TJR's BOS strategyBreak of Structure (BOS) Indicator: TJR version
This Break of Structure (BOS) Indicator helps you identify key market shifts by highlighting breaks in market structure. It uses price action to spot significant swing highs and swing lows and draws horizontal lines that extend to the right whenever a BOS occurs.
Features:
Real-Time Updates: The indicator continuously updates in real time, marking BOS points as they occur.
BOS Lines:
Bullish Break of Structure (BOS): Occurs when the price closes above a previously established high.
Bearish Break of Structure (BOS): Occurs when the price closes below a previously established low.
Customizable: Easily change the color and line length of the BOS markers to suit your charting preferences.
Max Lines Control: Limit the number of BOS lines shown in both upward and downward directions to keep the chart clean.
Visual Clarity: Lines are drawn directly on the high or low levels, marking clear BOS zones on the chart for easy identification.
How to Use:
BOS Up: A bullish BOS is marked when the price closes above a previously marked high.
BOS Down: A bearish BOS is marked when the price closes below a previously marked low.
Trend Direction: This indicator can be particularly useful for traders following trend continuation or reversal strategies, as BOS points represent key areas where market sentiment shifts.
Custom Settings:
Change the color of BOS lines for better visibility.
Adjust the maximum number of BOS lines to display.
Indicators and strategies
MACD-V with Volatility Normalisation [DCD]MACD-V with Volatility Normalisation
This indicator is a modified version of the traditional MACD, designed to account for market volatility by normalizing the MACD line using the Average True Range (ATR). It provides a more adaptive approach to identifying momentum shifts and potential trend reversals. This indicator was developed by Alex Spiroglou in this paper:
Spiroglou, Alex, MACD-V: Volatility Normalised Momentum (May 3, 2022).
Features:
Volatility Normalization: The MACD line is adjusted using ATR to standardize its values across different market conditions.
Customizable Parameters: Users can adjust the MACD fast length, slow length, signal line smoothing, and ATR length to suit their trading style.
Histogram Visualization: The histogram highlights the difference between the MACD and signal lines, with customizable colors for positive and negative momentum.
Crossover Signals: Green and red dots indicate bullish and bearish crossovers between the MACD and signal lines.
Background Highlighting: The chart background changes to green when the MACD is above 0 and red when it is below 0, providing a clear visual cue for bullish and bearish conditions.
Horizontal Levels: Dotted horizontal lines are plotted at key levels for better visualization of MACD values.
How to Use:
Look for crossovers between the MACD and signal lines to identify potential buy or sell signals.
Use the histogram to gauge the strength of momentum.
Pay attention to the background color for quick identification of bullish (green) or bearish (red) conditions.
This indicator is ideal for traders who want a more dynamic MACD that adapts to market volatility. Customize the settings to align with your trading strategy and timeframe.
Real Open/Close Ticks for Heiken Ashi CandlesJapanese candle open and close prices. Good if you're using a HeikenAshi chart and you want to see real opens and closes.
Multi-Symbol Trend DashboardMulti-Symbol Trend Dashboard - MA Cross Trend Monitor
Short Description
A customizable dashboard that displays trend direction across multiple symbols and timeframes using moving average crossovers.
Full Description
Overview
This Multi-Symbol Trend Dashboard allows you to monitor trend direction across 7 different symbols and 5 timeframes simultaneously in a single view. The dashboard uses moving average crossovers to determine trend direction, displaying bullish trends in green and bearish trends in red.
Key Features
Multi-Symbol Monitoring : Track up to 7 different trading instruments at once
Multi-Timeframe Analysis: View 5 different timeframes simultaneously for each instrument
Customizable Moving Averages: Choose between SMA, EMA, or WMA with adjustable periods
Visual Clarity: Color-coded cells provide immediate trend identification
Flexible Positioning: Place the dashboard anywhere on your chart
Customizable Appearance: Adjust sizes, colors, and text formatting
How It Works
The dashboard calculates a fast MA and slow MA for each symbol-timeframe combination. When the fast MA is above the slow MA, the cell shows green (bullish). When the fast MA is below the slow MA, the cell shows red (bearish).
Use Cases
Get a bird's-eye view of market trends across multiple instruments
Identify potential trading opportunities where multiple timeframes align
Monitor your watchlist without switching between charts
Spot divergences between related instruments
Track market breadth across sectors or related instruments
Notes and Limitations
Limited to 7 symbols and 5 timeframes due to TradingView's security request limits
Uses simple MA crossover as trend determination method
Dashboard is most effective when displayed on a dedicated chart
Performance may vary on lower-end devices due to multiple security requests
Settings Explanation
MA Settings: Configure the periods and types of moving averages
Display Settings: Adjust dashboard positioning and visual elements
Trading Instruments: Select which symbols to monitor (defaults to major forex pairs)
Timeframes: Choose which timeframes to display (default: M15, H1, H4, D1, W1)
Colors: Customize the color scheme for bullish/bearish indications and headers
This dashboard provides a straightforward way to maintain situational awareness across multiple markets and timeframes, helping traders identify potential setups and market conditions at a glance.
Daily ATR Bonanza: Expected Moves - Tr33man Daily ATR Bonanza: Expected Moves
Overview 🤷♂️
The Daily ATR Bonanza script is a powerful trading tool designed to help traders visualize and understand potential price movements using the Average True Range (ATR). It provides daily and weekly ATR levels, historical statistics, and conditional probability analysis to give traders actionable insights. The script also plots the daily Keltner channel. This script is ideal for traders who want to gauge volatility, identify key levels, and make data-driven decisions.
b]Key Features:
📈 1. Daily and Weekly ATR Levels
🔵ATR Levels: The script calculates and displays ATR-based levels for the day and week. These levels are derived from the previous day's or week's close price and are adjusted using customizable multipliers (0.5x, 1x, and 1.5x by default).
🔵You can choose the number of ATR levels (1, 2, or 3) and adjust the multipliers to suit your trading strategy.
🌐 2. ATR Bands (Keltner Channels)
🔵The script includes an option to display ATR Bands, which are volatility-based envelopes around a moving average. These bands help identify overbought and oversold conditions.
🔵You can adjust the ATR multiplier and the length of the moving average used for the bands.
🧮 3. Historical Statistics and Conditional Probability
🔵 Historical Analysis: The script analyzes historical price movements to calculate the likelihood of closing at certain ATR levels.
🔵 Conditional Probability: This feature shows the probability of the price reaching specific ATR levels given the current market conditions. The conditional matches historical data by an open in the same opening ATR bucket, as well as the current price bucket having been visited in the historical case. Conditional probabilities are just statistics, and do not predict anything.
Data Table: 📚
🔵 Historical Close Probability: The percentage of days the price closed within each ATR level.
🔵 Conditional Close Probability: The likelihood of the price closing within each ATR level today.
