No Wick Candle Finder"No Wick Candle Finder", is a visual that identifies and confirms candlestick patterns with no wicks—a rare but significant type of price action. Here's a breakdown of what it does, how it works, and why traders might find it useful:
This script highlights candles with no wicks and adds an extra layer of confirmation before plotting a signal.
📌 What is a No-Wick Candle?
A "no-wick" candle means:
Bullish (green) no-wick candle:
Open = Low
Close = High
Strong buying pressure from start to end of the candle.
Bearish (red) no-wick candle:
Open = High
Close = Low
Strong selling pressure throughout the candle.
These candles indicate a clear directional move with no retracement during the timeframe.
🧠 Trading Use Cases
Trend Continuation Entry: These candles can signal strong momentum continuation.
Breakout Confirmation: Often appear on breakouts—confirming strength.
Scalping or Intraday: Great for short timeframes where clean moves matter most.
在腳本中搜尋"entry"
Wave Analyzer - Bobal [hamgkia]The Bobal tool is a volume-based wave analyzer designed to highlight the effort behind price movement within trend waves. It is built with a focus on clarity, speed of response, and a Wyckoff-inspired philosophy, where volume and trend direction are deeply intertwined.
This script offers a unique visualization of directional volume flow — up or down — in clearly segmented waves, allowing traders to assess who is in control and how strong their effort is. It does this by calculating dynamic trend waves, accumulating volume within those waves, and comparing volume to volatility for normalization.
🔶 WHAT'S INCLUDED
Detects directional waves based on your selected moving average (SMA, EMA, WMA, or HMA).
Accumulates volume within each wave, creating a distinct "volume block" per wave.
Normalizes volume by ATR (optional) to adjust for current market volatility.
Applies a power function to volume strength for dynamic contrast (stronger waves stand out visually).
Plots volume histograms in real-time: green/orange for up waves, red/fuchsia for down waves.
Optional - displays trend strength background based on recent price expansion vs ATR.
🔷 HOW IT WORKS
Wave Definition
A wave is defined as a sequence of bars moving in the same direction based on a selected moving average:
If the MA rises → uptrend wave
If the MA falls → downtrend wave
Wave resets on direction change.
Volume Accumulation
Volume is accumulated within each wave, starting fresh at the beginning of each new wave. This clean segmentation reveals whether the current wave is attracting participation (volume).
Normalization (Optional)
Volume can be normalized by the ATR (Average True Range) to account for volatility differences across symbols and timeframes. This makes comparisons more meaningful.
Strength Calculation
Volume strength is calculated by comparing current wave volume to the maximum over a recent period (default: 50 bars), and applying a pow() function for expressive scaling. This emphasizes high-effort waves while de-emphasizing noise.
🔶 USAGE
A new wave starts when the selected MA (SMA, EMA, WMA, HMA) changes direction.
Read the Strength of the Current Wave
🟩 — strong up
🟧 — weak up
🟪 — weak down
🟥 — strong down
Look for these setups
📉 Strong down wave 🟥 followed by weak up wave 🟧 — possible lower high, selling may resume.
📈 Strong up wave 🟩 followed by weak down wave 🟪 — possible bullish absorption, look for long setups.
Wave is long, but volume fades (bars shrink) — trend may be slowing, consider tightening stops or avoiding late entries.
Trend is increasing, volumes are growing — potential entry points.
Use Background Strength for Context
🟩 — bright green — strong bullish
🟥 — bright red — strong bearish
Any dim or translucent color — no clear trend
What NOT to do
Don’t enter blindly on volume spikes — check direction and trend background first.
Don’t treat every strong bar as a signal — look for sequences and transitions, not isolated bars.
Ideal Use Cases
Confirming trend strength before entry.
Avoiding fakeouts in low-volume waves.
Spotting transitions in buyer/seller dominance.
Reading market participation in real time.
Trend Indicator with ArrowsTrend Indicator with arrows is a NoBrainer indicator to see the trend clearly.
UpTrend is defined as a candle closing above previous high. I
DownTrend is defined as a candle closing below previous low
A consolidation is defined as a candle closing inside previous candle high low.
UpTrend - Indicated with a green arrow below the candle with the current indicator.
DownTrend - ndicated with a red arrow above the candle with the current indicator.
So How to use this Indicator?
Identify zones of consolidation where the indicator doesn't show any arrows. Upon shift from consolidation to UpTrend or DownTrend take a entry. This is one way.
Second and most useful way is wait for Support or resistant hit.
If it's a support. Upon support hit wait for Consolidation, DownTrend and then UpTrend/(Consolidation again with uptrend) for long entry.
If its a resistance. Upon resistance hit wait for Consolidation, Uptrend and then DownTrend/(Consolidation again with DownTrend) for short Entry.
FVG Visual Trading ToolHow to Use the FVG Tool
1. Identify the FVG Zone
Bullish FVG: Look for green boxes that represent potential support zones. These are areas where price is likely to retrace before continuing upward.
Bearish FVG: Look for red boxes that represent potential resistance zones. These are areas where price is likely to retrace before continuing downward.
2. Set Up Your Trade
Entry: Place a limit order at the retracement zone (inside the FVG box). This ensures you enter the trade when the price retraces into the imbalance.
Stop-Loss (SL): Place your stop-loss just below the FVG box for bullish trades or just above the FVG box for bearish trades. The tool provides a suggested SL level.
Take-Profit (TP): Set your take-profit level at a 2:1 risk-reward ratio (or higher). The tool provides a suggested target level.
3. Let the Trade Run
Once your trade is set up, let it play out. Avoid micromanaging the trade unless market conditions change drastically.
Step-by-Step Example
Bullish FVG Trade
Identify the FVG:
A green box appears, indicating a bullish FVG.
The tool provides the target price (e.g., 0.6371) and the stop-loss level (e.g., 0.6339).
Set Up the Trade:
Place a limit buy order at the retracement zone (inside the green box).
Set your stop-loss just below the FVG box (e.g., 0.6339).
Set your take-profit at a 2:1 risk-reward ratio or the suggested target (e.g., 0.6371).
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Bearish FVG Trade
Identify the FVG:
A red box appears, indicating a bearish FVG.
The tool provides the target price and the stop-loss level.
Set Up the Trade:
Place a limit sell order at the retracement zone (inside the red box).
Set your stop-loss just above the FVG box.
Set your take-profit at a 2:1 risk-reward ratio or the suggested target.
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Key Features of the Tool in Action
Visual Clarity:
The green and red boxes clearly show the FVG zones, making it easy to identify potential trade setups.
Labels provide the target price and stop-loss level for quick decision-making.
Risk-Reward Management:
The tool encourages disciplined trading by providing predefined SL and TP levels.
A 2:1 risk-reward ratio ensures that profitable trades outweigh losses.
Hands-Off Execution:
By placing limit orders, you can let the trade execute automatically without needing to monitor the market constantly.
Best Practices
Trade in the Direction of the Trend:
Use higher timeframes (e.g., 4-hour or daily) to identify the overall trend.
Focus on bullish FVGs in an uptrend and bearish FVGs in a downtrend.
Combine with Confirmation Signals:
Look for additional confirmation, such as candlestick patterns (e.g., engulfing candles) or indicator signals (e.g., RSI, MACD).
Adjust Parameters for Volatility:
For highly volatile markets, consider increasing the stop-loss percentage to avoid being stopped out prematurely.
Avoid Overtrading:
Not every FVG is a good trading opportunity. Be selective and only trade setups that align with your strategy.
Backtest and Optimize:
Use historical data to test the tool and refine your approach before trading live.
Common Mistakes to Avoid
Entering Without Confirmation:
Wait for price to retrace into the FVG zone before entering a trade.
Avoid chasing trades that have already moved away from the zone.
Ignoring Risk Management:
Always use a stop-loss to protect your account.
Stick to a consistent risk-reward ratio.
Trading Against the Trend:
Avoid taking trades that go against the prevailing market trend unless there is strong evidence of a reversal.
Final Thoughts
The FVG Visual Trading Tool is a powerful aid for identifying high-probability trade setups. By following the steps outlined above, you can use the tool to trade with confidence and discipline. Remember, no tool guarantees success, so always combine it with sound trading principles and proper risk management
BBr1 Candle Range Volitility Gap IndicatorModified Candle Range Volatility Gap Indicator
1. Useful to analyze bars body and wicks and volatility of security.
2. Added a Percentage Option - easier to analyze across different securities.
2. Added a Standard Deviation ("1 std dev= 68.2%, 2 std dev=95.4%, 3 std dev=99.7%, etc") based upon user defined lookback period.
3. Added the ability to include Gaps in Analysis. (Gaps are when the prior closing cost does not equal opening price)
4. Possible Uses setting up stop losses, trailing entries/exits (inside range or outside range).
5. Use it with other indicators in determining if to make an entry or close entry.
Reposted Original Description by © ka66 Kamal Advani
Visually shows the Body Range (open to close) and Candle Range (high to low).
Semi-transparent overlapping area is the full Candle Range, and fully-opaque smaller area is the Body Range. For aesthetics and visual consistency, Candle Range follows the direction of the Body Range, even though technically it's always positive (high - low).
The different plots for each range type also means the UI will allow deselecting one or the other as needed. For example, some strategies may care only about the Body Range, rather than the entire Candle Range, so the latter can be hidden to reduce noise.
