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Daytrade Forex Scalper TwinPulse Auction Timer IndicatorWhat this indicator is TwinPulse Auction Timer is a multi component execution aid designed for liquid markets. It looks for two families of opportunities Breakouts that leave a compression area after a fresh sweep Reversals that trigger after a sweep with strong wick polarity It does not try to predict future prices. It measures present auction conditions with transparent rules and shows you when those conditions align. You get a simple table that says LONG SHORT or WAIT, optional session shading, clean entry and exit level visuals, and alerts you can wire to your workflow. Why it is different Most tools show a single signal. TwinPulse combines several independent signals into an Edge Score that you can tune. The components are • Pulse. A signed measure of wick asymmetry with candle body direction • Compression. Current true range compared with an average range • Sweep timer. Bars elapsed since the most recent sweep of a prior high or low • Bias. Direction of a higher timeframe candle • Regime. Efficiency ratio and the relation of micro to macro volatility • Location. Distance from the daily anchored VWAP • Session. London and New York filter by time windows Each component is visible in the inputs and in the table so you can understand why a suggestion appears. The script uses request.security() with lookahead off in all calls so it does not peek into the future. Shapes may move while a bar is open since price is still forming. They stop moving when the bar closes. What you will see on the chart • L and S shapes on entry bars • An Exit shape at the price where a stop or the runner target would have been hit • Four horizontal lines while a trade is active Entry Stop TP1 at one R TP2 at the runner target expressed in R • Labels anchored to each line so you can instantly read Entry SL TP1 and TP2 with current values • Optional shading during your session windows • Optional daily VWAP line The table in the top right shows Action LONG SHORT IN LONG IN SHORT or WAIT Session ON or OFF Bias UP DOWN or FLAT Pulse value Compression value Edge L percent and Edge S percent How it works in detail Pulse For each bar the script measures up wick minus down wick divided by range and multiplies that by the sign of the candle body. The result is averaged with pulse_len. Positive numbers indicate aggressive buying. Negative numbers indicate aggressive selling. You control the minimum absolute value with pulse_thr. Compression Compression is the ratio of current range to an average range. You can choose the range basis. HL SMA uses simple high minus low smoothed by range_len. ATR uses classic True Range smoothed by atr_len. Values below comp_thr indicate a coil. Sweeps and the timer A sweep occurs when price trades beyond the highest high or lowest low seen in the previous sweep_len bars. A strict sweep requires a close back inside that prior range. The timer measures how many bars have elapsed since the last sweep. Breakout setups require the timer to exceed timer_thr. Bias on a confirmation timeframe A higher timeframe candle is read with confirm_tf. If close is above open bias is UP. If close is below open bias is DOWN. This keeps breakouts aligned with the prevailing drift. Regime filters Efficiency ratio measures the straight line change over the sum of absolute bar to bar changes over er_len. It rises in trendy conditions and falls in noise. Minimum efficiency is controlled by er_min. Micro to macro volatility ratio compares a short lookback average range with a longer lookback average range using your chosen basis. For breakouts you usually want micro volatility to be near or above macro hence mvr_min. For reversals you often want micro volatility that is not overheated relative to macro hence mvr_max_rev. VWAP distance gate Daily anchored VWAP is rebuilt from the open of each session. The script computes the absolute distance from VWAP in units of your average range and requires that distance to exceed vwap_dist_thr when use_vwap_gate is true. This keeps entries away from the mean. Edge Score Each gate contributes a weight that you control. The script sums weights of the satisfied gates and divides by the sum of all weights to produce an Edge percent for long and an Edge percent for short. You can then require a minimum Edge percent using edge_min_pct. This turns the indicator into a step by step checklist that you can tune to your taste. Using the indicator step by step Choose markets and timeframes The logic is designed for liquid instruments. Major currency pairs, index futures and cash index CFDs, and the most liquid crypto pairs work well. On intraday use one to fifteen minutes for signals and fifteen to sixty minutes for confirmation. On swing use one hour to one day for signals and one day for confirmation. Decide on entry mode Breakouts require a compression area and a sweep timer. Reversals require a strict sweep and a strong pulse. If you are unsure leave the default which allows both. Pick a range basis For FX and crypto HL SMA is often stable. For indices and single name equities with gaps ATR can adapt better. If results look too reactive