Sniper TradingSniper Trader Indicator Overview
Sniper Trader is a comprehensive trading indicator designed to assist traders by providing valuable insights and alerting them to key market conditions. The indicator combines several technical analysis tools and provides customizable inputs for different strategies and needs.
Here’s a detailed breakdown of all the components and their functions in the Sniper Trader indicator:
1. MACD (Moving Average Convergence Divergence)
The MACD is a trend-following momentum indicator that helps determine the strength and direction of the current trend. It consists of two lines:
MACD Line (Blue): Calculated by subtracting the long-term EMA (Exponential Moving Average) from the short-term EMA.
Signal Line (Red): The EMA of the MACD line, typically set to 9 periods.
What does it do?
Buy Signal: When the MACD line crosses above the signal line, it generates a buy signal.
Sell Signal: When the MACD line crosses below the signal line, it generates a sell signal.
Zero Line Crossings: Alerts are triggered when the MACD line crosses above or below the zero line.
2. RSI (Relative Strength Index)
The RSI is a momentum oscillator used to identify overbought or oversold conditions in the market.
Overbought Level (Red): The level above which the market might be considered overbought, typically set to 70.
Oversold Level (Green): The level below which the market might be considered oversold, typically set to 30.
What does it do?
Overbought Signal: When the RSI crosses above the overbought level, it’s considered a signal that the asset may be overbought.
Oversold Signal: When the RSI crosses below the oversold level, it’s considered a signal that the asset may be oversold.
3. ATR (Average True Range)
The ATR is a volatility indicator that measures the degree of price movement over a specific period (14 bars in this case). It provides insights into how volatile the market is.
What does it do?
The ATR value is plotted on the chart and provides a reference for potential market volatility. It's used to detect flat zones, where the price may not be moving significantly, potentially indicating a lack of trends.
4. Support and Resistance Zones
The Support and Resistance Zones are drawn by identifying key swing highs and lows over a user-defined look-back period.
Support Zone (Green): Identifies areas where the price has previously bounced upwards.
Resistance Zone (Red): Identifies areas where the price has previously been rejected or reversed.
What does it do?
The indicator uses swing highs and lows to define support and resistance zones and highlights these areas on the chart. This helps traders identify potential price reversal points.
5. Alarm Time
The Alarm Time feature allows you to set a custom time for the indicator to trigger an alarm. The time is based on Eastern Time and can be adjusted directly in the inputs tab.
What does it do?
It triggers an alert at a user-defined time (for example, 4 PM Eastern Time), helping traders close positions or take specific actions at a set time.
6. Market Condition Display
The Market Condition Display shows whether the market is in a Bullish, Bearish, or Flat state based on the MACD line’s position relative to the signal line.
Bullish (Green): The market is in an uptrend.
Bearish (Red): The market is in a downtrend.
Flat (Yellow): The market is in a range or consolidation phase.
7. Table for Key Information
The indicator includes a customizable table that displays the current market condition (Bull, Bear, Flat). The table is placed at a user-defined location (top-left, top-right, bottom-left, bottom-right), and the appearance of the table can be adjusted for text size and color.
8. Background Highlighting
Bullish Reversal: When the MACD line crosses above the signal line, the background is shaded green to highlight the potential for a trend reversal to the upside.
Bearish Reversal: When the MACD line crosses below the signal line, the background is shaded red to highlight the potential for a trend reversal to the downside.
Flat Zone: A flat zone is identified when volatility is low (ATR is below the average), and the background is shaded orange to signal periods of low market movement.
Key Features:
Customizable Time Inputs: Adjust the alarm time based on your local time zone.
User-Friendly Table: Easily view market conditions and adjust display settings.
Comprehensive Alerts: Receive alerts for MACD crossovers, RSI overbought/oversold conditions, flat zones, and the custom alarm time.
Support and Resistance Zones: Drawn automatically based on historical price action.
Trend and Momentum Indicators: Utilize the MACD and RSI for identifying trends and market conditions.
How to Use Sniper Trader:
Set Your Custom Time: Adjust the alarm time to match your trading schedule.
Monitor Market Conditions: Check the table for real-time market condition updates.
Use MACD and RSI Signals: Watch for MACD crossovers and RSI overbought/oversold signals.
Watch for Key Zones: Pay attention to the support and resistance zones and background highlights to identify market turning points.
Set Alerts: Use the built-in alerts to notify you of buy/sell signals or when it’s time to take action at your custom alarm time.
在腳本中搜尋"price action"
EBL - Enigma BOS Logic: A Comprehensive Multi-Timeframe Trend anThe EBL (Enigma BOS Logic) script is designed for traders seeking an advanced and versatile tool for identifying market trends, breakouts, and critical price levels. This indicator leverages multi-timeframe analysis, trend filtering, and customizable guidance line settings to provide an all-in-one solution for informed trading decisions.
What Does EBL Do?
EBL identifies critical breakout levels (BOS - Break of Structure) on up to three selected timeframes and dynamically plots them as horizontal guidance lines. It combines these levels with trend analysis and user-defined filters to show only the most relevant data. The script offers flexibility to adapt to different trading styles, whether you're a scalper, day trader, or swing trader.
Key Features:
Multi-Timeframe Analysis:
Users can select three distinct timeframes (e.g., 4H, 30m, 15m).
Execution timeframe (e.g., 1m or 5m) overlays the lines from the selected higher timeframes for real-time precision.
Customizable Guidance Lines:
Define line length (horizontal bars) and choose whether lines extend to the current price.
Individual color settings for bullish and bearish lines.
Trend Detection Filter:
Automatically determines the overall market trend based on the 50-period SMA on each selected timeframe.
Displays only bullish lines during uptrends and bearish lines during downtrends.
Time-Limited Display:
Option to show only lines from the last three days, reducing clutter and focusing on recent price action.
Alerts:
Trigger alerts when price breaks above or below critical levels on any selected timeframe.
Users can choose to receive alerts only for specific timeframes.
How Does It Work?
Break of Structure (BOS):
The script captures key high and low levels on each selected timeframe.
Levels are dynamically updated as the market evolves.
Trend Filtering:
Trend direction is determined for each timeframe based on whether the close is above or below its 50-period SMA.
The overall trend combines signals from all three timeframes, providing a balanced and holistic view of the market.
User Control:
Customize everything: timeframes, colors, line behavior, and alert conditions.
Adjust filters to focus on your preferred time horizon (e.g., last 3 days).
How to Use:
Select up to three timeframes based on your trading strategy (e.g., 4H for macro view, 30m for intermediate trends, and 15m for precision).
Enable or disable the trend filter to control whether lines reflect the market's directional bias.
Configure alerts for breakout levels that align with your strategy.
Use the execution timeframe to see how higher timeframe levels interact with real-time price action.
Who Is It For?
This indicator is ideal for:
Trend Traders who want a clear view of directional bias across multiple timeframes.
Breakout Traders who need to identify key resistance and support levels dynamically.
Scalpers and Day Traders who require real-time precision by overlaying higher timeframe levels on lower execution timeframes.
Underlying Concepts:
Break of Structure (BOS): Highlights significant market pivot points, essential for identifying breakout opportunities.
Multi-Timeframe Confluence: Combines insights from various timeframes to create a balanced understanding of price behavior.
Trend Filtering: Ensures clarity by only displaying levels that align with the overall market direction.
EBL - Enigma BOS Logic is not just another breakout indicator. It is a comprehensive tool that combines multi-timeframe analysis, trend detection, and user-centric customization to empower traders with actionable insights. Whether you're analyzing macro trends or executing precision trades, EBL adapts to your strategy and provides clarity in the chaos of the market.
ZenAlgo - Advanced RSIZenAlgo - Advanced RSI is a technical indicator that combines the classic Relative Strength Index (RSI) with advanced tools, such as moving averages, histograms, divergence detection, and trend analysis. This integration provides traders with deeper insights into market dynamics, helping them identify critical entry and exit points. The indicator is designed to synergistically merge these features, delivering a comprehensive analytical tool that simplifies market analysis while providing actionable insights.
Additionally, it includes a Multi TimeFrame table, allowing traders to monitor RSI values and trends across six different timeframes in one view. This enhancement provides a broader perspective on market dynamics and helps traders identify consistent or diverging trends across multiple timeframes, enabling more precise decision-making.
Features
RSI with Moving Averages:
Offers five types of moving averages (SMA, EMA, WMA, SMMA, VWMA) to suit various trading styles and market conditions.
Moving averages are overlaid on RSI, allowing traders to detect support/resistance levels and momentum shifts directly on the RSI panel.
RSI Histogram:
Displays the difference between RSI and its moving average.
Positive histogram values indicate rising momentum, while negative values show declining momentum.
Automatically detects and highlights divergences with color-coded bars (red for bearish, green for bullish).
Bollinger Bands for RSI:
Adds upper and lower bands to RSI, visualizing volatility and overbought/oversold conditions.
Divergence Detection:
Identifies and visualizes both regular and hidden divergences, marking key reversal or trend continuation points.
Labels divergences with R (regular) or H (hidden) to provide clarity on their implications.
Bollinger Bands for RSI:
Adds upper and lower bands to RSI, visualizing volatility and overbought/oversold conditions.
Diamond Signals:
Marks crossovers of RSI and its moving average in overbought (RSI > 70) or oversold (RSI < 30) zones with diamond symbols, highlighting potential reversals.
Multi TimeFrame Table:
Displays RSI values for six different timeframes in a clear and intuitive table.
Calculates the trend on each timeframe based on the average direction of the last three candles. Trends are categorized as "rising" (increasing), "falling" (decreasing), or "neutral" (stable).
Provides easily interpretable insights across timeframes, allowing traders to focus on the current chart without switching timeframes manually.
Added Value: Why Is This Indicator Original/Why Shall You Pay for This Indicator?
ZenAlgo - Advanced RSI is a cohesive system where each component enhances the others. The originality and added value of the indicator come from:
1. Synergy Between Components:
Unlike standalone indicators, which can provide isolated or incomplete insights, ZenAlgo - Advanced RSI combines RSI, moving averages, and divergence detection into a unified system. For instance:
The RSI histogram integrates momentum and trend strength in a single visualization, eliminating the need for multiple separate tools.
Divergences are calculated using both price action and histogram trends, providing more reliable signals compared to divergence detection using only RSI.
2. Customization for Traders:
The ability to select from various moving averages (e.g., EMA for fast responses, SMA for smoother trends) allows users to tailor the indicator to different trading environments and strategies.
3. Actionable Visual Cues:
Diamond signals, histogram bars, and divergence markings make complex market patterns easier to interpret, reducing the cognitive load for traders.
4. Enhanced Divergence Analysis:
Built-in detection of regular and hidden divergences offers clarity and saves traders the effort of manually analyzing charts.
5. Bollinger Bands Integration:
Adding Bollinger Bands to RSI provides insights into volatility and momentum that go beyond what traditional Bollinger Bands or RSI can deliver individually.
6. Multi TimeFrame Table:
The Multi Time Frame table adds a new layer of analytical depth by consolidating RSI values and trends from multiple timeframes into a single tool. This helps traders identify consistent or diverging trends across timeframes, which is crucial for adjusting trading strategies to suit specific market conditions.
7. All-in-One Efficiency:
Instead of juggling multiple indicators, traders gain a streamlined tool that consolidates trend, momentum, and volatility analysis into a single, easy-to-read panel.
How It Works
1. RSI Calculation:
RSI is calculated using the standard formula to determine the relative strength of upward and downward price movements over a specified period.
2. Moving Averages:
Users choose from SMA, EMA, WMA, SMMA, or VWMA. The selected moving average is computed using RSI values, not price data, to better align with the indicator's momentum focus.
3. Histogram:
The histogram shows the difference between RSI and its moving average. Positive values indicate RSI is above its moving average, signaling increasing momentum; negative values indicate the opposite.
4. Divergence Detection:
Regular divergences are identified when price forms higher highs or lower lows, while RSI trends in the opposite direction.
Hidden divergences are marked when price forms higher lows or lower highs, but RSI trends differently.
Divergence is validated using both histogram and price trends for enhanced reliability.
5. Bollinger Bands for RSI:
The upper and lower bands are based on the RSI and a configurable standard deviation, highlighting moments of high volatility and overbought/oversold conditions.
6. Trend Analysis:
The indicator computes an average RSI value over last few candles to detect trend strength and direction, helping traders identify when trends are gaining or losing momentum.
7. Diamond Signals:
Signals are triggered when RSI crosses its moving average within overbought or oversold zones. These events are plotted as diamonds for quick visualization.
Please note that this indicator does not trigger any alerts or direct buy/sell signals.
8. Multi TimeFrame Table:
RSI values are calculated for six separate time frames chosen by the user (e.g., 1-minute, 5-minute, 1-hour).
The trend is determined by averaging the direction of the last three candles on each timeframe. Results are displayed as "rising," "falling," or "neutral" in the table.
The table serves as a quick-reference tool for analyzing trends and RSI values across multiple market perspectives.
Usage Examples
Tracking Trends: Use the histogram to monitor momentum: positive values indicate strengthening trends, while negative values suggest weakening trends.
Spotting Divergences: Look for regular divergences (R) to anticipate reversals and hidden divergences (H) to confirm trend continuation.
Utilizing Diamond Signals: When diamonds appear in overbought or oversold zones, they signal potential market reversals, allowing traders to act quickly.
Analyzing Volatility: Bollinger Bands on RSI highlight moments of high volatility, providing additional confirmation for potential trend changes.
Quick Assessment of RSI values: Use the Multi TimeFrame table to quickly assess RSI values and trends on different timeframes. Consistent trends (e.g., "rising" RSI on most timeframes) suggest market alignment, while diverging trends may indicate potential reversals or conflicting market signals. Use this insight to refine entries and exits.
Settings
RSI Length: Number of candles used for RSI calculation.
RSI Source: Data source for RSI calculation.
MA Type: Type of moving average (SMA, EMA, RMA, WMA, VWMA).
MA Length: Number of RSI values used for moving average calculation.
BB StdDev: Standard deviation length for Bollinger Bands calculation.
Disable / enable display of: Bullish, Bearish, Hidden Bullish and Hidden Bearish divergences.
Show table RSI & MA: display or hide Multi TimeFrame RSI table.
Table position / size: set MultiTimeFrame table position to suit your needs and keep it from obstructing other indicator views
Important Notes
This indicator is a technical analysis tool and does not guarantee trading success.
Use it in conjunction with other indicators and fundamental analysis for a more comprehensive trading strategy.
In strong trends, divergences may become less reliable as price action overrides momentum indicators.
MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVG🔵 Introduction
The MMXM Smart Money Reversal leverages key metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, Market Structure Shift (MSS) or (ChoCh), CISD, and Fair Value Gap (FVG) to identify critical turning points in the market. Designed for traders aiming to analyze the behavior of major market participants, this setup pinpoints strategic areas for making informed trading decisions.
The document introduces the MMXM model, a trading strategy that identifies market maker activity to predict price movements. The model operates across five distinct stages: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. This systematic approach allows traders to differentiate between buyside and sellside curves, offering a structured framework for interpreting price action.
Market makers play a pivotal role in facilitating these movements by bridging liquidity gaps. They continuously quote bid (buy) and ask (sell) prices for assets, ensuring smooth trading conditions.
By maintaining liquidity, market makers prevent scenarios where buyers are left without sellers and vice versa, making their activity a cornerstone of the MMXM strategy.
SMT Divergence serves as the first signal of a potential trend reversal, arising from discrepancies between the movements of related assets or indices. This divergence is detected when two or more highly correlated assets or indices move in opposite directions, signaling a likely shift in market trends.
Liquidity Sweep occurs when the market targets liquidity in specific zones through false price movements. This process allows major market participants to execute their orders efficiently by collecting the necessary liquidity to enter or exit positions.
The HTF PD Array refers to premium and discount zones on higher timeframes. These zones highlight price levels where the market is in a premium (ideal for selling) or discount (ideal for buying). These areas are identified based on higher timeframe market behavior and guide traders toward lucrative opportunities.
Market Structure Shift (MSS), also referred to as ChoCh, indicates a change in market structure, often marked by breaking key support or resistance levels. This shift confirms the directional movement of the market, signaling the start of a new trend.
CISD (Change in State of Delivery) reflects a transition in price delivery mechanisms. Typically occurring after MSS, CISD confirms the continuation of price movement in the new direction.
Fair Value Gap (FVG) represents zones where price imbalance exists between buyers and sellers. These gaps often act as price targets for filling, offering traders opportunities for entry or exit.
By combining all these metrics, the Smart Money Reversal provides a comprehensive tool for analyzing market behavior and identifying key trading opportunities. It enables traders to anticipate the actions of major players and align their strategies accordingly.
MMBM :
MMSM :
🔵 How to Use
The Smart Money Reversal operates in two primary states: MMBM (Market Maker Buy Model) and MMSM (Market Maker Sell Model). Each state highlights critical structural changes in market trends, focusing on liquidity behavior and price reactions at key levels to offer precise and effective trading opportunities.
The MMXM model expands on this by identifying five distinct stages of market behavior: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. These stages provide traders with a detailed roadmap for interpreting price action and anticipating market maker activity.
🟣 Market Maker Buy Model
In the MMBM state, the market transitions from a bearish trend to a bullish trend. Initially, SMT Divergence between related assets or indices reveals weaknesses in the bearish trend. Subsequently, a Liquidity Sweep collects liquidity from lower levels through false breakouts.
After this, the price reacts to discount zones identified in the HTF PD Array, where major market participants often execute buy orders. The market confirms the bullish trend with a Market Structure Shift (MSS) and a change in price delivery state (CISD). During this phase, an FVG emerges as a key trading opportunity. Traders can open long positions upon a pullback to this FVG zone, capitalizing on the bullish continuation.
🟣 Market Maker Sell Model
In the MMSM state, the market shifts from a bullish trend to a bearish trend. Here, SMT Divergence highlights weaknesses in the bullish trend. A Liquidity Sweep then gathers liquidity from higher levels.
The price reacts to premium zones identified in the HTF PD Array, where major sellers enter the market and reverse the price direction. A Market Structure Shift (MSS) and a change in delivery state (CISD) confirm the bearish trend. The FVG then acts as a target for the price. Traders can initiate short positions upon a pullback to this FVG zone, profiting from the bearish continuation.
Market makers actively bridge liquidity gaps throughout these stages, quoting continuous bid and ask prices for assets. This ensures that trades are executed seamlessly, even during periods of low market participation, and supports the structured progression of the MMXM model.
The price’s reaction to FVG zones in both states provides traders with opportunities to reduce risk and enhance precision. These pullbacks to FVG zones not only represent optimal entry points but also create avenues for maximizing returns with minimal risk.
🔵 Settings
Higher TimeFrame PD Array : Selects the timeframe for identifying premium/discount arrays on higher timeframes.
PD Array Period : Specifies the number of candles for identifying key swing points.
ATR Coefficient Threshold : Defines the threshold for acceptable volatility based on ATR.
Max Swing Back Method : Choose between analyzing all swings ("All") or a fixed number ("Custom").
Max Swing Back : Sets the maximum number of candles to consider for swing analysis (if "Custom" is selected).
Second Symbol for SMT : Specifies the second asset or index for detecting SMT divergence.
SMT Fractal Periods : Sets the number of candles required to identify SMT fractals.
FVG Validity Period : Defines the validity duration for FVG zones.
MSS Validity Period : Sets the validity duration for MSS zones.
FVG Filter : Activates filtering for FVG zones based on width.
FVG Filter Type : Selects the filtering level from "Very Aggressive" to "Very Defensive."
Mitigation Level FVG : Determines the level within the FVG zone (proximal, 50%, or distal) that price reacts to.
Demand FVG : Enables the display of demand FVG zones.
Supply FVG : Enables the display of supply FVG zones.
Zone Colors : Allows customization of colors for demand and supply FVG zones.
Bottom Line & Label : Enables or disables the SMT divergence line and label from the bottom.
Top Line & Label : Enables or disables the SMT divergence line and label from the top.
Show All HTF Levels : Displays all premium/discount levels on higher timeframes.
High/Low Levels : Activates the display of high/low levels.
Color Options : Customizes the colors for high/low lines and labels.
Show All MSS Levels : Enables display of all MSS zones.
High/Low MSS Levels : Activates the display of high/low MSS levels.
Color Options : Customizes the colors for MSS lines and labels.
🔵 Conclusion
The Smart Money Reversal model represents one of the most advanced tools for technical analysis, enabling traders to identify critical market turning points. By leveraging metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, MSS, CISD, and FVG, traders can predict future price movements with precision.
The price’s interaction with key zones such as PD Array and FVG, combined with pullbacks to imbalance areas, offers exceptional opportunities with favorable risk-to-reward ratios. This approach empowers traders to analyze the behavior of major market participants and adopt professional strategies for entry and exit.
By employing this analytical framework, traders can reduce errors, make more informed decisions, and capitalize on profitable opportunities. The Smart Money Reversal focuses on liquidity behavior and structural changes, making it an indispensable tool for financial market success.
Candle Spread Oscillator (CS0)The Candle Spread Oscillator (CSO) is a custom technical indicator designed to help traders identify momentum and directional strength in the market by analyzing the relationship between the candle body spread and the total candle range. This oscillator provides traders with a visually intuitive representation of price action dynamics and highlights key transitions between positive and negative momentum.
How It Works:
Body Spread vs. Total Range:
The CSO calculates the body spread (difference between the close and open price) and compares it to the total range (difference between the high and low price) of a candle.
The ratio of the body spread to the total range represents the proportion of price movement driven by directional momentum.
Smoothed Oscillator:
To remove noise and enhance clarity, the ratio is smoothed using a Hull Moving Average (HMA). The smoothing period can be adjusted through the "Smoothing Period" input, enabling traders to tailor the indicator to their preferred timeframes or strategies.
Gradient Visualization:
A gradient coloring is applied to the oscillator, transitioning smoothly between colors (e.g., fuchsia for negative momentum and aqua for positive momentum). This provides traders with a clear, intuitive visual cue of market behavior.
Visual Features:
Oscillator Plot:
The oscillator is displayed as an area-style plot, dynamically colored using a gradient. Positive values are represented in shades of aqua, while negative values are in shades of fuchsia.
Midline (0 Level):
A horizontal midline is plotted at the zero level, serving as a key reference point for identifying transitions between positive and negative momentum.
Background Highlights:
The chart background is subtly colored to match the oscillator's state, enhancing the visual emphasis on current momentum conditions.
Alerts for Key Crossovers:
The CSO comes with built-in alert conditions, making it highly actionable for traders:
Cross Up Alert: Triggers when the oscillator crosses above the midline (0), signaling a potential shift into positive momentum.
Cross Down Alert: Triggers when the oscillator crosses below the midline (0), indicating a potential transition into negative momentum.
These alerts allow traders to stay informed about critical market shifts without constantly monitoring the chart.
How to Use:
Trend Identification:
When the oscillator is above the midline and positive, it indicates that price action is moving with bullish momentum.
When the oscillator is below the midline and negative, it reflects bearish momentum.
Momentum Strength:
The magnitude of the oscillator (its distance from the midline) helps traders gauge the strength of the momentum. Stronger moves will push the oscillator further from zero.
Potential Reversals:
Crossovers of the oscillator through the midline can signal potential reversals or shifts in market direction.
Customization:
Adjust the Smoothing Period to adapt the sensitivity of the oscillator to different timeframes. A lower smoothing period reacts faster to price changes, while a higher smoothing period smooths out noise.
Best Use Cases:
Momentum Trading: Identify periods of sustained bullish or bearish momentum to align with the trend.
Reversal Signals: Spot transitions in market direction when the oscillator crosses the midline.
Confirmation Tool: Use the CSO alongside other indicators (e.g., volume, trendlines, or moving averages) to confirm trading signals.
Key Inputs:
Smoothing Period: Customize the sensitivity of the oscillator by adjusting the lookback period for the Hull Moving Average.
Gradient Range: The color gradient transitions between defined thresholds (-0.1 to 0.2 by default), ensuring a smooth visual experience.
[Why Use the Candle Spread Oscillator?
The CSO is a simple yet powerful tool for traders who want to:
Gain a deeper understanding of price momentum.
Quickly visualize shifts between bullish and bearish trends.
Use clear, actionable signals with customizable alerts.
Disclaimer: This indicator is not a standalone trading strategy. It should be used in combination with other technical and fundamental analysis tools. Always trade responsibly, and consult a financial advisor for personalized advice.
Market Regime DetectorMarket Regime Detector
The Market Regime Detector is a tool designed to help traders identify and adapt to the prevailing market environment by analyzing price action in relation to key macro timeframe levels. This indicator categorizes the market into distinct regimes—Bullish, Bearish, or Reverting—providing actionable insights to set trading expectations, manage volatility, and align strategies with broader market conditions.
What is a Market Regime?
A market regime refers to the overarching state or condition of the market at a given time. Understanding the market regime is critical for traders as it determines the most effective trading approach. The three main regimes are:
Bullish Regime:
Characterized by upward momentum where prices are consistently trending higher.
Trading strategies often focus on buying opportunities and trend-following setups.
Bearish Regime:
Defined by downward price pressure and declining trends.
Traders typically look for selling opportunities or adopt risk-off strategies.
Reverting Regime:
Represents a consolidation phase where prices move within a defined range.
Ideal for mean-reversion strategies or range-bound trading setups.
Key Features of the Market Regime Detector:
Dynamic Market Regime Detection:
Identifies the market regime based on macro timeframe high and low levels (e.g., weekly or monthly).
Provides clear and actionable insights for each regime to align trading strategies.
Visual Context for Price Levels:
Plots the macro high and low levels on the chart, allowing traders to visualize critical support and resistance zones.
Enhances understanding of volatility and trend boundaries.
Regime Transition Alerts:
Sends alerts only when the market transitions into a new regime, ensuring traders are notified of meaningful changes without redundant signals.
Alert messages include clear regime descriptions, such as "Market entered a Bullish Regime: Price is above the macro high."
Customizable Visualization:
Background colors dynamically adjust to the current regime:
Blue for Reverting.
Aqua for Bullish.
Fuchsia for Bearish.
Option to toggle high/low line plotting and background highlights for a tailored experience.
Volatility and Expectation Management:
Offers insights into market volatility by showing when price action approaches, exceeds, or reverts within macro timeframe levels.
Helps traders set realistic expectations and adjust their strategies accordingly.
Use Cases:
Trend Traders: Identify bullish or bearish regimes to capture sustained price movements.
Range Traders: Leverage reverting regimes to trade between defined support and resistance zones.
Risk Managers: Use macro high and low levels as dynamic stop-loss or take-profit zones to optimize trade management.
The Market Regime Detector equips traders with a deeper understanding of the market environment, making it an essential tool for informed decision-making and strategic planning. Whether you're trading trends, ranges, or managing risk, this indicator provides the clarity and insights needed to navigate any market condition.
Fibonacci Channel Standard Deviation levels based off 200MAThis script dynamically combines Fibonacci levels with the 200-period simple moving average (SMA), offering a powerful tool for identifying high-probability support and resistance zones. By adjusting to the changing 200 SMA, the script remains relevant across different market phases.
Key Features:
Dynamic Fibonacci Levels:
The script automatically calculates Fibonacci retracements and extensions relative to the 200 SMA.
These levels adapt to market trends, offering more relevant zones compared to static Fibonacci tools.
Support and Resistance Zones:
In uptrends, price often respects retracement levels above the 200 SMA (e.g., 38.2%, 50%, 61.8%).
In downtrends, price may interact with retracements and extensions below the 200 SMA (e.g., 23.6%, 1.618).
Customizable Confluence Zones:
Key levels such as the golden pocket (61.8%–65%) are highlighted as high-probability zones for reversals or continuations.
Extensions (e.g., 1.618) can serve as profit targets or bearish continuation points.
Practical Applications:
Identifying Reversal Zones:
Look for confluence between Fibonacci levels and the 200 SMA to identify potential reversal points.
Example: A pullback to the 61.8%–65% golden pocket near the 200 SMA often signals a bullish reversal.
Trend Confirmation:
In uptrends, price respecting Fibonacci retracements above the 200 SMA (e.g., 38.2%, 50%) confirms strength.
Use Fibonacci extensions (e.g., 1.618) as profit targets during strong trends.
Dynamic Risk Management:
Place stop-losses just below key Fibonacci retracement levels near the 200 SMA to minimize risk.
Bearish Scenarios:
Below the 200 SMA, Fibonacci retracements and extensions act as resistance levels and bearish targets.
How to Use:
Volume Confirmation: Watch for volume spikes near Fibonacci levels to confirm support or resistance.
Price Action: Combine with candlestick patterns (e.g., engulfing candles, pin bars) for precise entries.
Trend Indicators: Use in conjunction with shorter moving averages or RSI to confirm market direction.
Example Setup:
Scenario: Price retraces to the 61.8% Fibonacci level while holding above the 200 SMA.
Confirmation: Volume spikes, and a bullish engulfing candle forms.
Action: Enter long with a stop-loss just below the 200 SMA and target extensions like 1.618.