❓ What is Conditional Probability? ❓
Conditional probability is a statistical measure that calculates the likelihood of an event occurring given that another event has already occurred. In this script, it is used to determine the probability of the price reaching specific ATR levels based on the current opening range as well as current ATR distance from the previous close.
For example:
If the market opens near the lower end of the first ATR level, the script calculates the likelihood of the price reaching the upper end of the first, second, or third ATR level.
This analysis is based on historical data, making it a powerful tool for understanding potential price movements.
🌟 Understanding the Levels
🔵Daily Levels: These are based on the previous day's close price and ATR. They are updated at the start of each new day.
🔵Weekly Levels: These are based on the previous week's close price and ATR. They are updated at the start of each new week.
🔵ATR Bands: These are dynamic levels that adjust with market volatility.
🔬 Analyze the Statistics (Daily only for now, no weekly yet)
🔵Use the interactive table to understand historical probabilities and conditional probabilities.
🔵Focus on the current opening range and the likelihood of reaching specific levels.
🧠 Make Trading Decisions
🔵Use the ATR levels and bands to identify key support and resistance levels.
🔵Use the conditional probability table to gauge the likelihood of reaching specific targets.
🔵Adjust your strategy based on the historical performance of the market.
Example Use Cases
1. Day Trading
Use the daily ATR levels to set intraday targets and stop-loss levels.
Monitor the conditional probability table to adjust your expectations based on the opening range.
2. Swing Trading
Use the weekly ATR levels to identify longer-term support and resistance levels.
3. Scalping
Use the ATR bands to identify overbought and oversold conditions.
Use the conditional probability table to quickly assess the likelihood of price movements.
Aggregated Open Interest [Alpha Extract]The Aggregated Open Interest indicator provides a comprehensive view of open interest across multiple cryptocurrency exchanges, allowing traders to monitor institutional positioning and market sentiment. By aggregating data from major exchanges like Binance, BitMEX, and Kraken, this indicator offers valuable insights into potential price movements and market shifts.
🔶 CALCULATION
The indicator processes open interest data through multiple analytical methods:
Exchange Aggregation: Collects and normalizes open interest data from multiple exchanges (Binance, BitMEX, Kraken) with proper currency normalization.
Multi-Mode Analysis: Calculates various metrics including raw open interest values, OI change, OI delta, volume-weighted delta, and OI RSI.
Divergence Detection: Uses pivot point analysis to identify divergences between price action and open interest movements.
Activity Assessment: Tracks bullish and bearish activity patterns by correlating open interest changes with price movements.
Formula:
Aggregate OI = Sum of normalized open interest from selected exchanges
OI Change = Current OI - Previous OI
OI Delta = Net change in open interest across timeframes
OI Delta × Volume = OI Delta weighted by relative volume
OI RSI = Relative Strength Index applied to open interest values
OI Heatmap = Multi-timeframe visualization of OI changes across 7 distinct periods
🔶 DETAILS
Visual Features:
Open Interest: Candlestick representation of aggregated open interest
OI Change: Histogram showing period-to-period changes
OI Delta: Histogram displaying net OI movements
OI Delta × Volume: Volume-weighted OI delta for enhanced signals
OI RSI: Oscillator showing overbought/oversold OI conditions
OI Heatmap: Multi-timeframe visualization showing OI changes across 7 periods (3, 5, 8, 13, 21, 34, and 55 days)
Divergence Detection: Color-coded markers (teal for bullish, red for bearish) highlighting significant divergences between price and open interest
Analysis Table: Real-time summary of key metrics including aggregate OI, recent changes, and bullish/bearish activity.
Interpretation:
Increasing Open Interest + Rising Price: Strong bullish trend confirmation
Increasing Open Interest + Falling Price: Strong bearish trend confirmation
Decreasing Open Interest + Rising Price: Weak bullish trend (potential reversal)
Decreasing Open Interest + Falling Price: Weak bearish trend (potential reversal)
Divergences: Signal potential trend exhaustion and reversals when price moves in one direction while open interest moves in the opposite direction
Heatmap: Provides at-a-glance insight into open interest trends across multiple timeframes, with green bars indicating rising OI and red bars indicating falling OI
🔶 EXAMPLES
Trend Confirmation: Rising open interest accompanying a price increase confirms strong bullish momentum with institutional backing.
Example: During January-February 2025, rising OI during price advances confirms institutional participation in the uptrend.
Bearish Divergence: Price makes a higher high while open interest makes a lower high, signaling potential trend reversal.
Example: Red markers appear at market tops where price continues higher but open interest fails to confirm, preceding significant corrections.
Bullish Divergence : Price makes a lower low while open interest makes a higher low, indicating potential bottoming.
Example: Teal markers appear at market bottoms where price continues lower but open interest fails to confirm, preceding significant rallies.
OI Heatmap Analysis : Multiple timeframes showing consistent red signals across short to long-term periods indicate strong institutional selling pressure.
Example: When all 7 periods (3-55 days) show red during a price uptrend, this signals institutional selling into retail strength, often preceding major corrections.
🔶 SETTINGS
Customization Options:
Data Sources: Toggle different exchanges (Binance USDT/USD/BUSD, BitMEX USD/USDT, Kraken USD)
Display Mode: Choose between Open Interest, OI Change, OI Delta, OI Delta × Volume, OI RSI, and OI Heatmap
Currency Units: Display in USD or base cryptocurrency (COIN)
Analysis Tools: Moving Average (length and color), RSI (length and color)
Divergence Detection: Enable/disable signals, adjust lookback period and threshold percentage, customize bullish/bearish divergence colors
OI Heatmap Colors: Customize bullish (green) and bearish (red) signal colors for the multi-timeframe heatmap visualization
The Aggregated Open Interest indicator provides traders with comprehensive insights into institutional positioning across major exchanges, helping identify potential trend continuations, reversals, and key market turning points driven by smart money movements. The addition of the OI Heatmap feature enables traders to quickly visualize open interest trends across multiple timeframes, providing valuable context for institutional positioning over different market cycles.
New Momentum H/LNew Momentum H/L shows when momentum, defined as the rate of price change over time, exceeds the highest or lowest values observed over a user-defined period. These events shows points where momentum reaches new extremes relative to that period, and the indicator plots a column to mark each occurrence.
Increase in momentum could indicate the start of a trend phase from a low volatile or balanced state. However in developed trends, extreme momentum could also mark potential climaxes which can lead to trend termination. This reflects the dual nature of the component.
This indicator is based on the MACD calculated as the difference between a 3-period and a 10-period simple moving average. New highs are indicated when this value exceeds all previous values within the lookback window; new lows when it drops below all previous values. The default lookback period is set to 40 bars, which corresponds with two months on a daily chart.
The indicator also computes a z-score of the MACD line over the past 100 bars. This standardization helps compare momentum across different periods and normalizes the values of current moves relative to recent history.
