Volume Strength IndicatorThis Indicator is built to give you an edge into the market. Given volume, volatility and price-action, it compares market conditions against the maximum that have occurred so far in the session. Useful for intraday and day trading for timing entries with the smart money.
The green/red histogram gives us a view into the relative strength of the current bar, whether they have strong buying or selling power.
The orange signal line gives us a view of the recent trend, which can be modified using the various inputs.
在腳本中搜尋"entry"
Daily Manipulation and Distribution Levels with Buy/Sell SignalsIndicator Summary:
This indicator is designed for intraday traders, highlighting key price levels and providing simple buy/sell signals based on price manipulation and distribution concepts.
Key Features:
Core Levels:
Manipulation Plus/Minus: Derived from the daily open and a portion of the daily range (e.g., 25%).
Distribution Levels: Daily high and low serve as ultimate targets or resistance/support levels.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the Manipulation Plus level. A green "BUY" label marks the entry.
Sell Signal: Triggered when the price crosses below the Manipulation Minus level. A red "SELL" label marks the entry.
Clean Chart Design:
Hides unnecessary clutter, showing only relevant key levels and labeled signals for clarity.
How to Use:
Entry Points:
Buy Entry: When a green "BUY" label appears after the price breaks above the Manipulation Plus level.
Sell Entry: When a red "SELL" label appears after the price breaks below the Manipulation Minus level.
Exit Strategy:
Take Profit: Use the Distribution Levels (daily high/low) as take-profit zones.
Stop Loss: Set just above/below the Manipulation Levels to manage risk effectively.
One to Two Trades per Session: Focus on high-probability moves to ensure clarity and reduce overtrading.
Who It’s For:
This indicator is ideal for traders seeking a structured and visual approach to intraday trading, with clear entry/exit criteria based on price manipulation and distribution theory. It simplifies decision-making and ensures clean chart setups without overwhelming visuals.
TradingIQ - Nova IQIntroducing "Nova IQ" by TradingIQ
Nova IQ is an exclusive Trading IQ algorithm designed for extended price move scalping. It spots overextended micro price moves and bets against them. In this way, Nova IQ functions similarly to a reversion strategy.
Nova IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Nova IQ
Nova IQ integrates AI with the concept of central-value reversion scalping. On lower timeframes, prices may overextend for small periods of time - which Nova IQ looks to bet against. In this sense, Nova IQ scalps against small, extended price moves on lower timeframes.
Nova IQ is designed to work straight out of the box. In fact, its simplicity requires just one user setting, making it incredibly straightforward to manage.
Use HTF (used to apply a higher timeframe trade filter) is the only setting that controls how Nova IQ works.
Traders don’t have to spend hours adjusting settings and trying to find what works best - Nova IQ handles this on its own.
Key Features of Nova IQ
Self-Learning Market Scalping
Employs AI and IQ Technology to scalp micro price overextensions.
AI-Generated Trading Signals
Provides scalping signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Higher Timeframe Filter
Allows users to implement a higher timeframe trading filter.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
Nova Oscillator (NOSC)
The Nova IQ Oscillator (NOSC) is an exclusive self-learning oscillator developed by Trading IQ. Using IQ Technology, the NOSC functions as an all-in-one oscillator for evaluating price overextensions.
Nova Bands (NBANDS)
The Nova Bands (NBANDS) are based on a proprietary calculation and serve as a custom two-layer smoothing filter that uses exponential decay. These bands adaptively smooth prices to identify potential trend retracement opportunities.
How It Works
Nova IQ operates on a simple heuristic: scalp long during micro downside overextensions and short during micro upside overextensions.
What constitutes an "overextension" is defined by IQ Technology, TradingIQ's proprietary AI algorithm. For Nova IQ, this algorithm evaluates the typical extent of micro overextensions before a reversal occurs. By learning from these patterns, Nova IQ adapts to identify and trade future overextensions in a consistent manner.
In essence, Nova IQ learns from price movements within scalping timeframes to pinpoint price areas for capitalizing on the reversal of an overextension.
As a trading system, Nova IQ enters all positions using market orders at the bar’s close. Each trade is exited with a profit-taking limit order and a stop-loss order. Thanks to its self-learning capability, Nova IQ determines the most suitable profit target and stop-loss levels, eliminating the need for the user to adjust any settings.
What classifies as a tradable overextension?
For Nova IQ, tradable overextensions are not manually set but are learned by the system. Nova IQ utilizes NOSC to identify and classify micro overextensions. By analyzing multiple variations of NOSC, along with its consistency in signaling overextensions and its tendency to remain in extreme zones, Nova IQ dynamically adjusts NOSC to determine what constitutes overextension territory for the indicator.
When NOSC reaches the downside overextension zone, long trades become eligible for entry. Conversely, when NOSC reaches the upside overextension zone, short trades become eligible for entry.
The image above illustrates NOSC and explains the corresponding overextension zones
The blue lower line represents the Downside Overextension Zone.
The red upper line represents the Upside Overextension Zone.
Any area between the two deviation points is not considered a tradable price overextension.
When either of the overextension zones are breached, Nova IQ will get to work at determining a trade opportunity.
The image above shows a long position being entered after the Downside Overextension Zone was reached.
The blue line on the price scale shows the AI-calculated profit target for the scalp position. The redline shows the AI-calculated stop loss for the scalp position.
Blue arrows indicate that the strategy entered a long position at the highlighted price level.
Yellow arrows indicate a position was closed.
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
The image above depicts a short position being entered after the Upside Overextension Zone was breached.
The blue line on the price scale shows the AI-calculated profit target for the scalp position. The redline shows the AI-calculated stop loss for the scalp position.
Red arrows indicate that the strategy entered a short position at the highlighted price level.
Yellow arrows indicate that NOVA IQ exited a position.
Long Entry: Blue Arrow
Short Entry: Red Arrow
Closed Trade: Yellow Arrow
Nova Bands
The Nova Bands (NBANDS) are based on a proprietary calculation and serve as a custom two-layer smoothing filter that uses exponential decay and cosine factors.
These bands adaptively smooth the price to identify potential trend retracement opportunities.
The image above illustrates how to interpret NBANDS. While NOSC focuses on identifying micro overextensions, NBANDS is designed to capture larger price overextensions. As a result, the two indicators complement each other well and can be effectively used together to identify a broader range of price overextensions in the market.
While the Nova Bands are not part of the core heuristic and do not use IQ technology, they provide valuable insights for discretionary traders looking to refine their strategies.
Use HTF (Use Higher Timeframe) Setting
Nova IQ has only one setting that controls its functionality.
“Use HTF” controls whether the AI uses a higher timeframe trading filter. This setting can be true or false. If true, the trader must select the higher timeframe to implement.
No Higher TF Filter
Nova IQ operates with standard aggression when the higher timeframe setting is turned off. In this mode, it exclusively learns from the price data of the current chart, allowing it to trade more aggressively without the influence of a higher timeframe filter.
Higher TF Filter
Nova IQ demonstrates reduced aggression when the "Use HTF" (Higher Timeframe) setting is enabled. In this mode, Nova IQ learns from both the current chart's data and the selected higher timeframe data, factoring in the higher timeframe trend when seeking scalping opportunities. As a result, trading opportunities only arise when both the higher timeframe and the chart's timeframe simultaneously display overextensions, making this mode more selective in its entries.
In this mode, Nova IQ calculates NOSC on the higher timeframe, learns from the corresponding price data, and applies the same rules to NOSC as it does for the current chart's timeframe. This ensures that Nova IQ consistently evaluates overextensions across both timeframes, maintaining its trading logic while incorporating higher timeframe insights.
AI Direction
The AI Direction setting controls the trade direction Nova IQ is allowed to take.
“Trade Longs” allows for long trades.
“Trade Shorts” allows for short trades.
Verifying Nova IQ’s Effectiveness
Nova IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in a table located in the top-right corner of your chart showing the long strategy profit factor and the short strategy profit factor.
The image above shows the long strategy profit factor and the short strategy profit factor for Nova IQ.
A profit factor greater than 1 indicates a strategy profitably traded historical price data.
A profit factor less than 1 indicates a strategy unprofitably traded historical price data.
A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data.
Using Nova IQ
While Nova IQ is a full-fledged trading system with entries and exits - it was designed for the manual trader to take its trading signals and analysis indications to greater heights, offering numerous applications beyond its built-in trading system.
The hallmark feature of Nova IQ is its to ignore noise and only generate signals during tradable overextensions.
The best way to identify overextensions with Nova IQ is with NOSC.
NOSC is naturally adept at identifying micro overextensions. While it can be interpreted in a manner similar to traditional oscillators like RSI or Stochastic, NOSC’s underlying calculation and self-learning capabilities make it significantly more advanced and useful than conventional oscillators.
Additionally, manual traders can benefit from using NBANDS. Although NBANDS aren't a core component of Nova IQ's guiding heuristic, they can be valuable for manual trading. Prices rarely extend beyond these bands, and it's uncommon for prices to consistently trade outside of them.