Threshold horizontal lines are plotted, so the trader can modify these high and low levels as needed through the user interface. These need to be configured to match the instrument's price range levels for the timeframe. The defaults are pretty arbitrary for +/- 0.0080 (80 pips in a 4-decimal place forex pair). Where a range reaches or exceeds a threshold, it's visually marked as well with a shape at the Body or Candle peak, to assist with quicker visual potential setup scanning, for example, to anticipate a following reversal or continuation.
Opening Range BoxIndicator Name: Opening Range Box with Extensions
Author: YanivBull
Description:
The Opening Range Box with Extensions is a powerful tool designed to visualize the trading range established during the first 30 minutes of a market session, a critical period for setting the day's trend. This indicator plots a box representing the high and low prices formed within this opening range, with dashed extension lines projecting these levels forward throughout the session.
Its primary purpose is to identify the boundaries of the initial trend at the start of trading. When these boundaries are breached, it serves as a trigger for potential trading opportunities: a breakout above the box high signals a possible long entry, while a breakdown below the box low indicates a potential short entry. The indicator also includes historical boxes for up to 5 previous days (configurable), allowing traders to analyze past opening ranges and their extensions for context and pattern recognition.
Key Features:
Customizable session start time (hour and minute) to adapt to various markets (e.g., NYSE, DAX, etc.).
Displays the current session's opening range box in blue and historical boxes in gray.
Plots dashed extension lines from the high and low of each box, limited to 500 bars or the end of the trading day.
Adjustable number of historical days (1-20, default 5).
Usage:
Set the Session Start Hour and Session Start Minute according to your market's opening time (relative to your chart's timezone, e.g., UTC+2). Watch for price action around the box boundaries—breakouts above the high or below the low can be used as signals for initiating long or short trades, respectively. Combine with other technical analysis tools for confirmation.
This indicator is ideal for day traders looking to capitalize on early session momentum and breakout strategies.
Multi Timeframe 8x MA Support Resistance Zones [SiDec]Multi-Timeframe Moving Average Support/Resistance Zones: The Ultimate Trading Power Tool
Indicator Overview
Get ready to elevate your trading game with the Multi-Timeframe Moving Average Support/Resistance Zones indicator. This advanced tool is engineered for traders who want to maximize efficiency without constantly switching between timeframes. By dynamically plotting support and resistance zones using the 21 SMA and 21 EMA, it reveals crucial price levels where trends may pause, reverse, or accelerate—giving you actionable insights in a fraction of the time.
Imagine seeing all the relevant timeframe zones on one chart, without ever needing to flip between timeframes—saving you time and allowing you to focus on what really matters.
Core Features
Dynamic Zones That Adjust in Real-Time:
The area between the 21 EMA and 21 SMA is shaded, forming a "zone" on your chart. This dynamic zone adjusts live as price moves, keeping you in sync with current market behavior across multiple timeframes.
By showing these zones across all your selected timeframes, you can view everything you need at a glance—no time wasted jumping between charts.
All Timeframes, One View:
With the ability to view multiple timeframe zones simultaneously (from 5-minute to Monthly), this tool helps you spot key levels quickly without switching between timeframes. You’ll see how price interacts with these levels across different timeframes without ever having to change charts.
Higher timeframes show broader, more significant zones—giving you the market's big picture—while intraday zones help you fine-tune your entries.
Customisable Like Never Before:
Toggle Timeframes: Only activate the timeframes you care about—no distractions, just pure focus.
Color Your World: Assign different colors to each timeframe for instant visual cues (e.g., blue for Daily, gold for Weekly). This makes it easy to identify key zones across all timeframes at a glance.
Why You Need This Tool
Instant Trend Confirmation: Track how price interacts with multiple timeframe zones to confirm bullish or bearish momentum in real-time.
Confluence = High Confidence: When zones from multiple timeframes overlap, you’ve found a high-probability reversal area. This is where the market is likely to turn, and where your edge lies.
Efficiency at Its Best: No more switching between timeframes—everything you need is in one place, giving you more time to trade and less time spent on analysis.
Configuration Instructions
1.) Timeframe Selection:
Choose which timeframes to display using the Timeframe Selection panel.
Intraday Focus: 5m, 15m, 1H.
Swing/Long-Term Focus: 4H, 12H, Daily, Weekly, Monthly.
Color Coding: Assign a distinct color to each timeframe for instant identification—like having a personal color-coded trading roadmap.
2.) MA Settings:
MA Types:
21 EMA: Perfect for capturing short-term trends and fast price action.
21 SMA: The smooth operator for spotting longer-term trends with more consistency.
Recommended Periods: The 21-period MA works wonders for trend detection across various timeframes. You can also integrate Fibonacci-based MAs (e.g., 55, 233) for enhanced confluence.
3.) Visual Tweaks:
Opacity: Adjust the zone transparency (80-90% opacity keeps it visible yet non-intrusive).
Zone Extensions: Customize how far zones extend backward and forward, capturing the full impact of support/resistance levels.
Labels: Show real-time MA values and timeframe-specific details for further clarity.
Trading Strategies That Pack a Punch
1.) Trend Confirmation:
Uptrend: Price staying above the 21 EMA and 21 SMA suggests a bullish trend.
Downtrend: Price holding below these MAs signals a bearish market.
2.) Zone-Based Reversals:
Entry: Look for price to retrace to a higher timeframe support zone (e.g., Daily 21 SMA) with confirmation from oversold/overbought indicators like RSI.
Exit: Time to sell when price breaks through a critical zone, like the 4H 21 EMA.
3.) Confluence Trading:
Combine the zones with other indicators to amplify your trade setups:
Fibonacci Levels: When a 61.8% retracement lines up with an MA zone, you’ve found a high-confluence area.
Volume Profile: High-volume nodes near key zones strengthen their significance.
Best Practices for Maximum Profit
Focus on Higher Timeframes: Weekly and Monthly zones carry more weight, making them more significant in decision-making.
Avoid Clutter: If you’re trading higher timeframes, disable intraday timeframes like 5m and 15m to keep your chart clear and focused.
Risk Management: Zones are probabilities, not guarantees. Always use stop-loss orders to protect your trades.
Example of a Winning Setup
Scenario:
Price retraces to the 1H 21 EMA zone.
The Daily 21 SMA zone is nearby—talk about confluence!
RSI shows oversold conditions, indicating a potential reversal.
Action:
Enter long on a bullish candlestick pattern (e.g., bullish engulfing).
Set your stop-loss just below the Daily 21 SMA zone.
Target the next higher timeframe resistance.
Performance Considerations
Repainting Risk: Zones might slightly adjust with the formation of new bars, but the changes will typically be minimal.
Enhance with Oscillators: Use momentum indicators like MACD or Stochastic and volume analysis for even more confirmation.
Conclusion
The Multi-Timeframe Moving Average Support/Resistance Zones indicator isn’t just a tool—it’s a game-changer. With the ability to view all relevant timeframe zones on one chart, you can make decisions faster, spot high-confluence areas, and trade with greater precision. The time you save by not switching between timeframes can make all the difference in your trading success.
Maximise your trading edge—harness the power of multi-timeframe analysis, gain more time to trade, and dominate the market like never before. 📊🔍
Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI
Introduction
The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSI—and further refining it with a Zero-Lag Moving Average (ZLMA)—this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience.
Why Combine RSI with FRAMA
Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions.
By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure.
With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes.
Originality
This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility.
This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions.
Features
Adaptive FRAMA RSI
The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts.
Zero-Lag Moving Average (ZLMA)
A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection.
Bullish and Bearish Threshold Crossovers
This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals.
Noise Filter and Manual Alpha
A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicator’s sensitivity.
Divergence Detection
The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals.
Reversal Signals
Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals.
Buy and Sell Signal Options
Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style.
ZLMA:
FRAMA:
Customizable Alerts
Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed.
Fully Customizable Bar Coloring System
Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition.
Input Parameters and Features
Core Inputs
RSI Length (default: 14) defines the period for RSI calculations.
FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function.
RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish.
Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals.
Additional Features
Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold.
Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots.
Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points.
Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry.
ZLMA Enhancements
ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI.
Visualization Options
Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor.
Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level.
How It Works
FRAMA Calculation
FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness.
RSI with FRAMA Smoothing
RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag.
Bullish and Bearish Threshold Crosses
A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals.
Buy and Sell Signal Options
Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing.
Divergence Detection
The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals.
Reversal Signal Labels
When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points.
Bar Coloring System
Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment.
Alerts and Internal Stats
Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator.
Summary
The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters.
Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading.
Disclaimer
This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
ILD inverse liquidity Divergence StrategyDetermine Bias (Bullish):
H4 chart shows an uptrend with higher highs and higher lows.
Identify a swing high where resting liquidity (buy-side) is likely above.
Look for SMT Divergence (Lower Timeframes):
On M15, EUR/USD makes a higher high while GBP/USD fails to, signaling potential manipulation.
Spot an Inverse Fair Value Gap (IFVG):
Price has impulsively moved up, leaving a fair value gap below.
Wait for a Retracement (Entry):
Price retraces into the IFVG near a Fibonacci 61.8% retracement level.
Enter long here with a SL below the gap.
Set Risk-to-Reward:
SL = 10 pips below the entry.
TP = 20 pips above (1:2 R:R), targeting a resting liquidity zone above a recent swing high.
Monitor and Exit:
Price moves into the liquidity zone, hits TP, and completes the trade.