In practice, use the indicator to confirm presence of momentum at the start of a move from a balanced state (often following a volatility expansion), track how momentum develops inside of a trend structure and locate potential climactic events.
Momentum should in preference be interpreted from price movement. However, to measure and standardize provides structure and helps build more consistent models. This should be used in context of price structure and broader market conditions; as all other tools.
TJR Liquidity mark-out indicatorIndicator Description:
This custom Pine Script indicator is designed to mark highs and lows based on a simple candle pattern recognition system, ideal for traders using TJR's Strategy or any strategy focused on liquidity.
The indicator marks out key levels where the price has not yet taken out liquidity. Specifically, it looks for price patterns where there is:
A bullish candle followed by a bearish candle (marking a potential high).
A bearish candle followed by a bullish candle (marking a potential low).
Once these highs and lows are identified, lines are drawn extending to the right until price sweeps the level — that is, when the price breaks above a high or below a low, the line is deleted. This makes the indicator highly useful for liquidity-based strategies where the goal is to spot unfilled liquidity zones (i.e., levels where price has not yet reached).
The indicator is especially beneficial for traders who:
Use TJR's Strategy, which typically involves identifying market structure shifts and liquidity zones.
Focus on liquidity pools and want to visualize areas where the market could potentially "sweep" or revisit to grab liquidity before continuing its movement.
By showing these areas where the liquidity hasn't been taken out yet, this indicator allows traders to better time their entries and exits, helping them align with areas of unfilled liquidity in the market. It’s a great addition for those looking to trade near key liquidity zones or manage risk based on market structure shifts.
Key Features:
Marks Liquidity Zones: Detects potential liquidity areas based on candle patterns.
Dynamic Lines: Lines extend to the right and disappear once price sweeps them.
Perfect for TJR's Strategy: Aligns with liquidity-focused strategies.
Customizable: Choose time periods, colors, and line length for personalized settings.
Real-time Updates: Continuously updates as new candles form, ensuring you have the latest liquidity data.
Asian & London Session Highs/LowsAsian & London Session Highs/Lows with Extendable Lines
This TradingView script automatically marks the highs and lows of the Asian and London trading sessions for the most recent day, allowing traders to identify key levels during these active periods. The lines representing the high and low of each session are drawn at the exact price point where the high/low occurred, and they extend to the right for a customizable number of bars, helping to visualize how the price reacts to these key levels after the session ends.
Key Features:
Session High/Low Tracking: Automatically tracks the highest and lowest points for the Asian and London sessions.
Extendable Lines: Lines start at the exact bar where the high/low occurred and can be extended to the right for a specified number of bars.
Timezone Adjustment: Allows you to input a timezone offset to adjust session times based on your local time or desired market time zone.
Customizable Colors & Line Thickness: Adjust the color and thickness of the session high and low lines to suit your visual preferences.
Clear & Precise Levels: Helps identify important support and resistance levels, making it easier to spot market reactions around session highs and lows.
This indicator is perfect for day traders and those looking to trade during specific market hours, offering clear visual markers of session boundaries and critical price levels.
Candle SequenceLooking to easily identify moments of strong market conviction? "Racha Velas" (or your chosen English name like "Consecutive Candles Streak") allows you to visualize clearly and directly sequences of consecutive bullish and bearish candles.
**Key Features:**
* **Real-time Counting:** Displays the number of consecutive candles directly on the chart.
* **Visual Customization:** Adjust the text size and color for optimal visualization.
* **Vertical Offset:** Control the position of the counter to avoid obstructions.
* **Maximum Streaks Table (Optional):** Visualize the largest bullish and bearish streaks found in the chart's history, useful for understanding volatility and price behavior.
* **Easy to Use:** Simply add the indicator to your chart and start analyzing.
This indicator is a valuable tool for traders looking to confirm trends, identify potential exhaustion points, or simply understand price dynamics at a glance. Give it a try and discover the market's streaks!
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¿Buscas identificar momentos de fuerte convicción del mercado? "Racha Velas" te permite visualizar de forma clara y directa las secuencias de velas consecutivas alcistas y bajistas.
**Características principales:**
* **Conteo en Tiempo Real:** Muestra el número de velas consecutivas directamente en el gráfico.
* **Personalización Visual:** Ajusta el tamaño y color del texto para una visualización óptima.
* **Offset Vertical:** Controla la posición del contador para evitar obstrucciones.
* **Tabla de Rachas Máximas (Opcional):** Visualiza las mayores rachas alcistas y bajistas encontradas en el historial del gráfico, útil para entender la volatilidad y el comportamiento del precio.
* **Fácil de Usar:** Simplemente añade el indicador a tu gráfico y comienza a analizar.
Este indicador es una herramienta valiosa para traders que buscan confirmar tendencias, identificar posibles agotamientos o simplemente entender la dinámica del precio en un vistazo. ¡Pruébalo y descubre las rachas del mercado!
Entropy [ScorsoneEnterprises]This indicator calculates the entropy of price log returns over a user-defined lookback period, providing insights into market complexity and unpredictability. Entropy measures the randomness or disorder in price movements, helping traders identify periods of high or low market uncertainty.
How It Works
The indicator computes the entropy of log returns (log(close/close )) using a histogram-based approach with customizable bins. Log returns are stored in an array of size N (lookback period), and entropy is calculated by:
Binning the returns into bins intervals based on their range.
Computing the probability distribution across bins.
Calculating entropy as -Σ(p * log(p)), where p is the probability of each bin.
A reference Simple Moving Average (SMA) of the entropy, with a separate lookback period (SMA_N), is plotted to highlight trends in market complexity. The entropy plot uses a gradient color scheme (red for lower entropy, teal for higher), while the SMA color shifts based on whether entropy is above (teal) or below (red) the SMA.
Key Features
Inputs:
Lookback Period (default: 50): Number of bars for calculating log returns.
Reference SMA Lookback Period (default: 100): Period for the entropy SMA.
Number of Bins (default: 20): Number of histogram bins for entropy calculation.
Plots:
Entropy: Gradient-colored line reflecting market randomness.
Reference SMA: Trend line to compare entropy against its average.
Interpretation
High Entropy: Indicates chaotic, unpredictable price movements, often during volatile or trendless markets.
Low Entropy: Suggests more predictable, ordered price behavior, often in trending or stable markets.
Compare entropy to its SMA to gauge whether current market complexity is above or below its recent average.
Usage
Use this indicator to assess market regimes. High entropy may signal choppy, range-bound conditions, while low entropy could indicate trending opportunities. Combine with price action or other indicators for confirmation.
Examples
We see on this PEPPERSTONE:COCOA chart that when entropy is low it signals a strong trend, either up or down. High entropy signals indecision and choppiness in the market. We can determine this by noticing when the value is above or below its recent average.
Entropy is used in high frequency trading often. It is a nice tool for lower time frames to determine how predictable and strong a trend is.