NBANDS do not incorporate IQ Technology; however, when combined with NOSC, traders can identify strong double-confluence opportunities.
Position Size CalculatorThe provided Pine Script is a custom indicator titled "Position Size Calculator" designed to assist traders in calculating the appropriate size of a trading position based on predefined risk parameters. This script is intended to be overlaid on a trading chart, as indicated by `overlay=true`, allowing traders to visualize and adjust their risk and position size directly within the context of their trading strategy.
What It Does:
The core functionality of this script revolves around calculating the position size a trader should take based on three input parameters:
**Risk in USD (`Risk`)**: This represents the amount of money the trader is willing to risk on a single trade.
**Entry Price (`EntryPrice`)**: The price at which the trader plans to enter the market.
**Stop Loss (`StopLoss`)**: The price at which the trader plans to exit the market should the trade move against them, effectively limiting their loss.
The script calculates the position size using a function named `calculatePositionSize`, which performs the following steps:
It first calculates the `expectedLoss` by taking 90% (`0.9`) of the input risk. This implies that the script factors in a safety margin, assuming traders are willing to risk up to 90% of their stated risk amount per trade.
It then calculates the position size based on the distance between the Entry Price and the Stop Loss. This calculation adjusts based on whether the Entry Price is higher or lower than the Stop Loss, ensuring that the position size fits the risk profile regardless of trade direction.
The function returns several values: `risk`, `entryPrice`, `stopLoss`, `expectedLoss`, and `size`, which are then plotted on the chart.
How It Does It:
**Expected Loss Calculation**: By reducing the risk by 10% before calculating position size, the script provides a buffer to account for slippage or to ensure the trader does not fully utilize their risk budget on a single trade.
**Position Size Calculation**: The script calculates position size by dividing the adjusted risk (`expectedLoss`) by the price difference between the Entry Price and Stop Loss. This gives a quantitative measure of how many units of the asset can be bought or sold while staying within the risk parameters.
What Traders Can Use It For:
Traders can use this Position Size Calculator for several purposes:
- **Risk Management**: By determining the appropriate position size, traders can ensure that they do not overexpose themselves to market risk on a single trade.
- **Trade Planning**: Before entering a trade, the script allows traders to visualize their risk, entry, and exit points, helping them to make more informed decisions.
- **Consistency**: Using a standardized method for calculating position size helps traders maintain consistency in their trading approach, a key aspect of successful trading strategies.
- **Efficiency**: Automating the calculation of position size saves time and reduces the likelihood of manual calculation errors.
Overall, this Pine Script indicator is a practical tool for traders looking to implement strict risk management rules within their trading strategies, ensuring that each trade is sized appropriately according to their risk tolerance and market conditions.
Position Size Calculator (EzAlgo)Upon adding the indicator to the chart, you will be prompted to place entry price lines, stop loss price line, and multiple take profit price lines by clicking at the desired price level on the chart.
Section Summaries
Table Settings: Allows users to select position and font size from drop-down menus. Displays current settings and potential profit/loss values.
Price Points: Users can set their Entry and select whether they want to include a DCA entry, Stop Loss price, Liquidation Buffer %, Take Profit levels and the amount of position to close at each level.
Risk Management: Users fill out their Account Size, set their Risk % (or fixed $ amount) for each Entry, set Manual Leverage, or allow the indicator to automatically choose the leverage based on the Stop Loss price distance from Entry and the Risk % per Entry.
User-Input Descriptions
DCA Price: The price at which users initiate their second, equally sized and leveraged position when using a Dollar-Cost Averaging (DCA) strategy. Upon reaching the DCA Price, the Entry Price adjusts to the Avg Price, calculated as the midpoint between initial and DCA entries.
Liquidation Buffer: A pre-set percentage that determines how close to the Stop Loss a position can get before it's liquidated. This assists the Auto Leverage feature in optimizing the leverage amount according to risk tolerance.
Risk per Entry: The proportion of the account, in % or a fixed dollar amount, that users are willing to risk for each trading position. If DCA is checked, this will assume users are entering with half of the total position size per entry.
Automatic Leverage: Auto Leverage automatically determines the optimal leverage level for a trade based on the user's Stop Loss price distance from the Entry point and the user-defined risk percentage per Entry. It also considers a user-defined Liquidation Buffer, which is a preset percentage determining how close to the Stop Loss a position can get before it's liquidated. This tool allows traders to optimize their leverage amount according to their risk tolerance.
Max Leverage: The highest leverage level users are willing to use, even if the exchange permits higher. This limit applies when the Auto Leverage feature is enabled.
Magnetic Zones v1.1 BetaMagnetic Zones v1.1 Beta
This is one of the most powerful and effective indicator which I personally use for Intraday.
It works well for trending stocks and trending days.
What are the Zones?
The zones are basically Retracement and Reversal Zones. The price will take a halt at this zones. So it will be easy to take an entry.
How to use?
Labels:
Pivot = P
Major Zones = R1, R2, R3, S1, S2, S3
Minor Zones = R0.5, R1.5, R2.5, S0.5, S1.5, S2.5
Previous Day High & Low = PDH, PDL
Breakout:
Opens between Previous Day High or Low and R1 or S1 Zone and taking retracement at the zone can result in a breakout.
Entry Time:
No Entry: 0 to 15min. Wait for the early Algo rush to settle down. Just go through the shortlisted stocks or top gainers and top losers.
Risky Entry: 15min to 30min. It is the right or early time to participate in the beginning of a rally. But, recommended only for experienced, disciplined and planned traders.
Moderate Risk: 30min to 45min
Safe Entry: After 45min to 1hr
Stock Selection Tip:
Use Expanded Floor Pivots to spot Narrow Range stocks.
Entry Tip:
Use Opening Range Breakout (15, 30, 45 or 1hr) to spot false shoot ups.
Entry:
After the retracement on or closer to the zones.
If the retracement happens in between spaces of the zones expect next retracement at the next in between space. Imagine the levels accordingly.
Retracement is the right time to make an entry with minimum stoploss.
Stoploss:
Just below the longest candle which touches the zone.
Target:
If it is a trending stock the price will move easily from one major zone to another major zone.
If the zones are wider on a particular day use the minor zones as target.
Consider the historical support and resistance, highs and lows to confirm the entry or exit.
Indicator Features:
Inclusion of 2nd and 3rd zones: Helpful to identify the target zone and to participation in a major rally.
Clean and cluster free look
Shows only required zones
Hide historical levels
Previous day High and Low levels
Multi time-frame
Caution:
Don't solely depend on this indicator. Always use this with other analyzing tools or methods for more confirmation.
Acknowledgement:
Thanking the original formulators.
Note:
The indicator is under testing. Any errors, updates and additions will be updated in the final version.
Even though there many are other indicators similar to this in TradingView, this indicator is customized for precision, inclusion of extended levels and designed for a squeeze free chart and visual appeal.
Explore, improvise and formulate new methods with your personal experience and ideas.
Momentum Volume Divergence (MVD) EnhancedMomentum Volume Divergence (MVD) Enhanced is a powerful indicator that detects price-momentum divergences and momentum suppression for reversal trading. Optimized for XRP on 1D charts, it features dynamic lookbacks, ATR-adjusted thresholds, and SMA confirmation. Signals include strong divergences (triangles) and suppression warnings (crosses). Includes a detailed user guide—try it out and share your feedback!
Setup: Add to XRP 1D chart with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA crossovers. See full guide for details!
Disclaimer: This indicator is for educational purposes only, not financial advice. Trading involves risk—use at your discretion.
Momentum Volume Divergence (MVD) Enhanced Indicator User Guide
Version: Pine Script v6
Designed for: TradingView
Recommended Use: XRP on 1-day (1D) chart
Date: March 18, 2025
Author: Herschel with assistance from Grok 3 (xAI)
Overview
The Momentum Volume Divergence (MVD) Enhanced indicator is a powerful tool for identifying price-momentum divergences and momentum suppression patterns on XRP’s 1-day (1D) chart. Plotted below the price chart, it provides clear visual signals to help traders spot potential reversals and trend shifts.
Purpose
Detect divergences between price and momentum for buy/sell opportunities.
Highlight momentum suppression as warnings of fading trends.
Offer actionable trading signals with intuitive markers.
Indicator Components
Main Plot
Volume-Weighted Momentum (vw_mom): Blue line showing momentum adjusted by volume.
Above 0 = bullish momentum.
Below 0 = bearish momentum.
Zero Line: Gray dashed line at 0, separating bullish/bearish zones.
Key Signals
Strong Bearish Divergence:
Marker: Red triangle at the top.
Meaning: Price makes a higher high, but momentum weakens, confirmed by a drop below the 5-day SMA.
Action: Potential sell/short signal.
Strong Bullish Divergence:
Marker: Green triangle at the bottom.
