Whale Activity Tracker Enhanced"Whale Activity Tracker Enhanced: Multi-Timeframe Adaptive Trading Signals"
Description:
The Whale Activity Tracker Enhanced (WAT+) is an innovative, multi-dimensional indicator designed to detect and visualize significant market moves likely driven by large players ("whales"). It combines volume analysis, price action, volatility, and momentum to provide traders with a comprehensive view of potential high-impact market events.
Key Features:
1. Adaptive Volume Spike Detection: Dynamically adjusts to market conditions, identifying unusual volume surges relative to recent activity.
2. Multi-Factor Confirmation: Combines volume spikes with price movements, RSI levels, and volatility measures for higher-probability signals.
3. Liquidity Grab Detection: Identifies potential stop-loss raids and liquidity sweeps through wick-to-body ratio analysis.
4. Customizable Signal Strength: Provides a visual representation of signal intensity, allowing traders to focus on the most significant events.
5. Flexible Timeframe Usage: Optimized settings for both scalp and swing trading, making it versatile across different trading styles.
How It Works:
- Volume Spike Analysis: Compares current volume to a user-defined multiple of the average volume.
- Price Move Threshold: Flags significant percentage price changes to filter out minor fluctuations.
- RSI Integration: Uses RSI to identify potential overbought/oversold conditions coinciding with other signals.
- Volatility Measurement: Incorporates ATR to detect periods of increased market volatility.
- Wick Analysis: Detects potential liquidity grabs by analyzing the ratio of candle wicks to bodies.
Originality:
Unlike standard volume or price action indicators, WAT+ synthesizes multiple market factors to provide a holistic view of potential whale activity. Its adaptive nature and customizable parameters allow it to work across various market conditions and trading styles.
Usage Guide:
1. Scalp Trading Setup:
- Use shorter lookback periods (12-15 bars) and tighter RSI levels (75/25).
- Focus on quick, high-probability trades triggered by volume spikes and price moves.
- Utilize the signal strength indicator for entry confirmation.
2. Swing Trading Setup:
- Extend lookback periods (20-30 bars) and use standard RSI levels (70/30).
- Look for sustained signals over multiple candles for trend confirmation.
- Combine with broader market trend analysis for higher-probability setups.
3. General Tips:
- Use the info panel to analyze the components of each signal.
- Adjust volume and price thresholds based on the specific asset's volatility.
- Combine with support/resistance levels for optimal entry and exit points.
By providing a multi-faceted approach to market analysis, the Whale Activity Tracker Enhanced empowers traders to identify and capitalize on significant market moves across various timeframes and trading styles.
Swing Trading Settings:
General Settings
Lookback Period: 20 to 30 bars. This provides a smoother signal and better context for swing trading.
Volume Spike Multiplier: 2.5 to 3.0. Higher thresholds ensure only significant volume spikes are considered.
Price Move % Threshold: 2.0 to 3.0%. Larger price move thresholds align with swing trading objectives.
RSI Period: 14 to 21. Longer periods smooth out short-term fluctuations.
RSI Overbought/Oversold Levels: 70/30. These levels work well for identifying potential reversals in swing trading.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: True (important for identifying strong trends)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: True (useful for detailed analysis of swing setups)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Parameters
ATR Period: 14 to 20. This helps identify volatility and set stop-loss levels.
Wick-to-Body Ratio: 2.0 or higher. This ensures only significant liquidity grabs are flagged.
Signal Strength Smoothing: 3 to 5 bars for steadier signals.
Scalp Trading:
General Settings
Lookback Period: 12 to 15 bars. This allows for a balance between responsiveness and noise reduction.
Volume Spike Multiplier: 2.0 to 2.2. This setting helps detect significant volume spikes without overreacting to minor fluctuations.
Price Move % Threshold: 1.0 to 1.2%. This captures substantial price movements suitable for scalp trading.
RSI Period: 7 to 9. Shorter periods provide quicker signals, ideal for scalp trading.
RSI Overbought/Oversold Levels: 75/25. Tighter levels help identify potential reversals sooner.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: False (optional, depends on market conditions)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: False (optional, for cleaner charts)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Tips
ATR Period: Keep it around 14 for volatility assessment.
Wick-to-Body Ratio: Adjust to 1.8 or higher for clearer liquidity grabs.
Signal Strength Smoothing: Use 2 to 3 bars for a responsive yet stable signal.
Momentum Indicator (MOM)
BTC Momentum Detector 1h# BTC Momentum Detector 1h
This indicator is designed to detect significant momentum movements in Bitcoin price on the 1-hour timeframe. It identifies candles with percentage changes within a specific range, which often precede larger price movements.
## How It Works
The indicator analyzes price movements to detect potential momentum shifts:
- Identifies candles with percentage changes between configurable thresholds (default: 1.7% - 2.8%)
- Requires neutral or inverse movement in the prior candle to avoid false signals
- Optional volume filter ensures signals are confirmed by above-average trading activity
- Tracks price continuation to calculate success rates and average returns
## Key Features
- **Signal Detection**: Green triangles below price bars indicate upward momentum signals; red triangles above price bars indicate downward momentum signals
- **Continuation Tracking**: Dashed horizontal lines show the entry price levels of active signals being tracked
- **Statistics Panel**: Displays real-time metrics including signal counts, success rates, and average returns
- **Current Status**: Shows the current price change percentage and active signals being monitored
## Parameters
- **Minimum Percentage Threshold**: Minimum price change to trigger a signal (default: 1.7%)
- **Maximum Percentage Threshold**: Maximum price change to filter out extreme moves (default: 2.8%)
- **Continuation Periods**: Number of periods to track after signal (default: 2)
- **Require Prior Neutral/Inverse**: Filters signals by requiring neutral or opposite prior movement
- **Neutral Threshold**: Defines what's considered a neutral movement (default: 0.1%)
- **Volume Filter**: Option to require above-average volume for confirmation
- **Volume Multiplier**: Volume must exceed average by this factor (default: 2x)
## Strategy Concept
The underlying strategy is based on the concept that when Bitcoin makes a controlled, significant move (not too small, not too large) after a period of neutral or opposite movement, it often continues in that direction for the next few periods. This pattern reflects the early stages of momentum development in the market.
TradFi Fundamentals: Enhanced Macroeconomic Momentum Trading Introduction
The "Enhanced Momentum with Advanced Normalization and Smoothing" indicator is a tool that combines traditional price momentum with a broad range of macroeconomic factors. I introduced the basic version from a research paper in my last script. This one leverages not only the price action of a security but also incorporates key economic data—such as GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and market volatility (VIX)—to create a comprehensive, normalized momentum score.
Previous indicator
Explanation
In plain terms, the indicator calculates a raw momentum value based on the change in price over a defined lookback period. It then normalizes this momentum, along with several economic indicators, using a method chosen by the user (options include simple, exponential, or weighted moving averages, as well as a median absolute deviation (MAD) approach). Each normalized component is assigned a weight reflecting its relative importance, and these weighted values are summed to produce an overall momentum score.
To reduce noise, the combined momentum score can be further smoothed using a user-selected method.
Signals
For generating trade signals, the indicator offers two modes:
Zero Cross Mode: Signals occur when the smoothed momentum line crosses the zero threshold.
Zone Mode: Overbought and oversold boundaries (which are user defined) provide signals when the momentum line crosses these preset limits.
Definition of the Settings
Price Momentum Settings:
Price Momentum Lookback: The number of days used to compute the percentage change in price (default 50 days).
Normalization Period (Price Momentum): The period over which the price momentum is normalized (default 200 days).
Economic Data Settings:
Normalization Period (Economic Data): The period used to normalize all economic indicators (default 200 days).
Normalization Method: Choose among SMA, EMA, WMA, or MAD to standardize both price and economic data. If MAD is chosen, a multiplier factor is applied (default is 1.4826).
Smoothing Options:
Apply Smoothing: A toggle to enable further smoothing of the combined momentum score.
Smoothing Period & Method: Define the period and type (SMA, EMA, or WMA) used to smooth the final momentum score.
Signal Generation Settings:
Signal Mode: Select whether signals are based on a zero-line crossover or by crossing user-defined overbought/oversold (OB/OS) zones.
OB/OS Zones: Define the upper and lower boundaries (default upper zones at 1.0 and 2.0, lower zones at -1.0 and -2.0) for zone-based signals.
Weights:
Each component (price momentum, GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and VIX) has an associated weight that determines its contribution to the overall score. These can be adjusted to reflect different market views or risk preferences.
Visual Aspects
The indicator plots the smoothed combined momentum score as a continuous blue line against a dotted zero-line reference. If the Zone signal mode is selected, the indicator also displays the upper and lower OB/OS boundaries as horizontal lines (red for overbought and green for oversold). Buy and sell signals are marked by small labels ("B" for buy and "S" for sell) that appear at the bottom or top of the chart when the score crosses the defined thresholds, allowing traders to quickly identify potential entry or exit points.
Conclusion
This enhanced indicator provides traders with a robust approach to momentum trading by integrating traditional price-based signals with a suite of macroeconomic indicators. Its normalization and smoothing techniques help reduce noise and mitigate the effects of outliers, while the flexible signal generation modes offer multiple ways to interpret market conditions. Overall, this tool is designed to deliver a more nuanced perspective on market momentum.
Uptrick: Universal Market ValuationIntroduction
Uptrick: Universal Market Valuation is created for traders who seek an analytical tool that brings together multiple signals in one place. Whether you focus on intraday scalping or long-term portfolio management, the indicator merges various well-known technical indicators to help gauge potential overvaluation, undervaluation, and trend direction. It is engineered to highlight different market dimensions, from immediate price momentum to extended cyclical trends.