Inputs
Users can enter the lookback value for entropy, bin count, and the look back for the entropy moving average.
No tool is perfect, the Entropy value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
Long-Term VWAP Mean Reversion SDCACore Idea:
This indicator is designed to support Strategic Dollar Cost Averaging (SDCA) for Bitcoin using a cumulative VWAP-based mean reversion model. It helps long-term investors identify high-conviction buy zones and overbought conditions using statistical deviation from the cumulative VWAP. This indicator evaluates how much price is stretched from the true market average price, weighted by cumulative volume over time.
Core Concepts and Formulas:
Cumulative VWAP (Volume Weighted Average Price):
VWAP cumulative = ∑(Price×Volume) / ∑Volume
A long-term anchor that reflects the average dollar cost of all market participants across all candles. This version does not reset daily, unlike intraday VWAP.
VWAP Deviation % :
Deviation% = Price - VWAP cumulative / VWAP cumulative x 100
Shows how far current price has diverged from the long-term fair value.
Z-Score of VWAP Deviation:
Z= (Price−VWAP)−μ / σ (lookback period: default 200)
SDCA Multiplier Mapping:
*Keep in mind in my Z-Score system, -2 represents the overbought level (white horizontal line) and +2 represents oversold (cyan horizontal line) conditions. So the scores on the Y axis and Z-score in the table are reversed.
| Z-Score Range | SDCA Multiplier |
---------------------------------------------
| ≤ -2 | 0.25×
| -1 to +1 | 1.0×
| > +2 | 2.0×
The pink line plots this multiplier. It’s meant to control buy weight at each time step.
How to Use This for SDCA:
-Buy normally when the multiplier is 1.0× (Z-score between -1 and +1)
-Accelerate buying when Z-score is deeply negative (price far below VWAP)
-Slow or pause buying when Z-score is high (price far above VWAP)
-Use the stats panel to track current Z-score, VWAP level, deviation %, and multiplier
-Watch the red/blue backgrounds as visual confirmation of oversold/overbought zones
Inputs:
Z-Score Lookback Length:
Default: 200 but can be adjusted.
Visuals:
Z-Score Line (cyan): shows current standardized deviation from VWAP
Multiplier Line (bright pink): your SDCA intensity signal
Background Zones: cyan = oversold, white = overbought
Horizontal Lines: +2 and -2 standard deviation thresholds
Stats Panel (bottom right): live values for Z-score, multiplier, price, VWAP, and the deviation formula
Suited For:
-Long-term Bitcoin investors
-SDCA Systems
-Mean reversion systems
-Macro-level buy/sell planning
OHLCVDataOHLCV Data Power Library
Multi-Timeframe Market Data with Mathematical Precision
📌 Overview
This Pine Script library provides structured OHLCV (Open, High, Low, Close, Volume) data across multiple timeframes using mathematically significant candle counts (powers of 3). Designed for technical analysts who work with fractal market patterns and need efficient access to higher timeframe data.
✨ Key Features
6 Timeframes: 5min, 1H, 4H, 6H, 1D, and 1W data
Power-of-3 Candle Counts: 3, 9, 27, 81, and 243 bars
Structured Data: Returns clean OHLCV objects with all price/volume components
Pine Script Optimized: Complies with all security() call restrictions
📊 Timeframe Functions
pinescript
f_get5M_3() // 3 candles of 5min data
f_get1H_27() // 27 candles of 1H data
f_get1D_81() // 81 candles of daily data
// ... and 27 other combinations
🚀 Usage Example
pinescript
import YourName/OHLCVData/1 as OHLCV
weeklyData = OHLCV.f_get1W_27() // Get 27 weekly candles
latestHigh = array.get(weeklyData, 0).high
plot(latestHigh, "Weekly High")
💡 Ideal For
Multi-timeframe analysis
Volume-profile studies
Fractal pattern detection
Higher timeframe confirmation
⚠️ Note
Replace "YourName" with your publishing username
All functions return arrays of OHLCV objects
Maximum lookback = 243 candles
📜 Version History
1.0 - Initial release (2024)
Smarter Money Concepts - MTF IFVGs [PhenLabs]📊 Smarter Money Concepts - MTF IFVG
Version: PineScript™ v6
📌 Description
This multi-timeframe indicator identifies Inverse Fair Value Gaps (IFVGs) and their inversions across simultaneous chart intervals, helping traders spot liquidity voids and potential reversal zones. By analyzing price action through the lens of institutional order flow patterns, it solves the problem of manual gap tracking across timeframes while incorporating volatility-adjusted parameters and psychological level analysis for higher-probability setups.
🚀 Points of Innovation
• Multi-Timeframe Engine - Simultaneous analysis of 3 higher timeframes
• Adaptive Parameters - Auto-adjusts to market volatility conditions
• Quality Scoring System - Ranks gaps using RVI strength and size metrics
• Inversion Tracking - Monitors failed gaps for counter-trend signals
• Render Optimization - Prevents chart clutter with smart gap management
🔧 Core Components
FVG Detection Logic: Identifies gaps using customizable price source (Close/Wick)
Inversion Tracker: Manages failed gaps and generates counter signals
Multi-Timeframe Engine: Processes 3 independent higher timeframe analyses
Dashboard System: Real-time display of active gaps across all timeframes
🔥 Key Features
• Volatility-adjusted gap size filters (ATR-based)
• Customizable timeframe confluence analysis
• Color-coded quality scoring
• Non-repainting inversion signals
• Mobile-optimized visual rendering
🎨 Visualization
• Colored Boxes: Translucent zones show active gaps (green/bullish, red/bearish)
• Midline Plot: Dashed gray line marks gap midpoint for price targets
• Inversion Markers: Intense colors show failed gaps (dark red/bullish failure, bright green/bearish failure)
• HTF Differentiation: Higher timeframe gaps shown in blue/teal hues
📖 Usage Guidelines
Multi-Timeframe Settings
• Higher Timeframe 1
Default: 30 | Range: Any > Chart TF | Controls primary confluence timeframe
• Show All Timeframes
Default: True | Toggles multi-TF gap displays
Gap Settings
• Source
Default: Close | Options: | Determines gap measurement method
• RVI Period
Default: 14 | Range: 1-50 | Sets momentum confirmation sensitivity
• RVI Value
Default 0.1 | 0 to see all IFVGs | Increase min RVI to see the most powerful IFVGs
✅ Best Use Cases
• Identifying confluence across timeframes
• Spotting institutional order blocks
• High-probability reversal trading
• Trend continuation confirmation
• Volatility breakout setups
⚠️ Limitations
• Repaints historical gap zones
• Requires understanding of FVG concepts
• Higher timeframe data latency
• Quality scores rely on RVI/ATR settings
💡 What Makes This Unique
First FVG indicator with true multi-timeframe processing
Adaptive parameters that auto-adjust to volatility
Quantifiable quality scoring system
Professional-grade dashboard with HTF tracking
🔬 How It Works
Gap Detection: Identifies FVGs using price relationships and RVI confirmation
Inversion Tracking: Monitors price breaches to flag failed gaps
Quality Assessment: Scores gaps based on size, momentum, and location
Adaptive Filtering: Adjusts parameters using ATR-based volatility analysis
Multi-TF Synthesis: Correlates gaps across user-selected timeframes
Visual Rendering: Displays only relevant, active gaps to prevent clutter
💡 Note:
Start with default settings and gradually adjust parameters after observing market interactions. Focus on gaps with quality scores above 7 that align with higher timeframe trends. Combine with price action at psychological levels for highest-probability setups. Remember that higher timeframe gaps generally carry more significance than current chart gaps.