One Shot One Kill ICT [TradingFinder] Liquidity MMXM + CISD OTE🔵 Introduction
The One Shot One Kill trading setup is one of the most advanced methods in the field of Smart Money Concept (SMC) and ICT. Designed with a focus on concepts such as Liquidity Hunt, Discount Market, and Premium Market, this strategy emphasizes precise Price Action analysis and market structure shifts. It enables traders to identify key entry and exit points using a structured Trading Model.
The core process of this setup begins with a Liquidity Hunt. Initially, the price targets areas like the Previous Day High and Previous Day Low to absorb liquidity. Once the Change in State of Delivery(CISD)is broken, the market structure shifts, signaling readiness for trade entry. At this stage, Fibonacci retracement levels are drawn, and the trader enters a position as the price retraces to the 0.618 Fibonacci level.
Part of the Smart Money approach, this setup combines liquidity analysis with technical tools, creating an opportunity for traders to enter high-accuracy trades. By following this setup, traders can identify critical market moves and capitalize on reversal points effectively.
Bullish :
Bearish :
🔵 How to Use
The One Shot One Kill setup is a structured and advanced trading strategy based on Liquidity Hunt, Fibonacci retracement, and market structure shifts (CISD). With a focus on precise Price Action analysis, this setup helps traders identify key market movements and plan optimal trade entries and exits. It operates in two scenarios: Bullish and Bearish, each with distinct steps.
🟣 Bullish One Shot One Kill
In the Bullish scenario, the process starts with the price moving toward the Previous Day Low, where liquidity is absorbed. At this stage, retail sellers are trapped as they enter short trades at lower levels. Following this, the market reverses upward and breaks the CISD, signaling a shift in market structure toward bullishness.
Once this shift is identified, traders draw Fibonacci levels from the lowest point to the highest point of the move. When the price retraces to the 0.618 Fibonacci level, conditions for a buy position are met. The target for this trade is typically the Previous Day High or other significant liquidity zones where major buyers are positioned, offering a high probability of price reversal.
🟣 Bearish One Shot One Kill
In the Bearish scenario, the price initially moves toward the Previous Day High to absorb liquidity. Retail buyers are trapped as they enter long trades near the highs. After the liquidity hunt, the market reverses downward, breaking the CISD, which signals a bearish shift in market structure. Following this confirmation, Fibonacci levels are drawn from the highest point to the lowest point of the move.
When the price retraces to the 0.618 Fibonacci level, a sell position is initiated. The target for this trade is usually the Previous Day Low or other key liquidity zones where major sellers are active.
This setup provides a precise and logical framework for traders to identify market movements and enter trades at critical reversal points.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 LIQUIDITY Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 LIQUIDITY Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
The One Shot One Kill setup is one of the most effective and well-structured trading strategies for identifying and capitalizing on key market movements. By incorporating concepts such as Liquidity Hunt, CISD, and Fibonacci retracement, this setup allows traders to enter trades with high precision at optimal points.
The strategy emphasizes detailed Price Action analysis and the identification of Smart Money behavior, helping traders to execute successful trades against the general market trend.
With a focus on identifying liquidity in the Previous Day High and Low and aligning it with Fibonacci retracement levels, this setup provides a robust framework for entering both bullish and bearish trades.
The combination of liquidity analysis and Fibonacci retracement at the 0.618 level enables traders to minimize risk and exploit major market moves effectively.
Ultimately, success with the One Shot One Kill setup requires practice, patience, and strict adherence to its rules. By mastering its concepts and focusing on high-probability setups, traders can enhance their decision-making skills and build a sustainable and professional trading approach.
Follow Through Day (FTD) + Sweep [TrendX_]The Follow Through Day (FTD) + Sweep indicator is a Trend-following tool mixing William O'Neil's original FTD concept and Liquidity concept. This indicator helps you identify potential subsequent bullish trends with greater precision by combining volume analysis, price action, and liquidity concepts.
💎 FEATURES
Follow Through Day Candle (FTD Candle)
The FTD, pioneered by William O'Neil, serves as a reliable signal for identifying the beginning of new bull markets. It's particularly valuable because it combines multiple market factors - price action, volume, and timing - to confirm genuine market reversals rather than temporary bounces.
The power of the FTD lies in its ability to distinguish between ordinary market fluctuations and significant trend changes. By requiring specific criteria to be met across multiple sessions, it helps filter out false signals and identifies high-probability reversal points where institutional investors are likely beginning to accumulate positions.
Sweep Area
The Sweep area feature enhances the traditional FTD concept by incorporating modern liquidity analysis. This overlay identifies zones where large market participants are likely to trigger stop losses before continuing the trend. These areas often represent optimal entry points for traders looking to join the new uptrend with reduced risk.
🔎 BREAKDOWN
FTD Candle
The FTD formation process occurs in two distinct phases: Setup and Completion.
Setup Phase
Strong Market Decline
The market must first experience a significant downtrend
This selling pressure helps clear out weak hands and creates oversold conditions
The decline creates the potential energy for a powerful reversal
First Recovery Session
Marks the initial sign of buying pressure emerging
Often characterized by a strong reversal candle
Represents the first indication that selling pressure may be exhausting
Recovery Confirmation
The second and third days must maintain prices above the new pivot low
This consolidation period helps confirm the validity of the initial bounce
Shows that sellers are no longer in control of price action
Completion Phase:
Supply Test Session
Low volume indicates diminishing selling pressure
Price remains above the pivot low
Creates the foundation for institutional buyers to begin accumulating
Breakout Day
Price increase exceeds average profit of bullish candles
Volume increases by at least 15% compared to previous session
Shows strong institutional commitment to the new uptrend
Timing Window
Must occur between the 4th and 8th candle after First Recovery Session
This specific timing helps confirm the sustainability of the reversal
Based on O'Neil's research of historical market bottoms
FTD Sweep
The Post-FTD Phase introduces the Sweep concept, which is crucial for understanding how large market participants operate. This feature leverages the liquidity concept because institutional traders often need to trigger stop losses to accumulate larger positions at better prices. This helps:
Create liquidity pools for large position entries
Shake out weak hands before continuing the trend
Test the strength of the new trend by absorbing selling pressure
⚙️ USAGE
Sweep + TP & SL Strategy
Example: BTCUSDT (1D) - Replay back to 9th November 2024
After an FTD candle forms, traders can adopt a systematic approach to enhance their trading strategy. First, they should determine the swing range and convert the post-FTD zone into concrete stop loss and take profit levels, which are based on the price action during the FTD formation. Next, traders should wait for a sweep formation, as this indicates that institutional players are accumulating positions. A quick price rejection from the sweep level should be observed before executing an entry.
The reasoning behind this strategy is rooted in market microstructure. By waiting for the sweep, traders position themselves alongside institutional players who need to build large positions without causing adverse price movement. The sweep creates the liquidity they need, and the subsequent move often represents the true trend continuation.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Enigma Liquidity Concept
Enigma Liquidity Concept
Empowering Traders with Multi-Timeframe Analysis and Dynamic Fibonacci Insights
Overview
The Enigma Liquidity Concept is an advanced indicator designed to bridge multi-timeframe price action with Fibonacci retracements. It provides traders with high-probability buy and sell signals by combining higher time frame market direction and lower time frame precision entries. Whether you're a scalper, day trader, or swing trader, this tool offers actionable insights to refine your entries and exits.
What Makes It Unique?
Multi-Timeframe Signal Synchronization:
Higher time frame bullish or bearish engulfing patterns are used to define the directional bias.
Lower time frame retracements are analyzed for potential entry opportunities.
Dynamic Fibonacci Layouts:
Automatically plots Fibonacci retracement levels for the most recent higher time frame signal.
Ensures a clean chart by avoiding clutter from historical signals.
Actionable Buy and Sell Signals:
Sell Signal: When the higher time frame is bearish and the price on the lower time frame retraces above the 50% Fibonacci level before forming a bearish candle.
Buy Signal: When the higher time frame is bullish and the price on the lower time frame retraces below the 50% Fibonacci level before forming a bullish candle.
Customizable Fibonacci Visuals:
Full control over Fibonacci levels, line styles, and background shading to tailor the chart to your preferences.
Integrated Alerts:
Real-time alerts for buy and sell signals on the lower time frame.
Alerts for bullish and bearish signals on the higher time frame.
How It Works
Higher Time Frame Analysis:
The indicator identifies bullish and bearish engulfing patterns to detect key reversals or continuation points.
Fibonacci retracement levels are calculated and plotted dynamically for the most recent signal:
Bullish Signal: 100% starts at the low, 0% at the high.
Bearish Signal: 100% starts at the high, 0% at the low.
Lower Time Frame Execution:
Monitors retracements relative to the higher time frame Fibonacci levels.
Provides visual and alert-based buy/sell signals when conditions align for a high-probability entry.
How to Use It
Setup:
Select your higher and lower time frames in the settings.
Customize Fibonacci levels, line styles, and background visuals for clarity.
Trade Execution:
Use the higher time frame signals to determine directional bias.
Watch for actionable buy/sell signals on the lower time frame:
Enter short trades on red triangle sell signals.
Enter long trades on green triangle buy signals.
Alerts:
Enable alerts for real-time notifications of buy/sell signals on lower time frames and higher time frame directional changes.