Meaning: Price makes a lower low, but momentum strengthens, confirmed by a rise above the 5-day SMA.
Action: Potential buy/long signal.
Bearish Suppression:
Marker: Orange cross at the top + red background.
Meaning: Strong bullish momentum with low volume in a volume downtrend, suggesting fading strength.
Action: Warning to avoid longs or exit early.
Bullish Suppression:
Marker: Yellow cross at the bottom + green background.
Meaning: Strong bearish momentum with low volume in a volume uptrend, suggesting fading weakness.
Action: Warning to avoid shorts or exit early.
Debug Plots (Optional)
Volume Ratio: Gray line (volume vs. its MA) vs. yellow line (threshold).
Momentum Threshold: Purple lines (positive/negative momentum cutoffs).
Smoothed Momentum: Orange line (raw momentum).
Confirmation SMA: Purple line (price trend confirmation).
Labels
Text labels (e.g., "Bear Div," "Bull Supp") mark detected patterns.
How to Use the Indicator
Step-by-Step Trading Process
1. Monitor the Chart
Load your XRP 1D chart with the indicator applied.
Observe the blue vw_mom line and signal markers.
2. Spot a Signal
Primary Signals: Look for red triangles (strong_bear) or green triangles (strong_bull).
Warnings: Note orange crosses (suppression_bear) or yellow crosses (suppression_bull).
3. Confirm the Signal
For Strong Bullish Divergence (Buy):
Green triangle appears.
Price closes above the 5-day SMA (purple line) and a recent swing high.
Optional: Volume ratio (gray line) exceeds the threshold (yellow line).
For Strong Bearish Divergence (Sell):
Red triangle appears.
Price closes below the 5-day SMA and a recent swing low.
Optional: Volume ratio (gray line) falls below the threshold (yellow line).
4. Enter the Trade
Long:
Buy at the close of the signal bar.
Stop loss: Below the recent swing low or 2 × ATR(14) below entry.
Short:
Sell/short at the close of the signal bar.
Stop loss: Above the recent swing high or 2 × ATR(14) above entry.
5. Manage the Trade
Take Profit:
Aim for a 2:1 or 3:1 risk-reward ratio (e.g., risk $0.05, target $0.10-$0.15).
Or exit when an opposite suppression signal appears (e.g., orange cross for longs).
Trailing Stop:
Move stop to breakeven after a 1:1 RR move.
Trail using the 5-day SMA or 2 × ATR(14).
Early Exit:
Exit if a suppression signal appears against your position (e.g., suppression_bull while short).
6. Filter Out Noise
Avoid trades if a suppression signal precedes a divergence within 2-3 days.
Optional: Add a 50-day SMA on the price chart:
Longs only if price > 50-SMA.
Shorts only if price < 50-SMA.
Example Trades (XRP 1D)
Bullish Trade
Signal: Green triangle (strong_bull) at $0.55.
Confirmation: Price closes above 5-SMA and $0.57 high.
Entry: Buy at $0.58.
Stop Loss: $0.53 (recent low).
Take Profit: $0.63 (2:1 RR) or exit on suppression_bear.
Outcome: Price hits $0.64, exit at $0.63 for profit.
Bearish Trade
Signal: Red triangle (strong_bear) at $0.70.
Confirmation: Price closes below 5-SMA and $0.68 low.
Entry: Short at $0.67.
Stop Loss: $0.71 (recent high).
Take Profit: $0.62 (2:1 RR) or exit on suppression_bull.
Outcome: Price drops to $0.61, exit at $0.62 for profit.
Tips for Success
Combine with Price Levels:
Use support/resistance zones (e.g., weekly pivots) to confirm entries.
Monitor Volume:
Rising volume (gray line above yellow) strengthens signals.
Adjust Sensitivity:
Too many signals? Increase div_strength_threshold to 0.7.
Too few signals? Decrease to 0.3.
Backtest:
Review 20-30 past signals on XRP 1D to assess performance.
Avoid Choppy Markets:
Skip signals during low volatility (tight price ranges).
Troubleshooting
No Signals:
Lower div_strength_threshold to 0.3 or mom_threshold_base to 0.2.
Check if XRP’s volatility is unusually low.
False Signals:
Increase sma_confirm_length to 7 or add a 50-SMA filter.
Indicator Not Loading:
Ensure the script compiles without errors.
Customization (Optional)
Change Colors: Edit color.* values (e.g., color.red to color.purple).
Add Alerts: Use TradingView’s alert menu for "Strong Bearish Divergence Confirmed," etc.
Test Other Assets: Experiment with BTC or ETH, adjusting inputs as needed.
Disclaimer
This indicator is for educational purposes only and not financial advice. Trading involves risk, and past performance does not guarantee future results. Use at your own discretion.
Setup: Use on XRP 1D with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA cross. Stop: 2x ATR(14). Profit: 2:1 RR or suppression exit. Full guide available separately!
RSI Failure Swing Pattern (with Alerts & Targets)RSI Failure Swing Pattern Indicator – Detailed Description
Overview
The RSI Failure Swing Pattern Indicator is a trend reversal detection tool based on the principles of failure swings in the Relative Strength Index (RSI). This indicator identifies key reversal signals by analyzing RSI swings and confirming trend shifts using predefined overbought and oversold conditions.
Failure swing patterns are one of the strongest RSI-based reversal signals, initially introduced by J. Welles Wilder. This indicator detects these patterns and provides clear buy/sell signals with labeled entry, stop-loss, and profit target levels. The tool is designed to work across all timeframes and assets.
How the Indicator Works
The RSI Failure Swing Pattern consists of two key structures:
1. Bullish Failure Swing (Buy Signal)
Occurs when RSI enters oversold territory (below 30), recovers, forms a higher low above the oversold level, and finally breaks above the intermediate swing high in RSI.
Step 1: RSI dips below 30 (oversold condition).
Step 2: RSI rebounds and forms a local peak.
Step 3: RSI retraces but does not go below the previous low (higher low confirmation).
Step 4: RSI breaks above the previous peak, confirming a bullish trend reversal.
Buy signal is triggered at the breakout above the RSI peak.
2. Bearish Failure Swing (Sell Signal)
Occurs when RSI enters overbought territory (above 70), declines, forms a lower high below the overbought level, and then breaks below the intermediate swing low in RSI.
Step 1: RSI rises above 70 (overbought condition).
Step 2: RSI declines and forms a local trough.
Step 3: RSI bounces but fails to exceed the previous high (lower high confirmation).
Step 4: RSI breaks below the previous trough, confirming a bearish trend reversal.
Sell signal is triggered at the breakdown below the RSI trough.
Features of the Indicator
Custom RSI Settings: Adjustable RSI length (default 14), overbought/oversold levels.
Buy & Sell Signals: Buy/sell signals are plotted directly on the price chart.
Entry, Stop-Loss, and Profit Targets:
Entry: Price at the breakout of the RSI failure swing pattern.
Stop-Loss: Lowest low (for buy) or highest high (for sell) of the previous two bars.
Profit Targets: Two levels calculated based on Risk-Reward ratios (1:1 and 1:2 by default, customizable).
Labeled Price Levels:
Entry Price Line (Blue): Marks the point of trade entry.
Stop-Loss Line (Red): Shows the calculated stop-loss level.
Target 1 Line (Orange): Profit target at 1:1 risk-reward ratio.
Target 2 Line (Green): Profit target at 1:2 risk-reward ratio.
Alerts for Trade Execution:
Buy/Sell signals trigger alerts for real-time notifications.
Alerts fire when price reaches stop-loss or profit targets.
Works on Any Timeframe & Asset: Suitable for stocks, forex, crypto, indices, and commodities.
Why Use This Indicator?
Highly Reliable Reversal Signals: Unlike simple RSI overbought/oversold strategies, failure swings filter out false breakouts and provide strong confirmation of trend reversals.
Risk Management Built-In: Stop-loss and take-profit levels are automatically set based on historical price action and risk-reward considerations.
Easy-to-Use Visualization: Clearly marked entry, stop-loss, and profit target levels make it beginner-friendly while still being valuable for experienced traders.
How to Trade with the Indicator
Buy Trade Example (Bullish Failure Swing)
RSI drops below 30 and recovers.
RSI forms a higher low and then breaks above the previous peak.
Entry: Buy when RSI crosses above its previous peak.
Stop-Loss: Set below the lowest low of the previous two candles.
Profit Targets:
Target 1 (1:1 Risk-Reward Ratio)
Target 2 (1:2 Risk-Reward Ratio)
Sell Trade Example (Bearish Failure Swing)
RSI rises above 70 and then declines.
RSI forms a lower high and then breaks below the previous trough.
Entry: Sell when RSI crosses below its previous trough.
Stop-Loss: Set above the highest high of the previous two candles.