MTF PO (3TF)Title: SmartMA Multi-Timeframe Signal Strategy
Description (English):
This indicator provides buy/sell signals based on a multi-timeframe adaptive moving average. It allows traders to align short-term entries with higher time-frame trends. The script integrates a trend-following logic that reacts to price crossovers and adaptive MA slope, helping traders reduce noise and improve entry precision.
概要（日本語）
このインジケーターは、複数時間足の適応型移動平均線（SmartMA）を用いて売買シグナルを生成します。下位足でのエントリーが、上位足のトレンドと一致するよう設計されており、ノイズの除去とトレード精度の向上に貢献します。価格のクロスとMAの傾きを用いたトレンドフォロー型ロジックを搭載しています。
特徴
上位時間足の移動平均（SmartMA）と価格のクロスを検出
傾きフィルターによるトレンド整合性チェック
上位足に合わせて下位足のシグナルを制限
チャート上にシンプルなBuy/Sellラベルを表示
EMA, SMA, RMAなどのカスタム選択が可能
使用方法
チャートにインジケーターを追加し、上位足（例：1時間）と現在の時間足（例：5分）を設定
トレンド方向に沿ったタイミングでエントリーを検討
複数フィルターを用いることで、レンジ相場での誤認識を回避可能
注意事項
本インジケーターは補助的な分析ツールです。過去のパフォーマンスが将来を保証するものではありません。
スクリプトは再描画しない設計ですが、時間足の切り替え等で見た目が変わる可能性があります。
戦略構築には他のリスク管理指標との併用を推奨します。
sideways market for strangleThis Pine Script is designed to identify **sideways or range-bound markets**, which are often ideal conditions for trading **options strangle strategies**. Here's a breakdown of what the script does:
---
### 🛠 **Purpose:**
To **detect low-volatility, sideways market conditions** where price is not trending strongly in either direction — suitable for **neutral options strategies like short strangles**.
---
### 📌 **Key Components:**
#### 1. **Inputs:**
- `RSI Length`: Default 14 — used for calculating the Relative Strength Index (RSI).
- `ADX Length`: Default 14 — used for calculating the Average Directional Index (ADX), DI+ (positive directional movement), and DI- (negative directional movement).
#### 2. **RSI Calculation:**
- `rsiValue` is calculated using the built-in `ta.rsi(close, rsiLength)`.
- A **sideways market** is expected when RSI is in the **40–60 range**, indicating lack of strong momentum.
#### 3. **ADX and Directional Indicators (DI+ and DI-):**
- `diPlus` and `diMinus` are calculated based on recent price movements and the True Range.
- `dx` (Directional Index) measures the strength of trend direction using the difference between DI+ and DI-.
- `adx` is a smoothed version of `dx` and represents **overall trend strength**.
#### 4. **Sideways Market Conditions:**
- **RSI Condition**: RSI is between 40 and 60.
- **ADX Condition**:
- `adx <= 25` → Weak or no trend.
- `adx < diPlus` and `adx < diMinus` → Confirms ADX is lower than directional components, reducing likelihood of a trending market.
#### 5. **Signal Plot:**
- A **green label below the bar** (`shape.labelup`) is plotted when both conditions are met.
- Indicates potential sideways market conditions.
---
### ✅ **Use Case:**
- This signal can help identify **low-volatility zones** suitable for **short strangles** or **iron condors**, where you profit from time decay while expecting the price to stay within a range.
Fibonacci - RSI OscillatorIndicator Overview
The Fibonacci RSI Oscillator calculates the Relative Strength Index (RSI) based on a dynamically adjusting level derived from recent price action and a fixed Fibonacci ratio (0.236). This differs from standard RSI, which is calculated directly on the closing price. The objective is to measure momentum relative to a level that adapts to recent peaks and valleys.
Core Calculation Mechanism
Peak/Valley Tracking: The script identifies the highest high (state_peak) and lowest low (state_valley) since the last detected change in short-term directional bias (state_dir).
Dynamic Level Calculation: A level (state_dyn_level) is calculated using a fixed 0.236 Fibonacci ratio relative to the tracked peak and valley:
If bias is up: state_dyn_level = state_peak - (state_peak - state_valley) * 0.236
If bias is down: state_dyn_level = state_valley + (state_peak - state_valley) * 0.236
This level adjusts automatically when a new peak or valley is established in the current directional bias. If price crosses the dynamic level against the current bias, the bias flips, and the level recalculates.
Optional Source Smoothing: The calculated state_dyn_level can optionally be smoothed using a user-selected moving average (SMA, EMA, WMA, HMA, RMA) before the RSI calculation.
RSI Calculation: The standard RSI formula is applied to the (optionally smoothed) state_dyn_level series to produce the primary oscillator value (val_primary_osc).
Signal Line: A moving average (type and length configurable) is calculated on the val_primary_osc to generate the val_sig_line.
Key Features & Components
Dynamic Fibonacci Level: The core input for the RSI calculation, based on recent peaks/valleys and the 0.236 ratio.
Fibonacci Level RSI: The primary oscillator line representing the RSI of the dynamic level.
Signal Line: A moving average of the primary RSI line.
Overbought/Oversold Levels: User-defined threshold lines.
Optional Source Smoothing: Configurable MA smoothing applied to the dynamic level before RSI calculation.
Gradient RSI Color : Option to color the primary RSI line based on its value relative to OB/Mid/OS levels.
Zone & OB/OS Fills: Visual fills for the 0-50 / 50-100 zones and specific fills when the RSI enters OB/OS territory.
Background Gradient: Optional vertical background color gradient based on the RSI's position between 0 and 100.
Configurable Parameters: Inputs for lengths, MA types, OB/OS levels, colors, line widths, and feature toggles.
Visual Elements Explained
Fibonacci Level RSI Line: The main plotted oscillator (color/gradient/width configurable).
Signal Line: The moving average of the RSI line (color/width/MA type configurable).
OB/OS Lines: Horizontal lines plotted at the set OB/OS levels (color/width configurable).
Mid-Line (50): Horizontal line plotted at 50 (color/width configurable).