Key Takeaways:
The 200 SMA serves as a reliable long-term trend anchor.
Fibonacci retracements and extensions provide dynamic zones for trade entries, exits, and risk management.
Combining this tool with volume, price action, or other indicators enhances its effectiveness.
RSI from Rolling VWAP [CHE]Introducing the RSI from Rolling VWAP Indicator
Elevate your trading strategy with the RSI from Rolling VWAP —a cutting-edge indicator designed to provide unparalleled insights and enhance your decision-making on TradingView. This advanced tool seamlessly integrates the Relative Strength Index (RSI) with a Rolling Volume-Weighted Average Price (VWAP) to deliver precise and actionable trading signals.
Why Choose RSI from Rolling VWAP ?
- Clear Trend Detection: Our enhanced algorithms ensure accurate identification of bullish and bearish trends, allowing you to capitalize on market movements with confidence.
- Customizable Time Settings: Tailor the time window in days, hours, and minutes to align perfectly with your unique trading strategy and market conditions.
- Flexible Moving Averages: Select from a variety of moving average types—including SMA, EMA, WMA, and more—to smooth the RSI, providing clearer trend analysis and reducing market noise.
- Threshold Alerts: Define upper and lower RSI thresholds to effortlessly spot overbought or oversold conditions, enabling timely and informed trading decisions.
- Visual Enhancements: Enjoy a visually intuitive interface with color-coded RSI lines, moving averages, and background fills that make interpreting market data straightforward and efficient.
- Automatic Signal Labels: Receive immediate bullish and bearish labels directly on your chart, signaling potential trading opportunities without the need for constant monitoring.
Key Features
- Inspired by Proven Tools: Building upon the robust foundation of TradingView's Rolling VWAP, our indicator offers enhanced functionality and greater precision.
- Volume-Weighted Insights: By incorporating volume into the VWAP calculation, gain a deeper understanding of price movements and market strength.
- User-Friendly Configuration: Easily adjust settings to match your trading preferences, whether you're a novice trader or an experienced professional.
- Hypothesis-Driven Analysis: Utilize hypothetical results to backtest strategies, understanding that past performance does not guarantee future outcomes.
How It Works
1. Data Integration: Utilizes the `hlc3` (average of high, low, and close) as the default data source, with customization options available to suit your trading needs.
2. Dynamic Time Window: Automatically calculates the optimal time window based on an auto timeframe or allows for fixed time periods, ensuring flexibility and adaptability.
3. Rolling VWAP Calculation: Accurately computes the Rolling VWAP by balancing price and volume over the specified time window, providing a reliable benchmark for price action.
4. RSI Analysis: Measures momentum through RSI based on Rolling VWAP changes, smoothed with your chosen moving average for enhanced trend clarity.
5. Actionable Signals: Detects and labels bullish and bearish conditions when RSI crosses predefined thresholds, offering clear indicators for potential market entries and exits.
Seamless Integration with Your TradingView Experience
Adding the RSI from Rolling VWAP to your TradingView charts is straightforward:
1. Add to Chart: Simply copy the Pine Script code into TradingView's Pine Editor and apply it to your desired chart.
2. Customize Settings: Adjust the Source Settings, Time Settings, RSI Settings, MA Settings, and Color Settings to align with your trading strategy.
3. Monitor Signals: Watch for RSI crossings above or below your set thresholds, accompanied by clear labels indicating bullish or bearish trends.
4. Optimize Your Trades: Leverage the visual and analytical strengths of the indicator to make informed buy or sell decisions, maximizing your trading potential.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Get Started Today
Transform your trading approach with the RSI from Rolling VWAP indicator. Experience the synergy of momentum and volume-based analysis, and unlock the potential for more accurate and profitable trades.
Download now and take the first step towards a more informed and strategic trading journey!
For further inquiries or support, feel free to contact
Best regards
Chervolino
Inspired by the acclaimed Rolling VWAP by TradingView
Fourier Transformed & Kalman Filtered EMA Crossover [Mattes]The Fourier Transformed & Kalman Filtered EMA Crossover (FTKF EMAC) is a trend-following indicator that leverages Fourier Transform approximation, Kalman Filtration, and two Exponential Moving Averages (EMAs) of different lengths to provide accurate and smooth market trend signals. By combining these three components, it captures the underlying market cycles, reduces noise, and produces actionable insights, making it suitable for detecting both emerging trends and confirming existing ones.
TECHNICALITIES:
>>> The Fourier Transform approximation is designed to identify dominant cyclical patterns in price action by focusing on key frequencies, while filtering out noise and less significant movements. It emphasizes the most meaningful price cycles, enabling the indicator to isolate important trends while ignoring minor fluctuations. This cyclical awareness adds an extra layer of depth to trend detection, allowing the EMAs to work with a cleaner and more reliable data set.
>>> The Kalman Filter adds dynamic noise reduction, adjusting its predictions of future price trends based on past and current data. As new price data comes in, the filter recalibrates itself to ensure that the price action remains smooth and devoid of erratic movements. This real-time adjustment is key to minimizing lag while avoiding false signals, which ensures that the EMAs react to more accurate and stable market data. The Kalman Filter’s ability to smooth price data without losing sensitivity to trend changes complements the Fourier approximation, ensuring a high level of precision in volatile and stable market environments.
>>> The EMA Crossover involves using two EMAs: a shorter EMA that reacts quickly to price movements and a longer EMA that responds more slowly. The shorter EMA is responsible for capturing immediate market shifts, detecting potential bullish or bearish trends. The longer EMA smooths out price fluctuations and provides trend confirmation, working with the shorter EMA to ensure the signals are reliable. When the shorter EMA crosses above the longer EMA, it indicates a bullish trend, likewise when it goes below the longer EMA, it signals a bearish trend. This setup provides a clear way to track market direction, with color-coded signals (green for bullish, red for bearish) for visual clarity. The flexibility of adjusting the EMA periods allows traders to fine-tune the indicator to their preferred timeframe and strategy, making it adaptable to different market conditions.
|-> A key technical aspect is that the first EMA should always be shorter than the second one. If the first EMA is longer than the second, the tool’s effectiveness is compromised because the faster EMA is designed to signal long conditions, while the longer one is made for signaling a bearish trend. Reversing their roles would lead to delayed or confused signals, reducing the indicator’s ability to detect trend shifts early and making it less efficient in volatile markets. This is the only key weakness of the indicator, failure to submit to this rule will result in confusion.
>>> These components work together like a clock to create a comprehensive and effective trend-following system. The Fourier approximation highlights key cyclical movements, the Kalman Filter refines these movements by removing noise, and the EMAs interpret the filtered data to generate actionable trend signals. Each component enhances the next, ensuring that the final output is both responsive and reliable, with minimal false signals or lag. creating an indicator using widespread concepts which haven't been combined before.
Summary
This indicator combines Fourier Transform approximation, Kalman Filtration, and two EMAs of different lengths to deliver accurate and timely trend-following signals. The Fourier approximation identifies dominant market cycles, while the Kalman Filter dynamically removes noise and refines the price data in real time. The two EMAs then use this filtered data to generate buy and sell signals based on their crossovers. The shorter EMA reacts quickly to price changes, while the longer EMA provides smoother trend confirmation. The components work in synergy to capture trends with minimal false signals or lag, ensuring traders can act promptly on market shifts. Customizable EMA periods make the tool adaptable to different market conditions, enhancing its versatility for various trading strategies.
To use the indicator, traders should adjust the EMA lengths based on their timeframe and strategy, ensuring that the shorter EMA remains shorter than the longer EMA to preserve the tool’s responsiveness. The color-coded signals offer visual clarity, making it easy to identify potential entry and exit points. This confluence of Fourier, Kalman, and EMA methodologies provides a smooth, highly effective trend-following tool that excels in both trending and ranging markets.
Statistical Anomaly IndicatorThe Statistical Anomaly Indicator is a sophisticated tool designed for traders to detect and highlight candles that significantly deviate from the expected price action based on statistical analysis. By leveraging historical price data, this indicator calculates an anticipated price range using a pricing model rooted in the mean and standard deviation of historical returns. When the actual price moves outside these statistical boundaries, the corresponding candles are marked on the chart, providing traders with unique insights into potential market anomalies.
Purpose and Unique Insights
The primary purpose of the Statistical Anomaly Indicator is to aid traders in identifying periods of abnormal price movements that may signify overbought or oversold conditions, potential reversals, or trend continuations. By highlighting these statistical outliers, the indicator offers:
Early Detection of Market Anomalies: Spot unusual price actions promptly.
Enhanced Decision-Making: Make more informed trading decisions by understanding when prices deviate from historical norms.
Versatility Across Markets: Applicable in various market contexts, whether trending or ranging.
This tool benefits both novice traders, by simplifying complex statistical concepts into visual cues, and experienced traders, by adding a quantitative edge to their analysis.
Methodology
Calculate the return of the period
return(t) = (close - close )/close
Calculate the mean of past returns within a specified window
mean = ta.sma(return , period)
Calculate the standard deviation of past returns within a specified window
stdev = ta.stdev(return , period)
Establish price upper and lower bound using the last close, mean and standard deviation
upper_bound = close * (1 + mean + stdev)
lower_bound = close * (1 + mean - stdev)
Mark the candles where the close price exceeds the established price range
close > upper_bound or close < lower_bound
Visual Presentation on the Chart
Color-Coded Triangles: The indicator places color-coded triangles below the bars of the candles that exceed the expected price range.
Green Triangles: Indicate a close above the upper bound (potential overbought condition).
Red Triangles: Indicate a close below the lower bound (potential oversold condition).
Immediate Recognition: These visual cues enable traders to quickly identify statistical anomalies without sifting through numerical data.
Practical Applications for Traders
Identifying Overbought/Oversold Conditions: Recognize when the asset price may have moved too far in one direction and could be due for a correction.
Spotting Potential Reversals: Use deviations as early signals of possible market reversals.
Confirming Trend Continuations: In strong trends, deviations might indicate momentum is continuing rather than reversing.
Identifying historical trends in the price action.
Combining with Other Tools and Analysis
To maximize the effectiveness of the Statistical Anomaly Indicator:
Pair with the Mean and Standard Deviation Lines Indicator:
Provides additional context by displaying the mean and standard deviation levels directly on the chart.
Use in Conjunction with Fundamental Analysis:
Validate whether statistical anomalies are supported by underlying economic factors or news events.
Integrate with Other Technical Indicators.
Limitations and Caveats
Not a Standalone Tool: Should not be used in isolation; always consider the broader market context.
Statistical Assumptions: Based on historical data; past performance does not guarantee future results.
False Signals: Like all indicators, it may generate false positives, especially in highly volatile or low-volume markets which is why context is needed to interpret the signals.
Parameter Selection: The chosen period for calculating mean and standard deviation can significantly affect the indicator's sensitivity.
Conclusion
The Statistical Anomaly Indicator offers a quantitative approach to identifying unusual price movements in the market. By transforming complex statistical data into simple visual signals, it empowers traders to make more informed decisions. Whether you're a novice trader seeking to understand market dynamics or an experienced trader looking to refine your strategy, this indicator provides practical benefits. Remember to integrate it with fundamental analysis and other technical tools to validate signals and enhance your trading decisions.
DP-OCR MTF & MA 2024This script developed is designed for multi-timeframe analysis of previous open, close, and range, with additional signal plots based on various percentage extension levels. It also incorporates EMA calculations for crossover strategies. Here's a quick breakdown of what the script does:
Key Features:
1. Timeframes:
o Two separate timeframes (TF1 and TF2), which can be set by the user (e.g., 15 mins, 30 mins, daily, etc.). The script computes price actions and extensions for both timeframes. For better analysis, use Daily in TF1 and Weekly in TF2
2. Extension Levels:
o Calculates and plots 10%, 21%, 31%, 51%, and 61% extensions (both positive and negative) for each timeframe.
o The most commonly used extension levels are 61%, 31%, -61%, and -21%.
o These extension levels can be turned on or off by the user.
3. Open/Close/Range:
o Tracks the high, low, open, and close for both timeframes.
o Highlights open/close gaps.
o Plots the previous high/low range for both timeframes with a fill and different colors based on price movement.
How to Use:
• You can toggle specific extension levels on or off in the script’s settings.
• For example, when price hits a +61% extension, it could signal a breakout, and when it hits a -61% extension, it may indicate a potential retracement.
• Use these levels in conjunction with your price action analysis to set entry/exit points or stop-loss levels.
4. Today’s Open:
o Plots today’s opening price for both timeframes.
How to Use:
• Use today’s open as a key reference point to determine the day’s price action.
• Compare today’s open with the previous high/low or extension levels to evaluate possible trends or reversals.
5. EMA Calculations:
o The script calculates 5, 15, and 20 period EMAs and plots them on the chart.
o Additional EMA crossover signals can be included for strategy optimization.
How to Use:
• Observe the EMAs for potential crossover signals. For example, a 5-period EMA crossing above a 15-period or 20-period EMA may signal a buy opportunity, while a crossover in the opposite direction may signal a sell.
• Combine the EMA crossovers with extension levels or previous price data to refine your entries and exits.
Customizations Available:
• Users can select whether to display extension levels for either timeframe.
• The script allows automatic adaptation to intraday, daily, weekly, or monthly timeframes based on the current chart settings.
Moreover, the extension levels are calculated based on the previous period’s range, with the most commonly usable extension levels being 61, 31, -61, and -21. These levels are often used for identifying potential price retracements, breakouts, or reversal points in technical analysis.
Market Oracle Plus [ChartPrime]ChartPrime Oracle Plus combines actionable, elegant and functional indicators into a single toolkit. It builds upon previously laid out creations in order to create a more advanced experience. Combinations of both trend following and contrarian logic aim to provide traders with a deeper insight into market movements; aiming to assist in better entries and exits.
Designed and created by the ChartPrime team, this toolkit takes deeper level theory and expresses it in a usable format for traders. ChartPrime Oracle Plus is designed to satisfy and cover major trading theories allowing the user to pick and select the features that fit them.
Trend signals, Prime Ranges and Quantum Reactor
When using any indicator suite it is important to understand these tools are there to assist trading rather than to be a single source of truth. Functionality such as Auto Maximization of parameters is there to guide and enhance user experience, however it is important to be aware of overfitting results.
Plus features:
ChartPrime Market Oracle Plus has introduced some unique additions in order to enhance traders’ experiences.
Custom Signals: Toolkits and signals often limit traders to a single algorithm. This reduces flexibility and adaptability in the market. Traders will often want to develop their own systems without the constraints of an existing one. Market Oracle Plus introduces a custom signals builder; taking components in the toolkit and allowing them to be combined into a single signal/alert. Want a signal when the trend changes with bullish candlestick patterns? With a few clicks this can now be enabled. Traders can also set alerts on their custom signals making automating trades easier than ever.