increase the window. If results are too slow reduce it. Tune regime filters If you trade trend continuation raise er_min and mvr_min. If you trade counter rotation lower them and rely on the reversal path with the strict sweep condition. Set the VWAP gate Enabling it helps you avoid entries at the mean. Push the threshold higher on range bound days. Reduce it in strong trend days. Table driven decision Watch Action and the Edge percents. If the script says WAIT you can read Pulse and Compression to see what is missing. Often the best trades appear when both Edge percents are well separated and your session switch is ON. Use the visuals When a suggestion triggers you will see entry stop and targets. You can mirror the levels in your own workflow or use alerts. Consider bar close Signals are computed in real time. For a strict process you can wait until the bar closes to reduce noise. Inputs explained with quick guidance Setup Signal TF chooses where the logic is computed. Leave blank to use the chart. Confirm TF sets the higher timeframe for bias. Session filter restricts signals to the London and New York windows you specify. Invert flips long and short. It is useful on inverse instruments. Logic options Entry mode allows Breakouts Reversals or Both. Average range basis selects HL SMA or ATR. ATR length is used when ATR is selected. Pulse source can be Regular OHLC or Heikin Ashi. Heikin Ashi smooths noisy series, but the script still runs on regular bars and you should publish and use it on standard candles to respect the platform guidance. Core numeric settings Sweep lookback controls the size of the liquidity pool targeted by the sweep condition. Pulse window smooths the wick polarity measure. Average range window controls your base range when you use HL SMA. Pulse threshold sets the minimum polarity required. Compression threshold sets the maximum current range relative to average to consider the market coiled. Expansion timer bars sets how much time has passed since the last sweep before you allow a breakout. Regime filters Efficiency ratio length and minimum value keep you out of aimless drift. Micro and Macro range lengths feed the micro to macro ratio. Minimum micro to macro for breakouts and maximum micro to macro for reversals steer the two entry families. VWAP gate and distance threshold keep you away from the mean. Levels and trade management visuals Runner target in R sets TP2 as a multiple of initial risk. Stop distance as average range multiple sets initial risk size for the visuals. Move stop to entry after one R touch turns on break even logic once price has traveled one risk unit. Trail buffer as R fraction uses the last sweep as an anchor and keeps a dynamic stop at a chosen fraction of R beyond it. Cooldown after exit prevents immediate re entries. Edge Score Weights for pulse compression timer bias efficiency ratio micro to macro VWAP gate and session let you align the checklist with your style. Minimum Edge percent to suggest applies a final filter to LONG or SHORT suggestions. UI Table and markers switch the compact dashboard and the shapes. TP and SL lines and labels draw and name each level. TP1 partial label percent is printed in the TP1 label for clarity. Session shading helps with focus. Daily VWAP line is optional. Alerts The script provides alerts for Long Short Exit and for Edge percent crossing the threshold on either side. Use them to drive notifications or to sync with webhooks and your broker integration. Alerts trigger in real time and will repaint during a bar. For conservative use trigger on bar close. Recommended presets Intraday trend continuation Confirm TF fifteen minutes Entry mode Breakouts Range basis HL SMA Pulse threshold near 0.10 Compression threshold near 0.60 Timer around 18 Minimum efficiency ratio near 0.20 Minimum micro to macro near 1.00 VWAP gate enabled with distance near 0.35 Edge minimum 50 or higher Intraday mean reversion at sweeps Entry mode Reversals Pulse source Regular OHLC Compression threshold can be a little higher Maximum micro to macro near 1.60 Efficiency ratio minimum lower near 0.12 VWAP gate enabled Edge minimum 40 to 60 Swing trend continuation Signal TF one hour Confirm TF one day Range basis ATR ATR length around 14 Average range window 20 to 30 Efficiency ratio minimum near 0.18 Micro to macro windows 12 and 60 Edge minimum 50 to 70 These are starting points only. Your instrument and timeframe will require small adjustments. Limitations and honest warnings No indicator is perfect. TwinPulse will mark attractive conditions that do not always lead to profitable trades. During economic releases or very thin liquidity the assumptions behind compression and sweeps may fail. In strong gap environments the HL SMA basis may lag while ATR may overreact. Heikin Ashi pulse can help in choppy markets but it will lag during sharp reversals. Session times use the exchange time of your chart. If you switch symbol or exchange verify the windows. Edge percent is not a probability of profit. It is the fraction of satisfied gates with your chosen weights. Two traders can set different weights and see different Edge readings on the same bar. That is the design. The score is a guide that