Zone Fills:
Background fill between 0-50 and 50-100 (colors configurable).
Conditional fill between the RSI line and the 50 line when RSI > OB level or RSI < OS level (colors configurable).
Background Gradient: Optional background coloring where transparency varies vertically with the RSI level (base colors and transparency range configurable).
Configuration Options
Users can adjust the following parameters in the indicator settings:
Smoothing: Enable/disable dynamic level smoothing; set length and MA type.
RSI: Set the RSI calculation length.
Signal Line: Set the signal line smoothing length and MA type.
Levels: Define Overbought and Oversold numeric thresholds.
Visuals: Configure colors and widths for the RSI line, signal line, OB/OS lines, mid-line, zone fills, and OB/OS fills.
Gradients: Enable/disable and configure colors for the RSI line gradient; enable/disable and configure colors/transparency for the background gradient.
Interpretation Notes
The oscillator reflects the momentum of the dynamic Fibonacci level, not directly the price. Divergences, OB/OS readings, and signal line crossovers should be interpreted in this context.
The behavior may differ from standard RSI, potentially offering a smoother output or highlighting different momentum patterns depending on market structure and volatility.
As with any indicator, signals should be used in conjunction with other analysis methods and risk management practices. It is not designed as a standalone trading system.
Risk Disclaimer:
Trading involves significant risk. This indicator is provided for analytical purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use sound risk management practices and never trade with capital you cannot afford to lose.
NR4 & NR7 with Breakouts [LuxAlgo]NR4 & NR7 with Breakouts is a simple indicator that utilizes the NR4 and NR7 candle patterns to display candle ranges and signals from range breakouts.
🔶 USAGE
The Narrow Range Patterns are candle formations determined by the last candle having a narrower (high-low) range than the previous number. This indicator showcases the 2 most recognized Narrow Range Patterns, which are the 4 and 7 bar variants (NR4 and NR7).
These patterns, introduced by Toby Crabel, are thought to provide insight for potential market breakouts by identifying periods of low volatility indicated by a candle with a small range. This is due to the idea that markets often move from periods of low volatility (contraction) to high volatility (expansion), and the NR4 and NR7 patterns help spot these transitions.
By utilizing these patterns, traders are better able to anticipate and respond to market shifts for better decision-making and risk management.
NOTE: These patterns have traditionally been studied on the Daily Timeframe Chart. This indicator allows the user to select a timeframe to generate these patterns from. It is suggested to be mindful of this when considering these patterns.
In this indicator, on the bar after the pattern is detected, the Narrow Range Bar will be highlighted with a zone, and lines displaying the range will extend from it. These ranges are helpful for providing levels to set limit orders and for managing risk.
Users are able to adjust which pattern they want visualized on their chart, please note;
All NR7s are NR4s but not all NR4s are NR7s.
Because of this, you will notice that when selecting "NR4" to display, the colors will change, but the detected ranges will not change.
🔹 Signals
When a Narrow Range Bar is detected, the script will wait for the price to close outside of the Range, then a signal will fire indicating the direction of exit. The signals are produced from the last NR4 or NR7 and will have the potential to fire from that range until a new NR4 or NR7 is detected.
After a signal fires, the logic goes into a "reset" period where it will wait for the price to reach the Range Mean before firing another signal.
These signals can be anticipated by considering the underlying logic and watching price approach the range extremities, and can be improved by utilizing other market information for confluence.
🔶 SETTINGS
Timeframe: Choose which timeframe to identify the NR4 and NR7 Pattern on. This must be Higher than the chart timeframe.
Pattern Type: Choose which (or all) patterns to display.
Price OI Division Price OI Division Indicator
Overview
The Price OI Division indicator (`P_OI_D`) is a custom TradingView script designed to analyze the relationship between price momentum and open interest (OI) momentum. It visualizes the divergence between these two metrics using a modified MACD (Moving Average Convergence Divergence) approach, normalized to percentage values. The indicator is plotted as a histogram and two lines (MACD and Signal), with color-coded signals for easier interpretation.
Key Features
- Normalized Price MACD : Compares short-term and long-term price momentum.
- OI-Adjusted MACD : Incorporates open interest data to reflect market positioning.
- Divergence Histogram : Highlights the difference between price and OI momentum.
- Signal Line : Smoothed EMA of the divergence for trend confirmation.
- Threshold Lines : Horizontal reference lines at ±10% and 0 for quick visual analysis.
Interpretation Guide
- Bullish Signal :
Histogram turns red (positive & increasing).
MACD (red line) crosses above Signal (blue line).
Divergence above +10% indicates extreme bullish conditions.
- Bearish Signal :
Histogram turns green (negative & increasing).
MACD (lime line) crosses below Signal (maroon line).
Divergence below -10% indicates extreme bearish conditions.
- Neutral/Reversal :
Histogram fading (teal/pink) suggests weakening momentum.
Crossings near the Zero Line may signal trend shifts.
Usage Notes
Asset Compatibility : Works best with futures/perpetual contracts where OI data is available.
Timeframe : Suitable for all timeframes, but align `fastLength`/`slowLength` with your strategy.
Data Limitations : Relies on exchange-specific OI symbols (e.g., `BTC:USDT.P_OI`). Verify data availability for your asset.
Confirmation : Pair with volume analysis or support/resistance levels for higher accuracy.
Disclaimer
This indicator is for educational purposes only. Trading decisions should not be based solely on this tool. Always validate signals with additional analysis and risk management.
Volume-Weighted Pivot BandsThe Volume-Weighted Pivot Bands are meant to be a dynamic, rolling pivot system designed to provide traders with responsive support and resistance levels that adapt to both price volatility and volume participation. Unlike traditional daily pivot levels, this tool recalculates levels bar-by-bar using a rolling window of volume-weighted averages, making it highly relevant for intraday traders, scalpers, swing traders, and algorithmic systems alike.
-- What This Indicator Does --
This tool calculates a rolling VWAP-based pivot level, and surrounds that central pivot with up to five upper bands (R1–R5) and five lower bands (S1–S5). These act as dynamic zones of potential resistance (R) and support (S), adapting in real time to price and volume changes.
Rather than relying on static session or daily data, this indicator provides continually evolving levels, offering more relevant levels during sideways action, trending periods, and breakout conditions.
-- How the Bands Are Calculated --
Pivot (VWAP Pivot):
The core of this system is a rolling Volume-Weighted Average Price, calculated over a user-defined window (default 20 bars). This ensures that each bar’s price impact is weighted by its volume, giving a more accurate view of fair value during the selected lookback.
Volume-Weighted Range (VW Range):
The highest high and lowest low over the same window are used to calculate the volatility range — this acts as a spread factor.
Support & Resistance Bands (S1–S5, R1–R5):
The bands are offset above and below the pivot using multiples of the VW Range:
R1 = Pivot + (VW Range × multiplier)
R2 = R1 + (VW Range × multiplier)
R3 = R2 + (VW Range x multiplier)
...