Overview
The indicator categorizes market conditions into short-term, long-term, or a classic Z-Score style reading. Additionally, it draws on a unified trend line for directional bias. By fusing elements from traditionally separate indicators, the indicator aims to reduce “false positives” while giving a multidimensional view of price behavior. The indicator works best on cryptocurrency markets while remaining a universal valuation indicator that performs well across all timeframes. However, on lower timeframes, the Long-Term Combo input may be too long-term, so it's recommended to select the Short-Term Combo in the inputs for better adaptability.
Originality and Value
The Uptrick: Universal Market Valuation indicator is not just a simple combination of existing technical indicators—it introduces a multi-layered, adaptive valuation model that enhances signal clarity, reduces false positives, and provides traders with a more refined assessment of market conditions.
Rather than treating each included indicator as an independent signal, this script normalizes and synthesizes multiple indicators into a unified composite score, ensuring that short-term and long-term momentum, mean reversion, and trend strength are all dynamically weighted based on market behavior. It employs a proprietary weighting system that adjusts how each component contributes to the final valuation output. Instead of static threshold-based signals, the indicator integrates adaptive filtering mechanisms that account for volatility fluctuations, drawdowns, and momentum shifts, ensuring more reliable overbought/oversold readings.
Additionally, the script applies Z-Score-based deviation modeling, which refines price valuation by filtering out extreme readings that are statistically insignificant. This enhances the detection of true overvaluation and undervaluation points by comparing price behavior against a dynamically calculated standard deviation threshold rather than relying solely on traditional fixed oscillator bands. The MVRV-inspired ratio provides a unique valuation layer by incorporating historical fair-value estimations, offering deeper insight into market overextension.
The Universal Trend Line within the indicator is designed to smooth trend direction while maintaining responsiveness to market shifts. Unlike conventional trend indicators that may lag significantly or produce excessive false signals, this trend-following mechanism dynamically adjusts to changing price structures, helping traders confirm directional bias with reduced noise. This approach enables clearer trend recognition and assists in distinguishing between short-lived pullbacks and sustained market movements.
By merging momentum oscillators, trend strength indicators, volume-driven metrics, statistical deviation models, and long-term valuation principles into a single framework, this indicator eliminates the need for juggling multiple individual indicators, helping traders achieve a holistic market perspective while maintaining customization flexibility. The combination of real-time alerts, dynamic color-based valuation visualization, and customizable trend-following modes further enhances usability, making it a comprehensive tool for traders across different timeframes and asset classes.
Inputs and Features
• Calculation Window (Short-Term and Long-Term)
Defines how much historical data the indicator uses to evaluate the market. A smaller window makes the indicator more reactive, benefiting high-frequency traders. A larger window provides a steadier perspective for longer-term holders.
• Smoothing Period (Short-Term and Long-Term)
Controls how much the raw indicator outputs are “smoothed out.” Lower values reveal subtle intraday fluctuations, while higher values aim to present more robust, stable signals.
• Valuation Mechanism (Short Term Combo, Long Term Combo, Classic Z-Score)
Allows you to pick how the indicator evaluates overvaluation or undervaluation. Short Term Combo focuses on rapid oscillations, Long Term Combo assesses market health over more extended periods, and the Classic Z-Score approach highlights statistically unusual price levels.
Short-Term
• Determination Mechanism (Strict or Loose)
Governs the tolerance for labeling a market as overvalued or undervalued. Strict requires stronger confirmation; Loose begins labeling sooner, potentially catching moves earlier but risking more false signals.
Strict
Loose
• Select Color Scheme
Lets you choose the aesthetic style for your charts. Visual clarity can significantly improve reaction time, especially when multiple indicators are combined.
• Z-Score Coloring Mode (Heat or Slope)
Determines how the Classic Z-Score line and bars are colored. In Heat mode, the indicator intensifies color as readings move further from a baseline average. Slope mode changes color based on the direction of movement, making turning points more evident.
Classic Z-Score - Heat
Classic Z-Score - Slope
• Trend Following Mode (Short, Long, Extra Long, Filtered Long)
Offers various ways to compute and smooth the universal trend line. Short is more sensitive, Long and Extra Long are meant for extended time horizons, and Filtered Long applies an extra smoothing layer to help you see overarching trends rather than smaller fluctuations.
Short Term
Long Term
Extra Long Term
Filtered Long Term
• Table Display
An optional feature that places a concise summary table on the chart. It shows valuation states, trend direction, volatility condition, and other metrics, letting you observe multi-angle readings at a glance.
• Alerts
Multiple alert triggers can be set up—for crossing into overvaluation zones, for abrupt changes in trend, or for high volatility detection. Traders can stay informed without needing to watch charts continuously.
Why These Indicators Were Merged
• RSI (Relative Strength Index)
RSI is a cornerstone momentum oscillator that interprets speed and change of price movements. It has widespread recognition among traders for detecting potential overbought or oversold conditions. Including RSI provides a tried-and-tested layer of momentum insight.
• Stochastic Oscillator
This oscillator evaluates the closing price relative to its recent price range. Its responsiveness makes it valuable for pinpointing near-term price fluctuations. Where RSI offers a broader momentum picture, Stochastic adds fine-tuned detection of short-lived rallies or pullbacks.
• MFI (Money Flow Index)
MFI assesses buying and selling pressure by incorporating volume data. Many technical tools are purely price-based, but MFI’s volume component helps address questions of liquidity and actual money flow, offering a glimpse of how robust or weak a current move might be.
• CCI (Commodity Channel Index)
CCI shows how far price lies from its statistically “typical” trend. It can spot emerging trends or warn of overextension. Using CCI alongside RSI and Stochastic further refines the valuation layer by capturing price deviation from its underlying trajectory.
• ADX (Average Directional Index)
ADX reveals the strength of a trend but does not specify its direction. This is especially useful in combination with other oscillators that focus on bullish or bearish momentum. ADX can clarify whether a market is truly trending or just moving sideways, lending deeper context to the indicator's broader signals.
• MACD (Moving Average Convergence Divergence)
MACD is known for detecting momentum shifts via the interaction of two moving averages. Its inclusion ensures the indicator can capture transitional phases in market momentum. Where RSI and Stochastic concentrate on shorter-term changes, MACD has a slightly longer horizon for identifying robust directional changes.
• Momentum and ROC (Rate of Change)
Momentum and ROC specifically measure the velocity of price moves. By indicating how quickly (or slowly) price is changing compared to previous bars, they help confirm whether a trend is gathering steam, losing it, or is in a transitional stage.
• MVRV-Inspired Ratio
Drawn loosely from the concept of comparing market value to some underlying historical or fair-value metric, an MVRV-style ratio can help identify if an asset is trading above or below a considered norm. This additional viewpoint on valuation goes beyond simple price-based oscillations.
• Z-Score
Z-Score interprets how many standard deviations current prices deviate from a central mean. This statistical measure is often used to identify extreme conditions—either overly high or abnormally low. Z-Score helps highlight potential mean reversion setups by showing when price strays far from typical levels.
By merging these distinct viewpoints—momentum oscillators, trend strength gauges, volume flow, standard deviation extremes, and fundamental-style valuation measures—the indicator aims to create a well-rounded, carefully balanced final readout. Each component serves a specialized function, and together they can mitigate the weaknesses of a single metric acting alone.
Summary
This indicator simplifies multi-indicator analysis by fusing numerous popular technical signals into one tool. You can switch between short-term and long-term valuation perspectives or adopt a classic Z-Score approach for spotting price extremes. The universal trend line clarifies direction, while user-friendly color schemes, optional tabular summaries, and customizable alerts empower traders to maintain awareness without constantly monitoring every market tick.
Disclaimer
The indicator is made for educational and informational use only, with no claims of guaranteed profitability. Past data patterns, regardless of the indicators used, never ensure future results. Always maintain diligent risk management and consider the broader market context when making trading decisions. This indicator is not personal financial advice, and Uptrick disclaims responsibility for any trading outcomes arising from its use.
RVI SD Band Oscillator | BinMastaThe RVI SD Band Oscillator is a momentum-based indicator that enhances trend analysis using the Relative Vigor Index (RVI) with Standard Deviation (SD) Bands. It refines signals by incorporating a signal line and dynamically adjusting bands based on market volatility.
Core Components:
RVI Calculation: Measures price momentum relative to past movements.
Signal Line: A smoothed version of RVI to identify crossovers.
SD Bands: Standard deviation-based boundaries to gauge overbought/oversold conditions.
Trading Logic:
Trend Direction: Determined by RVI crossover with the signal line.
Momentum Confirmation: Identifies shifts in buying and selling strength.
Trade Signals:
Bullish when the trend is up & the signal is near the lower band.
Bearish when the trend is down & the signal is near the upper band.
Visual Features:
Colored candles highlight potential trend shifts.
Signal line plot provides additional confirmation.
Disclaimer:
This indicator is for educational purposes only and should not be considered financial advice. Past performance is not indicative of future results. Always conduct your own analysis and risk management before making trading decisions. 🚀
THMA VWAP Oscillator [by Oberlunar]The THMA VWAP Oscillator of Oberlunar is a trend-following and liquidity-sensitive indicator that blends the Triple Hull Moving Average (THMA) with Volume Weighted Average Price (VWAP) deviation bands to highlight high-probability trading setups. It helps traders differentiate between healthy momentum moves and market noise , making it an effective tool for spotting trend continuations, reversals, and mean reversion trades .
At its core, the THMA is an advanced moving average that smooths price action while minimizing lag. Unlike conventional moving averages that react slowly, the THMA dynamically adapts to market conditions by applying a weighted smoothing process. This allows it to react more efficiently to momentum shifts , making it ideal for trend-following and breakout strategies .
The VWAP acts as a volume-weighted price equilibrium, giving traders a framework for understanding institutional positioning. Since VWAP considers both price and volume , it helps determine whether the market is trading at a premium or a discount relative to where most of the volume has transacted. The inclusion of VWAP deviation bands , derived from standard deviations, enhances the ability to detect overbought and oversold conditions , ensuring that signals align with key liquidity levels.