Profit Targets:
Target 1 (1:1 Risk-Reward Ratio)
Target 2 (1:2 Risk-Reward Ratio)
Final Thoughts
The RSI Failure Swing Pattern Indicator is a powerful tool for traders looking to identify high-probability trend reversals. By using the RSI failure swing concept along with built-in risk management tools, this indicator provides a structured approach to trading with clear entry and exit points. Whether you’re a day trader, swing trader, or long-term investor, this indicator helps in capturing momentum shifts while minimizing risk.
Would you like any modifications or additional features? 🚀
Bar Color - Moving Average Convergence Divergence [nsen]The Pine Script you've provided creates a custom indicator that utilizes the MACD (Moving Average Convergence Divergence) and displays various outputs, such as bar color changes based on MACD signals, and a table of data from multiple timeframes. Here's a breakdown of how the script works:
1. Basic Settings (Input)
• The script defines several user-configurable parameters, such as the MACD values, bar colors, the length of the EMA (Exponential Moving Average) periods, and signal smoothing.
• Users can also choose timeframes to analyze the MACD values, like 5 minutes, 15 minutes, 1 hour, 4 hours, and 1 day.
2. MACD Calculation
• It uses the EMA of the close price to calculate the MACD value, with fast_length and slow_length representing the fast and slow periods. The signal_length is used to calculate the Signal Line.
• The MACD value is the difference between the fast and slow EMA, and the Signal Line is the EMA of the MACD.
• The Histogram is the difference between the MACD and the Signal Line.
3. Plotting the Histogram
• The Histogram values are plotted with colors that change based on the value. If the Histogram is positive (rising), it is colored differently than if it's negative (falling). The colors are determined by the user inputs, for example, green for bullish (positive) signals and red for bearish (negative) signals.
4. Bar Coloring
• The bar color changes based on the MACD's bullish or bearish signal. If the MACD is bullish (MACD > Signal), the bar color will change to the color defined for bullish signals, and if it's bearish (MACD < Signal), the bar color will change to the color defined for bearish signals.
5. Multi-Timeframe Data Table
• The script includes a table displaying the MACD trend for different timeframes (e.g., 5m, 15m, 1h, 4h, 1d).
• Each timeframe will show a colored indicator: green (🟩) for bullish and red (🟥) for bearish, with the background color changing based on the trend.
6. Alerts
• The script has alert conditions to notify the user when the MACD shows a bullish or bearish entry:
• Bullish Entry: When the MACD turns bullish (crosses above the Signal Line).
• Bearish Entry: When the MACD turns bearish (crosses below the Signal Line).
• Alerts are triggered with custom messages such as "🟩 MACD Bullish Entry" and "🟥 MACD Bearish Entry."
Key Features:
• Customizable Inputs: Users can adjust the MACD settings, histogram colors, and timeframe options.
• Visual Feedback: The color changes of the histogram and bars provide instant visual cues for bullish or bearish trends.
• Multi-Timeframe Analysis: The table shows the MACD trend across multiple timeframes, helping traders monitor trends in different timeframes.
• Alert Conditions: Alerts notify users when key MACD crossovers occur.
Buy Sell Indicator by Independent ResearcherThis is an Buy and Sell Oscillator. Its show the trend reversal or change in price action of the market. This indicator is a combination of various moving averages. This is like a MACD but a very powerful version.
How To Use It
If green line gives crossover white line towards down then price is expected to fall.
If red line gives crossover white line towards up then price is expected to rise.
For better results of indicator trade after closing of crossover candle.
There is a band +.20 to -.20 for better results trade on crossover happens between that band.
Below you will see an example:-
XAUUSD
EURUSD
Donchian DipThe Donchian Dip
This strategy is designed to look for good "Buy the Dip" entries on stocks that are clearly in a strong 1-year upward trend. If you do not know how to identify those stocks on your own please do not use this system or continue your education until you do. The Donchian Dip strategy was designed on the daily time frame but works amazingly well on both daily and weekly timeframes. It does still work on intraday charts also if the current trend on the daily chart is in a strong uptrend.
Chart Setup:
3-period Donchian Channel with a 1-period offset (hide basis)
Bollinger Bands with the default settings of 20/2 (display basis)
Entry Signals:
There are 3 different entry signals that will be printed on the chart that have similar underlying criteria but are ranked based on skill level just like ski slope skill levels! I recommend only taking green entries until you are familiar with the system and the stocks you are trading.
Green Easy Entry:
This is the safest buy the dip entry that is normally found at or near a large retracement bottom. You might get one or two bad entries but be persistent and eventually, a great entry will present itself!
These are the specifics for the conditions that trigger a Green entry if you want to know what they are:
1. The current bar is an up bar (green or white bar) and closed above the lower Donchian channel
2. Previous bar or 2 bars back closed below the lower Donchian channel
3. Previous bar or 2 bars back closed below the Bollinger Band Basis (20 SMA )
4. The low of the previous bar or 2 bars back was below the lower Bollinger Band
Blue Intermediate Entry:
This is a decent entry if you missed the green entry, want to add to an existing position, or are not sure it will pull back far enough to even give a green entry. I would suggest only trade these entries to add to an existing pyramid position or get back into a trade that you were recently stopped out of. However, on high-flying stocks like TSLA these signals and the Black Diamond entry signals might be the only ones you get for a long time. Also, on the weekly chart, Blue or Black entries are sometimes all you will get for a year or more.
These are the specifics for the conditions that trigger a Blue entry if you want to know what they are:
1. The current bar is an up bar (green or white bar) and closed above the lower Donchian channel
2. Previous bar or 2 bars back closed below the lower Donchian channel
3. Previous bar or 2 bars back closed below the Bollinger Band Basis (20 SMA )
Black Diamond Advanced Rule:
This is normally just a small pullback re-entry signal on a strong trending stock like TSLA ...trade with extreme caution!!! You have been warned but daredevils feel free to give it a shot. I sometimes do trade these entries if the market and sector of the stock I am trading are extremely bullish or if I am looking to add to a position but I use a conservative stop.
These are the specifics for the conditions that trigger a Black entry if you want to know what they are:
1. The current bar is an up bar (green or white bar) and closed above the lower Donchian channel
2. Previous bar or 2 bars back closed below the lower Donchian channel
3. Previous bar or 2 bars back closed above the Bollinger Band Basis (20 SMA )
Exit Criteria:
The goal of this strategy is to buy the dip and hold as long as possible...let's practice some Paytience and exercise those holding muscles! RLT!!!
So, we don't want to exit early but we also want to protect our profits somehow. We do this by using the built-in trailing stops that are defined by dots of three different shades of purple on the chart (feel free to change these in the settings). Simply move your trailing stop to the highest current dot price level. Do not move the trailing stop down ever even if a lower dot is printed later. These are simply the suggested trailing stops and definitely use your own judgment for exits but if you backtest this strategy enough you will most likely discover that in the long run, these trailing stops work really well.
I hope this strategy helps you to identify good "Buy the Dip" entries on stocks you love as well as trains you to hold your winners longer for bigger gains.
***HOW TO ADD TO YOUR CHARTS***
1) Click the "Add to Favorite Scripts" button
2) Go to a stock chart and click the "Indicators" icon at the top
3) Next, on the left, click the "Favorites" and then click the "Naked Put - Growth Indicator v2"
4) It should appear on your charts, and you can click the "gear" icon on the study to edit a few settings.
5) Read the release notes above so you understand how it works.
Xen's Flag Pattern Scalper1. Input Parameters:
FlagLength: Determines the length of the flag pattern.
TakeProfit1Ratio, takeProfit2Ratio, takeProfit3Ratio: Define the ratios for calculating
the take-profit levels relative to the entry price.
RiskRewardRatio: Specifies the risk-reward ratio for calculating the stop-loss level
relative to the entry price.
2 Flag Conditions:
BullishFlag: Checks if the current bar meets the conditions for a bullish flag pattern. It
evaluates to true if the low of the current bar is lower than the low flagLength bars
ago, and the close of the current bar is higher than the high flagLength bars ago.
BearishFlag: Checks if the current bar meets the conditions for a bearish flag pattern. It evaluates to true if the high of the current bar is higher than the high flagLength bars
ago, and the close of the current bar is lower than the low flagLength bars ago.
3. Entry Price:
EntryPrice: Calculates the entry price based on whether a bullish or bearish flag
pattern is identified. For a bullish flag, the entry price is set to the low of the current bar.
For a bearish flag, the entry price is set to the high of the current bar.
4. Stop Loss:
StopLoss: Determines the stop-loss level based on the entry price and the specified
riskRewardRatio . For a bullish flag, the stop-loss level is calculated by subtracting the
difference between the high and low of the current bar multiplied by the riskRewardRatio from the low of the current bar. For a bearish flag, the stop-loss level
is calculated similarly but added to the high of the current bar.
5. Take Profit Levels:
Three take-profit levels ( takeProfit1, takeProfit2, takeProfit3 ) are calculated based on
the entry price, stop-loss level, and specified take-profit ratios ( takeProfit1Ratio,
takeProfit2Ratio, takeProfit3Ratio ).
