Get started

Indicators and strategies

Adaptive ATR LimitsThis script plots adaptive ATR limits for intraday trading. It is intended for equities. It is not tested for other securities like futures, crypto, etc, though it may work for these too. It works for both regular trading hours and extended trading hours. The limit lines (top and bottom) are always exactly 1 ATR/ADR apart. This is a key feature of the indicator. The main mode is ATR, which includes overnight gaps and pre- and post-market movements. This also means the previous day close is considered to part of the current days range (which aligns with the definition of ATR). There is also an ADR mode, which uses the average range the price moves within regular hours only and is not affected by prices outside of these. Other than that, they work the same (including ATR/ADR length option and smoothing). When in ADR mode, it treats premarket as a separate session from the regular/post-market and resets the session range at the regular market open. This is so it can plot the limits in the regular/post-market hours without being affected by the pre-market range. This is necessary since the daily ADR includes only regular market moves and due to the way the limits adapt. It tries to plot the most sensible ATR limits based on the current daily ATR, in order to provide a visual target for how far a price could/should move intraday. In order to do this, it uses two methods to calculate limits, i) based on the mid-point of the current session range, and ii) based on the currently established range and current relative price position within that range. The session starts using the first method. As more of the ATR is covered in the session, it transitions over of the second method. Once (if) the full ATR is covered within the session, it will have completely transitioned to the second method and will only use that for the rest of the session. In between these states, a weighted average of the two methods is used depending on the amount of the ATR the session has covered. To explain the effect, as an example, imagine that the price is approaching the full ATR range on the high side. The indicator will have almost fully transitioned to the second (relative) method. The lower ATR limit will now be anchored to the daily low as the price hits the upper ATR limit. If the price goes beyond the upper ATR, the lower ATR limit will stay anchored to the daily low, and the upper limit will stay anchored to 1 ATR above the lower limit. This allows you to see how far the price is going beyond the upper ATR limit. If the price then returns and backs off the upper ATR limit, the lower ATR limit will un-anchor from the daily low (it will actually rise since the daily ATR range has been exceeded so the lower ATR limit needs to come up since the actual daily range can't fit into the ATR range anymore). The overall effect is to give you the best visual indication where the price is in relation to a possible upper ATR-based target. Reverse this example for when price low approaches the ATR range on the low side. There is also a "basic mode" which simply plots 1 ATR/ADR above/below the session low/high. When using ADR, the session resets at the end of the pre-market. The ATR length (averaging period) can be set (number of days), as well as a visual smoothing of the ATR limits using EMA.
Pine Script® indicator
by Bruzio
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.
Pine Script® strategy
by EdgeTools
Really Key LevelsAn indicator showing (only) the most important trading levels. Works for equities. Probably doesn't work for futures, crypto, etc. Shows RTH H/L (today and yesterday), RTH open, pre-market H/L (today and yesterday), RTH close (yesterday and 2 days ago), with nice labels. By default, only the most important of these are enabled. Special features of this indicator that it works the same for RTH and ETH charts (even showing -pre-market H/L on an RTH chart), and the levels indicate the exact bar that the level relates to. Colours, line styles and widths and the position of the label are configurable. If you would like me to add other levels or features, feel free to ask me and, if I agree, when I do it can be influenced by buying me a coffee, snack or lunch (depending on the difficulty).
Pine Script® indicator
by Bruzio
Profitable Hours EUR/USD Profitable Hours: It identifies the most profitable hours, based on significant price movements and high volatility (higher than the highest price movement and volatility over the last 24 periods). Hour Display in EET: The active hour is displayed in Eastern European Time (EET), which is adjusted based on the GMT offset you provide. This version of the script should help you visualize profitable hours for trading EUR/USD based on price movement and volatility, as well as time zone adjustments.
Pine Script® indicator
by CNC2788
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.
Pine Script® indicator
by SwiftEdge
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.
Pine Script® indicator
by kunalgolani
1
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
Pine Script® indicator
by TechnoBlooms
13
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%).
Pine Script® indicator
by nasu_is_gaji
Darvas Box (Close-based)This indicator builds Darvas Boxes using the closing prices of candles instead of their wicks (highs/lows). It looks back over a set number of candles (default 5) Finds the highest close and lowest close Draws a box between these two levels on the chart Helps identify consolidation zones and potential breakout points based on stable price closes It’s a cleaner and more reliable version of the classic Darvas Box, especially useful in choppy markets where wicks are noisy.
Pine Script® indicator
by UKTradeHouse
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.
Pine Script® indicator
by Serhiy_Chernetskyi
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. _______________________ ▋ OVERVIEW: _______________________ ▋ CREDIT: This indicator utilizes the “ Timezone — Library ”. A huge thanks to @n00btraders for effort and well-organized work. _______________________ ▋ 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. _______________________ ▋ 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. _______________________ ▋ 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
Pine Script® indicator
by MUQWISHI