The indicator generates buy and sell signals based on a structured methodology that incorporates trend direction, liquidity positioning, and momentum confirmation . A buy signal is triggered when the THMA on a higher timeframe is positioned below the THMA of the current timeframe, indicating that the broader trend is supportive of an upward move. Additionally, the THMA must be trading below the lower VWAP deviation band , suggesting that price is in a discounted liquidity zone, which is often an area where institutional buyers step in. To ensure that the signal is not just a random fluctuation, the THMA must also show positive slope , meaning it is actively rising, confirming that price is attempting to reverse or continue its upward move with strength.
A sell signal follows the same logic in reverse. The THMA on a higher timeframe must be above the THMA of the current timeframe, confirming alignment with a broader downtrend. The THMA must also be positioned above the upper VWAP deviation band , signaling that price is extended and potentially due for a reversal. To validate that the momentum is actually weakening, the THMA must be in a declining slope , ensuring that price is not simply pausing but actually entering a phase of downward acceleration.
One of the key nuances of the THMA VWAP Oscillator is how it visually represents momentum through the serpentine line , which dynamically shifts color as it develops. When the serpentine line maintains a consistent color—green in an uptrend or red in a downtrend—it signals strong trend conviction . However, when the color fluctuates rapidly between green and red, it indicates a weakening signal , suggesting that price action is becoming choppy and trend strength is deteriorating. This alternation in color serves as an early warning of potential reversals, false breakouts, or trend exhaustion. Traders should be cautious when signals appear in conjunction with an unstable serpentine, as they are less likely to be reliable in such conditions.
To further enhance signal quality, the indicator incorporates a signal alternation mechanism , ensuring that consecutive buy or sell signals do not appear unless the previous trade setup has been invalidated. This helps prevent overtrading in consolidating markets and reduces the chances of chasing false breakouts. Additionally, the placement of buy and sell labels is optimized using ATR-based scaling , positioning them strategically above or below price action to maintain chart clarity without interfering with live price movements.
By integrating trend structure, liquidity positioning, and signal validation , the THMA VWAP Oscillator provides a structured approach to trade execution. It is particularly effective for traders looking to capture breakout moves, pullback entries, and mean reversion opportunities , as it ensures that entries are aligned with market momentum, institutional positioning, and price equilibrium dynamics . The ability to filter out weak signals while identifying strong momentum trends makes it an indispensable tool for trend-followers, breakout traders, and mean reversion specialists alike .
I am very pleased to share that I am publicly releasing one of my private indicators, which I usually provide exclusively to my community. This is a significant moment for me, as this tool has been carefully refined and tested to offer high-quality trading insights.
I also want to take this opportunity to thank my entire community for the incredible support I have received over the past few months. Your feedback, engagement, and enthusiasm continue to inspire me, and I truly appreciate being part of this journey with all of you.
Stay tuned for more updates, and as always, trade smart! 🚀
TJR SEEK AND DESTROYTJR SEEK AND DESTROY – Intraday ICT Trading Tool
Built for day traders, TJR SEEK AND DESTROY combines Smart Money concepts like order blocks, fair value gaps, and liquidity sweeps with structure breaks and daily bias to pinpoint high-probability trades during US market hours (9:30–16:00). Ideal for scalping or intraday strategies on stocks, futures, or forex.
What Makes It Unique?
Unlike standalone ICT indicators, this script integrates:
Order Blocks with volume and range filters for precise support/resistance zones.
Fair Value Gaps (FVG) to spot pre-market price imbalances.
Break of Structure (BOS) and Liquidity Sweeps for trend and reversal signals.
A 1H MA-based Bias to align trades with the day’s direction.
BUY/SELL Labels triggered only when bias, BOS, and sweeps align, reducing noise.
How Does It Work?
Order Blocks: Marks zones with high volume (>1.5x 20-period SMA) and low range (<0.5x ATR20) as teal boxes—potential reversal points.
Fair Value Gap: Compares the prior day’s close to the current open (pre- or post-9:30), shown as a purple line and label (e.g., "FVG: 0.005").
Pivot Point: Calculates (prevHigh + prevLow + prevClose) / 3 from the prior day, plotted as an orange line for equilibrium.
Break of Structure: Detects crossovers of 5-bar highs/lows (gray lines), marked with red triangles.
Liquidity Sweeps: Tracks breaches of the prior day’s high/low (yellow lines), marked with yellow triangles.
Daily Bias: Uses 1H close vs. 20-period MA (blue line) for bullish (green background), bearish (red), or neutral (gray) context.
Signals: BUY (green label) when bias is bullish, price breaks up, and sweeps the prior high; SELL (red label) when bias is bearish, price breaks down, and sweeps the prior low.
How to Use It
Setup: Apply to 1M–15M charts for US session trading (9:30–16:00 EST).
Trading:
Wait for a BUY label after a yellow sweep triangle above the prior day’s high in a green (bullish) background.
Wait for a SELL label after a yellow sweep triangle below the prior day’s low in a red (bearish) background.
Use order blocks (teal boxes) as support/resistance for stop-loss or take-profit.
Markets: Best for SPY, ES futures, or forex pairs with US session volatility.
Underlying Concepts
Order Blocks: High-volume, low-range bars suggest institutional activity.
FVG: Gaps between close and open indicate imbalance to be filled.
BOS & Sweeps: Price breaking key levels signals momentum or stop-hunting.
Bias: 1H MA filters trades by broader trend.
Chart Setup
Displays order blocks (teal boxes), pivot (orange), open (purple), bias (colored background), BOS/sweeps (triangles), and signals (labels). Keep other indicators off for clarity.
Advanced Session Profile Predictor with SR Boxes & ORAdvanced Session Profile Predictor with Momentum Arrows
Designed for intraday traders, this indicator analyzes price action across Asia, London, and New York sessions to predict market profiles and highlight key trading opportunities. By combining session-based profiling, Opening Range (OR) visualization, and momentum signals from Traders Dynamic Index (TDI), it offers a unique tool for anticipating trends, reversals, and breakouts. Ideal for forex, indices, and crypto on 15M–1H charts.
What Makes This Indicator Unique?
Unlike typical session indicators that only mark time zones or standard TDI scripts that focus on momentum, this tool:
Predicts market profiles (e.g., "Trend Continuation," "NY Manipulation") by analyzing session ranges and directional moves, offering actionable insights into how sessions interact.
Visualizes Opening Range (OR) boxes for the first 15 minutes of each session, helping traders spot early breakout levels.
Integrates TDI with momentum to generate precise bullish/bearish arrows, filtered by session context for improved reliability.
Simplifies decision-making with dynamic profile labels showing real-time long/short conditions based on price levels.
How Does It Work?
Session Tracking:
Asia (00:00–08:00 UTC, yellow), London (08:00–16:00 UTC, red), and New York (13:00–21:00 UTC, blue) sessions are highlighted with background colors and high/low lines (crosses).
OR boxes (first 15 minutes) are drawn for each session: yellow for Asia, red for London, blue for NY.
Profile Prediction:
Compares Asia and London session ranges and directions (e.g., trending if range > 1.5x 5-period SMA).
Examples:
Trend Continuation: Asia and London trend in the same direction—long above Asia high (uptrend) or short below Asia low (downtrend).
NY Manipulation: Asia trends, London consolidates—watch for NY breakouts at London high/low.
Displays the predicted profile and entry conditions in labels (e.g., "IF price hits 1.2000 LONG").
Momentum Arrows:
Uses TDI (RSI period 21, bands 34, fast MA 2) and 12-period momentum.
Green up arrow: Fast MA > upper band (>68) and momentum rising (bullish).
Red down arrow: Fast MA < lower band (<32) and momentum falling (bearish).
Support/Resistance (SR):
Plots dynamic SR boxes based on pivot highs/lows, filtered by volume (inspired by ChartPrime’s methodology, credited below).
How to Use It
Setup: Apply to a 15M–1H chart. Adjust time zone (default: UTC) and session times if needed. Customize TDI/momentum settings for sensitivity.
Trading:
Check the top-right labels for the current profile and entry conditions (e.g., "IF price hits LONG/SHORT").
Confirm entries with green up arrows (bullish) or red down arrows (bearish).
Use OR boxes and session high/low lines to identify breakout or reversal levels.
Example: In "NY Manipulation," wait for price to hit London high (long) or low (short) during NY session, confirmed by an arrow.
Best Markets: Forex (EUR/USD), indices (SPX500), crypto (BTC/USD) with sufficient intraday volatility.
Underlying Concepts
Session Profiling: Detects trends (range > SMA * threshold) and manipulation (e.g., London breaking Asia’s high/low) to predict NY behavior.
OR Boxes: Marks the first 15 minutes’ high/low as a breakout zone (time-based, 900,000 ms).
TDI + Momentum: Combines RSI-based bands with price change (close – close ) for momentum signals.
SR Boxes: Identifies pivots over a lookback period (default 20), scaled by ATR and filtered by volume thresholds.
Credits
The SR box logic is inspired by ChartPrime’s volume-filtered support/resistance methodology, adapted with custom breakout/hold detection. Original authors are credited for their foundational work.
Chart Setup
Displays session backgrounds, OR boxes, high/low lines, TDI arrows, and profile labels. Keep other indicators off for clarity.
BBVOL SwiftEdgeBBVOL SwiftEdge – Precision Scalping with Volume and Trend Filtering
Optimized for scalping and short-term trading on fast-moving markets (e.g., 1-minute charts), BBVOL SwiftEdge combines Bollinger Bands, Heikin Ashi smoothing, volume momentum, and EMA trend alignment to deliver actionable buy/sell signals with visual trend cues. Ideal for forex, crypto, and stocks.
What Makes BBVOL SwiftEdge Unique?