Custom signals labelled with a cross
The Quantum tools. Looking at the tiny in the market and making it clearer.
Quantum Bands: The quantum bands provide areas of highly likely reversals to occur by analysing market momentum and noise. They can be used classically and are comparable in application to the commonly used bollinger bands. When price finds itself inside a zone it is more likely to reverse. This is excellent when used in confluence with other reversal indicators. The reason these bands are unique is their ability to adapt to trending markets allowing not only reversals to be identified in ranging markets but also trending ones leveraging volatility calculations. They also enable the user to use MTF functionality to load bands from higher timeframes. This allows users to have a broader perspective of support and resistance levels in the market.
The quantum bands are powerful for scalpers who want faster entries and exits. Entering a trade on a bands extremity can give earlier entries and exiting on the touch of the opposing band can serve as a great take profit.
Quantum Bands bounce
Quantum Reactor: The quantum reactor is a custom weighted moving average analyzing trends in the market. Unlike another moving averages; weighting has been considered to account for ranging markets. The Reactor will turn gray in a ranging market to avoid chop allowing for filtering of trades. This offers a unique insight into price action. Classical moving averages will constantly attempt to re-adapt to a trend whereas the Reactor will avoid adaptation where it sees fit.
Filtering a ranging market
Features included & Use cases:
Signal Mode: Select the type of assistive signals you are requiring. Provided are both trend following signals with self optimization using backtest results as well as reversal signals, aiming to provide real time tops and bottoms in markets. Both these signal modes can be fine tuned using the tuning input to refine signals to a trader's liking. The ChartPrime Auto Maximizer will automatically apply a backtested parameter and display the "best performing signals" on your chart. It is important to note this is not indicative of future results. ChartPrime Trend Signals leverage audio engineering inspired techniques and low-pass filters in order to achieve and attempt to produce lower lag response times and therefore is designed to have a uniqueness when compared to more classical trend following approaches.
Candle Highlighting: Choose between a clean gradient or more classical red/green coloring. These color the candles to assist with trend identification.
ChartPrime Dashboard: This redesigned dashboard provides 4 simple to interpret metrics. Firstly, the Optimal Tuning box provides a backtested result giving you the most accurate input. Again, it is important to note this is not indicative of future results. A Prime Score is also provided. This metric is a collection of ChartPrime trend following indicators bundled into a single item. It ranges from 0 (being a very bearish trend) to 10 (being a very bullish trend). 5 would indicate a ranging market. A consolidation score is also provided showing how "ranging" the market is. 10 being a low volatility and consolidating market and 0 being a more volatile and trending market which can assist the trader in avoiding ranges (if undesired). Finally the market prophecy gives simple forecasts in text form giving outlooks on potential activity.
The unique bar based visualization makes it clearer than ever to quantify key metrics on your chart.
Additional Features:
The Dynamic Reactor provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique low lag adaptivity calculations gives this plot a unique and fast behavior. This gives a unique edge to standard high length moving averages.
The Prime Ranges provide VWAP inspired real time actionable ranges on your chart. These ranges provide support and resistance levels as well as coloring, once again, there to aid trend identification. By generating a distribution and projecting it we produce real time levels for traders.
Candlestick structures analyze candlestick formation putting a spin on classical candlestick patterns and provide the most relevant formations on the chart. These are not classical and are filtered by further analyzing market activity. A trader's classic with a spin.
The Prime Trend Assistant provides a trend following dynamic support and resistance level. This makes it perfect to use in confluence or as a filter for other supporting indicators. This is an adaptive trend following system designed to handle volatility leveraging filter kernels as opposed to low pass filters.
Settings:
Signal Mode: Drop down to select the types of signals wanted
Tuning: Integer input to adjust signal's responsiveness. Lower inputs result in more frequent signals being produced.
Auto Maximizer Toggle: Automatically apply a backtested parameter to the signals
Dashboard Size: Drop down to select the size of the dashboard
Dashboard Position: Change the location of the dashboard on your chart
Additional Features: A set of toggles turning on/off these indicators.
Example Usecases:
Trend based confluences:
ChartPrime Oracle Plus provides classical (all be-it self optimizing) trend based signals. When trading, taking into consideration other forms of confluences are crucial. Take the image below:
Here we see the quantum reactor being green suggesting the market was in an upwards trend. We then see a sell signal appear. Knowing that we were in a macro uptrend allows us to filter out signals that go against this. Albeit basic; understanding multi-level confluence is key.
Features such as the Prime Ranges have duplicate usecases whereby a trend can be identified via the color of the bands as well as providing TP/SL levels. Considering these assisting features is vital before entering a trade.
Contrarian trading methodologies:
Commonly; trading with a trending market is most well known. However; markets are just as susceptible to ranging behaviors. ChartPrime has designed this toolkit to cater to most market conditions. For example, finding confluence between reversal indicators such as our contrarian signals and the Quantum Band can provide for some very strong confluence that can help a trader attempt to enter at bottoms of retracements and achieve the best possible entries or exits.
Developing confluences as shown above can be key to a trader's success. It is important to avoid biases when looking at indicators and view the market as objectively as possible.
ChartPrime believes that there is no magic indicator that is able to print money. Indicator toolkits provide value via their convenience, adaptability and uniqueness. Combining these items can help a trader make more educated; less messy, more planned trades and in turn hopefully help them succeed.
Risk Disclaimer
All content and developments created by ChartPrime are purely for informational & educational purposes only. Past performance does not guarantee future results. Suggested usecases are theoretical.
WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades
Overview
The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities.
This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions.
Originality and Usefulness
The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals.
The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions.
How the Components Work Together
1. Cross-Validation of Signals
WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals.
RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals.
Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume.
Example Bullish scenario:
When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator.
Example Bearish scenario:
When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator.
2. Divergence Detection and Market Reversals
Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high.
Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy.
Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market.
A Regular Bullish Divergence Example:
A Hidden Bullish Divergence Example:
A Regular Bearish Divergence Example:
A Hidden Bearish Divergence Example:
3. Trend Strength and Sentiment Analysis
WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals.
Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse.
RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal.
Example:
During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent.
Example:
During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent.
Conclusion
The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics.
WAVETREND
Display of WaveTrend:
Display of WaveTrend Setting:
WaveTrend Indicator Explanation
The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis.
WaveTrend Input Settings:
WT MA Source: Default: HLC3
What it is: The data source used for calculating the WaveTrend Moving Average.
What it does: Determines the input data to smooth price action and filter noise.
Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price.
Length (WT MA Length): Default: 3
What it is: The period used to calculate the Moving Average.
What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes.
Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements.
WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12
What it is: Lengths used to calculate the WaveTrend channel and its average.
What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period.
Example: Higher values reduce noise and help in identifying more reliable trends.
Channel: Style, Width, and Color:
What it is: Customization options for the WaveTrend channel's appearance.
What it does: Adjusts how the channel is displayed, including line style, width, and color.
Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart.
WT Buy & Sell Signals:
What it is: Settings to enable and customize buy and sell signals based on WaveTrend.
What it does: Allows for the display of buy/sell signals and customization of their shapes and colors.
When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement.
When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend.
Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively.
WAVETREND OVERBOUGTH AND OVERSOLD LEVELS
Display of WaveTrend with Overbought & Oversold Levels:
Display of WaveTrend Overbought & Oversold Levels Settings:
WaveTrend Overbought & Oversold Levels Explanation
WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60
What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals.
What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity.
Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone.
Show OB/OS Levels: Default: True
What it is: Toggle options to show or hide the overbought and oversold levels on your chart.
What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds.
Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions.
Line Style, Width, and Color for OB/OS Levels:
What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color.
What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions.
Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification.
Example of Use:
Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order.
WAVETREND DIVERGENCES
Display of WaveTrend Divergence:
Display of WaveTrend Divergence Setting:
WaveTrend Divergence Indicator Explanation
The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts.
WaveTrend Divergence Input Settings:
Potential Reversal Range: Default: 28
What it is: The number of bars to look back when detecting potential tops and bottoms.
What it does: Sets the range for identifying possible reversal points based on historical data.
Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability.
Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35
What it is: The minimum overbought and oversold levels required for detecting potential reversals.
What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator.
Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals.
Lookback Bar Left & Right: Default: Left = 10, Right = 1
What it is: The number of bars to the left and right used to confirm a top or bottom.
What it does: Helps determine the position of peaks and troughs in the price action.
Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past.
Lookback Range Min & Max: Default: Min = 5, Max = 60
What it is: The minimum and maximum range for the lookback period when identifying divergences.
What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back.
Example: A wider range increases the chances of detecting divergences across different market conditions.
R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53
What it is: The threshold levels for detecting regular divergences.
What it does: Adjusts the sensitivity of the regular divergence detection.
Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals.
H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20
What it is: The threshold levels for detecting hidden divergences.
What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious.
Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts.
Divergence Label Options:
What it is: Options to display and customize labels for regular and hidden divergences.
What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors.
Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart.
Text Size and Color:
What it is: Customization options for the size and color of divergence labels.
What it does: Adjusts the readability and visibility of divergence labels on the chart.
Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly.
FAST & SLOW MONEY FLOW INDEX
Display of Fast & Slow Money Flow:
Display of Fast & Slow Money Flow Setting:
Fast Money Flow Indicator Explanation
The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions.
Fast Money Flow Input Settings:
Fast Money Flow: Length: Default: 9
What it is: The period used for calculating the Fast Money Flow.
What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal.
Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period.
Fast MFI Area Multiplier: Default: 5
What it is: A multiplier applied to the Money Flow area calculation.
What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator.
Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes.
Y Position (Y Pos): Default: 0
What it is: The vertical position adjustment for the Fast Money Flow plot on the chart.
What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators.
Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity.
Fast MFI Style, Width, and Color:
What it is: Customization options for how the Fast Money Flow is displayed on the chart.
What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow.
Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure.
Slow Money Flow Indicator Explanation
The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends.
Slow Money Flow Input Settings:
Slow Money Flow: Length: Default: 12
What it is: The period used for calculating the Slow Money Flow.
What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend.
Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility.
Slow MFI Area Multiplier: Default: 5
What it is: A multiplier applied to the Slow Money Flow area calculation.
What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance.
Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action.
Y Position (Y Pos): Default: 0
What it is: The vertical position adjustment for the Slow Money Flow plot on the chart.
What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators.
Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart.
Slow MFI Style, Width, and Color:
What it is: Customization options for the visual display of the Slow Money Flow on the chart.
What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow.
Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market.
RSI
Display of RSI:
Display of RSI Setting:
RSI Indicator Explanation
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling.
RSI Input Settings:
RSI Source: Default: Close
What it is: The data source used for calculating the RSI.
What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions.
Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period.
MA Type (Moving Average Type): Default: SMA
What it is: The type of moving average applied to the RSI for smoothing purposes.
What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements.
Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA).
RSI Length: Default: 14
What it is: The period over which the RSI is calculated.
What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals.
Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability.
RSI Plot Style, Width, and Color:
What it is: Options to customize the appearance of the RSI line on the chart.
What it does: Allows you to adjust the visual representation of the RSI, including the line width and color.
Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis.
Display of RSI with RSI Moving Average:
RSI Moving Average Explanation
The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals.
RSI Moving Average Input Settings:
MA Length: Default: 14
What it is: The period over which the Moving Average is calculated on the RSI.
What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication.
Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions.
MA Plot Style, Width, and Color:
What it is: Customization options for how the RSI Moving Average is displayed on the chart.
What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line.
Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator.
STOCHASTIC RSI
Display of Stochastic RSI:
Display of Stochastic RSI Setting:
Stochastic RSI Indicator Explanation
The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts.
Stochastic RSI Input Settings:
Stochastic RSI Length: Default: 14
What it is: The period over which the Stochastic RSI is calculated.
What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise.
Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions.
Display of Stochastic RSI %K Line:
Stochastic RSI %K Line Explanation
The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points.
Stochastic RSI %K Input Settings:
%K Length: Default: 3
What it is: The period used for smoothing the %K line of the Stochastic RSI.
What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals.
Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts.
%K Plot Style, Width, and Color:
What it is: Customization options for the visual representation of the %K line.
What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences.
Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change.
%K Fill Color (Above):
What it is: The fill color that appears above the %K line on the chart.
What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum.
Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent.
Display of Stochastic RSI %D Line:
Stochastic RSI %D Line Explanation
The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line.
Stochastic RSI %D Input Settings:
%D Length: Default: 3
What it is: The period used for smoothing the %D line of the Stochastic RSI.
What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals.
Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line.
%D Plot Style, Width, and Color:
What it is: Customization options for the visual representation of the %D line.
What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences.
Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot.
%D Fill Color (Below):
What it is: The fill color that appears below the %D line on the chart.
What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum.
Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify.
RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS
Display of RSI & Stochastic with Overbought & Oversold Levels:
Display of RSI & Stochastic Overbought & Oversold Settings:
RSI & Stochastic Overbought & Oversold Levels Explanation
The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal.
RSI & Stochastic Overbought & Oversold Input Settings:
RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130
What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators.
What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity.
Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside.
RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120
What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators.
What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions.
Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy.
RSI & Stochastic Overbought (OB) Band Customization:
OB Level 1: Width, Style, and Color:
What it is: Customization options for the visual appearance of the first overbought band on the chart.
What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart.
Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed.
OB Level 2: Width, Style, and Color:
What it is: Customization options for the visual appearance of the second overbought band on the chart.
What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band.
Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level.
RSI & Stochastic Oversold (OS) Band Customization:
OS Level 1: Width, Style, and Color:
What it is: Customization options for the visual appearance of the first oversold band on the chart.
What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent.
Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities.
OS Level 2: Width, Style, and Color:
What it is: Customization options for the visual appearance of the second oversold band on the chart.
What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions.
Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities.
RSI DIVERGENCES
Display of RSI Divergence Labels:
Display of RSI Divergence Settings:
RSI Divergence Lookback Explanation
The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. )
RSI Divergence Lookback Input Settings:
Lookback Left: Default: 10
What it is: The number of bars to look back from the current bar to detect a potential divergence.
What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences.
Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns.
Lookback Right: Default: 1
What it is: The number of bars to look forward from the current bar to complete the divergence pattern.
What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation.
Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable.
Lookback Range Min: Default: 5
What it is: The minimum range of bars required to detect a valid divergence.
What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences.
Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns.
Lookback Range Max: Default: 60
What it is: The maximum range of bars within which a divergence can be detected.
What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns.
Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals.