helps you act with discipline. This indicator does not place orders or manage real risk. The lines and labels show a model entry a model stop and two model targets built from the average range at entry and from recent swing points. Use them as references and not as hard rules. Always test on historical data and demo first. Past results do not guarantee anything in the future. Credits and originality All code in this publication is original and written for this indicator. The concept of the efficiency ratio originates from Perry Kaufman. The use of a daily anchored volume weighted average price is a standard industry tool. The specific combination of pulse from wick polarity strict sweep timing compression and the tunable Edge Score is unique to this script at the time of publication. If you reuse parts of the open source code in your own work remember to credit the author and contribute meaningful improvements. How to read the table at a glance Action reflects your current state. IN LONG or IN SHORT appears while a trade is active. LONG or SHORT appears when conditions for entry are met and the Edge threshold is satisfied. WAIT appears when at least one gate is missing. Session shows ON during your chosen windows. Bias shows the color of the confirmation candle. Pulse is the smoothed polarity number. Comp shows current range divided by the average range. Values below one mean compression. Edge L percent and Edge S percent show the long and short checklists as percents. Final thoughts Markets move because orders accumulate at certain prices and at certain times. The indicator tries to measure two things that often matter at those turning points. One is the existence of a hidden imbalance revealed by wick polarity and by sweeps of prior extremes. The other is the presence of energy stored in a coil that can release in the direction of a drift. Neither force guarantees profit. Together they can improve your selection and your timing. Use the defaults for a few days so you learn the personality of the signals. After that adjust one group at a time. Start with the session filter and the Edge threshold. Then tune compression and the timer. Finally adjust the regime filters. Keep notes. You will learn which weights matter for your market and timeframe. The result is a process you can apply with consistency. Disclaimer This script and description are for education and analysis. They are not investment advice and they do not promise future results. Use at your own risk. Test thoroughly on historical data and in simulation before considering any live use.
مؤشر Pine Script®
من ‎exlux‎
ATR Regime Filter (median & P70)ATR Regime Filter (Median & P70) Purpose Filter your signals by the volatility regime. The indicator compares the current ATR to two rolling statistical thresholds—the median (P50) and the 70th percentile (P70)—to avoid trading during quiet phases and prioritize setups when the market “breathes.” How it works Computes ATR(14) on a user-defined source timeframe (srcTF) via request.security. Converts a target window in days (days) into bars of the source TF. Due to Pine limits, the effective window is capped at 5000 bars (shown in an optional label). Calculates Median (P50) and P70 of ATR over the effective window. Exposes two booleans: ATR > Median (normal-to-elevated volatility) ATR > P70 (elevated volatility) Display Plots: ATR, Median, P70. Panel background (bgcolor): light green when ATR > P70 teal when ATR > Median neutral otherwise Optional label: shows source TF, effective window size (bars & days), and the boolean states. Inputs ATR length (default 14) TF source ATR (srcTF, e.g., “1”, “5”, “15”) Target window (days) (days, default 20) Show label (bool) Suggested use Breakout/Momentum: require ATR > P70 in addition to your breakout conditions (close beyond level, volume, retest). Range/Mean reversion: at minimum require ATR > Median. In strategies, use ATR > Median/P70 as a filter alongside price structure, volume, and EMAs. Limitations On very short source TFs (e.g., 1-min), the window may be clipped to 5000 bars (~3.5 days). Increase srcTF (5m/15m) if you want a true 15–30 day history. ATR measures magnitude, not direction—combine with trend/structure signals.
مؤشر Pine Script®
من ‎sperrenotcantin‎
Timeframe LiquidityTimeframe Liquidity – Multi-Timeframe Highs & Lows by @archie_trades Timeframe Liquidity automatically plots previous day, week, month, and year highs and lows — key liquidity zones used by smart money and price-action traders. These levels extend into the future and can automatically stop once price wicks through, showing clear liquidity sweeps and tested zones. Perfect for traders using ICT concepts, liquidity theory, or market structure analysis. Instantly see where liquidity rests, where it’s been taken, and how price reacts at major support and resistance. Features: Auto-plots PDH/PDL, PWH/PWL, PMH/PML, PYH/PYL Custom line styles, colors, and label sizes Option to stop line on wick (liquidity sweep) Smart timeframe visibility (hides same-TF levels) Accurate UTC offset handling Identify liquidity pools fast, trade cleaner charts, and track where smart money hunts liquidity. Built for precision, clarity, and confluence.