S1 = Pivot − (VW Range × multiplier)
S2 = S1 − (VW Range × multiplier)
S3 = S2 - (VW Range x multiplier)
...
You can control the multiplier manually (default is 0.25), to widen or tighten band spacing.
Smoothing (Optional):
To prevent erratic movements, you can optionally toggle on/off a simple moving average to the pivot line (default length = 20), providing a smoother trend base for the bands.
-- How to Use It --
This indicator can be used for:
Support and resistance identification:
Price often reacts to R1/S1, and the outer bands (R4/R5 or S4/S5) act as overshoot zones or strong reversal areas.
Trend context:
If price is respecting upper bands (R2–R3), the trend is likely bullish. If price is pressing into S3 or lower, it may indicate sustained selling pressure or a breakdown.
Volatility framing:
The distance between bands adjusts based on price range over the rolling window. In tighter markets, the bands compress — in volatile moves, they expand. This makes the indicator self-adaptive.
Mean reversion trades:
A move into R4/R5 or S4/S5 without continuation can be a sign of exhaustion — potential for reversal toward the pivot.
Alerting:
Built-in alerts are available for crosses of all major bands (R1–R5, S1–S5), enabling trade automation or scalp alerts with ease.
-- Visual Features --
Fuchsia Lines: Mark all Resistance (R1–R5) levels.
Lime Lines: Mark all Support (S1–S5) levels.
Gray Circle Line: Marks the rolling pivot (VWAP-based).
-- Customizable Settings --
Rolling Length: Number of bars used to calculate VWAP and VW Range.
Multiplier: Controls how wide the bands are spaced.
Smooth Pivot: Toggle on/off to smooth the central pivot.
Pivot Smoothing Length: Controls how many bars to average when smoothing is enabled.
Offset: Visually shift all bands forward/backward in time.
-- Why Use This Over Standard Pivots? --
Traditional pivots are based on previous session data and remain fixed. That’s useful for static setups, but may become irrelevant as price action evolves. In contrast:
This system updates every bar, adjusting to current price behavior.
It includes volume — a key feature missing from most static pivots.
It shows multiple bands, giving a full view of compression, breakout potential, or trend exhaustion.
-- Who Is This For? --
This tool is ideal for:
Day traders & scalpers who need relevant intraday levels.
Swing traders looking for evolving areas of confluence.
Algorithmic/systematic traders who rely on quantifiable, volume-aware support/resistance.
Traders on all assets: works on crypto, stocks, futures, forex — any chart that has volume.
MTF Stochastic RSIOverview: MTF Stochastic RSI
is a momentum-tracking tool that plots the Stochastic RSI oscillator for up to four user-
defined timeframes on a single panel. It provides a compact yet powerful view of how
momentum is aligning or diverging across different timeframes, making it suitable for both
scalpers and swing traders looking for multi-timeframe confirmation.
What it does:
Calculates Stochastic RSI values using the RSI of price as the base input and applies
smoothing for stability.
Aggregates and displays the values for four customizable TF (e.g., 5min, 15min, 1h, 4h).
Highlights potential support and resistance zones in the oscillator space using adaptive zone
logic.
Optionally draws dynamic support/resistance zone lines in the oscillator space based on
historical turning points.
How it works:
Each timeframe uses the same RSI and Stoch calculation settings but runs independently via
the request.security() function.
Stochastic RSI is calculated by first applying the RSI to price, then applying a stochastic
formula on the RSI values, and finally smoothing the %K output.
Adaptive overbought and oversold thresholds adjust based on ATR-based volatility and simple
trend filtering (e.g., price vs EMA).
When a crossover above the oversold zone or a crossunder below the overbought zone
occurs, the script checks for proximity to previously stored zones and either adjusts or
records a new one.
These zones are stored and re-plotted as dotted support/resistance levels within the
oscillator space.
What it’s based on:
The indicator builds upon traditional Stochastic RSI by applying it to multiple timeframes in
parallel.
Zone detection logic is inspired by the idea of oscillator-based support/resistance levels.
Volatility-adjusted thresholds are based on ATR (Average True Range) to make the
overbought/oversold zones responsive to market conditions.
How to use it:
Look for alignment across timeframes (e.g., all four curves pushing into the overbought
region suggests strong trend continuation).
Reversal risk increases when one or more higher timeframes are diverging or showing signs of
cooling while lower timeframes are still extended.
Use the zone lines as soft support/resistance references within the oscillator—retests of
these zones can indicate strong reversal opportunities or continuation confirmation.
This script is provided for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or an offer to buy or sell any financial instrument. Always perform your own due diligence, use proper risk management, and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results. Use this tool at your own discretion and risk.
PowerHouse SwiftEdge AI v2.10 StrategyOverview
The PowerHouse SwiftEdge AI v2.10 Strategy is a sophisticated trading system designed to identify high-probability trade setups in forex, stocks, and cryptocurrencies. By combining multi-timeframe trend analysis, momentum signals, volume confirmation, and smart money concepts (Change of Character and Break of Structure ), this strategy offers traders a robust tool to capitalize on market trends while minimizing false signals. The strategy’s unique “AI” component analyzes trends across multiple timeframes to provide a clear, actionable dashboard, making it accessible for both novice and experienced traders. The strategy is fully customizable, allowing users to tailor its filters to their trading style.
What It Does
This strategy generates Buy and Sell signals based on a confluence of technical indicators and smart money concepts. It uses:
Multi-Timeframe Trend Analysis: Confirms the market’s direction by analyzing trends on the 1-hour (60M), 4-hour (240M), and daily (D) timeframes.
Momentum Filter: Ensures trades align with strong price movements to avoid choppy markets.
Volume Filter: Validates signals with above-average volume to confirm market participation.
Breakout Filter: Requires price to break key levels for added confirmation.
Smart Money Signals (CHoCH/BOS): Identifies reversals (CHoCH) and trend continuations (BOS) based on pivot points.
AI Trend Dashboard: Summarizes trend strength, confidence, and predictions across timeframes, helping traders make informed decisions without needing to analyze complex data manually.
The strategy also plots dynamic support and resistance trendlines, take-profit (TP) levels, and “Get Ready” signals to alert users of potential setups before they fully develop. Trades are executed with predefined take-profit and stop-loss levels for disciplined risk management.
How It Works
The strategy integrates multiple components to create a cohesive trading system:
Multi-Timeframe Trend Analysis:
The strategy evaluates trends on three timeframes (1H, 4H, Daily) using Exponential Moving Averages (EMA) and Volume-Weighted Average Price (VWAP). A trend is considered bullish if the price is above both the EMA and VWAP, bearish if below, or neutral otherwise.
Signals are only generated when the trend on the user-selected higher timeframe aligns with the trade direction (e.g., Buy signals require a bullish higher timeframe trend). This reduces noise and ensures trades follow the broader market context.
