Momentum + Keltner Stochastic Combo)The Momentum-Keltner-Stochastic Combination Strategy: A Technical Analysis and Empirical Validation
This study presents an advanced algorithmic trading strategy that implements a hybrid approach between momentum-based price dynamics and relative positioning within a volatility-adjusted Keltner Channel framework. The strategy utilizes an innovative "Keltner Stochastic" concept as its primary decision-making factor for market entries and exits, while implementing a dynamic capital allocation model with risk-based stop-loss mechanisms. Empirical testing demonstrates the strategy's potential for generating alpha in various market conditions through the combination of trend-following momentum principles and mean-reversion elements within defined volatility thresholds.
1. Introduction
Financial market trading increasingly relies on the integration of various technical indicators for identifying optimal trading opportunities (Lo et al., 2000). While individual indicators are often compromised by market noise, combinations of complementary approaches have shown superior performance in detecting significant market movements (Murphy, 1999; Kaufman, 2013). This research introduces a novel algorithmic strategy that synthesizes momentum principles with volatility-adjusted envelope analysis through Keltner Channels.
2. Theoretical Foundation
2.1 Momentum Component
The momentum component of the strategy builds upon the seminal work of Jegadeesh and Titman (1993), who demonstrated that stocks which performed well (poorly) over a 3 to 12-month period continue to perform well (poorly) over subsequent months. As Moskowitz et al. (2012) further established, this time-series momentum effect persists across various asset classes and time frames. The present strategy implements a short-term momentum lookback period (7 bars) to identify the prevailing price direction, consistent with findings by Chan et al. (2000) that shorter-term momentum signals can be effective in algorithmic trading systems.
2.2 Keltner Channels
Keltner Channels, as formalized by Chester Keltner (1960) and later modified by Linda Bradford Raschke, represent a volatility-based envelope system that plots bands at a specified distance from a central exponential moving average (Keltner, 1960; Raschke & Connors, 1996). Unlike traditional Bollinger Bands that use standard deviation, Keltner Channels typically employ Average True Range (ATR) to establish the bands' distance from the central line, providing a smoother volatility measure as established by Wilder (1978).
2.3 Stochastic Oscillator Principles
The strategy incorporates a modified stochastic oscillator approach, conceptually similar to Lane's Stochastic (Lane, 1984), but applied to a price's position within Keltner Channels rather than standard price ranges. This creates what we term "Keltner Stochastic," measuring the relative position of price within the volatility-adjusted channel as a percentage value.
3. Strategy Methodology
3.1 Entry and Exit Conditions
The strategy employs a contrarian approach within the channel framework:
Long Entry Condition:
Close price > Close price periods ago (momentum filter)
KeltnerStochastic < threshold (oversold within channel)
Short Entry Condition:
Close price < Close price periods ago (momentum filter)
KeltnerStochastic > threshold (overbought within channel)
Exit Conditions:
Exit long positions when KeltnerStochastic > threshold
Exit short positions when KeltnerStochastic < threshold
This methodology aligns with research by Brock et al. (1992) on the effectiveness of trading range breakouts with confirmation filters.
3.2 Risk Management
Stop-loss mechanisms are implemented using fixed price movements (1185 index points), providing definitive risk boundaries per trade. This approach is consistent with findings by Sweeney (1988) that fixed stop-loss systems can enhance risk-adjusted returns when properly calibrated.
3.3 Dynamic Position Sizing
The strategy implements an equity-based position sizing algorithm that increases or decreases contract size based on cumulative performance:
$ContractSize = \min(baseContracts + \lfloor\frac{\max(profitLoss, 0)}{equityStep}\rfloor - \lfloor\frac{|\min(profitLoss, 0)|}{equityStep}\rfloor, maxContracts)$
This adaptive approach follows modern portfolio theory principles (Markowitz, 1952) and Kelly criterion concepts (Kelly, 1956), scaling exposure proportionally to account equity.
4. Empirical Performance Analysis
Using historical data across multiple market regimes, the strategy demonstrates several key performance characteristics:
Enhanced performance during trending markets with moderate volatility
Reduced drawdowns during choppy market conditions through the dual-filter approach
Optimal performance when the threshold parameter is calibrated to market-specific characteristics (Pardo, 2008)
5. Strategy Limitations and Future Research
While effective in many market conditions, this strategy faces challenges during:
Rapid volatility expansion events where stop-loss mechanisms may be inadequate
Prolonged sideways markets with insufficient momentum
Markets with structural changes in volatility profiles
Future research should explore:
Adaptive threshold parameters based on regime detection
Integration with additional confirmatory indicators
Machine learning approaches to optimize parameter selection across different market environments (Cavalcante et al., 2016)
References
Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. The Journal of Finance, 47(5), 1731-1764.
Cavalcante, R. C., Brasileiro, R. C., Souza, V. L., Nobrega, J. P., & Oliveira, A. L. (2016). Computational intelligence and financial markets: A survey and future directions. Expert Systems with Applications, 55, 194-211.
Chan, L. K. C., Jegadeesh, N., & Lakonishok, J. (2000). Momentum strategies. The Journal of Finance, 51(5), 1681-1713.
Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. The Journal of Finance, 48(1), 65-91.
Kaufman, P. J. (2013). Trading systems and methods (5th ed.). John Wiley & Sons.
Kelly, J. L. (1956). A new interpretation of information rate. The Bell System Technical Journal, 35(4), 917-926.
Keltner, C. W. (1960). How to make money in commodities. The Keltner Statistical Service.
Lane, G. C. (1984). Lane's stochastics. Technical Analysis of Stocks & Commodities, 2(3), 87-90.
Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation. The Journal of Finance, 55(4), 1705-1765.
Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91.
Moskowitz, T. J., Ooi, Y. H., & Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250.
Murphy, J. J. (1999). Technical analysis of the financial markets: A comprehensive guide to trading methods and applications. New York Institute of Finance.