RSI Divergence Explanation
RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences.
RSI Divergence Input Settings:
R. Bullish Div Label: Default: True
What it is: An option to display labels for regular bullish divergences.
What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal.
Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing.
Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bullish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart.
R. Bearish Div Label: Default: True
What it is: An option to display labels for regular bearish divergences.
What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal.
Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing.
Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bearish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart.
H. Bullish Div Label: Default: False
What it is: An option to display labels for hidden bullish divergences.
What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend.
Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength.
Hidden Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bullish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information.
H. Bearish Div Label: Default: False
What it is: An option to display labels for hidden bearish divergences.
What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend.
Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure.
Hidden Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bearish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart.
Divergence Text Size and Color: Default: S (Small)
What it is: Settings to adjust the size and color of text labels for RSI divergences.
What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart.
Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart.
STOCHASTIC DIVERGENCES
Display of Stochastic RSI Divergence Labels:
Display of Stochastic RSI Divergence Settings:
Stochastic RSI Divergence Explanation
Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI.
Stochastic RSI Divergence Input Settings:
R. Bullish Div Label: Default: True
What it is: An option to display labels for regular bullish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal.
Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing.
Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart.
R. Bearish Div Label: Default: True
What it is: An option to display labels for regular bearish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal.
Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing.
Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart.
H. Bullish Div Label: Default: False
What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend.
Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength.
Hidden Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information.
H. Bearish Div Label: Default: False
What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend.
Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure.
Hidden Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart.
Divergence Text Size and Color: Default: S (Small)
What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences.
What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart.
Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart.
Alert System:
Custom Alerts for Divergences and Reversals:
What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI.
What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions.
Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected.
How to Use Alerts:
Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals.
By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy.
For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences.
How Components Work Together
Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making.
Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals.
Ideal For
Traders who require a reliable, multifaceted tool for detecting market trends and reversals.
Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets.
This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools.
Acknowledgements
Special thanks to these amazing creators for inspiration and their creations:
I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible!
vumanchu: VuManChu Cipher B Divergences.
MisterMoTa: RSI + Divergences + Alerts .
DevLucem: Plain Stochastic Divergence.
Note
This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
Tips,Notes,RulesEasy Annotation:
Quickly create custom annotations during your trading sessions to capture important ideas, strategies and observations as you go.
User-friendly Interface:
The indicator offers an intuitive interface, ensuring a smooth experience for adding notes to your chart.
Custom Appearance:
Personalize your annotations according to your preferences.
Adjust the text size to make your notes easily readable and tailored to your visual preferences.
Choose from a variety of colors to make your annotations visually distinct and recognizable.
Align your text according to your preferences to create a visually appealing graphic.
Flexible Positioning:
Place your annotations at the top, middle, or bottom of the chart, providing flexibility without obstructing your view of the price action.
Clear View of Price Action:
Make sure your personalized notes don't interfere with your analysis of market movements.
Tracking Trading Rules:
Use the indicator to record your trading rules, ensuring that you follow your established strategies consistently.
Implement and follow your risk management plans, helping you maintain control over your transactions.
Capture and examine the psychological cues that influence your decisions, promoting greater discipline in your approach to trading.
Improved Trading Experience:
The Trading Notes indicator integrates seamlessly into your trading workflow, allowing you to focus on market analysis and decision-making.
Develop a complete record of your trading sessions, facilitating post-analysis and continuous improvement.
[TTI] IBD Base Analysis (WEEKLY)📜 ––––HISTORY & CREDITS––––
This indicator, titled " IBD Base Analysis (WEEKLY)," is an original creation by TinTinTrading. It synthesises multiple metrics and visual cues to provide a comprehensive overview of market bases on a weekly timeframe. It is based on the teachings of Investors Business Daily (IBD) and William O'Neil. Mainly from attending all IBD Seminars, Courses and part of man IBD MeetUps. I have compiled most criteria and made it into indicator.
🦄 –––UNIQUENESS–––
What sets this indicator apart is its multi-faceted approach to base analysis. It doesn't just measure base depth or length, or plot a base structure with target (Cup with Handle, Double Bottoms, Flat Bases or other);
The IBD Base Analysis (WEEKLY) allows the user to pick the beginning and end of base and then runs through the criteria for a HEALTHY vs FAULTY Bases. The script is intended for a Weekly timeframe and is base agnostic - hence it can be used on any base pattern you want to analyse. By using the script you will be able to grab a quick visual if there are any faulty characteristics that you have be aware of. Furthermore, its user-friendly interface, complete with customisable color-coding and toggle-able advanced metrics, makes it a great tool for both novice and expert traders to incorporate into their trading.
🛠️ ––––WHAT IT DOES––––
👉 Analysis Table with customisable position. Each cell has additional information when you hover over it with a mouse to show what is required and what is faulty. The cells are color coordinated by user customisable color-coding. If the cell is green then it is bullish. If it is orange then it is soft violating condition and if it is red it is bearish.
Depth: First we look at the Depth of the base expressed in percent
Length: How many weeks long is the base
Number of Weeks under Accumulation (Acc Wks)
Number of Weeks under Distribution (Distrb Wks)
Number of Weeks showing Supporting action
Number of weeks which show wide and loose action (unfavorable), "10% WKs)
Number of weeks we close above the mid point
Grading of the close within the first 3 weeks after bottoming
Counting the Gap ups vs Gap down for the given period
👉 Base plots
+ plot under weeks where we have a tight action compared to previous week - this is considered favorable
▲ plot under down weeks where we show supporting action
⏺ appear under the 3 most important weeks in the base: The Week at the bottom, The week with the Largest Spread and the Week with the Largest Volume. Green means bullish action, Orange means soft violation. The tooltips on the circles show the Closing Range of the week.
- midpoint (in blue), this draws the midpoint within the base.
👉 18 month line - According to IBD the True Market Leaders Breakout and run for on average of 18 months before topping. For this reason I have included a customizable on/off line that plots 18 months back. What I want to see is if the stock has been in a strong uptrend (Stage 2 accumulation for those knowing the Stan Weinstein methodology) for the last18 months. If yes, you ought to consider the base higher risk than one that is just starting its move.
💡 ––––HOW TO USE IT––––
Add the indicator to your chart
Determine the beginning and the end of the base (use the settings in the indicator or drag the verical blue lines)
Read the price action based on the coloring and the criteria explained in the tooltips. Additionally familiarize yourself with the general tips for reading a base below.
💡 ––––GENERAL TIPS FOR READING THE ANALYSIS TABLE––––
Depth: IBD recommends bases to be under 30%. However, during a strong bear market some stocks can exhibit 1.5-2x the volatility. Yet, it is key within the IBD methodology to buy breakouts from proper Non-deep bases
Length: Many newer traders misinterpret small patterns for bases. This common misunderstanding is addressed by calculating the length of the base and determining if it is developed or immature.
Number of Weeks under Accumulation (Acc Wks): This is the first thing the late Market Wizard William O'neill looks into the base. How many weeks are showing signs of accumualtion and how many are showing signs of distribution (the cell below). Always look for Accumulation weeks to be more than distribution weeks.
Number of Weeks under Distribution (Dist Wks): See above
Number of Weeks showing Supporting action: New traders determine down week as bearish. However, within the methodology and extensive research IBD has given criteria of down weeks that are actually a bullish sign. Counting the number of weeks within the base that meet this criteria gives us this metric.
Number of weeks which show wide and loose action: If the base is not compact but it is wide and loose it is considered an unfavorable pattern. Generally, occurs within Stage 3 of a stock topping.
Wks > Mid: Utilizes a simple 'hack' of base reading. How many weeks have closed above the mid level of the base and how many have closed below the mid level of the base.
Grading of the close within the first 3 weeks of the bottom: The next cell looks at the price action subsequent of the 3 weeks after the bottom. These are very important as they show if accumulation is happening (strengthening the breakout hypothesis) or if it is not.
Counting the Gap ups vs Gap down for the given period: Lastly gaps are key footprint of institutional moves. We look for the number of DAILY gaps on the WEEKLY timeframe and compare the daily gap up vs the daily gap downs within the base.
REMEMBER, ALL TRADING INCLUDES RISK. NEVER RELY SOLELY ON A SINGLE INDICATOR. INCORPORATE IT INTO YOUR BROADER TRADING METHODOLOGY AS A COMPLEMENTING SOURCE OF INFORMATION.
Vector CandlesTitle: Vector Candles Indicator with PVSRA
Short Description: Visualize climax and above-average volume candles using PVSRA method for trend reversals and significant moves.
Long Description:
The Vector Candles Indicator with PVSRA (Price, Volume, Support, and Resistance Analysis) is designed to help traders visualize climax and above-average volume candles on the chart, which can indicate potential trend reversals and significant market moves. This indicator is suitable for various financial instruments, including stocks, forex, and cryptocurrencies.
This script uses the PVSRA method to determine the candle colour based on volume and price action. By analysing the relationships between price, volume, and support/resistance levels, it allows traders to better understand the market dynamics and make informed decisions.
The indicator displays candles in different colours to represent the volume and price action:
Climax Up (Lime): Bullish candle with high volume
Climax Down (Red): Bearish candle with high volume
Above Average Up (Blue): Bullish candle with above-average volume
Above Average Down (Fuchsia): Bearish candle with above-average volume
Normal Up (Gray): Bullish candle with normal volume
Normal Down (Dark Gray): Bearish candle with normal volume
The script is designed to work on the TradingView platform and is based on original contributions by plasmapug, infernix, peshocore, and xtech5192. It has been modified RapidFireOG for easy integration into your trading setup.
Add this powerful tool to your chart and enhance your trading analysis with the Vector Candles Indicator with PVSRA.
Professional Zones - Institutional Demand and Supply Imbalances
Intro to Supply and Demand Zone Technical Analysis
Supply and demand is an increasingly common strategy among day and swing traders in equity, forex, and the futures markets. The goal of analyzing supply and demand zones is to pre-determine where price action may pivot before that pivot happens, thus giving us an edge over the market. There are many unique charting/trading strategies that fit under the supply and demand umbrella, however we are going to focus primarily on Institutional Zones of Demand and Supply Imbalances, as this is what our TradingView indicator actively displays.
What are Institutional Zones of Demand and Supply Imbalances?
First, let’s break down the phrase above. The first word is ‘institutional’, which is a key aspect in our trading. As a retail trader, you must understand that retail traders (individual traders like you and I) have very little control and very little effect on price action in the major markets. The price action that we see everyday is caused by large institutions and hedge funds buying and selling equities in massive quantities.
This chart displays the price action for ES, which is the S&P500 E-mini futures .
At the time this guide was created, that chart for ES displays the low of this year (2022). You can see major highs and major lows, as well as steep drops and momentous runs.
Price action like this appears random to the naked eye, however it is all controlled by major institutions. These institutions place large buy and sell orders for markets such as the S&P 500 Index which causes these moves.
Our Institutional Demand and Supply Analysis attempts to discover the price zones where institutions have placed their buy/sell orders. Their buy orders create “demand zones”. And their sell orders create “supply zones”. Knowing where these zones exist allows us to anticipate price trend reversals so we can profitably participate in them alongside the major institutions when these key moves take place.
We are looking for areas in the chart where institutions have created major imbalances (more buy orders than sell orders or vice versa) which creates demand and supply zones that impact price action and trend reversals in predictable ways.
What Causes These Supply and Demand Zones?
Understanding that institutions control the price of the markets is crucial for understanding how these zones of supply and demand imbalances are formed, and it can be derived from historical price action.
There are two types of price action, balanced and imbalanced. Balanced price action is flat, consolidatory price action where the overall direction is sideways. Imbalanced price action is an exaggerated move in price either up or down. Now here is the key: institutional supply and demand imbalances are formed when price action goes from balanced to imbalanced. Below is an example of balanced price action .
There are clearly areas of institutional buy and sell orders that are causing price action to oscillate between the areas of demand and supply. The longer price action consolidates and moves sideways, the larger the volume profile will be in this range. In other words, more institutional orders will build up as price remains relatively the same for a longer period of time.
Here is how a demand zone is formed :
Due to bullish CPI news, price action went from balanced to imbalanced by exploding to the upside. This bullish price action filled all of the sell orders and broke past the previous area of supply. Because price moved up so fast, the buy orders did not get a chance to fill, essentially leaving an area with a high concentration of buy orders remaining. Hence, a new demand zone is formed which is shown here .
Our state-of-the-art indicator automatically scans for these historical shifts in price action (balanced to imbalanced) via our supply and demand zone detection formula, and displays them on your chart instantly. Remember the first image sent of blank price action? Here it is below:
The image below shows the exact same chart of ES, however, our advanced Professional Zones - Institutional Demand and Supply Imbalances indicator has been applied to the chart.
Just like that, price action has been transformed from unexplainable chaos to an orderly sequence of demand bounces and supply rejections.
Yes, all of these zones may be charted manually if one were to acquire the knowledge required to chart them by hand, and spend numerous hours going back in time to find all these zones. Additionally, these charts would then have to be constantly monitored and updated, which would require hours of work each day. This powerful indicator automates all of that work to give you more precious time to analyze and trade these zone-driven pivots in the markets.
How To Measure the Strength of Supply and Demand Zones?
The longer the consolidation takes place, the larger the demand/ supply zone will be. This strength is measured by the time frame of the origin of the zone.
Each zone may be formed on a different time frame, the biggest being the 1 Month time frame, and the smallest being the 30 Minute. Each supply and demand zone is automatically labeled based on the time frame from which the zone originated.
The weakest zones are derived from the 30 minute time frame. This means the zone only took two 30 minute candles to form, which is not a lot of time for institutions to place large orders. This means that the bounces and rejections off of these zones will usually be smaller, and usually won’t last more than a few days.
Larger zones such as 1 Day, 1 Week, and 1 Month often cause large swings in the market lasting weeks, months and even years. So pay attention not just to where the demand and supply zones currently appear, but also to the strength of that zone. You can see below that the demand zone that the market bottomed in and reversed out of in 2022 was in fact, a very strong weekly zone.
What is the Significance of Supply and Demand Zone Breaks?
These zones are order-based. This means that a supply zone level doesn’t turn into demand when price action breaks above it, and demand doesn’t turn into supply when price action breaks below it. It is unlike standard trend-based support and resistance levels. If price action breaks below demand by even $0. 01 , all of the buy orders have been filled and the demand must be deleted from the chart (and vice versa for a supply zone ).
While it is possible to play these zone breaks as continuation plays off of current momentous price action, it is unpredictable how far price will go up or down after breaking supply or demand during that leg.
