ابدأ الآن

Norepaint

Institutional Accumulation and Distribution Detector - PhenLabs📊 IADD — Institutional Accumulation & Distribution Detector Version: PineScript™ v6 📌 Description IADD is a professional-grade, no-repaint zone detection engine that identifies where institutional capital is quietly accumulating or distributing before major price moves. By fusing Volume Spread Analysis (VSA) with momentum candle classification, a five-factor quality scoring system, and a built-in micro Volume Profile engine, IADD draws only the highest-conviction institutional footprints — complete with POC, HVN sub-zones, breakout signals, and ATR-projected targets. 🚀 Points of Innovation Dual-Type Candle Classification (VSA + Momentum): Detects both high-volume momentum candles (directional conviction) and high-volume absorption candles (hidden buying/selling via long wicks) — capturing institutional activity that pure momentum filters miss. 5-Factor Zone Quality Score (0–5 ★): Zones are graded across five objective criteria: RVOL intensity, absorption presence, consolidation tightness, candle participation, and directional bias. Only zones clearing your minimum threshold are drawn. Embedded Volume Profile per Zone: On confirmation, IADD calculates a micro volume profile across the cluster window, identifying the POC and HVN — the highest-density levels hidden inside each zone. No-Repaint Architecture: All zones, signals, and targets are anchored to closed-bar data using fixed coordinates and extend.none rendering. Signals lock permanently — nothing shifts or disappears after the bar closes. ATR-Projected 1R/2R/3R Targets: On breakout, three risk-reward levels and a structural stop-loss are automatically projected using ATR at the breakout close — a complete trade plan in a single signal. 🔥 Key Features ✅ Accumulation Zones (Blue) above trend EMA — where institutions absorbed supply ✅ Distribution Zones (Orange) below trend EMA — where institutions offloaded into strength ✅ POC dashed line per zone — the highest-volume price level within each cluster ✅ Star-rated quality labels (★ to ★★★★★) with POC price, bias %, and peak RVOL ✅ ▲ LONG / ▼ SHORT breakout labels on zone boundary breaks with expanded volume ✅ 5 alert conditions: Zone Formed (Bull/Bear), Breakout (Long/Short), Any Breakout 📖 Settings Guide ⚙️ Volume & Candle Filters Avg Volume Length | Default: 20 | Rolling baseline period for RVOL calculation. Min RVOL Multiplier | Default: 1.8 | Volume must exceed this multiple of the average to qualify a candle as institutional. Min Body % (Momentum) | Default: 55% | Minimum body-to-range ratio for momentum candle classification. Min Wick % (Absorption) | Default: 45% | Minimum wick-to-range ratio for VSA absorption candle classification. ⚙️ Cluster & Quality Filters Cluster Lookback | Default: 15 bars | Rolling window scanned for institutional candle clusters. Min Inst. Candles | Default: 3 | Minimum institutional candles required within the window. Min Directional Bias % | Default: 60% | Minimum directional agreement among institutional candles. Min Zone Quality Score | Default: 3/5 | Minimum score gate before a zone is drawn. Raise to 4–5 for maximum selectivity. ATR Squeeze Filter | Default: On | Rejects wide, choppy zones. Keeps tight institutional consolidations only. Max Zone Range (× ATR) | Default: 3.5 | Maximum acceptable zone width as an ATR multiple. ⚙️ Trend Context Filter Enable Trend Filter | Default: On | Accumulation requires price above EMA; distribution requires price below. Trend EMA Length | Default: 200 | Macro trend reference period. ⚙️ Volume Profile Profile Bins | Default: 20 | Price bins for micro volume profile resolution within each zone. HVN Threshold % | Default: 70% | Bins must reach this % of peak bin volume to qualify as part of the HVN. ⚙️ Targets & Risk Show ATR-Based Targets | Default: On | Projects 1R/2R/3R and structural SL on every breakout. ATR Target Multiplier (1R) | Default: 1.5 | ATR distance per risk unit from the breakout close. ⚙️ Display Show Accumulation / Distribution Zones | Default: Both On | Individual visibility toggles per zone type. Show Breakout Signals | Default: On | Enables ▲ LONG / ▼ SHORT breakout labels. Show Quality Score on Label | Default: On | Appends star rating to each zone label. Max Zones (per type) | Default: 8 | Oldest zones auto-purge when cap is reached. ✅ Best Use Cases ● Identifying institutional demand zones before trend continuation entries ● Confirming breakouts with zone quality context — a 5-star zone breakout carries far more weight than an unqualified one ● Using the POC as a magnet or retest entry level after a breakout ● Anchoring structural stop-losses to zone boundaries (below accumulation low, above distribution high) ● Multi-timeframe confluence: identify IADD zones on higher timeframes, enter on HVN touches on lower timeframes ● Filtering setups to macro EMA-aligned trades only for higher win-rate execution ⚠️ Limitations Volume Data: Requires reliable volume. On some forex pairs or synthetic instruments, RVOL accuracy may be reduced. Trend Filter: Counter-trend zones are suppressed when the filter is enabled. Disable for full detection. Not Standalone: IADD identifies where institutions were active — not when price will return. Combine with price action confirmation and proper risk management. 💡 Note: Best performance on equities, crypto, and futures across 1-minute to Daily timeframes. Start with default settings, then tighten Min Quality Score and RVOL Multiplier to match your instrument’s volatility profile.