Pardo, R. (2008). The evaluation and optimization of trading strategies (2nd ed.). John Wiley & Sons.
Raschke, L. B., & Connors, L. A. (1996). Street smarts: High probability short-term trading strategies. M. Gordon Publishing Group.
Sweeney, R. J. (1988). Some new filter rule tests: Methods and results. Journal of Financial and Quantitative Analysis, 23(3), 285-300.
Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
Indicators and strategies
SMT SwiftEdge PowerhouseSMT SwiftEdge Powerhouse: Precision Trading with Divergence, Liquidity Grabs, and OTE Zones
The SMT SwiftEdge Powerhouse is a powerful trading tool designed to help traders identify high-probability entry points during the most active market sessions—London and New York. By combining Smart Money Technique (SMT) Divergence, Liquidity Grabs, and Optimal Trade Entry (OTE) Zones, this script provides a unique and cohesive strategy for capturing market reversals with precision. Whether you're a scalper or a swing trader, this indicator offers clear visual signals to enhance your trading decisions on any timeframe.
What Does This Script Do?
This script integrates three key concepts to identify potential trading opportunities:
SMT Divergence:
SMT Divergence compares the price action of two correlated assets (e.g., Nasdaq and S&P 500 futures) to detect hidden market reversals. When one asset makes a higher high while the other makes a lower high (bearish divergence), or one makes a lower low while the other makes a higher low (bullish divergence), it signals a potential reversal. This technique leverages institutional "smart money" behavior to anticipate market shifts.
Liquidity Grabs:
Liquidity Grabs occur when price breaks above recent highs or below recent lows on higher timeframes (5m and 15m), often triggering stop-loss orders from retail traders. These breakouts are identified using pivot points and confirm institutional activity, setting the stage for a reversal. The script focuses on liquidity grabs during the London and New York sessions for maximum market activity.
Optimal Trade Entry (OTE) Zones:
OTE Zones are Fibonacci-based retracement areas (e.g., 61.8%) calculated after a liquidity grab. These zones highlight where price is likely to retrace before continuing in the direction of the reversal, offering a high-probability entry point. The script adjusts the width of these zones using the Average True Range (ATR) to adapt to market volatility.
By combining these components, the script identifies when institutional activity (liquidity grabs) aligns with market reversals (SMT divergence) and pinpoints precise entry points (OTE zones) during high-liquidity sessions.
Why Combine These Components?
The integration of SMT Divergence, Liquidity Grabs, and OTE Zones creates a robust trading system for several reasons:
Synergy of Institutional Signals: SMT Divergence and Liquidity Grabs both reflect "smart money" behavior—divergence shows hidden reversals, while liquidity grabs confirm institutional intent to trap retail traders. Together, they provide a strong foundation for identifying high-probability setups.
Session-Based Precision: Focusing on the London and New York sessions ensures signals occur during periods of high volatility and liquidity, increasing their reliability.
Precision Entries with OTE: After confirming a setup with divergence and liquidity grabs, OTE zones provide a clear entry area, reducing guesswork and improving trade accuracy.
Adaptability: The script works on any timeframe, with adjustable settings for signal sensitivity, session times, and Fibonacci levels, making it versatile for different trading styles.
This combination makes the script unique by aligning institutional insights with actionable entry points, tailored to the most active market hours.
How to Use the Script
Setup:
Add the script to your chart (works on any timeframe, e.g., 1m, 5m, 15m).
Configure the settings in the indicator's inputs:
Session Settings: Adjust the start/end times for London and New York sessions (default: London 8-11 UTC, New York 13-16 UTC). You can disable session restrictions if desired.
Asset Settings: Set the primary and secondary assets for SMT Divergence (default: NQ1! and ES1!). Ensure the assets are correlated.
Signal Settings: Adjust the lookback period, ATR period, and signal sensitivity (Low/Medium/High) to control the frequency of signals.
OTE Settings: Choose the Fibonacci level for OTE zones (default: 61.8%).
Visual Settings: Enable/disable OTE zones, SMT labels, and debug labels for troubleshooting.
Interpreting Signals:
Blue Circles: Indicate a liquidity grab (price breaking a 5m or 15m pivot high/low), marking the start of a potential setup.
Blue OTE Zones: Appear after a liquidity grab, showing the retracement area (e.g., 61.8% Fibonacci level) where price is likely to enter for a reversal trade. The label "OTE Trigger 5m/15m" confirms the direction (Short/Long) and session.
Green/Red Entry Boxes: Mark precise entry points when price enters the OTE zone and confirms the SMT Divergence. Green boxes indicate a long entry, red boxes a short entry.
Trading Example:
On a 1m chart, a blue circle appears when price breaks a 5m pivot high during the London session.
A blue OTE zone forms, showing a retracement area (e.g., 61.8% Fibonacci level) with the label "OTE Trigger 5m/15m (Short, London)".
Price retraces into the OTE zone, and a red "Short Entry" box appears, confirming a bearish SMT Divergence.
Enter a short trade at the red box, with a stop-loss above the OTE zone and a take-profit at the next support level.
Originality and Utility
The SMT SwiftEdge Powerhouse stands out by merging SMT Divergence, Liquidity Grabs, and OTE Zones into a single, session-focused indicator. Unlike traditional indicators that focus on one aspect of price action, this script combines institutional reversal signals with precise entry zones, tailored to the most active market hours. Its adaptability across timeframes, customizable settings, and clear visual cues make it a versatile tool for traders seeking to capitalize on smart money movements with confidence.
Tips for Best Results
Use on correlated assets like NQ1! (Nasdaq futures) and ES1! (S&P 500 futures) for accurate SMT Divergence.
Test on lower timeframes (1m, 5m) for scalping or higher timeframes (15m, 1H) for swing trading.
Adjust the "Signal Sensitivity" to "High" for more signals or "Low" for fewer, high-quality setups.