However, in my years of supply and demand experience, I have noticed that if demand breaks, the market will eventually come down to the next viable demand zone . This is because without a pivot caused by an institutional-created demand or supply imbalance, there is often not enough participation to cause a sustainable trend reversal for a long period of time. Below is an example of this:
Above is the 4 Hour chart of TSLA bouncing up off of a demand zone . We call this a bounce in “no man's land”, as there is no major demand bounce to support this reversal to the upside. So in theory, price action should return lower to the next major historical zone of demand before it has a chance of pulling off a solid reversal. Here is what happened:
As you can see above, TSLA did indeed end up heading back down into the next major demand zone before getting a sustainable reversal to the upside. So you may play these supply and demand zone breaks as continuation trades, either long or short, with a price target at the next major zone. Just make sure to use proper risk management and position sizing, as timing the trigger of a price target can be difficult.
How Might I Place a Trade Using the Indicator?
Now that the basics of institutional supply and demand zones have been discussed, there will come a time that this strategy must be actively applied to personal trading with a goal of becoming profitable. Here is a step-by-step process to place a trade using supply and demand paired with an example of a day trade from the 1 minute time frame.
Step 1: Find a highly institutionally traded stock that is currently in supply or demand as shown by our indicator. For example, AAPL:
Step 2: Look for an above-average (exaggerated) volume spike. Because we are in one of the green zones at the bottom of the chart, we know that we are in demand where large institutional buy orders reside. We need to wait for some of these orders to actually fill before we take our trade. This is known as volume confirmation. The color of the volume usually does not matter in this situation.
Step 3: Now that we have a volume spike which is confirmation of large orders being filled, we need more confirmation that the institutional orders are not only a buy, but large enough to actually reverse the current trend.
This is ultimately a judgment call. A few green candles may be good enough to dictate a reversal, or a trend break. It comes down to personal preference and how aggressive you would like to be. Keep in mind, the longer you wait, the more confirmation your trade has, but also, the longer you wait, the greater the risk of missing the new trend. In this example, we will use a trend line to confirm our trend reversal.
Step 4: Enter the trade. Now that you have proper demand confirmation, you may place your trade. Be sure to determine your stop loss, price target, position size, and all other risk management factors along the way.
In this example, AAPL ran all the way up to supply before rejecting; making for a perfect demand to supply call trade. Also, more short trade entries could have been taken based off of the multiple supply rejections AAPL had.
The Bottom Line
There are many ways one may go about trading the stock market. However in my years of trading and teaching, there has never been a strategy that has not only changed my career, but improved the trading careers of my students, more dramatically than Institutional Zones of Demand and Supply Imbalances.
Though charting new zones and deleting broken ones everyday was time consuming and repetitive, the results of trading these zones made it well-worth the hours of charting. However, after months of development and fine-tuning, the painful charting process has been automated by this powerful indicator, completely replacing the tedious charting work for myself and my students.
While numerous other indicators include the name “Supply and Demand Zones”, we believe that no supply and demand indicator remotely this advanced and accurate available on TradingView. I am very blessed to finally bring this revolutionary tool to the market.
Introduction to the Aurora Demand and Supply Indicator for TradingView and its Functionality
This page is dedicated to providing a thorough walk-through of our Professional Zones - Institutional Demand and Supply Imbalances indicator. The settings functionality, customizability, and purpose will be discussed to give you an in-depth understanding of the indicator. Understanding the purpose of the different functions and settings is crucial to utilizing this powerful tool at its full potential.
First Look Upon Indicator Addition
After purchasing the indicator, your chart may initially appear cluttered, zoomed out, and hard to read. But do not worry, it just means the indicator settings must be fine-tuned to optimize your experience. Tt may appear overwhelming. However this page will discuss each major customizable setting and the functionality behind it to streamline your TradingView set up.
Filter Options Settings Category
This is the first customizable feature that appears when accessing the settings of the indicator. What Filter Zone Ranges does is allow you to filter the range at which zones appear both above and below the current asset price. With this setting unchecked, every single demand and supply zone within the 5k candle limit (or 20k limit if you have a premium TradingView account) will appear on your chart. This causes chart clutter which limits the visibility of price action.
If you have this setting activated, you can choose exactly the range of zones visible to you. This range is percent based and is measured both above and below the current market price. For example, if you activate Filter Zone Ranges and set the Filter Percentage at 7%, only zones within the range of 7% above, and 7% below the current asset price will be shown.
Demand/ Supply Zone Options Settings Category
The next two categories contain the majority of the customizability for supply and demand zones. The first option in both the Demand/ Supply Zone Options is Create Demand/Supply Zones. This toggle is very straight forward, you may choose whether or not to display all demand zones, or all supply zones.
The next two options are Demand/ Supply Zone Border and Demand/ Supply Zone Fill. Again, these are straight forward. The border setting allows you to edit both the color and opacity of the zones’ border lines. The fill setting allows you to edit the color and opacity of the interior of the supply/demand boxes.
Following the first pair of visual settings, you will see Demand/ Supply Zone Box Offset. This allows you to toggle how much the indicator offsets each zone from its origin point. In other words, move it to the left or right from the point in time at which the zone was created. The 0 offset is the base setting which is actually a slight offset to the right of the origin point to ensure that the candlesticks remain unobstructed visually.
After the offset options, you will find Demand/ Supply Zone ERC Multiple. This is a key setting which inputs the value our formula utilizes to scan the areas of institutional supply and demand imbalances. Unless you are extremely experienced with supply and demand analysis or you are running backtesting, it is highly recommended this value is left at ‘2’ for both the demand and supply options.
The next two options you will see in your indicator settings are Extend Demand/ Supply Zone and Demand/ Supply Zone Size. This feature allows you to customize exactly how far your zones will extend from the point of origin into the future.
The three options on the drop down menu are Extend, Fixed, and Dynamic. Each of these options extend your zones in a different fashion. It is important to note that the value inputted in the size option is the amount of units the zones will extend to the right for both Fixed and Dynamic options. The larger this input is, the further out the zones will extend into the future, and vice versa.
The final setting in the Demand/ Supply Zone Options category is Broken Zones to Keep and Broken Demand/ Supply Zone Fill. The Broken Zones to Keep input allows you to see recent supply or demand zones that have been broken and deleted from your chart. This may be useful for a trader in a few different ways. The Broken Demand/ Supply Zone Fill setting allows you to customize the number of broken zones displayed as well as their color and opacity. The most prominent example of this option’s utility is for traders that do not observe price action during the entirety of the market open.
If an individual left their charts for a few hours and missed a demand break, it may give the illusion that there was never a demand there and price action has been in “no-man's land” all day. However if that individual inputted ‘1’ in the Broken Zones to Keep setting, they would be able to see that a demand has broken. This may be useful as the trader may have an altered sentiment after knowing that a zone did in fact break.
Note: the value inputted is the amount of previously broken zones that will appear on your chart. For example, if the value ‘3’ is inputted, the three most recently broken zones will appear on your chart.
Time Frame Options Settings Category
Time Frame Options Settings allows you to toggle which supply and demand zones appear on your chart by time frame. For example, if you are analyzing a chart on a larger time frame such as the daily or weekly, the small 30 minute and 45 minute zones will often clutter your chart. By deselecting the weaker and smaller time frame zones, it will clean your chart up, allowing you to only see the zones that assist your analysis.
However the first two options in the category are unique.The first is Show Forming Zones. This option is extremely useful if you are watching price action play out live, when seeing the possibility of a supply or demand zone forming may be of benefit during your day trading. By toggling this setting ON, you will see all possible supply and demand zones forming in real time. However, this could cause clutter if multiple zones are forming at once in which case, toggling it off may be more beneficial.
The second option in the Timeframe Options category is the Show Zones Inside toggle, which controls the table at the top right of your screen (you may get rid of this table by deselecting tables in display settings).
This setting simply is a “yes” or “no” as to whether or not the table located at the top right of your screen will display the number of zones price action is currently sitting in. This setting is useful as zones may sometimes pile up on top of one another, making it hard to know exactly how many zones price action is currently sitting in.
Gap Options Settings Category
Just below the Timeframe Options category, is the Gap Options category. Gaps appear when two daily candles highs and lows do not overlap. These are often created when a catalyst is released into the market overnight causing a large move, resulting in a “gap” up or down the next morning.
A Gap often forms due to a strong move to the upside, and the indicator highlights this gap with a gray box. Gaps are important to many traders as there is often a large lack of liquidity inside the gap area, which often acts as a magnet that attracts future price action to fill it. If toggled on, the indicator displays the gap among the supply and demand zones seamlessly. The rest of the settings for this category are options to customize the color, opacity, size, and offset. These have the same effect as the options in the Demand/ Supply Zone Options category.
Text Options Settings Category
The final category in the indicator input settings is Text Options. This category allows you to toggle zone labeling on or off, and to specify how you would like the zone labels to appear. It’s strongly recommended that zone labeling is left ON because knowing the time frame a supply or demand zone originated from is a massive indicator of its strength. Top right alignment causes labeling such as “3H” to appear at the top right of each zone.
Indicator Data Limitations
There are a few limitations of TradingView which impact the Professional Zones - Institutional Supply and Demand Imbalances indicator. The first is the data TradingView provides to its users. With a basic TradingView account, a user only has access to 5,000 candles of data. So if a user is on the 1 minute time frame, that user can only see 5,000 candles before that current point. This is important because our advanced indicator scans historical price action that has formed supply and demand zones and displays it on your chart. This means that if a user is on a 1 minute time frame chart, they will only be able to see zones formed within the last 5,000 candles. Older supply and demand zones can not be displayed. However if a user has the Premium TradingView subscription, they can access up to 20,000 candles, which greatly increases the potential zones the user may see on the smaller time frames.
To counter this, we strongly recommend checking the larger time frames before starting your trading day, as there could be an old zone lurking behind the scenes. Once you spot it on the 30 minute time frame, for example, you may easily take note of the demand zone and its location.
The Bottom Line
This indicator has been intricately and powerfully designed to not only display institutional supply and demand imbalances more accurately and efficiently than any other TradingView indicator, but it has also been designed to give the user full control. Full control means the user has the ability to customize the appearance and inputs, as well as toggle specific objects visible to the trader.
We have meticulously designed the Professional Zones - Institutional Supply and Demand Imbalances indicator to be extremely valuable as a stand-alone strategy, as well as versatile enough to incorporate multiple other trading strategies on top of supply and demand .
However, in order for this indicator to be utilized by you at its full potential, it is important that you understand all of its features, capabilities and configuration options before you dive into trading.
MoonFlag Converging BandsThis script form a cloud that is made from multiple lines that are each similar to a moving average.
However, each line is different to moving averages as it uses an algorithm that is nonlinear, 'overshoot moving averages' better explains how they work.
A cloud (visible on the indicator plot) is formed from multiple 'overshoot moving average' lines, each with a different lookback length.
A single variable is provided in the settings which extends all lines which form the cloud.
So the cloud is formed from the max and min from multiple 'nonlinear' moving averages.
What is interesting here is that, ....when the cloud lines narrow or converge..... ,this signifies that all moving averages are narrowing.
However, as the algo does not use standard moving averages - it is a bit more spicy and has some merit with predicting a big or biggish move in advance, before it happens.
So, the overshoot moving averages have a predictive quality.
Whereas, standard moving averages always lag the present time price action.
Indeed, most indicators are based on moving averages and lag the price action.
I'll try and explain how the overshoot moving average works...
Each line which forms the cloud gives an indication of the price trend momentum.
So if the price action rises above a line. the line will follow and move up, however, when the price action reduces momentum or starts to move downwards, the underlying momentum will push the line to overshoot the price action. Hence the price action crossing lines (or extending beyond the cloud) can indicate a change in momentum of a price trend.
There is also a median line shown which can be quite useful. If the price action stays about the median, this would suggest increasing bullish momentum. Then if the price action crosses the median - this is reasonable grounds to think about getting out of a trade as a change in momentum, on multiple timeframes has occured.
So, ... why is this wavecloud important or how is it useful.
When the wavecloud gets narrow - this generally means that all moving averages are converging. However, moving averages lag real-time price action and therefore lack a predictive speculation. With the waveclound presented in this indicator, when the wavecloud narrows this can suggest/predict a sizeable move is about to happen. In the settings, there is a narrowing % variable which can be adjusted depending on which coin or timeframe someone is working with. If there is a lot of background shading (faster timeframes)- decrease the % narrowing. Conversely, if there is insufficient background lines (with longer timeframes), increase the narrowing %.
There are a few trends which are exceptions to predicting a big move. One is that the price trend continues at a steady pace and hence the wavecloud narrows on a steadily increasing or decreasing price.
Another is that the price is choppy and just goes up and down throwing all moving averages or most indicators into a non useful state. However, adjust the narrowing % for whatever price action is in play at the time and you might find you can neatly pick out a big price change.
So, which way does a big price action move go, up or down, I'll leave this one to you. If one is trying to find the end point of a massive bull run - there might be a wavecloud narrowing at the top, just before the price suddenly drops. If its sometime after a big crash and the price action has already been through a choppy phase, its possibly time for a big rise after one last sharp drop. There are all sorts of price action wavecloud formations however, nothing very predictive in terms of suggesting when a big move might be soon to happen is otherwise available. (Although I did find my other script 'Volume Effectiveness' has some merits.)
Timeframe is an important factor with this algorithm. I think the 4hour timeframe with bitcoin is reasonable. I've not extensively tested with other coins however, faster timeframes always render unpredictable results. Also if the timeframe is too long - its difficult to suggest what is going to happen in the near future.
Neglected Volume by DGTVolume is one piece of information that is often neglected, however, learning to interpret volume brings many advantages and could be of tremendous help when it comes to analyzing the markets. In addition to technicians, fundamental investors also take notice of the numbers of shares traded for a given security.
What is Volume?
The volume represents all the recorded trades for a security that occurs in a given time interval. It is a measurement of the participation, enthusiasm, and interest in a given security. Think of volume as the force that drives the market. Volume substantiates, energizes, and empowers price. When volume increases, it confirms price direction; when volume decreases, it contradicts price direction.
In theory, increases in volume generally precede significant price movements. However, If the price is rising in an uptrend but the volume is reducing or unchanged, it may show that there’s little interest in the security, and the price may reverse.
A high volume usually indicates more interest in the security and the presence of institutional traders. However, a rapidly rising price in an uptrend accompanied by a huge volume may be a sign of exhaustion.