6. Plotting Signals and Levels:
Bullish and bearish flag patterns are plotted using triangle shapes ( shape.triangleup for
bullish and shape.triangledown for bearish) above or below the bars, respectively.
Entry, stop-loss, and take-profit levels are plotted using horizontal lines ( line.new )
with different colors and styles. Entry and stop-loss levels are labeled with "Entry" and "SL",
respectively, while take-profit levels are labeled with "TP 1", "TP 2", and "TP 3".
The colors for bullish flags are white for entry, red for stop-loss, and green for take-profit levels. For bearish flags, the colors are the same, but the labels are plotted above the bars.
7. Label Placement:
Labels for entry, stop-loss, and take-profit levels are placed a distance of 4 bars to the right
of the entry price using bar_index + 4 .
This indicator is intended to help traders identify flag patterns on price charts and visualize potential entry, stop-loss, and take-profit levels associated with these patterns.
Please use risk management and when TP1 is hit, move stoploss to breakeven .
T3 JMA KAMA VWMAEnhancing Trading Performance with T3 JMA KAMA VWMA Indicator
Introduction
In the dynamic world of trading, staying ahead of market trends and capitalizing on volume-driven opportunities can greatly influence trading performance. To address this, we have developed the T3 JMA KAMA VWMA Indicator, an innovative tool that modifies the traditional Volume Weighted Moving Average (VWMA) formula to increase responsiveness and exploit high-volume market conditions for optimal position entry. This article delves into the idea behind this modification and how it can benefit traders seeking to gain an edge in the market.
The Idea Behind the Modification
The core concept behind modifying the VWMA formula is to leverage more responsive moving averages (MAs) that align with high-volume market activity. Traditional VWMA utilizes the Simple Moving Average (SMA) as the basis for calculating the weighted average. While the SMA is effective in providing a smoothed perspective of price movements, it may lack the desired responsiveness to capitalize on short-term volume-driven opportunities.
To address this limitation, our T3 JMA KAMA VWMA Indicator incorporates three advanced moving averages: T3, JMA, and KAMA. These MAs offer enhanced responsiveness, allowing traders to react swiftly to changing market conditions influenced by volume.
T3 (T3 New and T3 Normal):
The T3 moving average, one of the components of our indicator, applies a proprietary algorithm that provides smoother and more responsive trend signals. By utilizing T3, we ensure that the VWMA calculation aligns with the dynamic nature of high-volume markets, enabling traders to capture price movements accurately.
JMA (Jurik Moving Average):
The JMA component further enhances the indicator's responsiveness by incorporating phase shifting and power adjustment. This adaptive approach ensures that the moving average remains sensitive to changes in volume and price dynamics. As a result, traders can identify turning points and anticipate potential trend reversals, precisely timing their position entries.
KAMA (Kaufman's Adaptive Moving Average):
KAMA is an adaptive moving average designed to dynamically adjust its sensitivity based on market conditions. By incorporating KAMA into our VWMA modification, we ensure that the moving average adapts to varying volume levels and captures the essence of volume-driven price movements. Traders can confidently enter positions during periods of high trading volume, aligning their strategies with market activity.
Benefits and Usage
The modified T3 JMA KAMA VWMA Indicator offers several advantages to traders looking to exploit high-volume market conditions for position entry:
Increased Responsiveness: By incorporating more responsive moving averages, the indicator enables traders to react quickly to changes in volume and capture short-term opportunities more effectively.
Enhanced Entry Timing: The modified VWMA aligns with high-volume periods, allowing traders to enter positions precisely during price movements influenced by significant trading activity.
Improved Accuracy: The combination of T3, JMA, and KAMA within the VWMA formula enhances the accuracy of trend identification, reversals, and overall market analysis.
Comprehensive Market Insights: The T3 JMA KAMA VWMA Indicator provides a holistic view of market conditions by considering both price and volume dynamics. This comprehensive perspective helps traders make informed decisions.
Analysis and Interpretation
The modified VWMA formula with T3, JMA, and KAMA offers traders a valuable tool for analyzing volume-driven market conditions. By incorporating these advanced moving averages into the VWMA calculation, the indicator becomes more responsive to changes in volume, potentially providing deeper insights into price movements.
When analyzing the modified VWMA, it is essential to consider the following points:
Identifying High-Volume Periods:
The modified VWMA is designed to capture price movements during high-volume periods. Traders can use this indicator to identify potential market trends and determine whether significant trading activity is driving price action. By focusing on these periods, traders may gain a better understanding of the market sentiment and adjust their strategies accordingly.
Confirmation of Trend Strength:
The modified VWMA can serve as a confirmation tool for assessing the strength of a trend. When the VWMA line aligns with the overall trend direction, it suggests that the current price movement is supported by volume. This confirmation can provide traders with additional confidence in their analysis and help them make more informed trading decisions.
Potential Entry and Exit Points:
One of the primary purposes of the modified VWMA is to assist traders in identifying potential entry and exit points. By capturing volume-driven price movements, the indicator can highlight areas where market participants are actively participating, indicating potential opportunities for opening or closing positions. Traders can use this information in conjunction with other technical analysis tools to develop comprehensive trading strategies.
Interpretation of Angle and Gradient:
The modified VWMA incorporates an angle calculation and color gradient to further enhance interpretation. The angle of the VWMA line represents the slope of the indicator, providing insights into the momentum of price movements. A steep angle indicates strong momentum, while a shallow angle suggests a slowdown. The color gradient helps visualize this angle, with green indicating bullish momentum and purple indicating bearish momentum.
Conclusion
By modifying the VWMA formula to incorporate the T3, JMA, and KAMA moving averages, the T3 JMA KAMA VWMA Indicator offers traders an innovative tool to exploit high-volume market conditions for optimal position entry. This modification enhances responsiveness, improves timing, and provides comprehensive market insights.
Enjoy checking it out!
---
Credits to:
◾ @cheatcountry – Hann Window Smoothing
◾ @loxx – T3
◾ @everget – JMA
[SCOPO]Scalping BotEnglish, German is found Below
Scalping Indicator (5min Mostly)
- An Indicator that Creates Possible Trades, created on MA's, Volumebased Support and Ressistance and MACD, The Take Profits are created by a Simple Support and Ressitance Indicator (Built In)
- The Indicator sends with the Alert Function Buy and Sell Signals
- These Signals exists from 3 Entrys, 5 Take Profits and 1 Additional Take Profit who should be used after Entry 2/3 has been filled
- If a Signal gets Invalid or an Entry has been filled ,there comes a new Alert
- The Indicator Plots Lines on the Chart for TP/SL and has an Integrated Backtester table
If you got Questions pls Contact me via PM!
Update Rolled out Today (2.9.2022)
- Its now possible to set your own choosen minimal TP, before was 0.3 % and the next Ressistance above would have been taken for longs
- FilterMA can now be choosen from Different MA's via Dropdown menu
- Length of FilterMA can now be set by user
- Those Changes have been done to make it usefull for higher Timeframes too
German
Scalping Indikator
- Kurzbeschreibung: Ein Indikator der mit EMA & Macd und Volumenbasierten Supports/Ressistance Long - & Shorttrades vorschlägt
- Der Indikator sendet mit der Alarm Funktion Kauf und Verkaufsignale
Diese Signale bestehen aus 3 Entrys, 5 Take Profits sowie 1 Additional Take Profit der Aktiv wird nachdem der Entry 2 / 3 gefüllt wurde
Sollte ein Signal Invalidiert werden dann kommt ein erneuter Alarm
Sollte der 1.Entry gefüllt werden dann kommt auch ein Alarm
- Der Indikator gibt visuell auf dem Chart Linien für TP/SL wieder und besitzt auch ein Integriertes Info Fenster für ehemalige Trades.
- Die TP's werden durch eine eingebaute Support/Ressistance Funktion ausgewählt.
Alle verbesserungsvorschläge bitte per PN an @ridicolous
Update vom 2.9.2022
- Es wurde die möglichkeit mindest TP's zu setzen hinzugefügt
- Die FilterEMA kann nun aus einer Auswahl verschiedener MA's ausgewählt werden
- FilterMA längen können nun angepasstwerden
- Diese Aenderungen wurden hinzugefügt um das Skript auch auf höheren Timeframes laufen lassen zu können
Self-Optimizing RSI Strategy [Kioseff Trading]Hello!
Introducing the Self-Optimizing RSI Strategy.
The indicator tests up to 800 RSI strategies simultaneously, looping through arrays, and auto plots the best performing parameter set.
The image above shows the result of 800 RSI strategies concurrently.
The table oriented bottom right shows the performance and risk metrics of the best performing RSI system tested across the bar set. Additionally, the conditions for entry and exit are displayed; for the image - a long entry system predicated on RSI crossunders and exit system predicated on a 1% TP and 2% SL are shown.
The indicator calculates numerous risk and performance metrics.