Concepts Underlying the Calculations
Engulfing Patterns: Represent key reversals or continuations in price action, making them reliable for defining directional bias on higher time frames.
Fibonacci Retracements: Fibonacci levels are used to identify critical zones for potential price reactions during retracements.
Multi-Timeframe Analysis: Combines the strength of higher time frame trends with the precision of lower time frame signals to enhance trades.
Important Notes
This indicator is best used in conjunction with your existing trading strategy and risk management plan.
It does not repaint signals and ensures clarity by displaying Fibonacci levels only for the most recent signal.
Ideal For:
Swing traders, day traders, and scalpers looking to optimize entries and exits with Fibonacci retracements.
Traders who prefer clean charts with actionable insights and customizable visuals.
Dynamic Signal EngineDynamic Signal Engine
The Dynamic Signal Engine is a powerful and versatile indicator, designed to help traders make informed decisions by combining trend analysis with key support and resistance levels. This tool is inspired by the Linear Regression Oscillator , which laid the foundation for this enhanced implementation. By building on the original concept, this script introduces additional features, customization, and integration with dynamic trading strategies to suit diverse trading styles.
Key Features
Inspiration and Foundation
This indicator draws inspiration from the Linear Regression Oscillator , leveraging its robust trend detection capabilities while adding custom enhancements for broader functionality and user adaptability.
Trading Style Customization
Adaptable for Scalping, Intraday, and Swing Trading with dynamic parameter adjustments for each style.
User-defined inputs for thresholds, lookback periods, and visualization options provide further control.
Enhanced Linear Regression Oscillator (LRO)
A refined implementation of the LRO calculates deviations from a regression line, normalized for improved trend detection.
Identifies bullish and bearish crossovers with added alerts and visual markers.
Includes proximity alerts for critical thresholds to help traders anticipate key market movements.
Dynamic Support and Resistance Integration
Incorporates ENIGMA Signal Logic to identify swing highs and lows, dynamically marking them as fractal support and resistance levels.
When a sell signal from ENIGMA is generated, traders can choose to sell immediately or use the low of the previous candle as the entry point. Similarly, for a buy signal, traders can buy immediately or use the high of the previous candle for entry. These signals are visually indicated by a green triangle for buy signals, ensuring clear and actionable insights.
Advanced Visualization
Displays key levels with customizable horizontal lines (solid, dashed, or dotted) and labels for clarity.
Candle colours and mini arrows highlight trends and potential trading opportunities.
Real-Time Alerts
Alerts for LRO threshold crossings and swing-level breaches keep you updated without the need for constant monitoring.
Optimized for Usability
Designed to keep charts clean by limiting displayed trades and signals to recent activity.
Adjustable parameters ensure flexibility and a user-friendly experience.
How It Works
Trend Detection with Enhanced LRO
The indicator builds on the Linear Regression Oscillator , calculating oscillations of price movements and normalizing them for trend analysis. Crossovers and threshold proximity are visualized on the chart and trigger alerts for potential market shifts.
Dynamic Support and Resistance Levels
The ENIGMA Signal Logic identifies recent swing highs and lows, marking them as key levels. These levels are dynamically updated as new swing points are detected, providing actionable support and resistance zones.
Signal Confirmation
Buy or sell signals are confirmed when:
Price breaches the swing levels.
The LRO aligns with directional bias (e.g., bearish crossover for sell signals).
Signals are further clarified by ENIGMA's green triangle indicators, showing key buy and sell opportunities.
Visualization and Alerts
Signals are displayed using arrows, labelled horizontal lines, and optional candle colours. Alerts notify traders of key events, such as LRO threshold crossings or swing-level breaches.
How to Use
Choose your Trading Style: Scalping, Intraday, or Swing Trading. The indicator adjusts its default settings automatically.
Fine-tune parameters like LRO thresholds, line lengths, and the number of visible trades to suit your preferences.
Observe the chart for signals:
Green arrows and lines indicate buy opportunities.
Red arrows and lines signal sell opportunities.
Use the alert system to stay informed about LRO thresholds and signal confirmations.
Integrate the indicator with your existing trading strategy for better decision-making.
Acknowledgement
This script was inspired by the Linear Regression Oscillator . While it builds on the core concept, this implementation introduces unique enhancements, such as dynamic signal integration, trading style adaptability, and advanced visualization tools, making it a highly customizable and versatile tool for traders.
Disclaimer
This indicator is intended for educational purposes only and should not be considered financial advice. Always perform due diligence and apply appropriate risk management when trading.
IPO Lifecycle Sell Strategy [JARUTIR]IPO Lifecycle Sell Strategy with Dynamic Buy Date and Multiple Sell Rules
This custom TradingView script is designed for traders looking to capitalize on dynamic strategies for IPOs and growth stocks, by implementing several sell rules based on price action and technical indicators. It provides a set of sell rules that are applied dynamically depending on the stock's lifecycle and price action, allowing users to lock in profits and minimize drawdowns based on key technical thresholds.
The four sell strategies incorporated into this script are inspired by the book "The Lifecycle Trade", a resource that focuses on capturing profits while managing risk in different phases of a stock's lifecycle, from IPO to high-growth stages.
Key Features:
Buy Price and Buy Date: You can either manually input your buy price and date or let the script automatically detect the buy date based on the specified buy price.
Multiple Sell Strategies: Choose from 4 predefined sell strategies:
Ascender Rule : Captures strong momentum from IPO stocks by selling portions at specific price levels or technical conditions.
Midterm Rule : Focuses on holding for longer periods, with defensive sell signals triggered when the stock deviates significantly from peak price or key moving averages.
40 Week Rule : Designed for long-term holds, this rule triggers a sell when the stock closes below the 40-week moving average.
Everest Rule : Aggressive strategy for selling into strength based on parabolic moves or gap downs, ideal for high momentum stocks.
Interactive Features:
Horizontal Green Line showing the buy price level from the buy date.
Visual Sell Signals appear only after the buy date to ensure that your analysis is relevant to the stock lifecycle.
Customizable settings, allowing you to choose your preferred sell rule strategy and automate buy date detection.
This script is perfect for traders using a strategic, systematic approach to IPOs and high-growth stocks, whether you're looking for quick exits during momentum phases or holding for longer-term growth.
Usage:
Input your Buy Price and Buy Date, or allow the script to automate the buy date detection.
Select a Sell Rule strategy based on your risk profile and trading style.
View visual signals for selling when specific conditions are met.
Frequently Asked Questions (FAQs):
Q1: How do I input my Buy Price and Buy Date?
The script allows you to either manually input the Buy Price and Buy Date or use the automated detection. If you choose automated detection, the script will automatically assign the buy date when the price crosses above your set Buy Price.
Q2: What is the purpose of the "Sell Rules"?
The script offers four sell strategies to help manage different types of stocks in varying phases of their lifecycle:
Ascender Rule: Targets IPO stocks showing positive momentum.
Midterm Rule: A defensive strategy for stocks in a steady uptrend.
40 Week Rule: Long-term hold strategy designed to ride stocks through extended growth.
Everest Rule: Aggressive strategy to capture profits during parabolic price moves.
Q3: What is the significance of the Green Line at Buy Price?
The Green Line represents your entry point (Buy Price) on the chart. It will appear from the buy date onwards, helping you track the performance of your stock relative to your entry.
Q4: Can I customize the Sell Strategy?
Yes! You can choose from the available Sell Rules (Ascender Rule, Midterm Rule, 40 Week Rule, Everest Rule) via an input option in the script. Each strategy has its own unique triggers based on price action, moving averages, and time-based conditions.
Q5: Does this script work for stocks and crypto?
Yes, this script is designed for both stocks and cryptocurrencies. It works on any asset where price data and timeframes are available.
Q6: How do the Weekly Moving Averages (WSMA) work in this strategy?
The script uses weekly moving averages (WSMA) to track longer-term trends. These are essential for some of the sell rules, such as the Midterm Rule and 40 Week Rule, which rely on the stock's movement relative to the 40-week moving average.
Q7: Will the script plot a Sell Signal immediately after the Buy Date?
No, sell signals will only be plotted after the Buy Date. This ensures that the sell strategy is relevant to your actual holding period and avoids premature triggers.
Q8: How do I interpret the Sell Signal?
The script will plot a Red Sell Signal above the bar when the sell conditions are met, based on the selected strategy. This indicates that it may be a good time to exit the position according to your chosen rule.
Q9: Can I use this strategy on different timeframes?
Yes, you can apply the script to any timeframe. However, some sell strategies, like the Midterm Rule and 40 Week Rule, are designed to work best with weekly data, so it's recommended to use these strategies with longer timeframes.
Q10: Does this script have any alerts?
Yes! The script supports alert conditions that will notify you when the sell conditions are met according to your selected rule. You can set up alerts to stay informed without needing to watch the chart constantly.
Q11: What if I want to disable some of the sell rules?
You can select your preferred sell rule using the "Select Sell Rule" dropdown. If you don’t want to use a particular rule, simply choose a different strategy or leave it inactive.
------------------------------
Disclaimer:
This strategy is intended for educational purposes only. It should not be considered financial advice. Always perform your own research and consult with a professional before making any trading decisions. Trading involves significant risk, and you should never trade with money you cannot afford to lose.
RSI and Bollinger Bands Screener [deepakks444]Indicator Overview
The indicator is designed to help traders identify potential long signals by combining the Relative Strength Index (RSI) and Bollinger Bands across multiple timeframes. This combination allows traders to leverage the strengths of both indicators to make more informed trading decisions.