Enable "Show Debug Labels" if signals are not appearing as expected, to troubleshoot pivot points and liquidity grabs.
VolVolVolVol: Volatility & Volume
The indicator consists of 3 oscillating components that are all represented on a positive/negative percentage scale.
Direction : Green/Red shaded area
Smoothened distance between Close and EMA of Close relative to StDev of Close
Intensity : Turquoise line
If direction = bullish: Smoothened distance between Low and EMA of Low relative to StDev of Low
If direction = bearish: Smoothened distance between High and EMA of High relative to StDev of High
Momentum : Fuchsia line
Double exponential average of bullish closing volume - bearish closing volume
The indicator provides the following signals on the candlestick charts based on the above components' movements.
Bullish position signals: Below candles
Bearish position signals: Above candles
Entry signal : Increase in all 3 factors or sharp increase in Intensity + Momentum
Add signal : Trend slowdown because of volume drop or retracement following a temporary consolidation
Exit signal : Increase in Intensity and Momentum against the prevailing trend direction
There may be simultaneous Bullish and Bearish signals. These should be treated as hedges for existing positions.
Trend Matrix Multi-Timeframe Dashboard(TechnoBlooms)Trend Matrix Multi-Timeframe Dashboard is a Minimalist Multi-Timeframe Trend Analyzer with Smart Indicator Integration. Trend Matrix MTF Dashboard is a clean, efficient, and visually intuitive trend analyzer built for traders who value simplicity without compromising on technical depth.
This dashboard empowers you to track trend direction across multiple timeframes using a curated set of powerful technical indicators—all from one compact visual panel. The design philosophy is simple: eliminate clutter, highlight trend clarity, and accelerate your decision-making process.
Key Features
✅ Minimalist Design with Maximum Insight
A compact dashboard view designed for clean charts and focused trading
Optimized layout shows everything you need—nothing you don’t
✅ Multi-Timeframe Access at a Glance
Instantly read the trend direction of selected indicators on multiple timeframes (e.g., 15m, 1h, 4h, 1D)
Customize the timeframe stack to fit scalping, intraday, swing, or positional strategies
✅ Robust Technical Indicators Built In
Each one is hand-picked for trend reliability:
MACD – Momentum and crossover confirmation
RSI – Overbought/oversold and directional shift
EMA – Dynamic support/resistance and trend bias
Bollinger Bands – Volatility structure and trend containment
PVT – Volume-Weighted Trend Confirmation
Supertrend – Price-following trend tracker
✅ Live Updates & Lightweight Performance
Built to update efficiently on every bar close
Minimal performance impact even with multiple timeframes active
By offering multi-timeframe (MTF) access to proven trend-following indicators, Trend Matrix helps you confidently align with the market’s dominant direction—without jumping between charts or analyzing indicators one by one.
This indicator offers customizable settings. The trader can choose the input parameters timeframes as per the choice.
Trend Matrix Multi-Timeframe Dashboard helps traders to identify trend based on technical indications. Trader can refer this while taking trading decisions.
🧠 Ideal For
Scalpers who need higher timeframe confirmation
Swing traders identifying clean entries aligned with the macro trend
Trend followers seeking clarity before committing capital
Price action & SMC traders validating market structure setups
Beginners who want a high-level trend guide without messy indicators
Log-Normal Price ForecastLog-Normal Price Forecast
This Pine Script creates a log-normal forecast model of future price movements on a TradingView chart, based on historical log returns. It plots expected price trajectories and bands representing different levels of statistical deviation.
Parameters
Model Length – Number of bars used to calculate average and standard deviation of log returns (default: 100).
Forecast Length – Number of bars into the future for which the forecast is projected (default: 100, max: 500).
Volatility SMA Length – The smoothing length for the standard deviation (default: 20).
Confidence Intervals – Confidence intervals for price bands (default: 95%, 99%, 99.9%).
Daily Levels & Stats Pro - [Aspect] v4.0# Description of the "Daily Levels & Stats Pro - v4.0" Indicator
This indicator is a powerful tool for market analysis through the lens of key daily levels and statistical price movement indicators. It allows you to display important trading session opening levels, daily statistical movements, and high volatility zones on the price chart.
## Main Indicator Functions:
### Key Time Levels:
- **Daily Open (DO)** - daily trading session opening level at 02:00
- **NY Midnight (NYM)** - New York session opening level at 06:00
- **Trade Open (TO)** - active trading opening level at 10:00
### Analysis Zones:
- **Previous Close Zone (PCZ)** - previous day's closing zone (displayed on M5 timeframe)
- **Open Day Zone (ODZ)** - current day's opening zone (displayed on M5 timeframe)
### Statistical Price Movement Levels:
- **Min** - minimum statistical movement from DO
- **Max** - maximum statistical movement from DO
- **Aver** - average statistical movement from DO
- **Dev-** - lower deviation of movement from DO
- **Dev+** - upper deviation of movement from DO
### TO Impulse Movement Statistical Levels:
- **Aver TO** - average statistical movement from TO
- **Dev+ TO** - upper deviation of movement from TO
- **Max TO** - maximum statistical movement from TO
## Indicator Features:
- Complete customization of colors, styles, and line widths for all levels
- Ability to select time for each main level
- Adjustment of the number of bars for level display
- Automatic calculation of level values relative to DO and TO
- Visual display of TO-levels starts 3 bars before the actual TO point, providing better visual perception
- Ability to enable/disable individual levels and zones
- Automatic updates and resets when the day changes
- Adaptive text labels to mark levels
This indicator is excellent for traders who use statistical data and daily support/resistance levels in their trading strategy. It is particularly useful for DAX40 and other highly liquid instruments where daily trading statistics are important for making trading decisions.
Market Sessions & Viewer Panel [By MUQWISHI]▋ INTRODUCTION :
The “Market Sessions & Viewer Panel” is a clean and intuitive visual indicator tool that highlights up to four trading sessions directly on the chart. Each session is fully customizable with its name, session time, and color. It also generates a panel that provides a quick-glance summary of each session’s candle/bar shape, helping traders gain insight into the volatility across all trading sessions.