Unlike traditional Bollinger Bands scripts that focus solely on price volatility, BBVOL SwiftEdge enhances signal precision by:
Using Heikin Ashi to filter out noise and confirm trend direction, reducing false signals in choppy markets.
Incorporating volume analysis to ensure signals align with significant buying or selling pressure (customizable thresholds).
Adding an EMA overlay to keep trades in sync with the short-term trend.
Coloring candlesticks (green for bullish, red for bearish, purple for consolidation) to visually highlight market conditions at a glance.
How Does It Work?
Buy Signal: Triggers when price crosses above the lower Bollinger Band, Heikin Ashi shows bullish momentum (close > open), buy volume exceeds your set threshold (default 30%), and price is above the EMA. A green triangle appears below the candle.
Sell Signal: Triggers when price crosses below the upper Bollinger Band, Heikin Ashi turns bearish (close < open), sell volume exceeds the threshold (default 30%), and price is below the EMA. A red triangle appears above the candle.
Trend Visualization: Candles turn green when price is significantly above the Bollinger Bands’ basis (indicating a bullish trend), red when below (bearish trend), or purple when near the basis (consolidation), based on a customizable threshold (default 10% of BB width).
Risk Management: Each signal calculates a stop-loss (10% beyond the opposite band) and take-profit (opposite band), plotted for reference.
How to Use It
Timeframe: Best on 1-minute to 5-minute charts for scalping; test higher timeframes for swing trading.
Markets: Works well in volatile markets like forex pairs (e.g., EUR/USD), crypto (e.g., BTC/USD), or liquid stocks.
Customization: Adjust Bollinger Bands length (default 10), multiplier (default 1.2), volume thresholds (default 30%), EMA length (default 3), and consolidation threshold (default 0.1%) to match your strategy.
Interpretation: Look for green/red triangles as entry signals, confirmed by candle colors. Purple candles suggest caution—wait for a breakout. Use stop-loss/take-profit levels for trade management.
Underlying Concepts
Bollinger Bands: Measures volatility and identifies overbought/oversold zones.
Heikin Ashi: Smooths price action to emphasize trend direction.
Volume Momentum: Calculates cumulative buy/sell volume percentages to confirm market strength (e.g., buyVolPercent = buyVolume / totalVolume * 100).
EMA: A fast-moving average (default length 3) ensures signals align with the immediate trend.
Chart Setup
The chart displays Bollinger Bands (orange), Heikin Ashi close (green circles), EMA (purple), and volume-scaled lines (lime/red). Signals are marked with triangles, and candle colors reflect trend state. Keep the chart clean by focusing on these outputs for clarity.
Uptrick: Time Based ReversionIntroduction
The Uptrick: Time Based Reversion indicator is designed to provide a comprehensive view of market momentum and potential trend shifts by combining multiple moving averages, a streak-based trend analysis system, and adaptive color visualization. It helps traders identify strong trends, spot potential reversals, and make more informed trading decisions.
Purpose
The primary goal of this indicator is to assist traders in distinguishing between sustained market movements and short-lived fluctuations. By evaluating how price behaves relative to its moving averages, and by measuring consecutive streaks above or below these averages, the indicator highlights areas where trends are likely to continue or lose momentum.
Overview
Uptrick: Time Based Reversion calculates one or more moving averages of price data and then tracks the number of consecutive bars (streaks) above or below these averages. This streak-based detection provides insight into whether a trend is gaining strength or nearing a potential reversal point. The indicator offers:
• Multiple moving average types (SMA, EMA, WMA)
• Optional second and third moving average layers for additional smoothing of first moving average
• A streak detection system to quantify trend intensity
• A dynamic color scheme that changes with streak strength
• Optional buy and sell signals for potential trade entries and exits
• A ribbon mode that applies moving averages to Open, High, Low, and Close prices for a more detailed visualization of overall trend alignment
Originality and Uniqueness
Unlike traditional moving average indicators, Uptrick: Time Based Reversion incorporates a streak measurement system to detect trend strength. This approach helps clarify whether a price movement is merely a quick fluctuation or part of a longer-lasting trend. Additionally, the optional ribbon mode extends this logic to Open, High, Low, and Close prices, creating a layered and intuitive visualization that shows complete trend alignment.
Inputs and Features
1. Enable Ribbon Mode
This input lets you activate or deactivate the ribbon display of multiple moving averages. When enabled, the script plots moving averages for the Open, High, Low, and Close prices and uses color fills to show whether these four data points are collectively above or below their respective moving averages.
2. Color Scheme Selection
Users can choose from several predefined color schemes, such as Default, Emerald, Crimson, Sapphire, Gold, Purple, Teal, Orange, Gray, Lime, or Aqua. Each scheme assigns distinct bullish, bearish and neutral colors..
3. Show Buy/Sell Signals
The indicator can display buy or sell signals based on its streak analysis logic. These signals appear as markers on the chart, indicating a “Safe Uptrend” (buy) or “Safe Downtrend” (sell).
4. Moving Average Types and Lengths
• First MA Type and Length: Choose SMA, EMA, or WMA along with a customizable period.
• Second and Third MA Types and Lengths: You can optionally stack additional moving averages for further smoothing, each with its own customizable type and period.
5. Streak Threshold Multiplier
This numeric input determines how strong a streak must be before the script considers it a “safe” trend. A higher multiplier requires a longer or more intense streak for a buy or sell signal.
6. Dynamic Transparency Calculation
The color intensity adapts to the streak’s strength. Longer streaks increase the transparency of the opposing color, making the current dominant color stand out. This feature ensures that a vigorous uptrend or downtrend is visually distinct from short-lived or weaker moves.
7. Ribbon Moving Averages
In ribbon mode, the script calculates moving averages for the Open, High, Low, and Close prices. Each of these is optionally smoothed again if the second and/or third moving average layers are active. The final result is a ribbon of moving averages that helps confirm whether the market is uniformly aligned above or below these key reference points.
Calculation Methodology
1. Initial Moving Average
The script calculates the first moving average (SMA, EMA, or WMA) of the closing price over a user-defined period.
2. Optional Secondary and Tertiary Averages
If selected, the script then applies a second and/or third smoothing step. Each of these steps can be a different type of moving average (SMA, EMA, or WMA) with its own period length.
3. Streak Detection
The indicator counts consecutive bars above or below the smoothed moving average. A running total (streakUp or streakDown) increments with every bar that remains above or below that average.
4. Reversion Intensity
The script compares the current streak value to its own average (calculated over the final chosen period). This ratio determines whether the streak is nearing a likely reversion or is strong enough to continue.
5. Color Assignment and Signals
The indicator calculates color transparency based on streak intensity. Buy and sell signals appear when the streak meets or exceeds the threshold multiplier, indicating a safe uptrend or downtrend.
Color Schemes and Visualization
This indicator offers multiple predefined color sets. Each scheme specifies a unique bullish color, bearish color and neutral color. The script automatically varies transparency to highlight strong trends and fade weaker ones, making it visually clear when a trend is intensifying or losing momentum.
Smoothing Techniques
By allowing up to three layers of moving average smoothing, the indicator accommodates different trading styles. A single layer provides faster reactions to market changes, while more layers reduce noise at the cost of slower responsiveness. Traders can choose the right balance between responsiveness and stability for their strategy, whether it is short-term scalping or long-term trend following.
Why It Combines Specific Smoothing Techniques
The Uptrick: Time Based Reversion indicator strategically combines specific smoothing techniques—SMA, EMA, and WMA—to leverage their complementary strengths. The SMA provides stable and consistent trend identification by equally weighting all data points, while the EMA emphasizes recent price movements, allowing quicker responses to market changes. WMA enhances sensitivity to recent price shifts, which helps in detecting subtle momentum changes early. By integrating these methods in layers, the indicator effectively balances responsiveness with stability, helping traders clearly identify genuine trend changes while filtering out short-term noise and false signals.
Ribbon Mode
If Open, High, Low, and Close prices remain above or below their respective moving averages consistently, the script colors the bars fully bullish or bearish. When the data points are mixed, a neutral color is applied. This mode provides a thorough perspective on whether the entire price range is aligned in one direction or showing conflicting signals.
Summary
Uptrick: Time Based Reversion combines multiple moving averages, streak detection, and dynamic color adjustments to help traders identify significant trends and potential reversal areas. Its flexibility allows it to be used either in a simpler form, with one moving average and streak analysis, or in a more advanced configuration with ribbon mode that charts multiple smoothed averages for a deeper understanding of price alignment. By adapting color intensities based on streak strength and providing optional buy/sell signals, this indicator delivers a clear and flexible tool suited to various trading strategies.
Disclaimer
This indicator is designed as an analysis aid and does not guarantee profitable trades. Past performance does not indicate future success, and market conditions can change unexpectedly. Users are advised to employ proper risk management and thoroughly evaluate trades before taking positions. Use this indicator as part of a broader strategy, not as a sole decision-making tool.
Neural Pulse System [Alpha Extract]Neural Pulse System (NPS)
The Neural Pulse System (NPS) is a custom technical indicator that analyzes price action through a probabilistic lens, offering a dynamic view of bullish and bearish tendencies.
Unlike traditional binary classification models, NPS employs Ordinary Least Squares (OLS) regression with dynamically computed coefficients to produce a smooth probability output ranging from -1 to 1.
Paired with ATR-based bands, this indicator provides an intuitive and volatility-aware approach to trend analysis.
🔶 CALCULATION
The Neural Pulse System utilizes OLS regression to compute probabilities of bullish or bearish price action while incorporating ATR-based bands for volatility context:
Dynamic Coefficients: Coefficients are recalculated in real-time and scaled up to ensure the regression adapts to evolving market conditions.
Ordinary Least Squares (OLS): Uses OLS regression instead of gradient descent for more precise and efficient coefficient estimation.
ATR Bands: Smoothed Average True Range (ATR) bands serve as dynamic boundaries, framing the regression within market volatility.