Understanding RSI
What is RSI?
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. Developed by J. Welles Wilder Jr. for stocks and forex trading, the RSI is primarily used to identify overbought or oversold conditions in an asset.
How RSI Works:
Calculation: The RSI is calculated using the average gains and losses over a specified period, typically 14 periods.
Range: The RSI oscillates between 0 and 100.
Interpretation:
Key Features of RSI:
Momentum Indicator: RSI helps identify the momentum of price movements.
Divergences: RSI can show divergences, where the price makes a higher high, but the RSI makes a lower high, indicating potential reversals.
Trend Identification: RSI can also help identify trends. In an uptrend, the RSI tends to stay above 50, and in a downtrend, it tends to stay below 50.
Understanding Bollinger Bands
What is Bollinger Bands?
Bollinger Bands are a type of trading band or envelope plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a price. Developed by financial analyst John Bollinger, Bollinger Bands consist of three lines:
Upper Band: SMA + (Standard Deviation × Multiplier)
Middle Band (Basis): SMA
Lower Band: SMA - (Standard Deviation × Multiplier)
How Bollinger Bands Work:
Volatility Measure: Bollinger Bands measure the volatility of the market. When the bands are wide, it indicates high volatility, and when the bands are narrow, it indicates low volatility.
Price Movement: The price tends to revert to the mean (middle band) after touching the upper or lower bands.
Support and Resistance: The upper and lower bands can act as dynamic support and resistance levels.
Key Features of Bollinger Bands:
Volatility Indicator: Bollinger Bands help traders understand the volatility of the market.
Mean Reversion: Prices tend to revert to the mean (middle band) after touching the bands.
Squeeze: A Bollinger Band Squeeze occurs when the bands narrow significantly, indicating low volatility and a potential breakout.
Combining RSI and Bollinger Bands
Strategy Overview:
The strategy aims to identify potential long signals by combining RSI and Bollinger Bands across multiple timeframes. The key conditions are:
RSI Crossing Above 60: The RSI should cross above 60 on the 15-minute timeframe.
RSI Above 60 on Higher Timeframes: The RSI should already be above 60 on the hourly and daily timeframes.
Price Above 20MA or Walking on Upper Bollinger Band: The price should be above the 20-period moving average of the Bollinger Bands or walking on the upper Bollinger Band.
Strategy Details:
RSI Calculation:
Calculate the RSI for the 15-minute, 1-hour, and 1-day timeframes.
Check if the RSI crosses above 60 on the 15-minute timeframe.
Ensure the RSI is above 60 on the 1-hour and 1-day timeframes.
Bollinger Bands Calculation:
Calculate the Bollinger Bands using a 20-period moving average and 2 standard deviations.
Check if the price is above the 20-period moving average or walking on the upper Bollinger Band.
Entry and Exit Signals:
Long Signal: When all the above conditions are met, consider a long entry.
Exit: Exit the trade when the price crosses below the 20-period moving average or the stop-loss is hit.
Example Usage
Setup:
Add the indicator to your TradingView chart.
Configure the inputs as per your requirements.
Monitoring:
Look for the long signal on the chart.
Ensure that the RSI is above 60 on the 15-minute, 1-hour, and 1-day timeframes.
Check that the price is above the 20-period moving average or walking on the upper Bollinger Band.
Trading:
Enter a long position when the criteria are met.
Set a stop-loss below the low of the recent 15-minute candle or based on your risk management rules.
Monitor the trade and exit when the RSI returns below 60 on any of the timeframes or when the price crosses below the 20-period moving average.
House Rules Compliance
No Financial Advice: This strategy is for educational purposes only and should not be construed as financial advice.
Risk Management: Always use proper risk management techniques, including stop-loss orders and position sizing.
Past Performance: Past performance is not indicative of future results. Always conduct your own research and analysis.
TradingView Guidelines: Ensure that any shared scripts or strategies comply with TradingView's terms of service and community guidelines.
Conclusion
This strategy combines RSI and Bollinger Bands across multiple timeframes to identify potential long signals. By ensuring that the RSI is above 60 on higher timeframes and that the price is above the 20-period moving average or walking on the upper Bollinger Band, traders can make more informed decisions. Always remember to conduct thorough research and use proper risk management techniques.
Volume Spike LevelsThis trading indicator finds specific high volume patterns that we have found to be the most likely to act as strong support and resistance levels and plots them on the chart. Using those high probability levels, the indicator will show lines in real time, as well as lines and important zones at the beginning of higher time frames to give you specific levels and areas where price is likely to react.
The most important volume zone for each time frame will have a color fill between the top and bottom lines of that high probability zone so you know to pay extra close attention to that area and look for price reactions there. If you can be patient enough to wait for price to hit these important areas and start to reverse, you will get great entries and help keep yourself from overtrading.
The levels shown can be adjusted to suit your preference, allowing you to get the right amount of levels for your trading strategy, whether that be scalping the 1 minute chart or long term investing via the daily chart.
HOW TO USE
For best results with this indicator, look for 2 types of setups. The first setup is a continuation bounce. You should be looking for these when price has broken out of its recent trading range either to the upside or the downside. When price is extending like this, look to take entries once a volume spike level shows up on the chart and price retraces back to that level. Then take your entry in the same direction as the trend. You can scalp quick wins this way, or you can wait for the next volume spike level to show up and price can’t hold that level any more, then get out. Place your stop loss just beyond the pivot that bounced off of the volume level.
The second type of setup you should look for is a reversal setup. This setup should be used when the market is ranging. Look for the top and bottom of the recent range and find the volume spike levels near the top or bottom of that range and wait for price to reach those levels. Once price hits that level and starts to show a reversal in price, take your entry. You can take quick scalps from those reversals for quick wins, or you can wait for price to reach the next major volume spike level and get out there or just before it. Place your stop loss just beyond the pivot that price made at the volume spike level where you entered your trade.
No matter which setup you are trading, it is never a bad idea to trail your stop loss as price moves towards your take profit level. Whatever volume spike timeframes you are using for your overall trend, you can use a lower time frame volume spike level to give you price points to trail your stop loss to there once price gets supportive at those levels and moves past them.
You should also pay close attention to how price reacts to the important volume zones shown. Many times, price will range inside or near these zones for a while and then form an accumulation just above or below that zone. When this happens, it is likely that price will start to move quickly in the direction that price moved away from that important zone. So when you see the price range inside of these zones and then go just beyond the zone on either side and accumulate, look to trade that breakout of the zone in the same direction that it moved away from the zone.
Note that on lower time frame charts, you will not be able to get some higher time frame levels because Tradingview limits the number of historical bars it can calculate on. So if you are on the 1-5 minute chart, you won’t be able to get yearly or quarterly levels late in the year/quarter due to the number of bars it has to calculate for those levels to populate is beyond the number of allowed bars. You can work around this by manually going to the daily chart and getting the yearly levels and drawing a horizontal line on your chart at the levels shown so that you still have those levels on your lower time frame charts. Unfortunately there is no way for us to work around this with code.
Each setting in the settings panel has a tooltip that will explain that specific setting so you understand how to use it. Just hover your mouse over the “i” icon and it will show a popup with the info. For the non-real time levels, the daily level settings will have the tooltips explaining everything and that info applies to all of the non-real time levels.
MODES
The indicator has two different modes you can use that will affect how the real time levels show up on your chart but will not affect the higher time frame levels. The default mode will give you static horizontal lines only. This means that when a high probability volume spike level comes in, a horizontal line will be drawn and will extend as long as the timeframe that the level is set to. For example a 60 minute volume spike time frame will extend the line for 60 minutes on the chart and then end. These lines will be drawn individually and will not update.
The second mode will give you variable lines and will show a color fill based on where price is in relation to all of the real time levels that are turned on. So if the price is above a level, it will color the background green and if the price is below a level, it will color the background red. This helps identify the trend of price compared to where the high probability volume spike levels came in so you can trade in the direction of the trend. With this mode, the lines for each time frame will update to the new level when a new volume spike for that time frame happens.
ALERTS
The indicator has alerts programmed for each different type of volume spike level that is available to add to your chart. So you can set an alert for when a new volume spike happens on any of the real time volume spike time frames, when price crosses the most recent real time volume spike level for each time frame, alert when any real time volume spike happens, alert when price crosses any of the higher time frame volume levels and also when price has crossed the upper or lower level of any of the important volume zones. Each alert is labeled the same as in the indicator settings so you can easily select which one you want.
For alerts to work properly, you have to have the levels turned on for whatever alerts you use. For example if you want an alert for Realtime 2 Volume Spikes, the Realtime 2 Volume Spike Levels must be turned on and shown on your chart.
Note that when using the alerts for price crossing a level, it will only alert when price crosses the most recent volume spike level. It will not alert when price crosses a previous level of the same time frame.
CUSTOMIZATION
You can customize nearly every feature of this indicator to tailor it to your specific trading style. Some of the customizable features are as follows: turn on or off labels for each time frame, turn on or off the color fills for important volume zones for each time frame, turn on or off the levels for each time frame, adjust the number of previous levels shown for each time frame, change the length of the lines for each time frame, extend the lines right for each time frame, change the color of the lines for each time frame, adjust the color fill colors for important volume zones, adjust the label colors and adjust the label offset length.