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▋ OVERVIEW:
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▋ CREDIT:
This indicator utilizes the “ Timezone — Library ”. A huge thanks to @n00btraders for effort and well-organized work.
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▋ SESSION PANEL:
The Session Panel allows traders to visually compare session volatility using a candlestick/bar pattern.
Each bar represents the price action during a session and includes the session status, session name, closing price, change(%) from open, and a tooltip that reveals detailed OHLC and volume when hovered over.
Chart Type:
It offers two styles Bar or Candle to display based on traders’ preference
Sorting:
Allowing to arrange session candles/bars based on…
—Left to Right: The most recently opened on the left, moving backward in time to the right.
—Right to Left: The most recently opened on the right, moving backward in time to the left.
—Default: Arrange sessions in the user-defined input order.
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▋ CHART VISUALIZATION:
The chart visualization highlights each trading session using color-coded backgrounds in two selectable drawing styles that span their respective active timeframes. Each session block provides session’s name, close price, and change from open.
Chart Type: Candle
Chart Type: Box
Extra Drawing Feature:
This feature may not exist in other indicators within the same category, it extends the session block drawing to the projected end of the session. This's done through estimation based on historical data; however, it doesn’t function fully on seconds-based timeframes due to drawing limitations.
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▋ INDICATOR SETTINGS:
Section(1): Sessions
(1) Universal Timezone.
(2) Each Session: Enable/Disable, Name, Color, and Time.
Section(2): Session Panel
(1) Show/Hide Session Panel.
(2) Chart Type: Candle/Bar.
(3) Bar’s Up/Down color.
(4) Width and Height of the bar.
(5) Location of Session Panel on chat.
(6) Sort: Left to Right (most recent session is placed on the left), Right to Left (most recent session is placed on the right), and Default (as input arrangement).
Section(3): Chart Visualization
(1) Show/Hide Chart Block Visualization.
(2) Draw Shape: Box/Candle.
(3) Border Style and Size.
(4) Label Styling includes location, size, and some essential selectable infos.
Please let me know if you have any questions
for your comparison: Global M2 Money Supply // Days Offset =📈 Global M2 Money Supply Overlay – Offset Adjustable
This script plots an aggregated, FX-adjusted global M2 money supply index directly on your TradingView chart. It pulls M2 data from multiple global regions—including North America, Europe, Asia, Latin America, and more—and normalizes it for comparison in USD terms.
You can apply a custom time offset to the M2 line using the settings, allowing you to test potential leading or lagging correlations between global liquidity and market price action (e.g., Bitcoin, equities, commodities).
💡 Ideal for macro traders, long-term investors, and anyone interested in liquidity-driven market behavior.
Features:
Combines M2 data from 20+ countries and currency zones
FX-adjusted for consistency in USD terms
Offset slider to shift M2 data forward or backward in time
Scaled to trillions for readability
Plots directly on the main chart for visual comparison
Akkerman IMB + Targets IndicatorAkkerman IMB + Targets Indicator
The Akkerman IMB + Targets Indicator is a powerful tool for traders who use the Smart Money Concept (SMC) methodology for intraday trading. This indicator combines several key elements of technical analysis, such as IMB (Imbalance) zones, liquidity zones, and intraday targets, to help traders identify significant levels on the chart for potential entry and exit points.
Main Features of the Indicator:
IMB (Imbalance) Zones:
The indicator detects IMB zones (imbalances) on the chart, which are often significant for the market because these zones can signal unsupported price moves where the market may either retrace or continue the move.
Green box — indicates a bullish IMB, where the price moves downward but does not reach the previous "low" level.
Red box — indicates a bearish IMB, where the price moves upward but does not reach the previous "high" level.
Liquidity Zones:
The indicator automatically identifies liquidity zones, which are critical levels for potential retracements or breakouts. These zones are determined by equal highs and lows on the chart (where the price has made similar highs or lows).
Triangles or lines highlight levels where significant buy or sell orders might be gathered.
Intraday Target Lines:
The indicator generates targets for intraday trading based on support and resistance levels over the last 10 periods.
These target lines on the chart indicate potential entry or exit points based on the lowest and highest prices over the past 10 bars, which represent key points for trading within the current session.
Indicator Settings:
Show IMB: Toggle to show or hide IMB zones on the chart.
Show Liquidity Zones: Toggle to show or hide liquidity zones on the chart.
Show Targets (Intraday): Toggle to show or hide intraday target lines.
Max Targets (maxTargets): Set the maximum number of targets to display on the chart.
How to Use:
IMB Zones help identify potential retracement or breakout zones on the market. These zones are a critical part of Smart Money analysis, as markets often retrace to these areas after significant price moves.
Liquidity Zones provide clues about where large orders may be gathered, which could lead to a retracement or breakout.
Intraday Targets assist in identifying important levels for entering or exiting trades within the current session to take advantage of short-term price movements.
Important Notes:
This indicator works best on the 1-hour timeframe (H1) for more accurate and stable signals.
For maximum effectiveness, it is recommended to combine this indicator with other technical indicators and analysis methods.
HL2 Moving Average with BandsThis indicator is designed to assist traders in identifying potential trade entries and exits for S&P 500 (ES) and Nasdaq-100 (NQ) futures. It calculates a Simple Moving Average (SMA) based on the HL2 value (average of high and low prices) of the current candle over a user-defined lookback period (default: 200 periods). The indicator plots this SMA as a blue line, providing a smoothed reference for price trends.
Additionally, it includes upper and lower bands calculated as a percentage (default: 0.5%) above and below the SMA, plotted as green and red lines, respectively. These bands act as dynamic thresholds to identify overbought or oversold conditions. The indicator generates trade signals based on price action relative to these bands:
Long Entry: A green upward triangle is plotted below the candle when the close crosses above the upper band, signaling a potential buy.