مؤشر Pine Script®
من ‎PhenLabs‎
Adaptive Quasimodo + Confluence Engine - PhenLabs📊Quasimodo Pattern (QM) Detector - PhenLabs Recognizing reversal patterns like the Quasimodo can be challenging and time-consuming, requiring a keen eye for specific market structures. Missing a key swing point or misinterpreting a retracement can lead to missed opportunities or false signals. This indicator automates the precise identification of Quasimodo patterns, providing clear, actionable signals directly on your chart, so you can focus on execution. 🚨OVERVIEW🚨 The Quasimodo Pattern (QM) Detector is an advanced, non-repainting indicator designed to automatically spot high-probability bullish and bearish Quasimodo reversal patterns. It integrates customizable swing point detection, confluence filters (Higher Timeframe trend and volume confirmation), and precise entry, stop-loss, and take-profit calculations directly from the pattern’s structure. Get automated alerts and a real-time dashboard to enhance your pattern-based trading strategy. 🔷 WHAT IS A QUASIMODO (QM) PATTERN? The Quasimodo pattern is a powerful reversal formation characterized by a specific sequence of price action: Bearish QM: A Higher High (HH) is followed by a Lower Low (LL), then a Higher High (HH), and finally a Lower Low (LL). The pattern suggests a reversal from an uptrend to a downtrend, often at the level of the previous Higher High. Bullish QM: A Lower Low (LL) is followed by a Higher High (HH), then a Lower Low (LL), and finally a Higher High (HH). This suggests a reversal from a downtrend to an uptrend, often at the level of the previous Lower Low. It’s a cousin to the Head & Shoulders pattern but with a distinct structure focused on specific swing points. 🔶 KEY FEATURES Automated QM Detection: Accurately identifies both bullish and bearish Quasimodo patterns as they form on any timeframe. Customizable Swing Points: Define how swing highs and lows are detected, choosing between using wick extremes or candle bodies. Confluence Filters: Incorporates a Higher Timeframe (HTF) Trend filter to confirm pattern alignment using a non-repainting EMA, and a Volume Confirmation filter to validate patterns with significant volume spikes at key structural points. Dynamic Trade Planning: Automatically calculates suggested Entry, Stop Loss, and Take Profit levels based on the detected QM structure and your desired Risk-to-Reward ratio. Non-Repainting Logic: All detected patterns and signals are permanent and do not shift or disappear on subsequent bars. Informative Dashboard: Provides a real-time summary of HTF trend, volume confirmation, and the last detected QM. Visual Clarity: Plots QM lines, potential entry/SL/TP zones, and clear labels for pattern identification. Alerts: Customizable alerts for new QM patterns and when price enters the suggested entry zone. ⚙️ SETTINGS GUIDE Pattern Recognition: Adjust settings like Use Wick As Extremes (for swing points), Swing Lookback (how many bars to scan for swings), Min Head Height/Right Shoulder Depth Factor (magnitude requirements), Strict Higher/Lower High/Low (stricter swing definitions), and Max RSL/RSH Bars (time limit for right shoulder formation). Trade Management: Configure Entry/SL/TP Offset % to fine-tune entry, stop-loss, and take-profit levels as a percentage buffer, and set your Desired Risk:Reward ratio for calculating Take Profit. Confluence Filters: Enable or disable Use HTF Confirmation and Use Volume Confirmation . For HTF, set HTF Timeframe and EMA Length . For Volume, adjust Volume Lookback and Multiplier . Visual Settings: Toggles are available for showing QM lines, entry/SL/TP zones, alerts, and dashboard position. 📈 TRADING WORKFLOW Identify: Wait for a Bullish or Bearish QM pattern to be detected and labeled on your chart. Confirm: Check the dashboard and pattern details. Ensure the HTF trend and Volume confirmation are aligned with the pattern’s direction (e.g., Bullish QM + Bullish HTF). Enter: Wait for price to retest the suggested entry zone. The indicator plots these zones for you. Manage: Use the automatically calculated Stop Loss and Take Profit levels, adjusting them as needed based on market context and your risk management strategy. Alerts: Set up alerts to be notified immediately when a QM pattern is found or when price enters an entry zone. ⚠️ RISK DISCLAIMER Trading involves substantial risk, and past performance is not indicative of future results. The Quasimodo Pattern Detector is a tool to assist in identifying potential trade setups but does not guarantee profitability. Always conduct your own analysis and implement proper risk management. Does it repaint? No. This indicator is coded with non-repainting logic. Once a pattern is confirmed and a signal is generated on a closed bar, it will remain on your chart permanently. The Higher Timeframe trend filter also uses a non-repainting method.