Momentum Filter:
Measures the percentage price change between consecutive bars and compares it to a volatility-adjusted threshold (based on the Average True Range ). This ensures trades are taken only during significant price movements, filtering out low-momentum conditions.
Volume Filter (Optional):
Checks if the current volume exceeds a long-term average and shows positive short-term volume change. This confirms strong market participation, reducing the risk of false breakouts.
Breakout Filter (Optional):
Requires the price to break above (for Buy) or below (for Sell) recent highs/lows, ensuring the signal aligns with a structural shift in the market.
Smart Money Concepts (CHoCH/BOS):
Change of Character (CHoCH): Detects potential reversals when the price crosses under a recent pivot high (for Sell) or over a recent pivot low (for Buy) with a bearish or bullish candle, respectively.
Break of Structure (BOS): Confirms trend continuations when the price breaks below a recent pivot low (for Sell) or above a recent pivot high (for Buy) with strong momentum.
These signals are plotted as horizontal lines with labels, making it easy to visualize key levels.
AI Trend Dashboard:
Combines trend direction, momentum, and volatility (ATR) across timeframes to calculate a trend score. Scores above 0.5 indicate an “Up” trend, below -0.5 indicate a “Down” trend, and otherwise “Neutral.”
Displays a table summarizing trend strength (as a percentage), AI confidence (based on trend alignment), and Cumulative Volume Delta (CVD) for market context.
A second table (optional) shows trend predictions for 1H, 4H, and Daily timeframes, helping traders anticipate future market direction.
Dynamic Trendlines:
Plots support and resistance lines based on recent swing lows and highs within user-defined periods (shortTrendPeriod, longTrendPeriod). These lines adapt to market conditions and are colored based on trend strength.
Why This Combination?
The PowerHouse SwiftEdge AI v2.10 Strategy is original because it seamlessly integrates traditional technical analysis (EMA, VWAP, ATR, volume) with smart money concepts (CHoCH, BOS) and a proprietary AI-driven trend analysis. Unlike standalone indicators, this strategy:
Reduces False Signals: By requiring confluence across trend, momentum, volume, and breakout filters, it minimizes trades in choppy or low-conviction markets.
Adapts to Market Context: The ATR-based momentum threshold adjusts dynamically to volatility, ensuring signals remain relevant in both trending and ranging markets.
Simplifies Decision-Making: The AI dashboard distills complex multi-timeframe data into a user-friendly table, eliminating the need for manual analysis.
Leverages Smart Money: CHoCH and BOS signals capture institutional price action patterns, giving traders an edge in identifying reversals and continuations.
The combination of these components creates a balanced system that aligns short-term trade entries with longer-term market trends, offering a unique blend of precision, adaptability, and clarity.
How to Use
Add to Chart:
Apply the strategy to your TradingView chart on a liquid symbol (e.g., EURUSD, BTCUSD, AAPL) with a timeframe of 60 minutes or lower (e.g., 15M, 60M).
Configure Inputs:
Pivot Length: Adjust the number of bars (default: 5) to detect pivot highs/lows for CHoCH/BOS signals. Higher values reduce noise but may delay signals.
Momentum Threshold: Set the base percentage (default: 0.01%) for momentum confirmation. Increase for stricter signals.
Take Profit/Stop Loss: Define TP and SL in points (default: 10 each) for risk management.
Higher/Lower Timeframe: Choose timeframes (60M, 240M, D) for trend filtering. Ensure the chart timeframe is lower than or equal to the higher timeframe.
Filters: Enable/disable momentum, volume, or breakout filters to suit your trading style.
Trend Periods: Set shortTrendPeriod (default: 30) and longTrendPeriod (default: 100) for trendline plotting. Keep below 2000 to avoid buffer errors.
AI Dashboard: Toggle Enable AI Market Analysis to show/hide the prediction table and adjust its position.
Interpret Signals:
Buy/Sell Labels: Green "Buy" or red "Sell" labels indicate trade entries with predefined TP/SL levels plotted.
Get Ready Signals: Yellow "Get Ready BUY" or orange "Get Ready SELL" labels warn of potential setups.
CHoCH/BOS Lines: Aqua (CHoCH Sell), lime (CHoCH Buy), fuchsia (BOS Sell), or teal (BOS Buy) lines mark key levels.
Trendlines: Green/lime (support) or fuchsia/purple (resistance) dashed lines show dynamic support/resistance.
AI Dashboard: Check the top-right table for trend strength, confidence, and CVD. The optional bottom table shows trend predictions (Up, Down, Neutral).
Backtest and Trade:
Use TradingView’s Strategy Tester to evaluate performance. Adjust TP/SL and filters based on results.
Trade manually based on signals or automate with TradingView alerts (set alerts for Buy/Sell labels).
Originality and Value
The PowerHouse SwiftEdge AI v2.10 Strategy stands out by combining multi-timeframe analysis, smart money concepts, and an AI-driven dashboard into a single, user-friendly system. Its adaptive momentum threshold, robust filtering, and clear visualizations empower traders to make confident decisions without needing advanced technical knowledge. Whether you’re a day trader or swing trader, this strategy provides a versatile, data-driven approach to navigating dynamic markets.
Important Notes:
Risk Management: Always use appropriate position sizing and risk management, as the strategy’s TP/SL levels are customizable.
Symbol Compatibility: Test on liquid symbols with sufficient historical data (at least 2000 bars) to avoid buffer errors.
Performance: Backtest thoroughly to optimize settings for your market and timeframe.
Binary Options Time/Price Entry HelperFor those who like to trade the Nadex 5 minute binary options.
✅ Features:
Marks the start of every 5-minute candle (HH:00, HH:05, HH:10, etc.)
Highlights price action signals:
Bullish Engulfing
Bearish Engulfing
Long rejection wicks (potential reversals)
Designed for 1-minute charts
Ideal for manual binary entries
Look for:
🔽 Gray markers: start of a 5-min cycle
🟩 CALL or 🟥 PUT: bullish or bearish engulfing
🟢 or 🟠 circles: strong rejection wicks
You can take off the 5 minute chart cycle markers and the rejection wick markers for a clean looking chart.
Jump in the trade when the call/put arrows appear. These can be fast moving trades. Be prepared to exit if need be. Nadex lets you exit at any time.
Example: if you enter a call around $75 you can get out at $50 if the trade goes against you. If you enter a put around $25 and the trade goes against you, exit at $50, or as close as possible. If you do this it will keep your rr close to 1:1 - this is VERY important for these trades.
I'm not responsible for how you do on these trades. I've only used it for EURUSD, but it works well. Test it on all the 5 minute binaries if you want and see what you think.
Don't wear yourself out on these. Nadex has 5 minute binaries continuously. Work at it for a couple hours and get good. You can collect the $25 premium several times a day. Just get out if it moves against you.