Traders usually look for breaks of support and resistance to enter positions. When security break critical levels without volume, you should consider the breakout suspect and prime for a reversal off the highs/lows
Volume spikes are often the result of news-driven events. Volume spike will often lead to sharp reversals since the moves are unsustainable due to the imbalance of supply and demand
note : there’s no centralized exchange where trades are recorded, so the volume data represents what happens at a particular exchange only
In most charting platforms, the volume indicator is presented as color-coded bars, green if the security closes up and red if the security closed lower, where the height of the bars show the amount of the recorded trades
Within this study, Relative Volume , Volume Weighted Bars and Volume Moving Average are presented, where Relative Volume relates current trading volume to past trading volume over long period, Volume Weighted Bars presents price bars colored based on short period past trading volume average, and Volume Moving Average is average of volume over shot period
Relative Volume is presented as color-coded bars similar to regular Volume indicator but uses four color codes instead two. Notable increases of volume are presented in green and red while average values with back and gray, hence adding ability to emphasis notable increases in the volume. It is kind of a like a radar for how "in-play" a security is. Users are allowed to change the threshold, default value is set to Fibonacci golden ration standard deviation away from its moving average.
Volume Weighted Bars, a study of Kıvanç Özbilgiç, aims to present if price movements are supported by Volume. Volume Weighted Bars are calculated based on shot period volume moving average which will reflect more recent changes in volume. Price actions with high volume will be displayed with darker colors, average volume values will remain as they are and low volume values will be indicated with lighter colors.
Volume Moving Average, Is short period volume moving average, aims to display visually the volume changes. Please not that Relative Volume bars are calculated based on standard deviation of long volume moving average.
What Else?
Apart from the volume itself, your ability to assess what volume is telling you in conjunction with price action can be a key factor in your ability to turn a profit in the market. It makes little sense to analyze the volume alone. To correctly interpret the volume data, it shall be seen in the light of what the price is doing. there are a lot of other indicators that are based on the volume data as well as price action. Analysing those volume indicators has always helped traders and investors to better understand what is happening in the market.
Here are the ones adapted with this study. Some of them used as a source for our aim, some adapted as they are with slight changes to fit visually to this study and please note that the numerical presentation may differ from their regular use
• On Balance Volume
• Divergence Indicator
• Correlation Coefficient
• Chaikin Money Flow
Shortly;
On Balance Volume
The On Balance Volume indicator, is a technical analysis indicator that relates volume flow to changes in a security’s price. It uses a cumulative total of positive and negative trading volume to predict the direction of price. The OBV is a volume-based momentum oscillator, so it is a leading indicator — it changes direction before the price
Granville, creator of OBV, proposed the theory that changes in volume precede price movements in a measurable way. He believed that volume was the main force behind major market moves and thought of OBV’s prediction of price changes as a compressed spring that expands rapidly when released.
It is believed that the OBV shows the interactions between the institutional and retail traders in the market
If the price makes a new high, the OBV should also make a new high. If the OBV makes a lower high when the price makes a higher high, there’s a classical bearish divergence — indicating that only the retail traders are buying. Another type of bearish divergence occurs when the price remains relatively quiet and fails to make a higher high but the OBV soars higher than the previous high — indicating that the institutional traders are accumulating short positions. On the other hand, if the price makes a lower low and the OBV makes a higher low, there is a classical bullish divergence, showing that the institutional traders don’t believe in that move
With this study, Momentum and Acceleration (optional) of OBV is calculated and presented, where momentum is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security. It is also referred to as a technical analysis indicator and oscillator that is able to determine market trends.
Additionally, smoothing functionality with Least Squares Method is added
Divergences especially, should always be noted as a possible reversal in the current trend, so the divergence indicator is adapted with this study where the Momentum of OBV is assumed as Oscillator with similar usages as to RSI. Divergence is most often used to track and analyze the momentum in an asset’s price and the odds of a price reversal within the current trend. The divergence indicator warns traders and technical analysts of changes in a price/volume trend, oftentimes that it is weakening or changing direction.
Correlation Coefficient
The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation. A correlation of 0.0 shows no linear relationship between the movement of the two variables. In other words, the closer the Correlation Coefficient is to 1.0, indicates the instruments will move up and down together as it is mostly expected with volume and price. So the Correlation Coefficient Indicator aims to display when the price and volume (on balance volume) is in correlation and when not. With this study blue represent positive correlation while orange negative correlation. The strength of the correlation is determined by the width of the bands, to emphasis the effect horizontal lines are drawn with values set to 0.5 and -0.5. the values above 0.5 (or below -0.5) shows stronger correlation.
Chaikin Money Flow , provide optionally as a companion indicator
The Chaikin money flow indicator (CMF) is a volume indicator that measures the money flow volume over a chosen period. The money flow volume is a measure of the volume and where the price closed relative to the trading session’s range. It comes from the idea that buying pressure is indicated by a rising volume and recurrent closes in the upper part of the session’s price range while selling pressure is demonstrated by an increasing volume and repeated closes in the lower part of the price range.
Both buying and selling pressures are accompanied by an increase in volume, but the location of the closing prices are in accordance with the direction of price
Special thanks to @InvestCHK and @hjsjshs , who have enormously contributed while preparing this study
related studies:
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Signal StreamSIGNAL STREAM
Want a TL;DR?
Signal Stream gives you actionable trading signals. It’s as simple as that.
LONG ANSWER
Signal Stream is the culmination of years and years of research, testing, and analysis of The Big Three data points of market information.
• Major Data Point One – PRICE. The one everyone cares about most.
• Major Data Point Two – TIME. We’re all bound by it. We can’t escape it.
• Major Data Point Three – VOLUME. With this third point, the market takes on an entirely new dynamic.
Signal Stream takes these points into account, runs them all through tested (ridiculously so) algorithms based of our knowledge and experience trading.
The result? Clean, actionable signals you can trade.
Primarily used on and around the 1 hour time frame. That’s the power of TradingView! So many custom time frames to look at!
Blue arrow pointing up? Go long!
Red arrow pointing down? Go short!
SIMPLY PRESENTED – COMPLEXITY HIDING UNDER THE HOOD
To be perfectly clear, this isn’t some script that does a couple MA crossovers and checks RSI against the Elliot Wave Fib Zig Zag on a Bollinger Band.
Signal Stream is 2000+ lines of tested, rigorous logic built in Pine for TradingView.
It’s based on a method of price action and volume analysis that has been proven profitable over and over for the past 10 years.
What method exactly? Weeeeell…. That’s our secret sauce. :)
But it’s a secret sauce developed over the past ten years by traders with a combined 25+ years in trading and trading system development.
We’ve refined our analysis of PRICE and TIME and VOLUME.
It’s a little bit like if pattern analysis and VSA had a kid and then taught that kid a lot of other really important market confluence ideas.
Okay, maybe that analogy got away from me….
Signal Stream is hours and and days and weeks and months and years spent in front of charts, writing code, staring at spreadsheets, testing, refining, and trading.
All distilled into a simple, power signal system.
SIGNAL STREAM GUARANTEE - NOT GONNA GIVE YOU THE RUN AROUND
Look, I can’t guarantee you will make money. That’s not only illegal, it’s also a ridiculous promise and absolutely a red flag. Anyone guaranteeing that you will make money is probably selling you snake oil and you should steer clear of them.
What I can guarantee is that there is no other indicator on TradingView right now that looks as deeply into PRICE, TIME, and VOLUME as Signal Stream does.
I guarantee you that Signal Stream provides clear, actionable signals based on 25+ years of experience and 10+ years of hardcore testing and live trading.
PM US TO GET PAYMENT INSTRUCTIONS AND ACCESS.
Contrarian Period High & LowContrarian Period High & Low
This indicator pairs nicely with the Contrarian 100 MA and can be located here:
Overview
The "Contrarian Period High & Low" indicator is a powerful technical analysis tool designed for traders seeking to identify key support and resistance levels and capitalize on contrarian trading opportunities. By tracking the highest highs and lowest lows over user-defined periods (Daily, Weekly, or Monthly), this indicator plots historical levels and generates buy and sell signals when price breaks these levels in a contrarian manner. A unique blue dot counter and action table enhance decision-making, making it ideal for swing traders, trend followers, and those trading forex, stocks, or cryptocurrencies. Optimized for daily charts, it can be adapted to other timeframes with proper testing.
How It Works
The indicator identifies the highest high and lowest low within a specified period (e.g., daily, weekly, or monthly) and draws horizontal lines for the previous period’s extremes on the chart. These levels act as dynamic support and resistance zones. Contrarian signals are generated when the price crosses below the previous period’s low (buy signal) or above the previous period’s high (sell signal), indicating potential reversals. A blue dot counter tracks consecutive buy signals, and a table displays the count and recommended action, helping traders decide whether to hold or flip positions.
Key Components
Period High/Low Levels: Tracks the highest high and lowest low for each period, plotting red lines for highs and green lines for lows from the bar where they occurred, extending for a user-defined length (default: 200 bars).
Contrarian Signals: Generates buy signals (blue circles) when price crosses below the previous period’s low and sell signals (white circles) when price crosses above the previous period’s high, designed to capture potential reversals.
Blue Dot Tracker: Counts consecutive buy signals (“blue dots”). If three or more occur, it suggests a stronger trend, with the table recommending whether to “Hold Investment” or “Flip Investment.”
Action Table: A 2x2 table in the bottom-right corner displays the blue dot count and action (“Hold Investment” if count ≥ 4, else “Flip Investment”) for quick reference.
Mathematical Concepts
Period Detection: Uses an approximate bar count to define periods (1 bar for Daily, 5 bars for Weekly, 20 bars for Monthly on a daily chart). When a new period starts, the previous period’s high/low is finalized and plotted.
High/Low Tracking:
Highest high (periodHigh) and lowest low (periodLow) are updated within the period.
Lines are drawn at these levels when the period ends, starting from the bar where the extreme occurred (periodHighBar, periodLowBar).
Signal Logic:
Buy signal: ta.crossunder(close , prevPeriodLow) and not lowBroken and barstate.isconfirmed
Sell signal: ta.crossover(close , prevPeriodHigh) and not highBroken and barstate.isconfirmed
Flags (highBroken, lowBroken) prevent multiple signals for the same level within a period.
Blue Dot Counter: Increments on each buy signal, resets on a sell signal or if price exceeds the entry price after three or more buy signals.
Entry and Exit Rules
Buy Signal (Blue Circle): Triggered when the price crosses below the previous period’s low, suggesting a potential oversold condition and buying opportunity. The signal appears as a blue circle below the price bar.
Sell Signal (White Circle): Triggered when the price crosses above the previous period’s high, indicating a potential overbought condition and selling opportunity. The signal appears as a white circle above the price bar.
Blue Dot Tracker:
Increments blueDotCount on each buy signal and sets an entryPrice on the first buy.
Resets on a sell signal or if price exceeds entryPrice after three or more buy signals.
If blueDotCount >= 3, the table suggests holding; if >= 4, it reinforces “Hold Investment.”
Exit Rules: Exit a buy position on a sell signal or when price exceeds the entry price after three or more buy signals. Combine with other tools (e.g., trendlines, support/resistance) for additional confirmation. Always apply proper risk management.
Recommended Usage
The "Contrarian Period High & Low" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to the period bar count. It excels in markets with clear support/resistance levels and potential reversal zones. Traders should:
Backtest the indicator on their chosen asset and timeframe to validate signal reliability.
Combine with other technical tools (e.g., moving averages, Fibonacci levels) for stronger trade confirmation.
Adjust barsPerPeriod (e.g., ~120 bars for Weekly on hourly charts) based on the chart timeframe and market volatility.
Monitor the action table to guide position management based on blue dot counts.
Customization Options
Period Type: Choose between Daily, Weekly, or Monthly periods (default: Monthly).
Line Length: Set the length of high/low lines in bars (default: 200).
Show Highs/Lows: Toggle visibility of period high (red) and low (green) lines.
Max Lines to Keep: Limit the number of historical lines displayed (default: 10).
Hide Signals: Toggle buy/sell signal visibility for a cleaner chart.
Table Display: A fixed table in the bottom-right corner shows the blue dot count and action, with yellow (Hold) or green (Flip) backgrounds based on the count.
Why Use This Indicator?
The "Contrarian Period High & Low" indicator offers a unique blend of support/resistance visualization and contrarian signal generation, making it a versatile tool for identifying potential reversals. Its clear visual cues (lines and signals), blue dot tracker, and actionable table provide traders with an intuitive way to monitor market structure and manage trades. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to spot key levels and time entries/exits effectively.
Tips for Users
Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust barsPerPeriod for non-daily charts).
Use in conjunction with price action or other indicators for stronger trade setups.
Monitor the action table to decide whether to hold or flip positions based on blue dot counts.
Ensure your chart timeframe aligns with the selected period type (e.g., daily chart for Monthly periods).
Apply strict risk management to protect against false breakouts.
Happy trading with the Contrarian Period High & Low indicator! Share your feedback and strategies in the TradingView community!
Fundur - Trend LinesFundur - Trend Lines: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Trend Lines is an advanced multi-layered trend analysis system that combines adaptive trend line technology, momentum analysis, and intelligent signal generation into one comprehensive trading tool. This indicator goes beyond traditional moving averages by utilizing volatility-adjusted trend lines that dynamically adapt to market conditions, providing traders with precise trend strength measurements and actionable trading signals.
What Makes Trend Lines Unique?
The Trend Lines indicator introduces Adaptive Trend Line Technology - a sophisticated methodology that uses Average True Range (ATR) calculations to create trend lines that respond intelligently to market volatility. Unlike static indicators, Trend Lines provides dynamic analysis that adapts its sensitivity based on current market conditions, offering more accurate trend identification and strength assessment.
Core Methodology
The indicator operates on the principle that trend strength can be quantified by analyzing the relationship between multiple adaptive trend lines, momentum indicators, and market structure. By combining Alignment Analysis , Distance Measurements , Momentum Confirmation , and Volatility Expansion Potential , the system generates a comprehensive trend strength score from 0-100% with corresponding trading signals.