مؤشر Pine Script®
من ‎PhenLabs‎
11
Liquidity Heatmap Matrix [MTF] - PhenLabs📊Liquidity Heatmap Matrix Version: PineScript™v6 📌Description The Liquidity Heatmap Matrix is a multi-timeframe liquidity detection and visualization tool built to identify where equal highs and equal lows are forming across up to five configurable timeframes. It solves a core challenge for smart money and ICT-style traders: knowing exactly where stop-loss clusters and liquidity pools are building — before price sweeps them. Rather than manually scanning multiple timeframes for double tops and bottoms, this indicator automates the entire process and presents confluence-weighted liquidity zones as a heatmap overlay directly on your chart. Levels confirmed by more timeframes glow with greater intensity, giving you an immediate sense of which zones carry the highest probability of a liquidity grab. When price sweeps through a detected level, the indicator confirms it in real time with on-chart labels, color changes, and optional alerts — turning reactive analysis into proactive trade planning. 🚀Points of Innovation ● First-of-its-kind heatmap approach that scores liquidity zones on a 1-to-5 confluence scale across independent timeframes ● Automatic merging of nearby equal levels using a percentage-based tolerance system, eliminating duplicate zone clutter ● Real-time sweep confirmation engine that detects when price pierces a level and closes back inside, validating the liquidity grab ● Dynamic zone coloring that shifts from transparent to fully opaque as more timeframes confirm the same price level ● Built-in dashboard that ranks all active levels by confluence strength and tracks bullish versus bearish sweep counts ● Comprehensive alert suite covering new equal high/low formation and sweep events for both directions 🔧Core Components ● Multi-Timeframe Pivot Engine: Runs pivot high/low detection independently on each of the five timeframes using request.security calls, then feeds results into a unified level registry ● Equal Level Comparator: Compares each new pivot against a rolling window of recent pivots using a configurable percentage tolerance to identify price levels that have been tested more than once ● Confluence Merger: When the same price level appears on multiple timeframes, the system merges them into a single zone and increments the confluence score rather than stacking overlapping boxes ● Sweep Detection Module: Monitors all active levels bar-by-bar, confirming a sweep when price breaches the zone edge and then closes back within it — filtering out false breakouts ● Heatmap Renderer: Translates each level’s confluence score into a color intensity gradient, with separate palettes for equal highs (red spectrum) and equal lows (green spectrum) ● Dashboard Table: Displays every active level in a sortable table with type, price, per-timeframe dot indicators, confluence rating, and sweep status 🔥Key Features ● Supports 5 fully independent timeframes that can be toggled on or off and set to any interval from 1 minute to Monthly ● Heatmap coloring intensity scales automatically with confluence count — single-timeframe levels appear faint while 5-TF levels are fully saturated ● Sweep labels display the direction, confluence count, confirming timeframes, and exact price of each swept level directly on the chart ● Dashboard tracks all active equal high and equal low levels sorted by confluence descending with real-time bull and bear sweep counters ● Four alert conditions cover new equal highs, new equal lows, bearish sweeps (EQH taken), and bullish sweeps (EQL taken) ● Swept zones automatically change to a distinct highlight color and freeze their right edge at the sweep bar for clear historical reference ● Old swept levels are cleaned up after 100 bars and stale unswept levels expire after 500 bars to keep the chart uncluttered ● All zone colors, widths, extension lengths, and dashboard positioning are fully customizable 🎨Visualization ● Liquidity Zone Boxes: Colored rectangles overlaid on the chart representing each equal high or equal low level — red-spectrum for EQH, green-spectrum for EQL, with opacity increasing as confluence rises ● Heatmap Intensity Gradient: Single-TF zones appear nearly transparent while 5-TF zones are fully opaque, creating a visual heat signature of where liquidity is densest ● Sweep Labels: Appear at