مؤشر Pine Script®
من ‎archiedurrant‎
High Volume Candle Detector by Ravi Shinde📊 High Volume Candle Detector 🎯 Overview Identify exceptional volume spikes that signal institutional activity, breakouts, and reversals. Detects candles with volume exceeding a customizable threshold (default: 3x average volume over 20 periods). ✨ Key Features 🔧 Customizable Settings Volume Multiplier (default: 3.0x) - Define your threshold Average Period (default: 20) - Adapt to any timeframe Bullish/Bearish Detection - Automatic color coding (green/red) 🎨 Visual Styles Background - Subtle colored highlighting Border - Yellow box outline Shape - Triangle markers with "HV" text All - Combined display 🔔 Smart Alerts Bullish High Volume 🟢 Bearish High Volume 🔴 Any High Volume ⚠️ 📈 Derivatives Trading Method High-volume candle highs and lows mark key breakout levels. Break above = Go Long. Break below = Go Short. Trail your stop-loss with a moving average of your choice for optimal risk management. Optimal performance on 15-minute or higher timeframes. Lower timeframes may generate excessive noise.
مؤشر Pine Script®
من ‎sincereZebra4732‎
Dynamic 21 SMA Zone S/R (Weekly and 2-Day)This custom indicator creates a dynamic support and resistance zone based on the 21-period Simple Moving Average (SMA) from the weekly timeframe and the 21-period SMA from the 2-day timeframe. The zone is visible and functional across all chart timeframes, adapting seamlessly to provide multi-timeframe insights. Color Logic: Green: When the current price is fully above the upper boundary of the zone, indicating potential bullish strength or a support level. Gray: When the price is fully below the lower boundary, signaling potential bearish pressure or a resistance level. Light Blue: When the price is within the zone (between the two SMAs), representing a neutral "no man's land" where the market is indecisive. As the two SMAs converge or diverge, the zone naturally thins or widens, visually reflecting changes in market momentum—such as a thinning green zone during a potential reversal. Ideal for higher-timeframe swing trading to identify key levels, this indicator is also useful on lower timeframes for gauging the relative position of these SMAs, helping traders align short-term moves with broader trends.
مؤشر Pine Script®
من ‎ThomasPg‎
Dual EMA Trend Ribbon (Multi-Timeframe Trend Confirmation) Dual EMA Trend Ribbon (Multi-Timeframe Trend Confirmation) This Pine Script indicator creates a visually clear representation of trend direction using two overlaid Exponential Moving Average (EMA) Ribbons, which allows traders to assess both short-term and medium-term momentum at a glance. How It Works: The indicator plots two separate EMA ribbons, each calculated using a distinct set of periods, simulating a multi-timeframe approach on a single chart: Inner (Fast) Ribbon (Defaults 10/30): Represents the fast-moving, short-term trend. Green: Fast EMA 1 > Slow EMA 1 (Short-term Bullish) Red: Fast EMA 1 < Slow EMA 1 (Short-term Bearish) Outer (Slow) Ribbon (Defaults 40/50): Represents the slower, medium-term trend. Darker Green/Red: Indicates the overall, underlying market bias. How to Use: Strong Trend Confirmation: A strong signal occurs when both ribbons are aligned (e.g., both are Green). This suggests that short-term momentum aligns with the medium-term bias. Trend Weakness/Reversal: Pay attention when the two ribbons cross or when the fast ribbon changes color against the slow ribbon's color (e.g., fast ribbon turns Red while the slow ribbon remains Green). This often signals a temporary pullback or potential reversal of the underlying trend. Settings: Users can easily adjust the four input periods (Fast EMA 1, Slow EMA 1, Fast EMA 2, Slow EMA 2) to customize the sensitivity to any trading style or asset.