Probability Output: Instead of a binary result, the output is a continuous probability curve (-1 to 1), helping traders gauge the strength of bullish or bearish momentum.
Formula:
OLS Regression = Line of best fit minimizing squared errors
Probability Signal = Transformed regression output scaled to -1 (bearish) to 1 (bullish)
ATR Bands = Smoothed Average True Range (ATR) to frame price movements within market volatility
🔶 DETAILS
📊 Visual Features:
Probability Curve: Smooth probability signal ranging from -1 (bearish) to 1 (bullish)
ATR Bands: Price action is constrained within volatility bands, preventing extreme deviations
Color-Coded Signals:
Blue to Green: Increasing probability of bullish momentum
Orange to Red: Increasing probability of bearish momentum
Interpretation:
Bullish Bias: Probability output consistently above 0 suggests a bullish trend.
Bearish Bias: Probability output consistently below 0 indicates bearish pressure.
Reversals: Extreme values near -1 or 1, followed by a move toward 0, may signal potential trend reversals.
🔶 EXAMPLES
📌 Trend Identification: Use the probability output to gauge trend direction.
📌Example: On a 1-hour chart, NPS moves from -0.5 to 0.8 as price breaks resistance, signaling a bullish trend.
Reversal Signals: Watch for probability extremes near -1 or 1 followed by a reversal toward 0.
Example: NPS hits 0.9, price touches the upper ATR band, then both retreat—indicating a potential pullback.
📌 Example snapshots:
Volatility Context: ATR bands help assess whether price action aligns with typical market conditions.
Example: During low volatility, the probability signal hovers near 0, and ATR bands tighten, suggesting a potential breakout.
🔶 SETTINGS
Customization Options:
ATR Period – Defines lookback length for ATR calculation (shorter = more responsive, longer = smoother).
ATR Multiplier – Adjusts band width for better volatility capture.
Regression Length – Controls how many bars feed into the coefficient calculation (longer = smoother, shorter = more reactive).
Scaling Factor – Adjusts the strength of regression coefficients.
Output Smoothing – Option to apply a moving average for a cleaner probability curve
Chaikin Money Flow with EnhancementsThis enhanced version of the Chaikin Money Flow (CMF) indicator is designed to help traders better understand market sentiment by visualizing momentum shifts and trends based on volume-weighted accumulation and distribution.
CMF Calculation: The CMF line is calculated using the typical CMF formula, which compares the close price to the high/low range, weighted by volume.
Fading Color Zones: Green and red fading zones are added between the CMF line and the zero line. Green represents bullish momentum (CMF above zero), and red represents bearish momentum (CMF below zero). These zones highlight key shifts in market sentiment.
Cross Detection: The indicator detects when the CMF crosses above or below the zero line, signaling potential trend changes. The price and CMF values at the time of the cross are stored and can be used for further analysis.
Average Line: A configurable moving average of the CMF is plotted to provide a smoothed trendline, helping traders identify the overall direction of market sentiment.
This indicator is ideal for traders who want to enhance their technical analysis by incorporating volume-weighted momentum indicators and identifying trend reversals more clearly.
Market Participation Index [PhenLabs]📊 Market Participation Index
Version: PineScript™ v6
📌 Description
Market Participation Index is a well-evolved statistical oscillator that constantly learns to develop by adapting to changing market behavior through the intricate mathematical modeling process. MPI combines different statistical approaches and Bayes’ probability theory of analysis to provide extensive insight into market participation and building momentum. MPI combines diverse statistical thinking principles of physics and information and marries them for subtle changes to occur in markets, levels to become influential as important price targets, and pattern divergences to unveil before it is visible by analytical methods in an old-fashioned methodology.
🚀 Points of Innovation:
Automatic market condition detection system with intelligent preset selection
Multi-statistical approach combining classical and advanced metrics
Fractal-based divergence system with quality scoring
Adaptive threshold calculation using statistical properties of current market
🚨 Important🚨
The ‘Auto’ mode intelligently selects the optimal preset based on real-time market conditions, if the visualization does not appear to the best of your liking then select the option in parenthesis next to the auto mode on the label in the oscillator in the settings panel.
🔧 Core Components
Statistical Foundation: Multiple statistical measures combined with weighted approach
Market Condition Analysis: Real-time detection of market states (trending, ranging, volatile)
Change Point Detection: Bayesian analysis for finding significant market structure shifts
Divergence System: Fractal-based pattern detection with quality assessment
Adaptive Visualization: Dynamic color schemes with context-appropriate settings
🔥 Key Features
The indicator provides comprehensive market analysis through:
Multi-statistical Oscillator: Combines Z-score, MAD, and fractal dimensions
Advanced Statistical Components: Includes skewness, kurtosis, and entropy analysis
Auto-preset System: Automatically selects optimal settings for current conditions
Fractal Divergence Analysis: Detects and grades quality of divergence patterns
Adaptive Thresholds: Dynamically adjusts overbought/oversold levels
🎨 Visualization
Color-coded Oscillator: Gradient-filled oscillator line showing intensity
Divergence Markings: Clear visualization of bullish and bearish divergences
Threshold Lines: Dynamic or fixed overbought/oversold levels
Preset Information: On-chart display of current market conditions
Multiple Color Schemes: Modern, Classic, Monochrome, and Neon themes
Classic
Modern
Monochrome
Neon
📖 Usage Guidelines
The indicator offers several customization options:
Market Condition Settings:
Preset Mode: Choose between Auto-detection or specific market condition presets
Color Theme: Select visual theme matching your chart style
Divergence Labels: Choose whether or not you’d like to see the divergence
✅ Best Use Cases:
Identify potential market reversals through statistical divergences
Detect changes in market structure before price confirmation
Filter trades based on current market condition (trending vs. ranging)
Find optimal entry and exit points using adaptive thresholds
Monitor shifts in market participation and momentum
⚠️ Limitations
Requires sufficient historical data for accurate statistical analysis
Auto-detection may lag during rapid market condition changes
Advanced statistical calculations have higher computational requirements
Manual preset selection may be required in certain transitional markets
💡 What Makes This Unique
Statistical Depth: Goes beyond traditional indicators with advanced statistical measures
Adaptive Intelligence: Automatically adjusts to current market conditions
Bayesian Analysis: Identifies statistically significant change points in market structure
Multi-factor Approach: Combines multiple statistical dimensions for confirmation
Fractal Divergence System: More robust than traditional divergence detection methods
🔬 How It Works
The indicator processes market data through four main components:
Market Condition Analysis:
Evaluates trend strength, volatility, and price patterns
Automatically selects optimal preset parameters
Adapts sensitivity based on current conditions
Statistical Oscillator:
Combines multiple statistical measures with weights
Normalizes values to consistent scale
Applies adaptive smoothing
Advanced Statistical Analysis:
Calculates higher-order statistical moments
Applies information-theoretic measures
Detects distribution anomalies
Divergence Detection:
Uses fractal theory to identify pivot points
Detects and scores divergence quality
Filters signals based on current market phase
💡 Note:
The Market Participation Index performs optimally when used across multiple timeframes for confirmation. Its statistical foundation makes it particularly valuable during market transitions and periods of changing volatility, where traditional indicators often fail to provide clear signals.
Stochastic Momentum Triangles[TheJackrabbit]This code is invite-only and in the experimental phase. Please contact the author if you are interested in testing.
**Stochastic Momentum Triangles ** is a custom indicator designed to integrate multiple dimensions of market momentum into a single, visual framework. Rather than relying on generic oscillators, this tool brings together stochastic calculations, price mapping, velocity measurement, and dynamic visual feedback to offer a layered view of market conditions.
#### Key Features and Components
- **Stochastic Calculations Mapped to Price Levels**
The indicator starts by computing the traditional stochastic oscillator values—%K, %D, and %J—over a user-defined period. These values are then mapped to the current price range. This mapping is achieved via a dedicated function that uses an exponential moving average and a rounding option, thereby linking momentum metrics directly with price dynamics.
- **Momentum Velocity and Its RSI**
To quantify the rate of change, the script calculates a “velocity” by measuring the difference in the price-mapped stochastic values over a specified lookback period. The resulting velocity values are then processed through a Relative Strength Index (RSI) calculation. This additional layer helps to provide a clearer picture of how rapidly market momentum is changing.
- **Triangle Area Measurement as a Volatility Proxy**
For each of the K, D, and J series, the indicator identifies the highest and lowest values within a user-specified lookback window and constructs triangles by connecting these extremes with the current value. The area of these triangles is computed, serving as an abstract measure of volatility and the range of price momentum. These areas are displayed alongside the velocity readings in an on-chart table for easy reference.
- **Dynamic Interpretation Label**
The tool also generates a concise reading in English that summarizes the relationships among the areas and velocity values. For example, it notes when one series, such as J, exhibits both the largest triangle area and the highest velocity. In such cases—suggesting an extended move or potential overextension—the label’s text color changes (to red) to visually alert the trader to an increased likelihood of a reversal. This approach allows traders to quickly assimilate the indicator’s data without overwhelming them with subjective language.
- **Additional Visual Elements**
Beyond the core calculations, the indicator includes a “momentum box” that captures the range of the stochastic-derived values over recent bars, as well as radial lines that provide a visual connection from the box’s reference point to current values. These elements together offer a structured, multi-faceted view of market dynamics.
#### Significance and Effects
This indicator takes a measured approach to integrating multiple aspects of market analysis. By combining price-based mapping with traditional stochastic and momentum measurements, it provides traders with:
- **A structured framework** to assess market range and momentum changes.
- **Visual cues** (such as the dynamic label and color changes) that highlight conditions warranting closer attention.
- **Tangible, calculated metrics**—triangle areas and velocity RSIs—that may assist in identifying potential reversal points.