Close Long: A red square is plotted above the candle when the close crosses back below the upper band, indicating an exit for the long position.
Short Entry: A red downward triangle is plotted above the candle when the close crosses below the lower band, signaling a potential sell.
Close Short: A green square is plotted below the candle when the close crosses back above the lower band, indicating an exit for the short position.
The script is customizable, allowing users to adjust the SMA length and band percentage to suit their trading style or market conditions. It is plotted as an overlay on the price chart for easy integration with other technical analysis tools.
Recommended Time Frame and Settings for Trading S&P 500 and Nasdaq-100 Futures
Based on research and market dynamics for S&P 500 (ES) and Nasdaq-100 (NQ) futures, the 5-minute chart is recommended as the optimal time frame for day trading with this indicator. This time frame strikes a balance between capturing intraday trends and filtering out excessive noise, which is critical for futures trading due to their high volatility and leverage. The 5-minute chart aligns well with periods of high liquidity and volatility, such as the U.S. market open (9:30 AM–11:00 AM EST) and the afternoon session (2:00 PM–4:00 PM EST), when institutional traders are most active.
Why 5-minute? It allows traders to react to short-term price movements while avoiding the rapid fluctuations of 1-minute charts, which can be prone to false signals in choppy markets. It also provides enough data points to make the SMA and bands meaningful without the lag associated with longer time frames like 15-minute or hourly charts.
Recommended Settings
SMA Length: Set to 200 periods. This longer lookback period smooths the HL2 data, reducing noise and providing a reliable trend reference for the 5-minute chart. A 200-period SMA helps identify significant trend shifts without being overly sensitive to minor price fluctuations.
Band Percentage: 0.5% is more suitable for the volatility of ES and NQ futures on a 5-minute chart, as it generates fewer but higher-probability signals. Wider bands (e.g., 1%) may miss short-term opportunities, while narrower bands (e.g., 0.1%) may produce excessive false signals.
Trading Session Recommendations
Futures markets for ES and NQ are open nearly 24 hours (Sunday 6:00 PM EST to Friday 5:00 PM EST, with a daily break from 4:00 PM–5:00 PM EST), but not all hours are equally optimal due to varying liquidity and volatility. The best times to trade with this indicator are:
U.S. Market Open (9:30 AM–11:00 AM EST): This period is characterized by high volume and volatility, driven by the opening of U.S. equity markets and economic data releases (e.g., 8:30 AM EST reports like CPI or GDP). The indicator’s signals are more reliable during this window due to strong order flow and price momentum.
Afternoon Session (2:00 PM–4:00 PM EST): After the lunchtime lull, volume picks up as institutional traders return, and news or FOMC announcements often drive price action. The indicator can capture breakout moves as prices test the upper or lower bands.
Pre-Market (7:30 AM–9:30 AM EST): For traders comfortable with lower liquidity, this period can offer opportunities, especially around 8:30 AM EST economic releases. However, use tighter risk management due to wider spreads and potential volatility spikes.
Additional Tips
Avoid Low-Volume Periods: Steer clear of trading during low-liquidity hours, such as the overnight session (11:00 PM–3:00 AM EST), when spreads widen and price movements can be erratic, leading to false signals from the indicator.
Combine with Other Tools: Enhance the indicator’s effectiveness by pairing it with support/resistance levels, Fibonacci retracements, or volume analysis to confirm signals. For example, a long entry signal above the upper band is stronger if it coincides with a breakout above a key resistance level.
Risk Management: Given the leverage in futures (e.g., Micro E-mini contracts require ~$1,200 margin for ES), use tight stop-losses (e.g., below the lower band for longs or above the upper band for shorts) to manage risk. Aim for a risk-reward ratio of at least 1:2.
Test Settings: Backtest the indicator on a demo account to optimize the SMA length and band percentage for your specific trading style and risk tolerance. Micro E-mini contracts (MES for S&P 500, MNQ for Nasdaq-100) are ideal for testing due to their lower capital requirements.
Why These Settings and Time Frame?
The 5-minute chart with a 200-period SMA and 0.5% bands is tailored for the volatility and liquidity of ES and NQ futures during peak trading hours. The longer SMA period ensures the indicator captures meaningful trends, while the 0.5% bands are tight enough to signal actionable breakouts but wide enough to avoid excessive whipsaws. Trading during high-volume sessions maximizes the likelihood of valid signals, as institutional participation drives clearer price action.
By focusing on these settings and time frames, traders can leverage the indicator to capitalize on the dynamic price movements of S&P 500 and Nasdaq-100 futures while managing the inherent risks of these markets.
Log-Normal Z-ScoreLog-Normal Z-Score
This Pine Script indicator calculates a modified Z-Score based on log-normal returns, aiming to identify statistically significant price deviations.
Indicator Parameters:
Model Length: The number of bars used to calculate the mean and standard deviation of log returns.
Lookback Length: The number of bars used to compute the lookback return and volatility. This is the main timeframe over which the Z-Score is calculated.
Volatility SMA Length: The smoothing length for the volatility, applying a simple moving average to the calculated volatility.
TDO & Hit Rates by Weekday (5 min)Purpose
Tracks how often the next NY session “hits” the previous day’s True Day Open (TDO) level, separately for sessions that open above vs. below TDO, and breaks the statistics down by weekday (Mon–Fri) plus an overall summary.
Key Features
True Day Open (TDO) Plot
Captures the prior day’s 23:00 CT close price as the TDO.
Plots it as a continuous yellow line across your chart.
Session Labeling
At the end of each NY session (08:30–15:00 CT), places a small “TDO” label at the TDO price to confirm visually where it lay during that day.
Hit‑Count Logic
For each 5 min bar in the NY session, checks if the bar’s high ≥ TDO ≥ low (i.e. the TDO level was “hit”).
Classifies each session by whether its opening price (first 5 min bar) was above or below the TDO.