We also included some master settings to allow you to control various settings across all time frames with one click. These settings are as follows: turn on or off all labels, turn on or off all realtime levels, remove all lines except the most important volume zone on every time frame, turn on or off all color fills of important zones, adjust the background color fill of the trend coloring when set to variable lines and adjust the background color of all important zones.
There is also a feature that may need to be adjusted when you are looking at charts that do not have a lot of historical data. It will say the index is out of bounds, so look at the index number that the error shows by hovering over the red exclamation point next to the indicator name and adjust the setting labeled “Bar Index Threshold To Fix Errors” to a number that is slightly higher than the index number in the error message. This will fix the error by changing the calculations slightly to adjust for the bar indexes of that specific chart.
MARKETS IT CAN BE USED ON
This indicator can be used on any market that has volume data, including stocks, crypto, futures, forex and more.
TIME FRAMES IT CAN BE USED ON
This indicator has been programmed to work on the following time frames: 15 seconds, 30 seconds, 1 minute, 2 minute, 3 minute, 4 minute, 5 minute, 10 minute, 15 minute, 30 minute, 45 minute, 1 hour, 2 hour, 3 hour, 4 hour, 6 hour, 8 hour, 12 hour, 1 day, 2 day, 3 day, 1 week, 2 week, 1 month, 3 month and 1 year.
If you use a different time frame than shown above, you may get errors or irregular results, so please stick to the time frames that the trading indicator has been programmed to work correctly with.
Candlestick Strength and Volatility ReadoutDisplays a readout on the top right corner of the screen displaying a two basic calculations (volatility and strength; i.e. candlestick size and how close to the highs or lows it closed) for more convenient candlestick (price action) analysis.
Due to restrictions with Pine Script (or my knowledge thereof) only the current and previous candlestick data is shown, rather than the one currently hovered over.
The data is derived via two simple calculations; volatility being division between the range of the candlestick's high and low by the ATR; 'strength' (what I like to call it) being the range of the body by the range of the open to high or low, depending on the facing direction (positive or negative candlestick). These are expressed as percentages and will turn green depending on the set threshold.
Using this, one can effectively automate calculations you'd have to do by hand otherwise. I personally use these as entry filters in my trading, so it helps to not have to measure, remeasure, and divide before each potential entry.
Settings are implemented to change certain variables to your liking.
PSP Indicator [Elbaz]Precision Swing Point or PSP is a unique technical analysis tool designed to compare the price action of three tickers that are in sync.
It highlights moments when the price structure diverges between the markets, identifying ideal entry points for trades - We would like to enter a trade when we found PSP and one of the tickers took the wick while others didn't.
This strategy provides an edge by focusing on periods of desynchronization between the indices, where one index may be showing strength while another is lagging. The idea is to find the moments where the candle colors (bullish or bearish) differ across the markets, then wait for one of the tickers to "take" the wick of the PSP while other didn't and enter a trade.
Once a divergence is detected, the indicator plots an arrow on the chart, signaling a potential trade entry. To minimize risk, a good place to put stop loss will at the end of the wick of the PSP — the high or low wick of the candle where the divergence occurs.
The PSP Indicator allows for several custom inputs:
- Tickers: Customize the tickers to compare. The default values are S&P 500 E-mini, NASDAQ E-mini, and Dow Jones E-mini, if you trade Crypto you might want to use BTC, ETH, TOTAL3.
- Lookback Period: The lookback input defines how far back the indicator should evaluate to calculate the price structure point.
- Highlight Bar Times: Users can specify particular times during the trading day to highlight, such as the market open or significant news events. This helps traders focus on key trading windows.
Silver Bullet ICT Strategy [TradingFinder] 10-11 AM NY Time +FVG🔵 Introduction
The ICT Silver Bullet trading strategy is a precise, time-based algorithmic approach that relies on Fair Value Gaps and Liquidity to identify high-probability trade setups. The strategy primarily focuses on the New York AM Session from 10:00 AM to 11:00 AM, leveraging heightened market activity within this critical window to capture short-term trading opportunities.
As an intraday strategy, it is most effective on lower timeframes, with ICT recommending a 15-minute chart or lower. While experienced traders often utilize 1-minute to 5-minute charts, beginners may find the 1-minute timeframe more manageable for applying this strategy.
This approach specifically targets quick trades, designed to take advantage of market movements within tight one-hour windows. By narrowing its focus, the Silver Bullet offers a streamlined and efficient method for traders to capitalize on liquidity shifts and price imbalances with precision.
In the fast-paced world of forex trading, the ability to identify market manipulation and false price movements is crucial for traders aiming to stay ahead of the curve. The Silver Bullet Indicator simplifies this process by integrating ICT principles such as liquidity traps, Order Blocks, and Fair Value Gaps (FVG).
These concepts form the foundation of a tool designed to mimic the strategies of institutional players, empowering traders to align their trades with the "smart money." By transforming complex market dynamics into actionable insights, the Silver Bullet Indicator provides a powerful framework for short-term trading success
Silver Bullet Bullish Setup :
Silver Bullet Bearish Setup :
🔵 How to Use
The Silver Bullet Indicator is a specialized tool that operates within the critical time windows of 9:00-10:00 and 10:00-11:00 in the forex market. Its design incorporates key principles from ICT (Inner Circle Trader) methodology, focusing on concepts such as liquidity traps, CISD Levels, Order Blocks, and Fair Value Gaps (FVG) to provide precise and actionable trade setups.
🟣 Bullish Setup
In a bullish setup, the indicator starts by marking the high and low of the session, serving as critical reference points for liquidity. A typical sequence involves a liquidity grab below the low, where the price manipulates retail traders into selling positions by breaching a key support level.
This movement is often orchestrated by smart money to accumulate buy orders. Following this liquidity grab, a market structure shift (MSS) occurs, signaled by the price breaking the CISD Level—a confirmation of bullish intent. The indicator then highlights an Order Block near the CISD Level, representing the zone where institutional buying is concentrated.
Additionally, it identifies a Fair Value Gap, which acts as a high-probability area for price retracement and trade entry. Traders can confidently take long positions when the price revisits these zones, targeting the next significant liquidity pool or resistance level.
Bullish Setup in CAPITALCOM:US100 :
🟣 Bearish Setup
Conversely, in a bearish setup, the price manipulates liquidity by creating a false breakout above the high of the session. This move entices retail traders into long positions, allowing institutional players to enter sell orders.
Once the price reverses direction and breaches the CISD Level to the downside, a change of character (CHOCH) becomes evident, confirming a bearish market structure. The indicator highlights an Order Block near this level, indicating the origin of the institutional sell orders, along with an associated FVG, which represents an imbalance zone likely to be revisited before the price continues downward.
By entering short positions when the price retraces to these levels, traders align their strategies with the anticipated continuation of bearish momentum, targeting nearby liquidity voids or support zones.
Bearish Setup in OANDA:XAUUSD :
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Silver Bullet Indicator is a cutting-edge tool designed specifically for forex traders who aim to leverage market dynamics during critical liquidity windows. By focusing on the highly active 9:00-10:00 and 10:00-11:00 timeframes, the indicator simplifies complex market concepts such as liquidity traps, Order Blocks, Fair Value Gaps (FVG), and CISD Levels, transforming them into actionable insights.
What sets the Silver Bullet Indicator apart is its precision in detecting false breakouts and market structure shifts (MSS), enabling traders to align their strategies with institutional activity. The visual clarity of its signals, including color-coded zones and directional arrows, ensures that both novice and experienced traders can easily interpret and apply its findings in real-time.
By integrating ICT principles, the indicator empowers traders to identify high-probability entry and exit points, minimize risk, and optimize trade execution. Whether you are capturing short-term price movements or navigating complex market conditions, the Silver Bullet Indicator offers a robust framework to enhance your trading performance.
Ultimately, this tool is more than just an indicator; it is a strategic ally for traders who seek to decode the movements of smart money and capitalize on institutional strategies. With the Silver Bullet Indicator, traders can approach the market with greater confidence, precision, and profitability.
Momentum Flow OscillatorIndicator Overview: Momentum Flow Oscillator (MFO)
The Momentum Flow Oscillator (MFO) is a powerful tool for detecting shifts in market momentum. It combines a momentum-based calculation with a dynamic ribbon of moving averages to help traders identify trend reversals, continuations, and market consolidations. The MFO offers a clear visual representation of market conditions and assists traders in making informed decisions based on the relationship between momentum and its underlying trends.
The MFO line (green) is plotted alongside a Base Line (black) and a series of moving averages (ribbon). The ribbon is composed of five moving averages of different lengths, which allow traders to spot trends, momentum shifts, and potential trade opportunities. It is important to note that the ribbon tends to be a slower-moving component of the indicator, providing long-term trend signals rather than quick, reactive signals.
Components of the Indicator:
Momentum Flow Index (MFI):
This green line is the core of the indicator, representing market momentum derived from price and volume action. It reacts to changes in market dynamics and helps identify periods of strength and weakness.
Base Line (Black Line):
The black line is a 200-period moving average of the momentum flow. This acts as a dynamic support/resistance level for the MFI, smoothing out the price action over a longer period and providing a clearer trend signal.
Moving Averages Ribbon:
The ribbon is composed of five moving averages with different periods (100, 125, 150, 175, and 200). These moving averages create a visual "ribbon" that helps identify trends and consolidations, allowing traders to visualize the market’s momentum over different time frames.