مؤشر Pine Script®
من ‎Aleksin_Aleksandar‎
4
RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
مؤشر Pine Script®
من ‎DCAUT‎
Arisa RSI Rebound Alert (v6.2)Short description: Simple RSI-based rebound detection with ATR confirmation — designed for traders who prefer a clean and intuitive signal. Full description: This indicator detects oversold and rebound phases using RSI and confirms the strength of each rebound with ATR slope analysis. It is optimized for deep correction phases (e.g. RSI 25→35 cross), helping traders catch early reversal signals while avoiding unnecessary noise. 💡 Recommended use: • Timeframes: 30min–4h • Ideal for short- to mid-term rebound trades • Combine with Heikin-Ashi or volume expansion for higher accuracy ✨ Key Features: • Clear oversold/rebound thresholds (default RSI <25 / cross-up >35) • Background highlight for deep oversold conditions • Visual markers for strong vs. weak rebounds (ATR slope filter) • Alert-ready (three conditions included) 🪶 Concept: This script is designed for traders who value simplicity and intuition — focusing on meaningful signals rather than automation overload. It’s for those who still want to see and feel the market before taking action. ⸻ Author: Arisa Sanjo (Japan) Created with the support of GPT-5, based on live trading insights from October 2025. License: Free to use and modify with proper attribution. If you redistribute or enhance this script, please mention “Based on Arisa RSI Rebound Alert (v6.2)” in your description.
مؤشر Pine Script®
من ‎Lebia_Maverick‎
Inverse VIX / Custom Inverse Line🎯 Main Idea This indicator creates a line that moves opposite to the VIX (Volatility Index) — or any symbol you choose. When VIX rises (fear increases), → this line goes down. When VIX falls (market calm), → this line goes up. It helps you visually understand market sentiment — calm periods (bullish) vs fear periods (bearish). ⚙️ Input Settings Setting Description Symbol to invert The symbol to invert. Default is CBOE:VIX. Inverse mode The method used to invert the values. There are 3 options: ① Negate Simply flips the sign (multiplies by -1). Very straightforward. ② Reciprocal Uses the mathematical inverse (1 ÷ value). High values become smaller, and vice versa. ③ Inverse Normalized The most useful mode 🔥 — normalizes values between 0–100 and flips them, similar to an RSI. Normalization lookback How many bars to use for normalization (default 252 = roughly one trading year). Smoothing (SMA) Number of bars for smoothing (makes the line smoother). Use log for reciprocal Uses logarithmic scaling to stabilize big swings. Plot color / width Customize the line’s color and thickness. Show original source If enabled, shows the original VIX line for comparison. 📈 How It Works The script fetches the close price of the VIX (or your chosen symbol). It applies the selected inversion method. The inverted line is plotted on the chart. In “Inverse Normalized” mode: The range is 0–100. Values above 75 = high optimism (market often overheated). Values below 25 = high fear (potential buying opportunity). A middle line at 50 marks neutral sentiment. ⚠️ Alerts The indicator includes two default alerts when using “Inverse Normalized” mode: 🔔 Above 75: Market showing strong optimism (potential top or correction zone). 🔔 Below 25: Market showing fear (potential bottom or buy signal). 🧠 How to Use It Use it on daily or weekly charts for clearer signals. Compare it with SPX or NASDAQ: When the Inverse VIX line rises, markets often go up. When it falls, markets usually drop or consolidate. Combine it with other indicators (e.g., RSI, MACD) for confirmation.