Weekday Statistics Table
Displays in the bottom‑left of your main chart window.
Rows: Header, Mon, Tue, Wed, Thu, Fri, All.
Columns:
% Hit Above: % of “above‑TDO” sessions that saw at least one hit
% Hit Below: % of “below‑TDO” sessions that saw at least one hit
Automatically updates in real time as new sessions complete.
Inputs & Settings
Data Resolution: Default = 5 min; use any intraday timeframe you like (1, 3, 15 min, etc.).
Extended Hours: Make sure your chart’s Extended Session (overnight) is enabled so the 23:00 CT bar exists.
Overlay: Draws directly on your price chart (no separate pane).
How to Use
Add to Chart: Paste the Pine v5 code into TradingView’s editor and apply to your ES (or other) futures chart.
Enable Overnight Bars: In Chart Settings → Symbol/Session → include Extended Hours.
Select Timeframe: Set the chart (or the indicator’s “Data Resolution” input) to 5 min (or your preferred intraday).
Read the Table:
Each weekday row shows how reliable TDO touches have been historically, separately for “above” and “below” opens.
The bottom “All” row summarizes combined performance.
What You Learn
Edge Analysis: Do sessions opening above TDO tend to test that level more often than those opening below (or vice versa)?
Day‑of‑Week Bias: Are certain weekdays more prone to TDO retests?
Overall Confidence: The “All” row lets you see your full-sample hit‑rate on both sides.
Zen MIG Reversal V1**Zen MIG Reversal V1**
Zen MIG Reversal is a pattern-based indicator that highlights rare reversal setups.
It’s designed to support traders in visually identifying potential turning points, especially following strong momentum or gap-style moves.
**How it works:**
- **Bullish Reversal:**
Detects 3 consecutive bullish candles. The third bar must have a low above the high of the first bar and below the 20 EMA. When this occurs, a light blue box is drawn across the 3-bar range, from high to the current bar’s low. A blue arrow appears below the prior bar.
- **Bearish Reversal:**
Detects 3 consecutive bearish candles. The third bar must have a high below the low of the first bar and above the 20 EMA. A light red box is drawn from low to the current bar’s high. A red arrow appears above the prior bar.
- Optional settings allow you to:
- Show or hide the EMA line
- Toggle the arrows
- Adjust smoothing settings for context
**Purpose:**
It’s best used for discretionary analysis, journaling, or studying price behavior in momentum-driven environments.
**Disclaimer:**
This script is for educational and informational purposes only. It does not provide financial advice or trade recommendations. Always backtest and use proper risk management before applying any indicator to live trading.
Log-Normal Price DistributionThis Pine Script indicator plots a log-normal distribution model of future price projections on a TradingView chart. It visualizes the potential price ranges based on the statistical properties (mean and standard deviation) of log returns over a defined period. It's particularly useful for analyzing potential volatility and predicting future price ranges.
Engulfing Candle with Streaks and CountIdentifies Engulfing Candles + The Number of Consecutive Signals + Identifies 3rd/4th Consecutive Signals + Keeps Count of Most Recent Number of Signals as Decided by User.
- Have coded in the latest version 6
- This script allows the tracking of engulfing candles over a user defined amount of time (candles).
- The script will signal every engulfing candle and its consecutive corresponding number across the entire chart.
- The Engulfing Count box in the bottom right counts how many bullish and bearish engulfing candles have occurred over the number decided by the user.
- The Engulfing Signal that prints is triggered when an opposite next candle prints and the body is over 100% larger than the previous candle. It does not need to "fully engulf" the previous candle, the coding has an allowance for an "equal to and greater/smaller than" the previous close price. This allows for signals were the open of the engulfing candle can be equal to the close of the previous opposite, however the engulfing still must reach an over 100% sizing of the previous to print a signal.
- Where a piercing candle occurs and the open price is within the body of the previous candle, this will void the equation and no matter how big the candle is, it will not trigger an engulfing signal as I was only looking for true engulfing candles.
- The script keeps count of the same consecutive signals no matter the timeframe.
- It will print the consecutive number above or below the signal (depending if bullish or bearish).
- To assist with trend identification the 3rd consecutive signal will print blue, and the 4th consecutive signal will print yellow (or I prefer to use the term "Gold"). This can help filter out the noise on lower timeframes to assist to see where the momentum is going, or if there are signals going against the trend to try trick traders.
- Back testing I found the 3rd and 4th signals are uncommon on higher timeframes and tend to act as fake-outs before the trend reverses.
- Overall a good tool to add to your trend analysis, either for additional confluence or to assist with reversal identification.
- Colors are set as default, but everything can be changed by the user as I didn't want to limit its possibilities.
*** Please note that this script does not take into any consideration candle wicks. Although it can be used with Heikin Ashi it is somewhat unreliable. This indicator is designed to be used with standard candles only ***
position_toolLibrary "position_tool"
Trying to turn TradingView's position tool into a library from which you can draw position tools for your strategies on the chart. Not sure if this is going to work
calcBaseUnit()
Calculates the chart symbol's base unit of change in asset prices.
Returns: (float) A ticks or pips value of base units of change.
calcOrderPipsOrTicks(orderSize, unit)
Converts the `orderSize` to ticks.
Parameters:
orderSize (float) : (series float) The order size to convert to ticks.
unit (simple float) : (simple float) The basic units of change in asset prices.
Returns: (int) A tick value based on a given order size.
calcProfitLossSize(price, entryPrice, isLongPosition)
Calculates a difference between a `price` and the `entryPrice` in absolute terms.
Parameters:
price (float) : (series float) The price to calculate the difference from.
entryPrice (float) : (series float) The price of entry for the position.
isLongPosition (bool)
Returns: (float) The absolute price displacement of a price from an entry price.
calcRiskRewardRatio(profitSize, lossSize)
Calculates a risk to reward ratio given the size of profit and loss.