The ribbon acts as a slower-moving indicator, helping to confirm long-term trends. Traders should keep in mind that the ribbon provides signals with a lag, making it ideal for trend-following rather than quick, short-term trades.
How to Use the Momentum Flow Oscillator (MFO):
1. Bullish Momentum Signals:
When the MFI (green line) crosses above the Base Line and the SMA ribbon, it indicates increasing momentum in the market. This signal is particularly strong when the MFI stays above the ribbon for an extended period.
Trade Example: Traders can use this as a buy signal when the MFI crosses above the ribbon, indicating that momentum is shifting to the upside. If the ribbon starts fanning out, it suggests the market is trending strongly upward, which may support a long position.
2. Bearish Momentum Signals:
When the MFI crosses below the Base Line and the SMA ribbon, it signals decreasing momentum. This is a bearish sign, indicating that the market may be preparing for a downturn.
Trade Example: A trader can use the cross below the ribbon as a sell signal or consider entering a short position when momentum weakens. If the ribbon fans out in a downward direction, it suggests the market is trending lower, and a short position may be warranted.
3. Neutral or Caution Signals:
When the MFI fluctuates within the SMA ribbon or crosses in and out frequently, the market may be in a consolidation phase or range-bound. In this situation, the trend is uncertain, and momentum is not strong enough to break decisively in either direction.
Trade Example: Traders may want to avoid taking new positions when the MFI is moving sideways within the ribbon, as this indicates indecision in the market. Waiting for a breakout above or below the ribbon can provide clearer signals for trading.
4. Trend Confirmation with Ribbon Expansion:
When the SMA ribbon expands, it indicates strong momentum in the direction of the trend. A clear widening of the ribbon with the MFI above (bullish) or below (bearish) signals a strong, sustainable trend.
Trade Example: As the ribbon expands, it confirms the strength of the trend, and traders can use this as confirmation to either hold an existing position or add to it.
5. Reversal Signals from Ribbon Contraction:
When the SMA ribbon contracts or the MFI crosses back and forth over the Base Line, it signals a potential reversal or a weakening of the existing trend.
Trade Example: In these cases, traders might consider closing positions or preparing for a reversal, as the contraction often signals a potential breakout in the opposite direction.
Example of Using the MFO in Trading:
In the provided chart image, you can see the MFI moving below the Base Line and the SMA ribbon for an extended period. This indicates bearish momentum, and traders could use this signal to enter a short position or avoid long positions until the MFI shows signs of crossing back above the ribbon. When the MFI crosses above the ribbon, it can signal a potential bullish reversal, indicating it might be time to re-enter long positions or close short positions.
Additional Trading Tips:
Combine with Other Indicators: The MFO can be used in combination with other technical tools such as volume-based indicators, trendlines, or oscillators like RSI or MACD to confirm signals and increase accuracy.
Use Different Time Frames: Traders can apply the MFO on different time frames (e.g., daily, weekly) to capture both short-term and long-term trends. Crossovers in longer time frames provide stronger confirmation of trend direction.
Conservative Entry: For more conservative traders, waiting for the MFI to fully cross above or below the ribbon (rather than within it) can help filter out false signals and avoid entering trades during consolidation phases.
Conclusion:
The Momentum Flow Oscillator offers traders a versatile and visual approach to gauging market momentum and trend strength. By observing the interaction between the MFI and the SMA ribbon, traders can spot trend changes early, confirm existing trends, and stay out of choppy, sideways markets. Keep in mind that the ribbon is a slower-moving part of the indicator—perfect for trend-following strategies but less ideal for fast, reactive trades. Use this indicator to increase your confidence in your trading decisions and improve your ability to capture trends in the market.
Risk Matrix [QuantraSystems]Risk Matrix
The Risk Matrix is a sophisticated tool that aggregates a variety of fundamental inputs, primarily external (non-crypto) market data is used to assess investor risk appetite. By combining external macroeconomic factors and proxies for liquidity data with specific signals from the cryptomarket - the Risk Matrix provides a holistic view of market risk conditions. These insights are designed to help traders and investors make informed decisions on when to adopt a risk-on or risk-off approach.
Core Concept
The Risk Matrix functions as a dynamic risk assessment tool that integrates both fundamental and technical market indicators to generate an aggregated Z-score. This score helps traders to identify where the market is in a risk-off or risk-on state, The system provides both binary risk signals and a more nuanced “risk seasonality” mode for deeper analysis.
Key Features
Global Liquidity Aggregate - The Liquidity score is a custom measure of global liquidity, built by combining a variety of traditional financial metrics. These include data from central bank balance sheets, reverse repo operations and credit availability. This data is sourced from organizations such as the U.S. Federal Reserve, the European Central Bank, and the People’s Bank of China. The purpose of this aggregate is to gauge how much liquidity is available in the global financial system - which often correlates with risk sentiment. Rising liquidity tends to boost risk-on appetite, while liquidity contractions signal increased caution (risk-off) in the markets. The data sources used in this global liquidity aggregate include:
- U.S. Commercial Bank Credit data
- Federal Reserve balance sheet and reverse repo operations
- Liquidity from major central banks including the Fed, Bank of Japan, ECB, and PBoC
- Asset performance from major global financial indices such as the S&P 500, TLT, DXY (U.S. Dollar Index), MOVE (bond market volatility), and commodities like gold and oil.
Other key Z-scores (measured individually) - The Risk Matrix also incorporates other major Z-scores that represent different facets of the financial markets:
- Collateral Risk - A measure of US bond volatility, where higher values indicate higher interest rate risk - leading to potential market instability and cautious market behaviors.
- Stablecoin Dominance - The dominance of stablecoins in the crypto markets - which can signal risk aversion the total capital allocated to stables increases relative to other cryptocurrencies.
- US Currency Strength - The U.S. Dollar Index Z-score reflects currency market strength, with higher values typically indicating risk aversion as investors sell more volatile assets and flock to the dollar.
- Trans-pacific Monetary Bias - Signals capital flow and monetary trends that link between the East and West, heavily influencing global risk sentiment.
- Total - A measure of the total cryptocurrency market cap, signaling broader risk sentiment with the crypto market.
Neural Network Synthesis - The NNSYNTH component adds a machine learning inspired layer to the Risk Matrix. This custom indicator synthesizes inputs from various technical indicators (such as RSI, MACD, Bollinger Bands, and others) to generate a composite signal that reflects the health of the cryptomarket. While highly complex in its design, the NNSYNTH ultimately helps detect market shifts early by synthesizing multiple signals into one cohesive output. This score is particularly useful for gauging momentum and identifying potential turning points in market trends. Because the NNSYNTH is a closed source indicator, and it is included here, the Risk Matrix by extension is a closed source indicator.
How it Works
Z-score Aggregation - The Risk Matrix computes a final risk score by aggregating several Z-scores from different asset classes and data sources, all of which contribute proportionally to the overall market risk assessment. Each input is equally weighted - normalization allows for direct comparisons across global liquidity trends, currency fluctuations, bond market volatility and crypto market conditions. Furthermore, this system employs multi-calibration aggregation - where each individual matrix is itself an aggregate of multiple Z-scores derived from various timeframes. This ensures that each matrix captures a distinct average across different time horizons before being combined into the overall Risk Matrix. This layered, multi timeframe approach enhances the precision and robustness of the final Z-score.
Risk-On / Risk-Off Mode - The system’s binary mode provides a clear Risk On and Off signal. This nature of this signal is determined by the behavior of the Z-score relative to the midline, or Standard Deviation Bands, depending on specific conditions:
Risk-On is signaled when the aggregated final Z-score crosses above 0. However, in extreme oversold conditions, Risk-On can trigger early if the upper standard deviation band falls below the zero line. In such cases, the Risk-On signal is triggered when the z-score crosses the upper standard deviation band - without waiting to cross the midline.
Risk-Off is signaled when the final Z-score moves below 0. Similarly, Risk-Off can also be triggered early if the lower standard deviation band rises above the midline. In this instance, Risk-Off is triggered when the Z-score crosses below the lower band.
Risk Seasonality Mode - This mode offers a more gradual transition between risk states, measuring the change in the Z-score to visualize the shifts in risk appetite over time. It's useful for traders seeking to understand broader market cycles and risk phases. The seasonality view breaks down the market into the following phases:
Risk-On - High risk appetite where risk/cyclical markets are generally bullish.
Weakening - Markets showing signs of cooling off, here the higher beta assets tend to sell off first.
Risk-Off - Investors pull back, and bearish sentiment prevails.
Recovery - Signs of bottoming out, potential for market re-entry.
Component Matrices - Each individual Z-score is visualized as part of the component matrices - scaled to a 3 Sigma range. These component matrices allow traders to view how each data source is contributing to the overall risk assessment in real time - offering transparency and granularity.
Visuals and UI
Main Risk Matrix - The aggregated Z-Score is displayed saliently in the main risk matrix. Traders and investors can quickly see what season the Risk Matrix is signaling and adjust their strategies accordingly.
Overview Table - A detailed overview table shows the current confirmed Z-scores for each component, along with values from 2, and 3 bars back. This helps traders spot trends and the rate of change (RoC) between signals, offering additional insights for shorter-term risk management.
Customizability - Users can customize the visual elements of the matrix, including color palettes, table sizes, and positions. This allows for optimal integration into any trader’s existing workspace.