Stochastic Momentum Triangles is intended to serve as a supplementary tool for traders who appreciate a quantitative perspective on market behavior. Its design focuses on clear, measurable outputs rather than relying on broad claims, allowing for a calm and thoughtful evaluation of market conditions.
Enhanced Order Flow Pressure GaugeShort Description:
Estimates bullish/bearish pressure by analyzing each candle’s close position within its range, then weighting that by volume. Detects potential trend shifts and provides real-time signals.
Full Description:
1. Purpose
The Enhanced Order Flow Pressure Gauge (OFPG+) is designed to approximate buy vs. sell pressure within each bar, even if you don’t have full Level II / order flow data. By measuring the candle’s close relative to its high-low range and multiplying by volume, OFPG+ provides insights into which side of the market (bulls or bears) is more aggressive in a given interval.
2. Key Components
Pressure Score (Histogram):
Raw measure of each bar’s close position (rangePos) minus midpoint, multiplied by volume. If the bar closes near its high with decent volume, the score is positive (bullish). Conversely, a close near its low yields a negative (bearish) reading.
Cumulative Pressure:
Sum of all pressure readings over time (similar to cumulative delta), reflecting the overall market bias.
Pressure Delta:
The change in cumulative pressure from one bar to the next, plotted as a line. Rising values suggest increasing bullish momentum, while falling values show growing bearish influence.
3. Visual Cues & Signals
Histogram (Pressure Profile): A color-coded bar for each candle, indicating net bullish (blue) or bearish (gray) intrabar pressure.
Pressure Delta Line: Plotted over the histogram. Turns bullish (blue) when net buy pressure is increasing, or bearish (gray) when net selling accelerates.
Background Highlights:
Turns lightly blue if the smoothed pressure line exceeds the positive threshold, or lightly gray if it goes below the negative threshold.
Bullish / Bearish Signals:
Bullish Signal occurs when the smoothed pressure line crosses above the positive threshold, combined with a positive Delta.
Bearish Signal occurs when the smoothed pressure line crosses below the negative threshold, combined with a negative Delta.
Confirmed Signals:
After a bullish/bearish signal, OFPG+ checks the highest or lowest smoothed pressure values over a user-defined number of bars (signalLookback) to confirm momentum.
Plotshapes (diamond icons) appear on the chart to mark these confirmed reversals.
4. Usage Scenarios
Trend-Following / Momentum: Watch for transitions from negative to positive net pressure or vice versa. Helps identify potential turning points.
Reversal Confirmation: The threshold-based signals plus the “confirmed” checks can help filter choppy conditions.
Volume-Weighted Insights: By factoring in volume, strong closes near the highs or lows are weighted more heavily, capturing sentiment shifts.
5. Inputs & Parameters
Smoothing Length (length): The EMA period for smoothing the raw pressure score.
Volume Weight (volWeight): Scales the volume impact on pressure calculations.
Pressure Threshold (threshold): Defines when pressure is considered significantly bullish or bearish.
Signal Lookback (signalLookback): Number of bars to confirm momentum after a signal.
6. Alerts
Bullish Signal & Confirmed Bullish
Bearish Signal & Confirmed Bearish
These alerts can notify you in real-time about potential shifts in the market’s buying or selling pressure.
7. Disclaimer
This script provides an approximation of order flow by analyzing candle structure and volume. It does not represent actual exchange-level order data.
Past performance is not necessarily indicative of future results. Always conduct thorough analysis and use proper risk management.
Not financial advice. Use at your own discretion.
WaveTrend Divergences, Candle Colouring and TP Signal [LuciTech]WaveTrend is a momentum-based oscillator designed to track trend strength, detect divergences, and highlight potential take-profit zones using Bollinger Bands. It provides a clear visualization of market conditions to help traders identify trend shifts and exhaustion points.
The WaveTrend Oscillator consists of a smoothed momentum line (WT Line) and a signal line, which work together to indicate trend direction and possible reversals. When the WT Line crosses above the signal line, it suggests bullish momentum, while crossing below signals bearish momentum.
Candle colouring changes dynamically based on WaveTrend crossovers. If the WT Line crosses above the signal line, candles turn bullish. If the WT Line crosses below the signal line, candles turn bearish. This provides an immediate visual cue for trend direction.
Divergence Detection identifies when price action contradicts the WaveTrend movement.
Bullish Divergence appears when price makes a lower low, but the WT Line forms a higher low, suggesting weakening bearish pressure.
Bearish Divergence appears when price makes a higher high, but the WT Line forms a lower high, indicating weakening bullish pressure.
Plus (+) Divergences are stronger signals that occur when the first pivot of the divergence happens at an extreme level—above +60 for bearish divergence or below -60 for bullish divergence. These levels suggest the market is overbought or oversold, making the divergence more significant.
Bollinger Band Signals highlight potential take-profit zones by detecting when the WT Line moves beyond its upper or lower Bollinger Band.
If the WT Line crosses above the upper band, it signals stretched bullish momentum, suggesting a possible pullback or reversal.
If the WT Line crosses below the lower band, it indicates stretched bearish momentum, warning of a potential bounce.
How It Works
The WaveTrend momentum calculation is based on an EMA-smoothed moving average to filter out noise and provide a more reliable trend indication.
The WT Line (momentum line) fluctuates based on market momentum.
The signal line smooths out the WT Line to help identify trend shifts.
When the WT Line crosses above the signal line, it suggests buying pressure, and when it crosses below, it indicates selling pressure.
Divergences are detected by comparing pivot highs and lows in price with pivot highs and lows in the WT Line.
A pivot forms when a local high or low is confirmed after a certain number of bars.
The indicator tracks whether price action and the WT Line are making opposite movements.
If a divergence occurs and the first pivot was beyond ±60, it is marked as a Plus Divergence, making it a stronger reversal signal.
Bollinger Bands are applied directly to the WT Line instead of price, identifying when the WT Line moves outside its volatility range. This helps traders recognize when momentum is overstretched and a potential reversal or retracement is likely.
Settings
Channel Length (default: 8) controls the period used to calculate the WT Line.
Average Length (default: 16) smooths the WT Line for better trend detection.
Divergences (on/off) enables or disables divergence plotting.
Candle colouring (on/off) applies or removes trend-based candle colour changes.
Bollinger Band Signals (on/off) toggles take-profit signals when the WT Line crosses the bands.
Bullish/Bearish colours allow customization of divergence and signal colours.
Interpretation
The WaveTrend Oscillator helps traders assess market momentum and trend strength.
Crossovers between the WT Line and signal line indicate potential trend reversals.
Divergences warn of weakening momentum and possible reversals, with Plus Divergences acting as stronger signals.
Bollinger Band Crosses highlight areas where momentum is overstretched, signaling potential profit-taking opportunities.
Balance Price Range (BPR) IndicatorOverview
The BPR with Directional Momentum-Filtered Breakouts indicator is designed to identify Balanced Price Ranges (BPR) and d etect high-probability breakouts and breakdowns with directional momentum confirmation . By leveraging historical BPR structures, EMA-based momentum filtering , and a trade cooldown mechanism , this script provides a structured approach to identifying potential trading opportunities while reducing false signals.
This invite-only indicator is ideal for traders who seek precise breakout confirmation, reduced noise, and trend-following logic while maintaining flexibility through adjustable parameters.
How It Works
The script follows a multi-step breakout detection process by integrating multiple key technical components:
1. Balanced Price Range (BPR) Detection:
• A Balanced Candle is identified when the price remains within a specific percentage of its range midpoint.
• These BPR zones represent areas of equilibrium , where a breakout or breakdown is likely to occur.
• The script historically tracks BPR levels across the entire chart to monitor price action around key areas.
2. Momentum-Filtered Breakout & Breakdown Logic:
• Bullish Breakout: Occurs when the price breaks above the historical BPR high with bullish momentum.
• Bearish Breakdown: Occurs when the price breaks below the historical BPR low with bearish momentum.
• Momentum Confirmation: Each breakout requires a strong directional move, measured against the Exponential Moving Average (EMA) .
• Only confirmed breakouts are marked, reducing the likelihood of false signals in choppy markets.
3. Candle-Based Background Visualization:
• Grey Background: Represents a Balanced Price Range (BPR), indicating potential breakout zones.
• Green Background: Indicates a Bullish Breakout when the price successfully breaks and holds above the BPR high.
• Red Background: Indicates a Bearish Breakdown when the price drops below the BPR low.
4. Trade Cooldown Mechanism:
• Prevents consecutive signals from triggering too frequently.
• Default cooldown period: 5 bars (adjustable).
• Ensures that trades are not clustered, improving signal quality.
5. EMA for Trend Direction & Confirmation:
• A 20-period EMA (default, adjustable) is used to confirm trade direction.
• Breakouts above the EMA align with uptrend continuation.
• Breakdowns below the EMA align with downtrend momentum.
Key Features
✔️ Historical BPR Detection – Tracks past BPR levels across the entire chart for structured breakout zones.
✔️ Momentum-Based Breakouts – Ensures breakouts are confirmed by directional price movement before generating signals.
✔️ Candle-Based Background Logic – Subtle candle highlights rather than full background fills, for better chart clarity.
✔️ Trade Cooldown Period – Prevents consecutive buy/sell signals within a defined period, improving signal efficiency.
✔️ Dynamic EMA Confirmation – Ensures trades align with the overall trend, reducing counter-trend trades.
✔️ Customizable Inputs – Adjust breakout thresholds, EMA length, and cooldown periods as per trading style.
✔️ Works Across Multiple Timeframes – Can be applied to intraday, swing, and positional trading strategies.
How to Use
1. Look for Balanced Price Ranges ( BPR )
• These zones highlight equilibrium areas where price is likely to break out.
• Grey-shaded candles indicate potential breakout zones.
2. Monitor for Bullish or Bearish Breakouts
• A green candle background signals a bullish breakout above BPR.
• A red candle background signals a bearish breakdown below BPR.