مؤشر Pine Script®
من ‎adnan997it‎
Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced 📊 ORIGINALITY & INNOVATION The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches. Key Advancements: Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA) Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases. 📐 MATHEMATICAL FOUNDATION Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands. Core Calculation Process: 1. Middle Band (Basis) Calculation: The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period: basis = ma(source, length, maType) Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others. 2. Average True Range (ATR) Calculation: ATR measures market volatility by calculating the average of true ranges over the specified period: trueRange = max(high - low, abs(high - close ), abs(low - close )) atrValue = ma(trueRange, atrLength, atrMaType) ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others. 3. Channel Calculation: Upper and lower channels are positioned at specified multiples of ATR from the basis: upperChannel = basis + (multiplier × atrValue) lowerChannel = basis - (multiplier × atrValue) Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility. Keltner Channel vs. Bollinger Bands - Key Differences: While both indicators create volatility-based channels, they use fundamentally different volatility measures: Keltner Channel (ATR-based): Uses Average True Range to measure actual price movement volatility Incorporates gaps and limit moves through true range calculation More stable in trending markets, less prone to extreme compression Better reflects intraday volatility and trading range Typically fewer band touches, making touches more significant More suitable for trend-following strategies Bollinger Bands (Standard Deviation-based): Uses statistical standard deviation to measure price dispersion Based on closing prices only, doesn't account for intraday range Can compress significantly during consolidation (squeeze patterns) More touches in ranging markets Better suited for mean-reversion strategies Provides statistical probability framework (95% within 2 standard deviations) Algorithm Combination Effects: The interaction between middle band MA type and ATR MA type creates different indicator characteristics: Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes 📊 COMPREHENSIVE SIGNAL ANALYSIS Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies. Channel Position Signals: Upper Channel Interaction: Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry Lower Channel Interaction: Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry Middle Band (Basis) Signals: Trend Direction Confirmation: Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs Pullback Trading Strategy: Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks Failed Test: Price breaking through middle band against trend direction signals potential reversal Volatility-Based Signals: Narrow Channels (Low Volatility): Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width Wide Channels (High Volatility): Trending Phase: Channels expand during strong directional moves and increased volatility Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal Advanced Pattern Recognition: Channel Walking Pattern: Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion Squeeze and Release Pattern: Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias) Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout Follow-Through: Measure squeeze height and project from breakout point for initial profit targets Channel Expansion Pattern: Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment Entry Timing: Enter positions early in expansion phase before trend becomes overextended Risk Management: Use channel width to size stops appropriately, wider channels require wider stops Basis Bounce Pattern: Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend Bounce Failure: Price penetrating basis signals weakening trend and potential reversal Divergence Analysis: Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction Reversal Signal: Divergences often precede trend reversals or significant consolidation periods Multi-Timeframe Analysis: Keltner Channels work particularly well in multi-timeframe trend-following approaches: Three-Timeframe Alignment: Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection Optimal Entry Conditions: Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels 🎯 STRATEGIC APPLICATIONS Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions. Trend Following Strategy: Setup Requirements: Identify established trend with price consistently on one side of basis line Wait for pullback to middle band (basis) or brief penetration through it Confirm trend resumption with price rejection at basis and move back toward outer channel Enter in trend direction with stop beyond basis line Entry Rules: Uptrend Entry: Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence) Enter long on rejection/bounce from basis with stop 1-2 ATR below basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Downtrend Entry: Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence) Enter short on rejection/reversal from basis with stop 1-2 ATR above basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Trend Management: Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position Profit Taking: Take partial profits at opposite channel, move stops to basis Position Additions: Add to winners on subsequent basis bounces if trend intact Breakout Strategy: Setup Requirements: Identify consolidation period with contracting channel width Monitor price action near middle band with reduced volatility Wait for decisive breakout beyond channel range with expanding width Enter in breakout direction after confirmation Breakout Confirmation: Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state Volume increases significantly on breakout (if using volume analysis) Price sustains outside channel for multiple bars without immediate reversal Entry Approaches: Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop Volatility-Based Position Sizing: Adjust position sizing based on channel width (ATR-based volatility): Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value) Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops Algorithm Selection Guidelines: Different market conditions benefit from different algorithm combinations: Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following 📋 DETAILED PARAMETER CONFIGURATION Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches. Source