Key Features
🎯 Adaptive Trend Line System Slow Trend Line : Primary trend direction with lower sensitivity for major trend identification Fast Trend Line : Higher sensitivity trend line for early trend change detection Volatility Adaptation : Both lines automatically adjust to market volatility using ATR calculations Cloud Visualization : Colored areas between trend lines show trend strength and direction
📊 Comprehensive Trend Strength Analysis Quantified Strength (0-100%) : Precise trend strength measurement combining multiple factors Alignment Score : Measures agreement between multiple trend line systems Distance Analysis : Evaluates price proximity to trend lines using ATR normalization Momentum Integration : Incorporates Awesome Oscillator for momentum confirmation Squeeze Factor : Identifies volatility expansion potential for breakout opportunities
🧠 Intelligent Signal Generation Position Signals : Clear ADD LONG, ADD SHORT, REDUCE, HOLD recommendations Risk Zone Classification : STRONG, MEDIUM, WEAK trend categorization Trend Direction : Bullish, Bearish, or Neutral trend identification Dynamic Updates : Real-time signal adjustments based on changing conditions
⚡ Enhanced Momentum Analysis Smoothed Momentum : Configurable momentum smoothing to reduce noise Acceleration Detection : Identifies momentum acceleration and deceleration Divergence Alerts : Detects price-momentum divergences for reversal warnings Directional Bias : Momentum confirmation for trend direction validation
🔍 Advanced Market Structure Detection Momentum Squeeze : Identifies low-volatility periods preceding major moves Volatility Expansion : Detects when markets break out of consolidation phases Trend Weakness Detection : Early warning system for deteriorating trends Structure Transition : Identifies when trends change character or direction
🎨 Professional Visual Interface Comprehensive Analysis Table : All key metrics displayed in organized format Visual Strength Bar : Graphical representation of trend strength Color-Coded Components : Intuitive color scheme for quick analysis Customizable Display : Flexible positioning and sizing options
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart Click the "Indicators" button or press "/" key Search for "Fundur - Trend Lines" Add the indicator to your chart
Step 2: Basic Configuration
Main Features Settings ✅ Show Trend Analysis Table : ON (Essential for comprehensive analysis) ✅ Enable Trend Strength Analysis : ON (Core functionality) ✅ Generate Trading Signals : ON (For position management guidance)
Trend Lines Display ✅ Show Slow Trend Line : ON (Primary trend identification) ✅ Show Fast Trend Line : ON (Early signal detection) Trend Cloud Transparency : 89% (Default recommended, adjust for visibility)
Table Positioning Table Position : Top Right (recommended for most setups) Table Size : Normal (adjust based on screen size)
Step 3: Advanced Analysis Configuration
Enhanced Features (Optional) ✅ Enhanced Momentum Analysis : ON (for more accurate signals) ✅ Divergence Detection : ON (for reversal warnings) ⚠️ Momentum Squeeze Analysis : OFF initially (can add visual complexity)
Sensitivity Settings Divergence Sensitivity : 5 (Default - lower = more sensitive) Momentum Smoothing : 3 (Default - higher = smoother signals)
Step 4: Alert Configuration
Essential Alerts (Recommended) Trading Signal Alerts : Enable for position changes Trend Strength Change Alerts : Enable for trend monitoring Strength Change Threshold : 15% (Default recommended)
Advanced Alerts (Optional) Divergence Alerts : Enable for reversal warnings Early Weakness Alerts : Enable for risk management Momentum Squeeze Alerts : Enable for breakout opportunities Trend Line Cross Alerts : Enable for level-based signals
Basic Trading Guide
Understanding Trend Strength
The indicator's foundation is the Trend Strength Score - a quantified measurement (0-100%) that combines four key factors:
Strong Trends (75%+ Strength) 🟢 Characteristics : High alignment, close price-to-trend proximity, strong momentum Signals : ADD LONG (bullish) or ADD SHORT (bearish) Strategy : Aggressive position building, trend continuation trades Risk : Lower risk due to strong trend confirmation
Medium Trends (35-75% Strength) 🟡 Characteristics : Mixed signals, moderate alignment, transitional phases Signals : HOLD current positions Strategy : Conservative approach, wait for clearer signals Risk : Medium risk, requires careful monitoring
Weak Trends (Below 35% Strength) 🔴 Characteristics : Poor alignment, distant from trend lines, weak momentum Signals : REDUCE positions or CLOSE Strategy : Risk reduction, position unwinding Risk : High risk, trend likely changing or failing
Entry Strategies
Primary Strategy: Trend Continuation Entries Setup : Strong trend strength (75%+) with clear directional bias Entry Trigger : ADD LONG or ADD SHORT signal confirmation Direction : Follow the trend direction (Bullish ⬆ or Bearish ⬇) Timing : Enter on signal generation or price pullback to trend lines
Stop Loss Placement Conservative Method : Beyond the opposite trend line Aggressive Method : Below/above recent swing points For Long Positions : Below the Slow Trend Line For Short Positions : Above the Slow Trend Line Dynamic Adjustment : Move stops with trend line progression
Profit Taking Strategy
For Long Positions (Bullish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
For Short Positions (Bearish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
Alternative Strategy: Divergence-Based Reversal Entries Setup : Bullish or bearish divergence detected with weakening trend strength Entry : On trend direction change confirmation Risk Management : Tight stops due to counter-trend nature Targets : Opposite trend line or previous swing levels
Risk Management Framework
Position Sizing Based on Trend Strength Strong Trends (75%+) : Full position size (within risk tolerance) Medium Trends (35-75%) : Reduced position size (50-75% of normal) Weak Trends (Below 35%) : Minimal or no new positions Transitional Periods : Smallest position sizes due to uncertainty
Dynamic Risk Adjustment Increasing Strength : Can add to positions gradually Decreasing Strength : Begin profit-taking and position reduction Rapid Strength Loss : Quick position reduction or exit Divergence Warning : Tighten stops and prepare for reversal
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Settings Optimization: Momentum Smoothing: 2 (more responsive) Divergence Sensitivity: 3 (higher sensitivity) Enhanced Momentum Analysis: ON All alerts: ON for rapid signal updates
Visual Settings: Table Size: Small (less screen space) Table Position: Top Right Trend Cloud Transparency: 85% (subtle background)
Trading Approach: Focus on quick ADD signals in strong trends Use Fast Trend Line for entry timing Quick profit-taking at first sign of strength decline Very tight risk management due to lower timeframe noise
Setup 2: Day Trading Configuration (5-15 minute charts)
Settings Optimization: All default settings work well Enable Momentum Squeeze Analysis for breakout identification Divergence Detection: ON for reversal warnings Trend Strength Change Threshold: 12% (more sensitive)
Visual Settings: Table Size: Normal Show all trend analysis components Trend Cloud Transparency: 89% (default)
Trading Approach: Wait for clear trend strength above 65% before entering Use momentum squeeze breakouts for early entries Hold positions through medium strength phases Exit on REDUCE signals or strength below 40%
Setup 3: Swing Trading Configuration (1-4 hour charts)
Settings Optimization: Momentum Smoothing: 4 (smoother for higher timeframe) Divergence Sensitivity: 7 (less sensitive, higher quality signals) Enhanced Momentum Analysis: ON Early Weakness Alerts: ON (important for swing trades)
Visual Settings: Table Size: Normal or Large Focus on trend strength and direction components Enable all visual features for comprehensive analysis
Trading Approach: Require trend strength above 70% for new positions Hold through temporary strength dips if above 50% Use divergence signals for early exit warnings Focus on major trend changes for position adjustments
Setup 4: Position Trading Configuration (4H-Daily charts)
Settings Optimization: Momentum Smoothing: 5 (maximum smoothing) Divergence Sensitivity: 10 (only high-quality divergences) Strength Change Threshold: 20% (major changes only) Focus on trend direction and strength alerts
Visual Settings: Table Size: Large (detailed analysis) Clean visual setup focusing on major components Minimal clutter for long-term perspective
Trading Approach: Only enter on very strong trends (80%+ strength) Hold through significant strength fluctuations Focus on major trend direction changes Use weekly/monthly trend alignment for confirmation
Setup 5: Multi-Asset Analysis Configuration
For Forex Pairs: Standard settings work well due to 24-hour markets Pay attention to session-based strength changes Use momentum squeeze for breakout trading Enable all alert types for continuous monitoring
For Cryptocurrency: Reduce momentum smoothing (2-3) due to high volatility Increase divergence sensitivity (3-4) for early warnings Focus on strength changes above 20% threshold Use squeeze analysis for breakout opportunities
For Stock Indices: Standard settings appropriate for most indices Enable early weakness alerts for risk management Consider market hours for signal validity Use higher timeframes for better signal quality
Visual Components
Trend Analysis Table Trend Strength : Percentage with visual strength bar Trend Signal : Current position recommendation Risk Zone : STRONG/MEDIUM/WEAK classification Alignment : Trend line agreement analysis Distance : Price proximity to trend lines Momentum : Current momentum direction and strength
Trend Lines and Clouds Colored Clouds : Green for bullish trends, red for bearish trends Cloud Intensity : Opacity reflects trend strength Dynamic Colors : Automatically adjust based on trend direction
Momentum Squeeze Visualization Yellow Highlights : Above and below price during squeeze periods Squeeze Indication : Identifies low-volatility consolidation Breakout Preparation : Visual cue for potential explosive moves
Alert System
Trading Signal Alerts ADD LONG : Strong bullish trend confirmed ADD SHORT : Strong bearish trend confirmed REDUCE : Trend weakness detected, position reduction recommended HOLD : Maintain current positions, no change needed
Trend Analysis Alerts Strength Increase : Trend gaining momentum Strength Decrease : Trend losing momentum Early Weakness : Warning of potential trend deterioration Trend Direction Change : Major trend shift detected
Technical Alerts Bullish Divergence : Price falling but momentum rising Bearish Divergence : Price rising but momentum falling Momentum Squeeze Start : Volatility contraction beginning Momentum Squeeze End : Breakout from low volatility period Trend Line Cross : Price crossing above/below trend lines
Setting Up Alerts Enable desired alert types in indicator settings Create TradingView alerts using "Fundur - Trend Lines" as source Configure notification methods (email, SMS, app notifications) Test alerts with paper trading before live implementation Adjust alert frequency settings to avoid spam
Best Practices
Trend Strength Interpretation Above 75% : High confidence trades, full position sizes 50-75% : Moderate confidence, reduced positions Below 50% : Low confidence, minimal or no positions Rapid Changes : Pay attention to sudden strength shifts
Signal Management Don't Chase : Wait for clear signals rather than predicting Confirm with Price Action : Use chart patterns for additional confirmation Respect Risk Zones : Adjust position sizes based on trend classification Monitor Alignment : Strong alignment increases signal reliability
Multi-Timeframe Integration Higher Timeframe Bias : Use daily/weekly for overall trend direction Lower Timeframe Entries : Use hourly/15min for precise entry timing Confirmation Requirement : Ensure alignment between timeframes Conflict Resolution : Higher timeframe takes precedence
Common Mistakes to Avoid
Signal Misinterpretation Ignoring Trend Strength : Don't trade weak signals (below 60%) Fighting the Trend : Don't go against strong trend directions Overreliance on Single Component : Consider all analysis factors Impatience : Wait for clear STRONG trend classification
Risk Management Errors Fixed Position Sizes : Adjust sizes based on trend strength Ignoring REDUCE Signals : Take profits when indicator suggests No Stop Losses : Always use stops beyond trend lines Overleveraging Weak Signals : Use smaller positions in MEDIUM zones
Technical Analysis Errors Ignoring Divergences : Pay attention to momentum warnings Missing Squeeze Opportunities : Watch for breakout setups Poor Timeframe Selection : Match timeframe to trading style Alert Fatigue : Don't enable too many alerts simultaneously
Advanced Techniques
Divergence Trading Early Reversal Detection : Use divergences to anticipate trend changes Confirmation Required : Wait for trend strength decline confirmation Tight Risk Management : Use smaller positions for counter-trend trades Quick Exits : Take profits rapidly on divergence trades
Momentum Squeeze Strategies Breakout Preparation : Position before squeeze resolution Direction Bias : Use trend direction for breakout direction Volume Confirmation : Combine with volume analysis when possible False Breakout Protection : Use tight stops for failed breakouts
Multi-Component Analysis Alignment Priority : Perfect alignment (100%) provides highest confidence Distance Consideration : Closer to trend lines = higher probability Momentum Confirmation : Rising momentum supports trend direction Squeeze Integration : High squeeze factor increases breakout potential
Dynamic Position Management Scaling In : Add to positions as trend strength increases Scaling Out : Reduce positions as trend strength decreases Stop Trailing : Move stops with Fast Trend Line progression Profit Optimization : Use strength peaks for profit-taking timing
Conclusion
The Fundur - Trend Lines indicator represents a sophisticated approach to trend analysis, combining adaptive trend line technology with comprehensive strength measurement and intelligent signal generation. By quantifying trend strength through multiple analytical components, this indicator provides traders with objective, data-driven insights for making informed trading decisions.
The indicator's strength lies in its ability to adapt to changing market conditions while providing clear, actionable signals. The comprehensive trend strength analysis removes guesswork from trend trading, allowing traders to size positions appropriately and manage risk effectively based on quantified market conditions.
Success with the Trend Lines indicator comes from understanding that trend strength is dynamic and requires continuous monitoring. The 0-100% strength scale provides an objective framework for position management, while the multi-component analysis ensures robust signal generation across different market conditions.
Remember that this indicator works best when combined with proper risk management, position sizing, and market context awareness. Start with conservative settings and smaller position sizes while learning the indicator's behavior in different market environments. The comprehensive alert system helps maintain awareness of changing conditions, but successful trading still requires discipline and adherence to your trading plan.
For optimal results, practice with the indicator across different timeframes and market conditions, always prioritizing risk management over profit potential, and maintaining realistic expectations about market behavior and indicator performance.
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal.
Purpose of the Indicator
MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior.
Why a Trader Should Use It
Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky.
Why These Components Were Chosen
Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise.
Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1.
Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale.
Market Mode (Regime) : Based on those ranks, MERV classifies the market:
Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity.
Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market.
Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy.
The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral.
Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions.
What Makes MERV Stand Out
Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique.
Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers.
Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds.
Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals.
Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other.
Recommended Timeframes
MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice:
Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends.
Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles.
Scalpers might find MERV too “slow” unless input lengths are set very low.
In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas.
How the Scoring/Logic Works (Step-by-Step)
Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy.
Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are.
Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on .
Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line.
Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action.
Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value.
Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only.
Oscillator Plot – How to Read It
The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element:
Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed.
Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength.
Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close.
Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero.
Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable.
Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime.
Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star).
Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance.
Dashboard (Fixed Corner Panel)
MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows:
Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high).
Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line.
Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle.
Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly.
Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color.
Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low.
Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe.
In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state.
Real-Life Example
Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case.
Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve.
Example: How It Looks in Action
Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m)
What it means:
The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume.
Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h)
What it means:
This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success.
Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m)
What it means:
The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping.
Settings and Inputs
The script is fully open-source; here are key inputs the user can adjust:
Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity.
Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect.
Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action.
Show Heatmap : Toggles the entropy background coloring on/off.
Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red).
Show Mode Bar : Turn the bottom mode bar on/off.
Show Dashboard : Turn the fixed table panel on/off.
Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired.
Oscillator Interpretation (Recap)
Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile).
Fill : Orange tinted area between them (for visual emphasis).
Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom).
Star Line : White star = ideal conditions, Gold = good but not ideal.
Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric.
Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly.
Disclaimer
This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly.
-BullByte