Usage Summary
The Risk Matrix is an incredibly versatile tool. It is especially valuable as a means of achieving a cross-market view of risk, incorporating both crypto-specific and macroeconomic factors. Some key use cases include:
Adjusting Capital Allocation Based on Risk Seasons - Traders can use the Risk Matrix to adjust their capital allocation dynamically. During Risk-On periods, they might increase exposure to long positions, capitalizing on stronger market conditions. Conversely, during Risk-Off periods, traders could reduce or hedge long positions and potentially scale up short positions or move into safer assets.
Complementing Other Trading Systems - The Risk Matrix can work alongside other technical systems to provide context to market moves. For instance, a trend-following strategy might suggest an entry, but the Risk Matrix could be used to verify whether the broader market conditions support this trade. If the Matrix is in a Risk-Off period, a trader might opt for more conservative trade sizes or avoid the trade entirely.
This flexibility allows traders to adjust their strategies and portfolio risk dynamically, enhancing decision making based on broader market conditions - as indicated by external macroeconomic factors, liquidity, and risk sentiment.
Important Note
The Risk Matrix always uses the most up-to-date data available, ensuring analysis reflects the latest market conditions and macroeconomic inputs. In rare cases, governments or financial institutions revise past data - and the Risk Matrix will adjust accordingly. This behavior can only be seen in the Liquidity Matrix. and can affect the final score. While this is uncommon, it highlights the benefit of using a system that adapts in real-time, incorporating the most accurate and current information to enhance decision making processes.
Comprehensive Market Overview1. What is this indicator about?
The "Comprehensive Market Overview" indicator provides a holistic view of the market by incorporating several key metrics:
Close Price: Displays the current close price below each candle.
Percent from All-Time High: Calculates how far the current close price is from the highest high observed over a specified period.
RSI (Relative Strength Index): Measures the momentum of price movements to assess whether a stock is overbought or oversold.
Volume Gain: Computes the current volume relative to its 20-period simple moving average (SMA), indicating volume strength or weakness.
Volatility: Quantifies market volatility by calculating the ratio of the Bollinger Bands' width (difference between upper and lower bands) to the SMA.
2. How it works?
Close Price Label: This label is displayed below each bar, showing the current close price.
Percent from All-Time High: Calculates the percentage difference between the highest high observed (all-time high) and the current close price.
RSI Calculation: Computes the RSI using a 14-period setting, providing insight into whether a stock is potentially overbought or oversold.
Volume Strength: Computes the current volume divided by its 20-period SMA, indicating whether volume is above or below average.
Volatility Calculation: Calculates the width of the Bollinger Bands (based on a 20-period SMA and 2 standard deviations) and expresses it as a percentage of the SMA, providing a measure of market volatility
3.Correct Trend Identification with Indicators
All-Time High (ATH) Levels:
Low Value (Near ATH): When the percent from ATH is low (close to 0%), it indicates that the current price is near the all-time high zone. This suggests strong bullish momentum and potential resistance levels.
High Value (Below ATH): A high percentage from ATH indicates how much the current price is below the all-time high. This could signal potential support levels or opportunities for price recovery towards previous highs.
RSI (Relative Strength Index):
Overbought (High RSI): RSI values above 70 typically indicate that the asset is overbought, suggesting a potential reversal or correction in price.
Oversold (Low RSI): RSI values below 30 indicate oversold conditions, suggesting a potential rebound or price increase.
Swing Trading Strategies
Confirmation with Visual Analysis: Visualizing the chart to confirm ATH levels and RSI readings can provide strong indications of market sentiment and potential trading opportunities:
Bullish Signals: Look for prices near ATH with RSI confirming strength (not yet overbought), indicating potential continuation or breakout.
Bearish Signals: Prices significantly below ATH with RSI showing weakness (not yet oversold), indicating potential for a bounce or reversal.
Volume Confirmation: Comparing current volume to its SMA helps confirm the strength of price movements. Higher current volume relative to the SMA suggests strong price action.
Volatility Assessment: Monitoring volatility through the Bollinger Bands' width ratio helps assess potential price swings. Narrow bands suggest low volatility, while wide bands indicate higher volatility and potential trading opportunities.
4.Entry and Exit Points:
Entry: Consider entering long positions near support levels when prices are below ATH and RSI is oversold. Conversely, enter short positions near resistance levels when prices are near ATH and RSI is overbought.
Exit: Exit long positions near resistance or ATH levels when prices show signs of resistance or RSI becomes overbought. Exit short positions near support levels or when prices rebound from oversold conditions.
Risk Management: Always incorporate risk management techniques such as setting stop-loss orders based on support and resistance levels identified through ATH and RSI analysis.
Implementation Example
Institutional Liquidity and Price Action Concepts [AlgoAlpha]🚀 Introducing the Institutional Liquidity and Price Action Concepts™ (ILPAC) , a comprehensive toolkit developed by AlgoAlpha as part of our Premium Collection. This All-in-One indicator offers a robust approach to understanding price action and liquidity, empowering traders with hyper customizable features to tailor their analysis to their specific trading strategies.
Designed with efficiency and compactness in mind, the script shows Price action and liquidity through four methods: Market Structure , Liquidity Heatmap , Trend Lines , and FOMO Bubbles . Additionally, the script also includes a fully customizable interface, to match each individual's trading style. By utilizing a blend of advanced algorithms and customizable parameters, Institutional Liquidity and Price Action Concepts™ (ILPAC) provides traders with a vast array of trading strategies ranging from high frequency scalping to timing better entries on long-term swing and investing positions.
The ILPAC ™ can be used with or without other AlgoAlpha Premium Collection indicators as this indicator has been designed to be able to act as a standalone toolkit.
Let's delve into the key features and functionalities of this versatile indicator:
🎯 Key Features (summary):
Market Structure Analysis :
Customizable time-horizon
BOS confirmation methods
Adjustable CHoCH/BOS line styles
Swing point highlighting
Color customization
Liquidity Heatmap:
Configurable look-back period
Adjustable resolution
Customizable scale colors
Trend Lines :
Look-back period settings
Noise filter factor
Trend line signals with color options
FOMO Bubbles :
Configurable look-back period
Adjustable noise filter factor
Customizable bubble colors
🎯 Key Features (in-depth):
The Market Structure component within ILPAC ™ shows the underlying trend of the market using swing high and lows and is purely price action based. Higher Highs(HH), Higher Lows(HL) labels generally indicate an uptrend and Lower Highs(LH) and Lower Lows(LL) indicate a downtrend. The trend of the market is also determined by Change of Characters (CHoCH) and Break of Structure patterns (BOS). The Market Structure component marks out all these automatically and colours the bars on your chart for easy visualisation of trend.
The Liquidity Heatmap component within ILPAC ™ visualizes areas of high and low liquidity in the market. It identifies zones where liquidity is concentrated not only at specific price levels but also over time, giving the user a 3 Dimensional view of liquidity. The heatmap colours represent different levels of liquidity, making it easy to see where large volumes of orders may exist. This component helps traders understand the liquidity landscape and make informed decisions based on potential support and resistance levels.
The Trend Lines component within ILPAC ™ automatically draws trend lines based on historical price data. It identifies significant highs and lows, connecting them to form trend lines that highlight the overall market direction as well as give breakout signals as shown in the image below. The component also includes a noise filter to reduce false signals and ensure only valid trend breakouts are displayed. Customizable colour settings allow traders to personalize the visual representation of trend lines on their charts.
The FOMO Bubbles component within ILPAC ™ identifies periods of market activity driven by Fear of Missing Out (FOMO). By analysing price action and volume, it highlights bubbles where traders are likely entering positions impulsively. These bubbles are displayed on the chart with customizable colours, providing a visual cue for potential overbought or oversold conditions. This component helps traders recognize and potentially capitalize on market exuberance or panic.
🎯Usage Examples:
At its core, the components within ILPAC ™ were designed to operate with each other as a form of confluence and robust analysis. Typically, Price action components such as the Market Structure and Trend Lines can be used for entries while the Liquidity components like FOMO Bubbles and the Heatmap can be used to find exit points. Here are some examples of how they can be used.
Trend Trading
Using the Market Structure component, enter a trade during a CHoCH and set TP at key areas of liquidity using the heatmap. Users can also choose to enter into a BOS which is an indication of a trend continuation.
Reversal Trading
Using the Liquidity Heatmap to find areas of liquidity for possible reversals, wait for a rejection from a liquidity zone and use the Trend Line Breakout signals as confluence for an entry. Exits can be set at liquidity zones or using FOMO Bubbles as take profit signals.
(These are just examples for reference, the ILPAC ™ offers significantly more possibilities for customisation and fine tuning of your trading strategy.)
🎯Conclusion:
The Institutional Liquidity and Price Action Concepts™ (ILPAC) indicator by AlgoAlpha is a powerful tool for traders, offering in-depth market insights through its Market Structure, Liquidity Heatmap, Trend Lines, and FOMO Bubbles components. By integrating Price Action based analysis with Liquidity analysis, ILPAC ™ boasts a superior design for the confluence between its components, using Price Action components for entry opportunities and Liquidity based components for exit opportunities. With its highly customizable settings, this indicator caters to all trading styles, from scalping to long-term investing. By providing clear visualizations and automatic trend and liquidity detection, ILPAC ™ empowers traders to make informed decisions, enhancing their trading strategies and improving overall market understanding.