Parameter: Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2 OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments Length Parameter: Controls the lookback period for middle band (basis) calculation: Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks. ATR Length Parameter: Controls the lookback period for Average True Range calculation, affecting channel width: Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels. Multiplier Parameter: Controls channel width by setting ATR multiples: Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier. MA Type Parameter (Middle Band): Critical selection that determines trend identification characteristics: EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions ATR MA Type Parameter: Determines how Average True Range is smoothed, affecting channel width stability: RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles Parameter Combination Strategies: Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions Offset Parameter: Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations. 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness. Response Characteristics: Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention Comparison with Traditional Keltner Channels: Enhanced Version Advantages: Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences Comprehensive Alerts: Enhanced alert system including channel expansion detection Traditional Version Advantages: Simplicity: Fewer parameters, easier to understand and implement Standardization: Fixed EMA/RMA combination ensures consistency across users Research Base: Decades of backtesting and research on standard configuration When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe. When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks. Performance Across Market Conditions: Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation Keltner Channel vs. Bollinger Bands - Usage Comparison: Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends. Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities. Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation. Limitations and Considerations: General Limitations: Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms Trend-Dependent: Works best in trending markets, less effective in choppy conditions No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation Enhanced Version Specific Considerations: Optimization Risk: More parameters increase risk of curve-fitting historical data Complexity: Additional choices may overwhelm beginning traders Backtesting Challenges: Different algorithms produce different historical results Mitigation Strategies: Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones Multi-Timeframe Analysis: Confirm signals across different timeframes Proper Risk Management: Use appropriate position sizing and stops Start Simple: Begin with standard EMA/RMA before exploring alternatives Optimal Usage Recommendations: For Maximum Effectiveness: Start with standard EMA/RMA configuration to understand classic behavior Experiment with alternatives on demo account or paper trading Match algorithm combination to market condition and trading style Use channel width analysis to identify market phases Combine with complementary indicators for confirmation Implement strict risk management using ATR-based position sizing Focus on high-quality setups rather than trading every signal Respect the trend: trade with basis direction for higher probability Complementary Indicators: RSI or Stochastic: Confirm momentum at channel extremes MACD: Confirm trend direction and momentum shifts Volume: Validate breakouts and trend strength ADX: Measure trend strength, avoid Keltner signals in weak trends Support/Resistance: Combine with traditional levels for high-probability setups Bollinger Bands: Use together for enhanced breakout and volatility analysis USAGE NOTES This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Key considerations: Always use multiple forms of analysis and confirmation before entering trades Backtest any parameter combination thoroughly before live trading Be aware that optimization can lead to curve-fitting if not done carefully Start with standard EMA/RMA settings and adjust only when specific conditions warrant Understand that no moving average algorithm can eliminate lag entirely Consider market regime (trending, ranging, volatile) when selecting parameters Use ATR-based position sizing and risk management on every trade Keltner Channels work best in trending markets, less effective in choppy conditions Respect the trend direction indicated by price position relative to basis line The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
مؤشر Pine Script®
من ‎DCAUT‎
Digital RPM HUD — 4 Feeds + Confidence + Timeline (v3)🏎️ Digital RPM HUD — 4 Feeds + Confidence + Timeline (v3) A performance-style trading dashboard for momentum-driven traders. The Digital RPM HUD gives you an instant visual readout of market “engine speed” — combining four customizable data feeds (Trend, Momentum, Volume, Volatility) into a single confidence score (0–100) and a color-coded timeline of regime changes. Think of it as a racing-inspired control panel: you only “hit the throttle” when confidence is high and all systems agree. 🔧 Key Features 4 Data Feeds – assign your own logic (EMA, RSI, RVOL, ATR, etc.). Confidence Meter – blends the four feeds into one smooth 0–100 reading. Timeline Strip – shows recent bullish / bearish / neutral states at a glance. Visual Trade Cues – optional on-chart LONG / SHORT / EXIT markers. Fully Customizable – thresholds, weights, smoothing, colors, layout. HUD Overlay – clean, minimal, and adjustable to any corner of your chart. 💡 How to Use Configure each feed to reflect your preferred signals (e.g., trend EMA 200, momentum RSI 14, volume RVOL 20, volatility ATR 14). Watch the Confidence gauge: ✅ Above Bull Threshold → Market acceleration / long bias. ❌ Below Bear Threshold → Momentum loss / short bias. ⚪ Between thresholds → Neutral zone; stay patient. Use the Timeline to confirm trend consistency — more green = bullish regime, more red = bearish. ⚙️ Recommended Setups Scalping: Trend EMA 50 + RSI 7 + RVOL 10 + ATR 7 → Fast response. Intraday: EMA 200 + RSI 14 + RVOL 20 + ATR 14 → Balanced signal. Swing: Multi-TF Trend + MACD + RVOL + ATR → Smooth and steady. ⚠️ Disclaimer This script is not a trading strategy and does not execute trades. All signals are visual aids — always confirm with your own analysis and risk management.