Calculated metrics include:
RSI Parameters
RSI Cross Entry Level
Total Trades
Win Rate
Avg. Gain for Winning Trades
Max Pain
PnL (Cumulative Performance)
Profit Factor
Avg. Loss for Losing Trades
Ratio Avg. Win / Avg. Loss
Avg. Bars in Trade
Max Drawdown
Current Drawdown
Open Position PnL
"Dynamic" indicates the performance of self-optimizing RSI system was tested.
The image above shows the performance of the greatest-performing RSI system - a fixed set of parameters - when adhering to a 1% TP and 2% fixed SL.
Trailing Stops and Profit-Taking Limit orders can be set/simulated.
The image above shows a dynamic entry level - plotted as a purple, non-transparent line.
The entry level "self-optimizes" to mimic the best performing RSI system at current time.
The image above exemplifies the functionality for all horizontal lines plotted on the chart.
The average RSI level achieved subsequent a profitable trade is shown.
The average RSI level achieved subsequent a losing trade is shown.
The entry level for RSI crossunders/crossovers is shown.
The image above show the Self-Optimizing RSI indicator recording entries & exits; gains & losses, for each executed trade.
You can "verify" trades manually.
Blue boxes reflect an entered position.
Green boxes reflect a closed, profitable trade.
Red boxes reflect a close, losing trade.
The percentage gain for a profitable trade is appended to green boxes; the percentage loss for a losing trade is appended to red boxes.
The Self-Optimizing RSI indicator plots off the chart; however, percentage gains/losses are measured against price, not RSI.
Boxes correlate to the interval a trade was entered/exited on.
The indicator hosts various methods to filter the outcome for testing.
For instance, you can:
Use trailing stops or fixed stop losses
Test RSI crossunders and crossovers
Configure the RSI settings that are tested (i.e. RSI 2 - 9, RSI 14 - 20, RSI 50 - 57)
Test short-based RSI Systems and long-based RSI systems
Simulate limit orders (Exit intrabar at fixed stop losses or trailing stop losses; exit intrabar at profit targets)
Require all tested RSIs to trend above or below their respective average (i.e. all RSIs must trend above/below their 50-interval EMA values. SMAs can also be used)
Use external indicators and require a user-defined value be exceeded, measured below, or that price exceed or measure below an indicator. The Self-Optimizing RSI indicator incorporates a few built-in technical indicators - ADX, %k, MFI, CMFI, and RSI. Consequently, you can require these indicators to measure above/below a specified level prior to entry. Additionally, you can supplement an extrinsic indicator (anything custom coded with plot values) to the entry logic for the Self-Optimizing RSI indicator. I'll show an example shortly.
Adjust the time window that's tested.
Adjust PT and SL percentages.
Override plot an RSI system to procure thorough statistics.
Require a symbol to measure above/Below or equal to a particular price level to “validate” a Long/Short entry signal. You can retrieve any data hosted by TradingView and require it measure above/below a user-defined level prior to entry. For instance, you can select "$VIX", and require the ticker to measure less than $30 prior to long/short entry. If "$VIX" measures greater than $30 prior to a long/short signal the position will not open. Alternatively, you can require a symbol to measure above a user-defined price prior to entry. If the retrieved ticker doesn't measure above the user-defined level prior to entry a trade will not open.
Use trailing stops or fixed stop losses
The image above shows results for 800 short-based RSI systems - using a trailing stop loss.
Test RSI crossunders and crossovers
The image shows results for 800 long-based RSI systems. Positions are entered subsequent to RSI crossovers.
You can select which RSI strategies are tested - you aren't not limited to testing RSI 2 - RSI 9 (:
Simulate limit orders (Exit intrabar at fixed stop losses or trailing stop losses; exit intrabar at profit targets)
The image above shows performance test results when exiting during the interval subsequent to the profit target being exceeded.
The image above shows performance test results when exiting during the interval subsequent to the stop loss being exceeded.
Require all tested RSIs to trend above or below their respective average (i.e. all RSIs must trend above/below their 50-interval EMA values. SMAs can also be used)
The image above shows an RSI EMA in addition to prerequisite condition. For each RSI strategy tested, the RSI used for the strategy must measure above an EMA of its values prior to entry. You can require RSI to measure below an EMA of its values prior to entry, use an SMA, and change the length of the MA used.
Use external indicators and require a user-defined value be exceeded, measured below, or that price exceed or measure below an indicator. The Self-Optimizing RSI indicator incorporates a few built-in technical indicators - ADX, %k, MFI, CMFI, and RSI. Consequently, you can require these indicators to measure above/below a specified level prior to entry. Additionally, you can supplement an extrinsic indicator (anything custom coded with plot values) to the entry logic for the Self-Optimizing RSI indicator. I'll show an example shortly.
The image above shows me requiring the ADX indicator to measure above "20" prior to long entry. Any of the built-indicators can be used with similar conditions; you can implement a custom-coded indicator for trade logic.
Additionally, you can supplement an extrinsic indicator (anything custom coded with plot values) to the entry logic for the Self-Optimizing RSI indicator.
The image above shows me retrieving the value for Volume Profile Point of Control - a TradingView coded indicator.
Consequently, I can require price to measure above/below the session's Poc prior to RSI long/short entry.
You can use this feature with any custom coded indicator providing historical plot values - something you or a favored author have coded.
]Adjust PT and SL percentages
The image above shows adjusted TP & SL percentages - optimize and reward/risk ratio you'd like (:
Override plot an RSI system to procure thorough statistics.
The image above shows manually plotted RSI parameters and a corresponding stat sheet.
Require a symbol to measure above/Below or equal to a particular price level to “validate” a Long/Short entry signal. You can retrieve any data hosted by TradingView and require it measure above/below a user-defined level prior to entry. For instance, you can select "$VIX", and require the ticker to measure less than $30 prior to long/short entry. If "$VIX" measures greater than $30 prior to a long/short signal the position will not open. Alternatively, you can require a symbol to measure above a user-defined price prior to entry. If the retrieved ticker doesn't measure above the user-defined level prior to entry a trade will not open.
The image above shows me requiring the ticker "$VIX" to measure below $30 prior to long/short entry. If %VIS measures greater than $30 when a long/short signal triggers a position will not be opened. Further refine your trading system with this feature - exploit correlations.
Adjust the time window that's tested.
The image above shows configurable start and end dates for the optimization period.
You won't be able to test 800 RSI strategies concomitantly on a 20,000 bar data set.
Consequently, for large data sets (intrasession data) you will have to narrow the optimization window to test a larger number of combinations.
You can test 80 (loads on all data sets), 144 (loads on all data sets), 264 (loads on ~15,000 bar data sets), 312 (loads on ~11,500 bar data sets) and 800 (loads on ~4950 bar data sets)combinations simultaneously. You can test 800 RSI strategies simultaneously on intrasession data; however, you'll likely have to narrow the tested time window.
I recently published a bar count script titled "Bar Count for Backtesting", you can access the script here:
The above script is useful for quickly calculating the number of bars in a time window, or the date for a bar that is "x" number of bars back. Therefore, implementing these scripts cooperatively should improve date selection efficiency (not arbitrarily selecting test start & end dates that fail to load).
I included a tool tip describing the near-maximum bars in a data set that the higher numbers of simultaneous RSI strategies can be tested on.
More to come; enjoy!
(P.S. The script uses private libraries and, consequently, is unable to be published open source)
An optimization script is best implemented to discover what won't work, not what will work. The best performing "optimized" parameters are not a guaranteed profitable investment system. While we may see an exceptionally positive performance for a set of parameters, it's impossible to know how much of that performance is the beneficiary of market noise in the absence of additional testing. Most market moves are noise - irreplicable sequences that offer no predictive utility - and most "good" backtests overwhelmingly benefit from these irreplicable sequences. An investor unfamiliar with this concept may be lead to believe they have found a valid correlation between an indicator sequence and subsequent price movement, despite the correlation being illusory.
Consequently, it should be assumed that the best performing parameters strongly benefitted from market noise and will not work in a live market - until further rigorous statistical tests are performed on an investment system built around the best performing parameters. This includes out-of-sample, in-sample, and forward testing in addition to testing negatively correlated, positively correlated and zero-correlation assets; testing additional assets should be treated as prerequisite to live implementation.
Of course, all trading strategies, even one's that methodically exploit a valid correlation/replicable sequence, will benefit from market noise - it's impossible to avoid. However, a "legit" trading strategy has a chance to work on future price data, while an overoptimized strategy will fail miserably on new price data!
An overoptimized strategy is virtually guaranteed to have a better backtest performance than a valid strategy. The overoptimized strategy will fail in a live market while the valid strategy has a chance of working. So, should you notice the best performing RSI parameters, be sure to build a comprehensive trading system around the parameters and perform additional tests. This is the only way to know if the optimized parameters will truly work in a live market!
Unfortunately, they often will not!
This publication does not constitute investment advice.
Position SizingHello All,
This script can be used for Position Sizing.