Parameters:
profitSize (float) : (series float) The size of the profit in absolute terms.
lossSize (float) : (series float) The size of the loss in absolute terms.
Returns: (float) The ratio between the `profitSize` to the `lossSize`
createPosition(entryPrice, entryTime, tpPrice, slPrice, entryColor, tpColor, slColor, textColor, showExtendRight)
Main function to create a position visualization with entry, TP, and SL
Parameters:
entryPrice (float) : (float) The entry price of the position
entryTime (int) : (int) The entry time of the position in bar_time format
tpPrice (float) : (float) The take profit price
slPrice (float) : (float) The stop loss price
entryColor (color) : (color) Color for entry line
tpColor (color) : (color) Color for take profit zone
slColor (color) : (color) Color for stop loss zone
textColor (color) : (color) Color for text labels
showExtendRight (bool) : (bool) Whether to extend lines to the right
Returns: (bool) Returns true when position is closed
MACD Bullish Cross Alert📘 Indicator Description – MACD Bullish Cross Alert
This indicator is designed to detect bullish momentum shifts using the classic MACD (Moving Average Convergence Divergence) crossover strategy.
Key Features:
Calculates the MACD Line and Signal Line using customizable inputs (default: 12, 26, 9).
Triggers an alert when the MACD Line (blue) crosses above the Signal Line (orange).
Helps identify early bullish trend reversals or momentum entry points.
Ideal for swing traders, position traders, and crypto investors using the weekly timeframe.
How to Use:
Add to any chart and set the timeframe to 1W (weekly).
Create an alert using the built-in MACD Bullish Crossover condition.
Combine with price action, volume, or RSI for higher conviction entries.
Use Cases:
Spotting early entry points after long downtrends.
Confirming a trend reversal in high timeframes.
Generating high-probability entries in trend-following systems.
The Hebrew CalendarThis indicator displays the current Hebrew (Jewish) calendar date based on the real-time Gregorian calendar. Features included:
Calculates and displays the current Hebrew day, month, and year.
Recognizes leap years and adjusts month counts accordingly.
Aligns with traditional Hebrew month names (Tishrei, Cheshvan, Kislev, etc.).
The calculations align with the Hebrew Calendar Converter from:
👉 www.chabad.org
The results are shown in a table overlay on your chart's top-right corner. This indicator is great for symbolic traders, astro enthusiasts, or anyone interested in ancient timekeeping systems woven into financial timeframes. Enjoy, time travelers! ⌛
The Mayan CalendarThis indicator displays the current date in the Mayan Calendar, based on real-time UTC time. It calculates and presents:
🌀 Long Count (Baktun.Katun.Tun.Uinal.Kin) – A linear count of days since the Mayan epoch (August 11, 3114 BCE).
🔮 Tzolk'in Date – A 260-day sacred cycle combining a number (1–13) and one of 20 day names (e.g., 4 Ajaw).
🌾 Haab' Date – A 365-day civil cycle divided into 18 months of 20 days + 5 "nameless" days (Wayeb').
The calculations follow Smithsonian standards and align with the Maya Calendar Converter from the National Museum of the American Indian:
👉 maya.nmai.si.edu
The results are shown in a table overlay on your chart's top-right corner. This indicator is great for symbolic traders, astro enthusiasts, or anyone interested in ancient timekeeping systems woven into financial timeframes. Enjoy, time travelers! ⌛
Horizontal Price TableOverview:
This script displays a dynamic price table on your chart, showing real-time prices and daily percentage changes for up to 7 user-defined tickers. You can customize both which tickers are shown and how many are visible, all through the settings panel.
How it works (Step-by-Step):
User-Defined Tickers:
The script provides input fields for up to 7 tickers using input.symbol(). You can track stocks, indexes, ETFs, crypto, or futures — anything supported by TradingView.
Choose How Many to Display:
An additional dropdown lets you choose how many of the 7 tickers to actually display (between 1 and 7). This gives you control over screen space and focus.
Market Data Fetching:
For each displayed ticker, the script fetches:
The current day’s closing price (close)
The previous day’s closing price (close )
This data is pulled using request.security() on the daily timeframe (1D).
% Change Calculation:
The script calculates the daily percentage change using:
(Current Price−Previous Close)/Previous Close×100(Current Price−Previous Close)/Previous Close×100
Cleaned Ticker Names:
Ticker symbols often include an exchange prefix like NASDAQ:AAPL. The script automatically removes anything before the colon (:), so only the clean symbol (e.g., AAPL) is shown in the table.
Table Display:
A visual table appears at the top-center of your chart, showing:
Row 1: Ticker symbol (cleaned)
Row 2: Current price (rounded to 2 decimals)
Row 3: Daily % change (green for gains, red for losses)
Customization:
You can choose the background color of the table.
Ticker names appear in white text with a gray background.
% change is color-coded: green for positive, red for negative.
Why Use This Script?
Track multiple tickers at once without leaving your chart.
Clean, customizable layout.
Useful for monitoring watchlists, portfolios, or related markets.
Tips:
Combine this with your favorite indicators for a personalized dashboard.
Works great on any chart or timeframe.
Ensure the tickers entered are valid on TradingView (e.g., SPY, BTCUSD, NQ1!, etc.).
Sentiment Bias Gauge📌 Overview
The Sentiment Bias Gauge (SBG) is a unique overlay-style indicator that visually maps a sentiment value—such as market bullishness or bearishness—onto your price chart. It converts sentiment data (in this case, RSI-based) into a floating line that moves between defined price zones, allowing users to quickly understand the current market mood in the context of price.
⚙️ How It Works
• The indicator uses RSI (Relative Strength Index) as a proxy for market sentiment (0 to 100 scale).
• This sentiment value is then mapped to a vertical price range on your chart using a configurable zone (via top and bottom percent of chart range).
• The line floats up or down within the price chart, reflecting how bullish or bearish the sentiment is.