مؤشر Pine Script®
من ‎pickledness‎
Institutional RSI Trendline Breakout StrategyKey Features: 1. RSI Trendline Detection Automatically identifies RSI resistance (bearish) and support (bullish) trendlines Requires minimum touch points for validation Dynamic trendline calculation with configurable pivot lookback 2. Market Structure Analysis Detects swing highs/lows to identify uptrends and downtrends Combines multiple trend confirmation methods (swing structure + moving averages) Visual background highlighting for trend confirmation 3. Breakout Signals Buy Signal: RSI breaks above resistance trendline + bullish market structure Sell Signal: RSI breaks below support trendline + bearish market structure Configurable breakout threshold to avoid false signals 4. ATR-Based Stop Loss Dynamic stop loss placement based on market volatility Multiplier-adjustable for different risk profiles Visual plotting of stop loss levels 5. Signal Filters Volume filter to confirm breakout validity RSI level filters to avoid extreme conditions Multiple validation layers for institutional-grade accuracy 6. Professional Visualization Clear buy/sell signal markers on chart Information dashboard with real-time metrics Trend background highlighting Stop loss level indicators 7. Alert System Ready-to-use alerts for both buy and sell signals Includes entry price and stop loss in alert messages This script provides institutional-grade signal quality with multiple confirmation layers, optimal risk management, and comprehensive market analysis.
مؤشر Pine Script®
من ‎lohanineeraj‎
Total Info Indicator by MikePenzin Install & Add to Chart  • Copy the script into Pine Editor → click Add to Chart .  • Open the ⚙️ Settings → Inputs to customize. What It Does  • Displays key info in a floating table — trend, volume, ATR, RSI, stop loss, and more.  • Detects breakouts , smart SELL signals , and opening strength .  • Uses emojis and colours to make trends easy to read: 🟢 good, 🟡 neutral, 🔴 risky. For Swing Traders  • Works best on Daily or 4H charts.  • Watch for 🟢 Uptrend + ⚡BUY / 🔥BUY breakout signals.  • Use ATR-based Stop Loss (shown in table).  • Avoid new entries a few days before earnings. Suggested Setup  • 20/50/150 MA Lines: ON  • 200 MA Line: optional  • ATR Multiplier: 1.3  • Breakout Detection: ON (Volume + RSI + Trend filters)  • Smart SELLs: ON (RSI 70, EMA 20)  • Pivots: ON for quick swing levels How to Read  • MA Row: 🟢 = price above MA (bullish).  • ATR/Stop Loss: Suggests where to place protective stop.  • Volume Info: Today’s vs 20-day average, plus pace.  • RSI & CCI: Shows momentum and overbought/oversold levels.  • Breakouts: ⚡BUY (early), 🔥BUY (confirmed).  • Smart SELLs: RSI🔴 / DIV🟣 / EMA🔵 mean potential exit zones. Example Use  1️⃣ Find stocks with Uptrend 🟢 , rising volume, and ⚡BUY signal.  2️⃣ Enter near breakout; set Stop = shown level.  3️⃣ Take profits or trail when Smart SELLs appear or RSI peaks. Tips  • Choose table corner under “Table Visualization.”  • Reduce clutter on small timeframes (turn off Pivots/200 MA).  • Use “Volume speed” to spot surging interest before breakouts.  • Compatible with most equities and ETFs. Disclaimer  This script is for education & analysis only .  Not financial advice — always manage your own risk.
مؤشر Pine Script®
من ‎mike_penzin‎
CandleTrack Pro | Pure Price Action Trend Detection📖 CandleTrack Pro | Pure Price Action Trend Detection CandleTrack Pro is a clean, non-repainting trend detection tool built purely on price action logic. It uses a dynamic ATR-based trailing system to detect trend shifts while keeping the chart visually simple. 🧠 How It Works Tracks volatility using ATR. Identifies trend shifts when price crosses trailing stops. Highlights bullish and bearish bars visually for easy reading. ⚙️ Inputs ATR Sensitivity: Controls how fast the trend adapts. Use High/Low for Stop: Enables candle wick–based structure tracking. 📊 Ideal For Traders who want a minimalist price action view with clear trend direction — no clutter, no lagging oscillators. ⚠️ Disclaimer This script is for educational and technical analysis purposes only. It is not financial advice. Always confirm setups using your own judgment and risk management.
مؤشر Pine Script®
من ‎DinkanWorld‎