After you entered Capital you have, how much you can Risk per Trade, Profit and Stoploss Levels, it calculates Number of Buys/Sells, Position Size and Reward/Risk ratio. you need to choose one of "Long" or "Short" position you will take.
Number of Buys formula = Capital * RiskPerTrade / Loss
Position Size = NumberOfBuys * EntryPrice
Reward / Risk rate = (TargetPrice - EntryPrice) / (EntryPrice - StoplossPrice)
Enjoy!
Alım Algoritması (EMA + RSI + MACD + ATR + Pozisyon Takibi)//@version=5
indicator("Alım Algoritması (EMA + RSI + MACD + ATR + Pozisyon Takibi)", overlay=true)
// === INPUTS ===
ema1_len = input.int(21, title="EMA 1")
ema2_len = input.int(50, title="EMA 2")
ema3_len = input.int(100, title="EMA 3")
rsi_len = input.int(14, title="RSI Length")
atr_len = input.int(14, title="ATR Length")
macd_fast = input.int(12, title="MACD Fast")
macd_slow = input.int(26, title="MACD Slow")
macd_signal = input.int(9, title="MACD Signal")
max_distance_pct = input.float(5.0, title="Max EMA Distance %", step=0.1)
// === CALCULATIONS ===
ema1 = ta.ema(close, ema1_len)
ema2 = ta.ema(close, ema2_len)
ema3 = ta.ema(close, ema3_len)
avg_ema = (ema1 + ema2 + ema3) / 3
distance_pct = math.abs(close - avg_ema) / avg_ema * 100
ema_near = distance_pct <= max_distance_pct
basis = ta.sma(close, 20)
dev = ta.stdev(close, 20)
upper = basis + 2 * dev
lower = basis - 2 * dev
width = (upper - lower) / basis
is_range = width < 0.12 // %5'ten dar bant
rsi = ta.rsi(close, rsi_len)
rsi_trend = ta.sma(rsi, 5)
rsi_up = rsi > rsi_trend
= ta.macd(close, macd_fast, macd_slow, macd_signal)
ema1_cross = ta.crossover(close, ema1) or ta.crossover(close, ema2) or ta.crossover(close, ema3)
ema_recent_cross = ta.barssince(ema1_cross) < 5
// === BUY SIGNAL ===
//buy_signal = ema_near and ema_recent_cross and
// macdLine > signalLine and hist > 0 and
// rsi > 45 and rsi < 65 and rsi_up
buy_signal = not is_range and ema_near and ema_recent_cross and
macdLine > signalLine and hist > 0 and
rsi > 45 and rsi < 65 and rsi_up
//buy_signal = not is_range and ema_near and ema_recent_cross and
// macdLine > signalLine and hist > 0 and
// rsi > 45 and rsi < 65 and rsi_up
// === POSITION LOGIC ===
var bool in_position = false
var float entry_price = na
var float stop_loss = na
var float take_profit_1 = na
var float take_profit_2 = na
atr = ta.atr(atr_len)
// Koşullar
new_buy = buy_signal and not in_position
// SL ve TP seviyeleri hesaplama
new_sl = close - 1.5 * atr
new_tp1 = close + 2.0 * atr
new_tp2 = close + 3.5 * atr
// Pozisyon açma
if new_buy
in_position := true
entry_price := close
stop_loss := new_sl
take_profit_1 := new_tp1
take_profit_2 := new_tp2
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white)
sl_hit = in_position and low <= stop_loss
tp1_hit = in_position and high >= take_profit_1
tp2_hit = in_position and high >= take_profit_2
// Pozisyon kapama sinyali
if sl_hit
in_position := false
//label.new(bar_index, low, "SL", style=label.style_label_down, color=color.red, textcolor=color.white)
if tp2_hit
in_position := false
//label.new(bar_index, high, "TP2", style=label.style_label_down, color=color.rgb(209, 34, 222), textcolor=color.white)
else if tp1_hit
in_position := false
//label.new(bar_index, high, "TP1", style=label.style_label_down, color=color.rgb(209, 34, 222), textcolor=color.white)
// === PLOT ===
// Sadece BUY, SL ve TP seviyeleri çizilir
plot(in_position ? stop_loss : na, title="Stop Loss", color=color.red, style=plot.style_linebr)
//plot(in_position ? take_profit_1 : na, title="TP1", color=color.rgb(209, 34, 222), style=plot.style_linebr)
//plot(in_position ? take_profit_2 : na, title="TP2", color=color.rgb(209, 34, 222), style=plot.style_linebr)
RVOL-TradingCore Functionality
1. Dual RVOL Approach for Entry Confirmation
The script calculates two kinds of RVOLs for up to four intraday timeframes:
RVOL1 (based on daily average volume):
Formula: current intraday volume / 21-day SMA of daily volume
RVOL2 (based on same-timeframe average):
Formula: current intraday volume / average of past N intraday volumes (default 14)
The logic:
High RVOL1 → indicates unusual volume relative to daily historical averages.
High RVOL2 → indicates volume spike compared to typical activity at that timeframe.
2. Entry Signal – CheckGreen Condition
A bullish "Green" condition is triggered if:
Gap-up open (Opening_Price > 0)
Day’s low remains above previous close (strict lowCheck condition)
RVOL1 exceeds set thresholds (default 5% for 3m, 7% for 5m)
RVOL2 exceeds set thresholds (default 100%)
This is a strict entry filter, ensuring both price action and volume align.
💰 Position Sizing Logic
When enabled, the script calculates position size using three stop-loss methods:
Fixed SL % (e.g., 3%)
Day’s Low (LOD) below entry candle
Previous Day’s Low (PDL) below entry candle
🔢 Formula:
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Position Size = totalRisk / (entryPrice × stopLoss%)
Then it estimates position value as % of ₹1L capital (hardcoded).
Outputs include:
Number of shares
% distance to SL
Position size in lakhs (L)
📋 RVOL Table Display
Displays in a table on the chart with the following columns:
Timeframe RVOL1 (%) RVOL2 (%) % Price Change Price SL % Position LOD-based Position PDL-based Position
Color coding helps identify which values meet thresholds.
📌 Customizable Inputs
✅ RVOL Inputs:
Days for SMA & historical volume (default: 21 & 14)
Timeframes: 3m, 5m, 15m, 60m (all configurable)
Thresholds for RVOL1, RVOL2, Gap %, and % price change
✅ Position Size Inputs:
Risk capital (default: ₹2500)
Enable/disable each SL type (SL %, LOD, PDL)
✅ Table Display:
Table size, color, location on chart
Enable/disable SL columns
🧩 Visual Elements
Draws horizontal levels for 5m/15m candle highs (if enabled)
Marks gap-up with a purple 'G' label
Color highlights on table cells for high RVOL or negative price moves
CVD Divergence & Volume ProfileThis Pine Script indicator, named "CVD Divergence & Volume Profile," is designed to identify potential trading opportunities by combining Cumulative Volume Delta (CVD) divergence with Volume Profile levels and an optional Simple Moving Average (SMA) trend filter. It plots signals directly on the price chart.
Here's a breakdown of what each component does and how to potentially trade with it:
1. Cumulative Volume Delta (CVD) Divergence
What it does: CVD measures the cumulative difference between buying and selling volume. A rising CVD indicates more buying pressure, while a falling CVD indicates more selling pressure. Divergence occurs when the price action contradicts the CVD's direction, suggesting a potential shift in momentum or trend reversal.
Bearish Divergence: The price makes a higher high, but the CVD makes a lower high (or fails to make a new high). This suggests that despite the price increasing, the underlying buying pressure is weakening.
Bullish Divergence: The price makes a lower low, but the CVD makes a higher low (or fails to make a new low). This suggests that despite the price decreasing, the underlying selling pressure is weakening.
Visualization:
Red triangle pointing down on the chart indicates a Bearish Divergence signal.
Green triangle pointing up on the chart indicates a Bullish Divergence signal.
2. Volume Profile Levels (VAH, VAL, POC)
What it does: The indicator calculates simplified Volume Profile levels over a user-defined vp_range (number of candles). These levels represent areas where significant trading activity has occurred:
VAH (Value Area High): The upper boundary of the "Value Area," where 70% of the volume traded.
VAL (Value Area Low): The lower boundary of the "Value Area," where 70% of the volume traded.
POC (Point of Control): The price level within the vp_range where the most volume was traded.
Significance: These levels often act as significant support and resistance zones.
Visualization:
Orange lines for VAH and VAL.
Yellow line for POC.
Zone Proximity (zone_thresh): The indicator only generates divergence signals if the current close price is within a specified percentage zone_thresh of either VAH, VAL, or POC. This filters signals to areas of high liquidity and potential turning points.
3. Trend Filter (SMA)
What it does: This is an optional filter (use_trend_filter) that uses a Simple Moving Average (sma_period, default 200).
Significance: It helps ensure that divergence signals are traded in alignment with the broader market trend, potentially increasing their reliability.
For long signals (bullish divergence), the price (close) must be above the SMA (indicating an uptrend).