• The EMA filter helps confirm whether the breakout aligns with the prevailing trend.
3. Follow the Cooldown Logic
• After a breakout signal, wait for the cooldown period before another trade is allowed.
• This helps filter out noisy price action and prevents excessive trading.
4. Use Alongside Other Indicators
• Works well with volume analysis, support/resistance levels, and price action strategies.
• Can be combined with other momentum indicators for further trade confirmation.
Why This Combination?
Unlike generic breakout indicators, this script uniquely combines:
• BPR historical structures for defining potential breakout zones.
• Momentum-based breakout filtering using EMA confirmation.
• Trade cooldown logic to avoid excessive trading signals.
• Subtle candle-based highlights instead of cluttered full-background fills.
This structured approach makes the indicator more robust, adaptive, and reliable in different market conditions.
Why It’s Worth Using?
🔹 Avoid False Breakouts: Built-in momentum confirmation prevents weak or fake breakouts.
🔹 Clean Visualization: No excessive overlays—just precise, meaningful background coloring for breakouts.
🔹 Works in Any Market: Use on stocks, crypto, forex, indices, and commodities across different timeframes.
🔹 User-Friendly & Customizable: Fine-tune parameters to match individual trading styles.
⚠️ Note: This is an Invite-Only script. Access is granted to selected users.
✅ If you find it useful, consider incorporating it into your trend-following & breakout trading strategies.
🚀 Optimize your trading with structured breakout detection! 🚀
SuperTrend AI Oscillator StrategySuperTrend AI Oscillator Strategy
Overview
This strategy is a trend-following approach that combines the SuperTrend indicator with oscillator-based filtering.
By identifying market trends while utilizing oscillator-based momentum analysis, it aims to improve entry precision.
Additionally, it incorporates a trailing stop to strengthen risk management while maximizing profits.
This strategy can be applied to various markets, including Forex, Crypto, and Stocks, as well as different timeframes. However, its effectiveness varies depending on market conditions, so thorough testing is required.
Features
1️⃣ Trend Identification Using SuperTrend
The SuperTrend indicator (a volatility-adjusted trend indicator based on ATR) is used to determine trend direction.
A long entry is considered when SuperTrend turns bullish.
A short entry is considered when SuperTrend turns bearish.
The goal is to capture clear trend reversals and avoid unnecessary trades in ranging markets.
2️⃣ Entry Filtering with an Oscillator
The Super Oscillator is used to filter entry signals.
If the oscillator exceeds 50, it strengthens long entries (indicating strong bullish momentum).
If the oscillator drops below 50, it strengthens short entries (indicating strong bearish momentum).
This filter helps reduce trades in uncertain market conditions and improves entry accuracy.
3️⃣ Risk Management with a Trailing Stop
Instead of a fixed stop loss, a SuperTrend-based trailing stop is implemented.
The stop level adjusts automatically based on market volatility.
This allows profits to run while managing downside risk effectively.
4️⃣ Adjustable Risk-Reward Ratio
The default risk-reward ratio is set at 1:2.
Example: A 1% stop loss corresponds to a 2% take profit target.
The ratio can be customized according to the trader’s risk tolerance.
5️⃣ Clear Trade Signals & Visual Support
Green "BUY" labels indicate long entry signals.
Red "SELL" labels indicate short entry signals.
The Super Oscillator is plotted in a separate subwindow to visually assess trend strength.
A real-time trailing stop is displayed to support exit strategies.
These visual aids make it easier to identify entry and exit points.
Trading Parameters & Considerations
Initial Account Balance: Default is $7,000 (adjustable).
Base Currency: USD
Order Size: 10,000 USD
Pyramiding: 1
Trading Fees: $0.94 per trade
Long Position Margin: 50%
Short Position Margin: 50%
Total Trades (M5 Timeframe): 1,032
Visual Aids for Clarity
This strategy includes clear visual trade signals to enhance decision-making:
Green "BUY" labels for long entries
Red "SELL" labels for short entries
Super Oscillator plotted in a subwindow with a 50 midline
Dynamic trailing stop displayed for real-time trend tracking
These visual aids allow traders to quickly identify trade setups and manage positions with greater confidence.
Summary
The SuperTrend AI Oscillator Strategy is developed based on indicators from Black Cat and LuxAlgo.
By integrating high-precision trend analysis with AI-based oscillator filtering, it provides a strong risk-managed trading approach.
Important Notes
This strategy does not guarantee profits—performance varies based on market conditions.
Past performance does not guarantee future results. Markets are constantly changing.
Always test extensively with backtesting and demo trading before using it in live markets.
Risk management, position sizing, and market conditions should always be considered when trading.
Conclusion
This strategy combines trend analysis with momentum filtering, enhancing risk management in trading.
By following market trends carefully, making precise entries, and using trailing stops, it seeks to reduce risk while maximizing potential profits.
Before using this strategy, be sure to test it thoroughly via backtesting and demo trading, and adjust the settings to match your trading style.
Squeeze Momentum Indicator Strategy [LazyBear + PineIndicators]The Squeeze Momentum Indicator Strategy (SQZMOM_LB Strategy) is an automated trading strategy based on the Squeeze Momentum Indicator developed by LazyBear, which itself is a modification of John Carter's "TTM Squeeze" concept from his book Mastering the Trade (Chapter 11). This strategy is designed to identify low-volatility phases in the market, which often precede explosive price movements, and to enter trades in the direction of the prevailing momentum.
Concept & Indicator Breakdown
The strategy employs a combination of Bollinger Bands (BB) and Keltner Channels (KC) to detect market squeezes:
Squeeze Condition:
When Bollinger Bands are inside the Keltner Channels (Black Crosses), volatility is low, signaling a potential upcoming price breakout.
When Bollinger Bands move outside Keltner Channels (Gray Crosses), the squeeze is released, indicating an expansion in volatility.
Momentum Calculation:
A linear regression-based momentum value is used instead of traditional momentum indicators.
The momentum histogram is color-coded to show strength and direction:
Lime/Green: Increasing bullish momentum
Red/Maroon: Increasing bearish momentum
Signal Colors:
Black: Market is in a squeeze (low volatility).
Gray: Squeeze is released, and volatility is expanding.
Blue: No squeeze condition is present.
Strategy Logic
The script uses historical volatility conditions and momentum trends to generate buy/sell signals and manage positions.
1. Entry Conditions
Long Position (Buy)
The squeeze just released (Gray Cross after Black Cross).
The momentum value is increasing and positive.
The momentum is at a local low compared to the past 100 bars.
The price is above the 100-period EMA.
The closing price is higher than the previous close.
Short Position (Sell)
The squeeze just released (Gray Cross after Black Cross).
The momentum value is decreasing and negative.
The momentum is at a local high compared to the past 100 bars.
The price is below the 100-period EMA.
The closing price is lower than the previous close.
2. Exit Conditions
Long Exit:
The momentum value starts decreasing (momentum lower than previous bar).
Short Exit:
The momentum value starts increasing (momentum higher than previous bar).
Position Sizing
Position size is dynamically adjusted based on 8% of strategy equity, divided by the current closing price, ensuring risk-adjusted trade sizes.
How to Use This Strategy
Apply on Suitable Markets:
Best for stocks, indices, and forex pairs with momentum-driven price action.
Works on multiple timeframes but is most effective on higher timeframes (1H, 4H, Daily).
Confirm Entries with Additional Indicators:
The author recommends ADX or WaveTrend to refine entries and avoid false signals.
Risk Management:
Since the strategy dynamically sizes positions, it's advised to use stop-losses or risk-based exits to avoid excessive drawdowns.
Final Thoughts
The Squeeze Momentum Indicator Strategy provides a systematic approach to trading volatility expansions, leveraging the classic TTM Squeeze principles with a unique linear regression-based momentum calculation. Originally inspired by John Carter’s method, LazyBear's version and this strategy offer a refined, adaptable tool for traders looking to capitalize on market momentum shifts.
Power Play Signal Indicator [Masky18]Power Play Signal Indicator
The Power Play Signal Indicator is a sophisticated custom trading strategy designed to identify high-probability breakout and breakdown opportunities by combining consolidation detection, trend alignment, volume analysis, and relative strength ranking. Unlike simple mashups of existing indicators, this script integrates multiple technical concepts into a cohesive strategy that helps traders capitalize on market momentum with precision.
What Makes This Indicator Unique?
The PowerPlay Signal Indicator is not just a combination of existing indicators; it is a custom-built strategy that uses original logic to filter out low-probability setups and focus on high-quality trading opportunities. Here’s how it works:
Consolidation Detection:
The script identifies consolidation zones by analyzing price action over a user-defined period (default: 6 bars). It calculates the high, low, and midpoint of the consolidation range and ensures the price stays within a specified percentage range (default: 13%).
Consolidations are classified as Tight, Loose, or Okay, helping traders gauge the strength of the potential breakout or breakdown.
Breakout & Breakdown Logic:
Breakouts and breakdowns are confirmed using a combination of:
Price Action: The script checks if the price closes above the consolidation high (breakout) or below the consolidation low (breakdown).
Volume Analysis: A significant volume spike (default: 20% increase) is required to confirm the move.
MACD & Moving Averages: The script uses MACD and moving averages (50-day and 200-day) to ensure the breakout/breakdown aligns with the prevailing trend.
Trend Alignment:
The script ensures trades are aligned with the long-term trend by using:
50-day SMA and 200-day SMA to confirm uptrends or downtrends.
150-day SMA as an additional filter to ensure the trend is strong.
52-week high/low conditions to ensure the price is in a favorable position relative to its historical range.
Relative Strength Ranking:
The script compares the asset’s performance against a benchmark asset (e.g., SPY) to ensure it is outperforming the market. This is done using a customizable Relative Strength (RS) Threshold (default: 70).