• It includes background shading to represent the sentiment level:
• 🔴 Red (Bearish): sentiment < 30
• 🟡 Yellow (Neutral): 30 ≤ sentiment ≤ 70
• 🟢 Green (Bullish): sentiment > 70
• A floating label shows the current sentiment score.
🌟 Key Features
• 📈 Overlay-Based Sentiment Line: Plots sentiment as a price-level line, giving intuitive spatial reference.
• 🔧 Configurable Range Placement: Adjust where the sentiment line appears within the chart’s high-low range.
• 🖌️ Color-Coded Background: Visually distinguish bullish, bearish, and neutral conditions.
• 🏷️ Real-Time Sentiment Label: Displays updated sentiment score on the most recent bar.
🧠 How to Use
• Use this indicator alongside your price action or technical strategy to gauge market mood.
• Combine with other sentiment indicators (e.g., fear/greed, delta volume, news sentiment).
• Especially helpful in sideways markets to identify potential shifts in bias before price reacts.
Why This Combination?
• RSI offers a reliable and intuitive proxy for market sentiment.
• Mapping the value directly onto the chart helps avoid constantly looking at a separate panel.
• The customizable chart range lets traders fit sentiment visuals within any market structure.
🎯 Why It’s Worth Using
• Makes sentiment visually accessible directly on the chart.
• Helps detect bullish/bearish bias shifts earlier than traditional indicators.
• A great tool for sentiment-aware discretionary trading or contextual overlays in algo strategies.
Options Volume ProfileOptions Volume Profile
Introduction
Unlock institutional-level options analysis directly on your charts with Options Volume Profile - a powerful tool designed to visualize and analyze options market activity with precision and clarity. This indicator bridges the gap between technical price action and options flow, giving you a comprehensive view of market sentiment through the lens of options activity.
What Is Options Volume Profile?
Options Volume Profile is an advanced indicator that analyzes call and put option volumes across multiple strikes for any symbol and expiration date available on TradingView. It provides a real-time visual representation of where money is flowing in the options market, helping identify potential support/resistance levels, market sentiment, and possible price targets.
Key Features
Comprehensive Options Data Visualization
Dynamic strike-by-strike volume profile displayed directly on your chart
Real-time tracking of call and put volumes with custom visual styling
Clear display of important value areas including POC (Point of Control)
Value Area High/Low visualization with customizable line styles and colors
BK Daily Range Identification
Secondary lines marking significant volume thresholds
Visual identification of key strike prices with substantial options activity
Value Area Cloud Visualization
Configurable cloud overlays for value areas
Enhanced visual identification of high-volume price zones
Detailed Summary Table
Complete breakdown of call and put volumes per strike
Percentage analysis of call vs put activity for sentiment analysis
Color-coded volume data for instant pattern recognition
Price data for both calls and puts at each strike
Custom Strike Selection
Configure strikes above and below ATM (At The Money)
Flexible strike spacing and rounding options
Custom base symbol support for various options markets
Use Cases
1. Identifying Key Support & Resistance
Visualize where major options activity is concentrated to spot potential support and resistance zones. The POC and Value Area lines often act as magnets for price.
2. Analyzing Market Sentiment
Compare call versus put volume distribution to gauge directional bias. Heavy call volume suggests bullish sentiment, while heavy put volume indicates bearish positioning.
3. Planning Around Institutional Activity
Volume profile analysis reveals where professional traders are positioning themselves, allowing you to align with or trade against smart money.
4. Setting Precise Targets
Use the POC and Value Area High/Low lines as potential profit targets when planning your trades.
5. Spotting Unusual Options Activity
The color-coded volume table instantly highlights anomalies in options flow that may signal upcoming price movements.
Customization Options
The indicator offers extensive customization capabilities:
Symbol & Data Settings : Configure base symbol and data aggregation
Strike Selection : Define number of strikes above/below ATM
Expiration Date Settings : Set specific expiry dates for analysis
Strike Configuration : Customize strike spacing and rounding
Profile Visualization : Adjust offset, width, opacity, and height
Labels & Line Styles : Fully configurable text and visual elements
Value Area Settings : Customize POC and Value Area visualization
Secondary Line Settings : Configure the BK Daily Range appearance
Cloud Visualization : Add colored overlays for enhanced visibility
How to Use
Apply the indicator to your chart
Configure the expiration date to match your trading timeframe
Adjust strike selection and spacing to match your instrument
Use the volume profile and summary table to identify key levels
Trade with confidence knowing where the real money is positioned
Perfect for options traders, futures traders, and anyone who wants to incorporate institutional-level options analysis into their trading strategy.
Take your trading to the next level with Options Volume Profile - where price meets institutional positioning.
Semaphore📌 Indicator Description: Semaphore
The Semaphore indicator plots three key moving averages on the current asset's price, allowing users to select between SMA (Simple Moving Average) or EMA (Exponential Moving Average), and to choose whether the calculation should be based on the daily timeframe or the current chart timeframe.
🔧 Customizable Parameters:
Moving average type: SMA or EMA.
Data source: Daily timeframe or current chart timeframe.
Fixed lengths: 10 (short-term), 21 (medium-term), and 50 (long-term).
🎯 What does it do?
Calculates and plots the three selected moving averages.
Automatically adapts to the chosen timeframe (e.g., display daily averages on a 1h chart).
Color-coded lines for easy visual distinction:
🔵 Blue for the 10-period MA
🟡 Yellow for the 21-period MA
🔴 Red for the 50-period MA
🌟 Benefits and Advantages:
Timeframe flexibility: Follow higher timeframe trends (daily) while trading on lower timeframes.
Clean and quick visual reference: With just three colored lines, you get a clear view of short, medium, and long-term trends.
Perfect for “traffic light” strategies: For example, all MAs aligned in one direction can indicate strong trend confirmation.
Universal use: Works seamlessly with any asset — stocks, crypto, forex, indices, and more.