For short signals (bearish divergence), the price (close) must be below the SMA (indicating a downtrend).
Visualization: A blue line on the chart representing the SMA.
How to Trade with It (Potential Strategies)
The indicator aims to provide high-probability entry points by combining multiple confirming factors. Here's how you might interpret and trade the signals:
Identify Divergence: Look for the triangle signals on your chart (red for bearish, green for bullish).
Confirm Proximity to Volume Profile Levels: The signal itself confirms that the price is near a significant Volume Profile level (VAH, VAL, or POC). These are areas where price often reacts.
Bullish Signal (Green Triangle): This suggests buying momentum is returning after a price decline, especially when the price is near VAL or POC, which might act as support.
Bearish Signal (Red Triangle): This suggests selling momentum is increasing after a price rally, especially when the price is near VAH or POC, which might act as resistance.
Check Trend Alignment (SMA Filter):
For a long trade: You would ideally want to see a green triangle (bullish divergence) while the price is above the blue SMA line. This indicates a bullish divergence confirming a potential bounce within an existing uptrend.
For a short trade: You would ideally want to see a red triangle (bearish divergence) while the price is below the blue SMA line. This indicates a bearish divergence confirming a potential rejection within an existing downtrend.
Entry and Exit Considerations:
Entry: Consider entering a trade on the candle where the signal appears, or on the subsequent candle for confirmation.
Stop Loss: For a long trade, a logical stop-loss could be placed below the lowest point of the divergence, or below the VAL/POC if the signal occurred near it. For a short trade, above the highest point of the divergence or VAH/POC.
Take Profit: Targets could be set at the opposite Volume Profile level, previous swing highs/lows, or using a fixed risk-reward ratio.
Example Trading Scenario:
Long Trade: You see a green triangle (bullish divergence) printed on the chart. You notice the price is currently at the VAL (orange line). You check the blue SMA line and confirm that the price is above it (uptrend). This confluence of factors (bullish divergence, support at VAL, and uptrend) provides a strong potential long entry signal. You might enter, place your stop loss just below VAL, and target VAH or the next resistance level.
Short Trade: You see a red triangle (bearish divergence). The price is at the VAH (orange line). The price is also below the blue SMA line (downtrend). This suggests a potential short entry. You might enter, place your stop loss just above VAH, and target VAL or the next support level.
SL Hunting Detector📌 Step 1: Identify Liquidity Zones
The script plots high-liquidity zones (red) and low-liquidity zones (green).
These are areas where big players target stop-losses before reversing the price.
Example:
If price is near a red liquidity zone, expect a potential stop-loss hunt & reversal downward.
If price is near a green liquidity zone, expect a potential stop-loss hunt & reversal upward.
📌 Step 2: Watch for Stop-Loss Hunts (Fakeouts)
The indicator marks stop-loss hunts with red (bearish) or green (bullish) arrows.
When do stop-loss hunts occur?
✅ A long wick below support (with high volume) = Stop hunt before reversal upward.
✅ A long wick above resistance (with high volume) = Stop hunt before reversal downward.
Confirmation:
Volume must spike (volume > 1.5x the average volume).
ATR-based wicks must be longer than usual (showing a stop-hunt trap).
📌 Step 3: Enter a Trade After a Stop-Hunt
🔹 Bullish Trade (Buying a Dip)
If a green arrow appears (stop-hunt below support):
✅ Enter a long (buy) trade at or just above the wick’s recovery level.
✅ Stop-loss: Below the wick’s low (avoid getting hunted again).
✅ Take-profit: Next resistance level or mid-range of the liquidity zone.
🔹 Bearish Trade (Shorting a Fakeout)
If a red arrow appears (stop-hunt above resistance):
✅ Enter a short (sell) trade at or just below the wick’s rejection level.
✅ Stop-loss: Above the wick’s high (avoid getting stopped out).
✅ Take-profit: Next support level or mid-range of the liquidity zone.
📌 Step 4: Set Alerts & Automate
✅ The indicator triggers alerts when a stop-hunt is detected.
✅ You can set TradingView to notify you instantly when:
A bullish stop-hunt occurs → Look for long entry.
A bearish stop-hunt occurs → Look for short entry.
📌 Example Trade Setup
Example (BTC Long Trade on Stop-Hunt)
BTC is near $40,000 support (green liquidity zone).
A long wick drops to $39,800 with a green arrow (bullish stop-hunt signal).
Volume spikes, and price recovers quickly back above $40,000.
Trade entry: Buy at $40,050.
Stop-loss: Below wick ($39,700).
Take-profit: $41,500 (next resistance).
Result: BTC pumps, stop-loss remains safe, and trade profits.
🔥 Final Tips
Always wait for confirmation (don’t enter blindly on signals).
Use higher timeframes (15m, 1H, 4H) for better accuracy.
Combine with Order Flow tools (like Bookmap) to see real liquidity zones.
🚀 Now try it on TradingView! Let me know if you need adjustments. 📈🔥
Heiken Ashi Algo v6The Heiken Ashi Algo Oscillator v6, introduces a refined approach to technical analysis applicable across various markets. Central to this algorithm is the integration of the Relative Strength Index #RSI, a staple indicator renowned for its effectiveness in measuring momentum.
The RSI - Tried and True:
By incorporating the #RSI, traders gain valuable insights into the speed and strength of price movements, aiding in the identification of potential #trend #reversals and #continuations.
Why Heiken Ashi Candles:
Additionally, the utilization of #Heiken Ashi candles within this algorithm offers a smoother representation of price action, reducing noise and enhancing clarity in trend analysis. This feature is particularly advantageous in volatile markets, where traditional candlestick patterns may produce false signals. By employing Heiken #Ashi candles, traders can more accurately identify underlying trends and make informed decisions based on reliable price data.
Combining RSI and Heiken Ashi:
The synergy between the RSI and Heiken Ashi candles in the Heiken Ashi Algo Oscillator v6 provides traders with a comprehensive perspective on both momentum and trend direction. This combination allows for a nuanced analysis of market dynamics, enabling traders to navigate various market conditions with greater confidence.
Heiken Ashi Candle Sizes:
The size of the Heiken Ashi candles serves as a visual indicator of the distance the RSI has moved between closing prices, offering additional insights into momentum shifts.
Not your average Heiken Ashi Candles:
Ive taken the time to do some serious custom coding for these particular Heiken Ashi Candles.
They do NOT color as the normal ones do. There is a setting in the inputs tab of the indicator that allows you to color them according to my secret code where its looking for Breaks of Structure on lower timeframes based on Heiken Ashi Candle calculations.
Turning on this feature gives you a more promising array of candle colors telling you about false or positive breakouts and trends.
Why choose this tool:
CoffeeShopCrypto's Heiken Ashi Algo Oscillator v6 offers a balanced and effective tool for traders across different markets. By leveraging the power of the RSI and Heiken Ashi candles, traders can enhance their decision-making process, identify trading opportunities with greater precision, and ultimately improve their overall trading performance.
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Inflow / Outflow (accumulation and distribution) Ribbon
In trading we know liquidity means volume and volume is orders. This ribbon shows you when orders are entering, exiting, filling or flat in the market.
The Liquidity Ribbon is a visual representation of whats happening with accumulation and distribution in the market.
It acts as a dynamic area of support and resistance for the RSI (momentum).
Once the RSI breaks above or below the full area of the ribbon, you have an overturned short term market.
Breaking this area isn't easy because of the one sided thick line known as the PoC line or Point of Control Line.
This line changes between a rising and falling color to tell you what side of the market has the most resistance or support.
Custom HA candles
The common way for HA candles to be colors is green for bullish and red for bearish.
These candles color differently according to market dynamics vs how the current candle closes.
This is helpful to keep you from taking longs or shorts when the momentum just doesn't have the move.
How it all works together: Taking entries and failed breakouts.
In the image below (left to right) you can see the following take place:
Short Entry:
HA Candles push down through the ribbon breaking below its low side (Support Ribbon Broken)
Following this the RSI RANGE is broken to the down side.
This is a good setup for a short breakout
Retrace to false breakout:
After this price retraces and so does momentum.
HA Candles attempt to but fail to break through the top of the ribbon and push back down . This is a false breakout.
Bullish Divergence to Long Entry:
The Heiken Ashi Algo forms a bullish divergence and HA candles push back up into the ribbon. Without a change in candle structure the RSI breaks the top of the ribbon where the control line sits as well as breaking through the top of the RANGE area and
This is a promising setup for a long trade.
Rally Base Rally: (into secondary long trade)
As price is rising, it retraces until HA candles are within the RANGE. No candle closes or has a low below the RSI midline.
HA Candles are forming a consolidation. After consolidation the RSI breaks out the top of the ribbon and the top of the RANGE allowing a secondary long entry.
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Im not gonna lie. Ive written a lot of tutorials but this one was probably the most exciting to describe.
If you have any questions please do ask below.