Golden Candle Signals:
For high-probability setups, the script identifies Golden Candles—strong breakout or breakdown candles with:
Large price movement (default: 7.5% to 12.5% candle size).
High volume (default: 2x the average consolidation volume).
Alignment with MACD and moving averages.
Risk Management:
The script provides stop loss, trailing stop, and take profit levels based on:
ATR (Average True Range): Dynamic stop loss levels are calculated using ATR (default: 14-period ATR with a 2x multiplier).
Trailing Stop Percentage: User-defined trailing stop (default: 2%).
Take Profit Percentage: User-defined take profit (default: 5%).
Performance Tracking:
The script includes a Performance Table that tracks:
Total breakouts and breakdowns.
Successful and failed trades.
Win rates for breakouts and breakdowns.
Golden candle signals.
How Does It Work?
The PowerPlay Signal Indicator combines the following key components to generate signals:
Consolidation Detection:
The script calculates the high, low, and midpoint of the consolidation range over a user-defined period.
It ensures the price stays within a specified percentage range (default: 13%) to confirm consolidation.
Breakout/Breakdown Confirmation:
A breakout is confirmed when:
The price closes above the consolidation high.
Volume increases by at least 20%.
MACD is positive and above the signal line.
The price is above the 50-day and 200-day SMAs.
A breakdown is confirmed when:
The price closes below the consolidation low.
Volume increases by at least 20%.
MACD is negative and below the signal line.
The price is below the 50-day and 200-day SMAs.
Golden Candle Signals:
Golden Candles are identified when:
The candle size is between 7.5% and 12.5%.
Volume is at least 2x the average consolidation volume.
The candle aligns with the prevailing trend and MACD.
Risk Management:
Stop loss levels are calculated using ATR (default: 14-period ATR with a 2x multiplier).
Trailing stop and take profit levels are based on user-defined percentages.
How to Use the Indicator
Input Parameters:
Consolidation Periods: Set the number of bars to analyze for consolidation (default: 6).
Maximum Consolidation Range: Define the maximum percentage range for consolidation (default: 13%).
Stop Loss Factor: Adjust the stop loss multiplier based on the midpoint of the consolidation range (default: 0.985).
RS Threshold: Set the relative strength threshold for trend alignment (default: 70).
Comparison Asset: Enable comparison with a benchmark asset (e.g., SPY) to ensure the asset is outperforming the market.
Trailing Stop Percentage: Set the trailing stop percentage (default: 2%).
Take Profit Percentage: Set the take profit percentage (default: 5%).
Time Exit Bars: Define the maximum number of bars to hold a trade (default: 10).
Interpreting Signals:
Breakout Signal: A green label ("BO") appears when a breakout is detected.
Breakdown Signal: A red label ("BD") appears when a breakdown is detected.
Golden Candle Signal: A gold medal icon (🥇) appears for high-probability setups.
Performance Table:
The performance table displays the number of trades, successful trades, failed trades, and win rates for breakouts and breakdowns.
Alerts:
Enable alerts for breakouts, breakdowns, and golden candles to stay informed about potential trading opportunities.
Why Choose the PowerPlay Signal Indicator?
Original Logic: Combines consolidation detection, trend alignment, volume analysis, and relative strength ranking into a unique strategy.
High-Probability Signals: Focuses on high-quality setups with strong volume and trend alignment.
Risk Management: Built-in stop loss, trailing stop, and take profit options help you manage risk effectively.
Performance Tracking: Tracks trade outcomes and win rates to help you refine your strategy.
Customizable: Fully adjustable inputs allow you to adapt the indicator to your trading style and market conditions.
Multi-Asset & TF RSI
Multi-Asset & TF RSI
This indicator allows you to compare the Relative Strength Index (RSI) values of two different assets across multiple timeframes in a single pane. It’s ideal for traders who wish to monitor momentum across different markets or instruments simultaneously.
Key Features:
Primary Asset RSI:
The indicator automatically calculates the RSI for the chart’s asset. You can adjust the timeframe for this asset using a dropdown that offers standard TradingView timeframes, a "Chart" option (which syncs with your current chart timeframe), or a "Custom" option where you can enter any timeframe.
Optional Second Asset RSI:
Enable the “Display Second Asset” option to compare another asset’s RSI. Simply select the symbol (default is “DXY”) and choose its timeframe from an identical dropdown. When enabled, the second asset’s RSI is computed and plotted for easy comparison.
RSI Settings:
Customize the RSI length and choose the data source (e.g., close price) to suit your trading strategy.
Visual Aids:
Overbought (70) and oversold (30) levels are clearly marked, along with a midline at 50. These visual cues help you quickly assess market conditions.
Asset Information Table:
A dynamic table at the top of the pane displays the symbols being analysed – the chart’s asset as the “1st” asset and, if enabled, the second asset as the “2nd.”
How to Use:
Apply the Indicator:
Add the indicator to your chart. By default, it will calculate the RSI for the chart’s current asset using your chart’s timeframe.
Adjust Primary Asset Settings:
Use the “Main Asset Timeframe” dropdown to choose the timeframe for the RSI calculation on the chart asset. Select “Chart” to automatically match your current chart’s timeframe or choose a preset/custom timeframe.
Enable and Configure the Second Asset:
Toggle the “Display Second Asset” option to enable the second asset’s RSI. Select the asset symbol and its desired timeframe using the provided dropdown. The RSI for the second asset will be plotted if enabled.
Monitor the RSI Values:
Observe the plotted RSI lines along with the overbought/oversold levels. Use the table at the top-centre of the pane to verify which asset symbols are being displayed.
This versatile tool is designed to support multi-asset analysis and can be a valuable addition to your technical analysis toolkit. Enjoy enhanced RSI comparison across markets and timeframes!
Happy Trading!
Multi Asset & TF Stochastic
Multi Asset & TF Stochastic
This indicator allows you to compare the stochastic oscillator values of two different assets across multiple timeframes in a single pane. It’s designed for traders who want to analyse the momentum of one asset (by default, the chart’s asset) alongside a second asset of your choice (e.g., comparing EURUSD to the USD Index).
How It Works:
Main Asset:
The indicator automatically uses the chart’s asset for the primary stochastic calculation. You have the option to adjust the timeframe for this asset using a dropdown that includes TradingView’s standard timeframes, a "Chart" option (which automatically uses your chart’s timeframe), or a "Custom" option where you can type in any timeframe.
Second Asset:
You can enable the display of a second asset by toggling the “Display Second Asset” option. Choose the asset symbol (default is “DXY”) and select its timeframe from an identical dropdown. When enabled, the script calculates the stochastic oscillator for the second asset, allowing you to compare its momentum (%K and %D lines) with that of the main asset.
Stochastic Oscillator Settings:
Customize the %K length, the smoothing period for %K, and the smoothing period for %D. Both assets’ stochastic values are calculated using these parameters.
Visual Display:
The indicator plots the %K and %D lines for the main asset in prominent colours. If the second asset is enabled, its %K and %D lines are also plotted in different colours. Additionally, overbought (80) and oversold (20) levels are marked, with a midline at 50, making it easier to gauge market conditions at a glance.
%D line can be toggled off for a cleaner view if required:
Asset Information Table:
A table at the top-centre of the pane displays the active asset symbols—ensuring you always know which assets are being analysed.
How to Use:
Apply the Indicator:
Add the script to your chart. By default, it will use the chart’s current asset and timeframe for the primary stochastic oscillator.
Adjust the Main Asset Settings:
Use the “Main Asset Timeframe” dropdown to select a specific timeframe for the main asset or stick with the “Chart” option for automatic syncing with your current chart.
Enable and Configure the Second Asset (Optional):
Toggle on “Display Second Asset” if you wish to compare another asset. Select the desired symbol and adjust its timeframe using the provided dropdown. Choose “Custom” if you need a timeframe not listed by default.
Review the Plots and Table:
Observe the stochastic %K and %D lines for each asset. The overbought/oversold levels help indicate potential market turning points. Check the table at the top-centre to confirm the asset symbols being displayed.
This versatile tool is ideal for traders who rely on momentum analysis and need to quickly compare the stochastic signals of different markets or instruments. Enjoy seamless multi-asset analysis with complete control over your timeframe settings!
Pay Attention CandleThis is an attempt to detect the so called Pay Attention Candles from RexDog Trading System (RDTS). (They are not clearly defined by any specific set in stone rule, so this is just my interpretation)
You can turn on and off the bar highlight/triangles if chart gets too busy and you want only one of the indication types.
The way this is defined as evident in the code is - it looks at the candle size (without the wicks!!! only open to close) to decide whether it is larger than ATR mutlipied by a multiplier (1.5 by default here - you can adjust)
ATR period can also be adjusted but it's set to 9 by default.
Enjoy.
NLS - 52W High Screener (3, 5, 7 Days)This indicator automatically detects stocks that have reached a new 52-week high within the last 3, 5, or 7 days. Perfect for traders looking for breakouts and strong momentum stocks!
📊 Features:
✅ Identifies new 52-week highs within the last 3, 5, or 7 days
✅ Fully Screener-compatible – Easily filter stocks in the TradingView Screener
✅ Plots the 52-week high as a blue line in the chart for better visualization
✅ Built-in alerts to notify you when a new 52W high is reached
✅ Optimized for the 1D (daily) timeframe
🛠️ How to Use in the Screener:
1️⃣ Add & activate the indicator
2️⃣ Open the TradingView Screener
3️⃣ Filter using one of these columns:
Screener 52W High Last 3 Days
Screener 52W High Last 5 Days
Screener 52W High Last 7 Days
4️⃣ Set the filter to "is true" to see relevant stocks
📢 Alerts:
Get notified when a stock reaches a new 52-week high in the last 3, 5, or 7 days!
🔍 Ideal for:
✔ Trend-following & breakout traders 🚀
✔ Swing traders looking for strong stocks 📈
✔ Screener users searching for momentum setups