the sweep bar with directional arrows (🔻 for EQH swept, 🔺 for EQL swept), showing confluence count, confirming timeframe list, and price ● Swept Zone Highlight: Confirmed sweeps turn the zone box to a yellow highlight color, clearly distinguishing consumed liquidity from active levels ● Dashboard Table: A compact on-chart table (repositionable to any corner) showing Type, Price, per-TF active dots (● / ○), and confluence rating for every tracked level ● Summary Footer: Bottom row of the dashboard displays total bullish sweeps, bearish sweeps, and combined sweep count 📖Usage Guidelines ● TF 1 through TF 5 Enabled — Toggle each timeframe on or off (Default: TF1 and TF2 enabled, TF3-TF5 disabled) ● TF 1 through TF 5 Interval — Set each timeframe independently (Defaults: 5m, 15m, 1H, 4H, Daily) ● Pivot Lookback Left — Number of bars to the left for pivot detection (Default: 6, Range: 1–50) ● Pivot Lookback Right — Number of bars to the right for pivot confirmation (Default: 6, Range: 1–50) ● Equal Level Tolerance (%) — Maximum percentage difference for two pivots to be considered equal (Default: 0.1%, Range: 0.01–2.0%) ● Max Pivots to Compare — Rolling window size of recent pivots checked for equal levels (Default: 5, Range: 2–10) ● Max Active Levels — Maximum number of liquidity zones tracked simultaneously (Default: 20, Range: 5–50) ● Sweep Confirm Bars — Bars to wait before confirming a sweep after price pierces a level (Default: 2, Range: 1–10) ● Show Liquidity Zones — Toggle zone box rendering on or off (Default: On) ● Show Sweep Labels — Toggle sweep confirmation labels on or off (Default: On) ● Show Dashboard — Toggle the summary dashboard table on or off (Default: On) ● Zone Width (%) — Percentage-based half-width of each liquidity zone box (Default: 0.05%, Range: 0.01–1.0%) ● Zone Extend (bars) — How far forward active zone boxes extend on the chart (Default: 50, Range: 10–200) ● Dashboard Position — Corner placement of the dashboard table (Options: Top Right, Bottom Right, Top Left, Bottom Left) ● EQH Colors — Customizable color range from 1-TF to 5-TF confluence for equal high zones (Default: Red spectrum with varying transparency) ● EQL Colors — Customizable color range from 1-TF to 5-TF confluence for equal low zones (Default: Green spectrum with varying transparency) ● Swept Zone Color — Highlight color for levels that have been confirmed swept (Default: Yellow at 30% transparency) ✅Best Use Cases ● Identifying high-probability reversal zones where liquidity has clustered across multiple timeframes before entering a mean-reversion trade ● Pre-planning take-profit targets by locating where dense liquidity pools sit above or below current price ● Filtering breakout trades by checking whether price is approaching a high-confluence liquidity zone likely to cause a sweep and reversal ● Confirming ICT and smart money concepts by visualizing where equal highs and equal lows form as institutional liquidity targets ● Setting up sweep-based alerts to get notified the moment a multi-TF liquidity level gets taken, enabling rapid reaction entries ● Using the dashboard as a real-time liquidity scoreboard during active trading sessions to track which levels remain live and which have been consumed ⚠️Limitations ● Pivot detection requires a right-side lookback, so level identification has an inherent delay equal to the Pivot Lookback Right setting ● Very low tolerance values on volatile assets may produce few matches, while very high values may create false confluences — tuning to the asset’s typical spread is recommended ● The indicator tracks up to the Max Active Levels limit, so on extremely active charts some older unswept levels may be pruned before they are reached ● Multi-timeframe security calls can increase chart loading time, especially when all five timeframes are enabled on lower-timeframe charts ● Sweep detection relies on close price returning inside the zone — wicks that pierce and immediately reverse on the same bar without closing inside may not be captured ● This tool identifies liquidity zones and sweeps but does not generate buy or sell signals — it is designed to complement your existing strategy, not replace it 💡What Makes This Unique ● Confluence-weighted heatmap visualization is a fundamentally different approach to liquidity mapping compared to simple equal-high/low markers, providing probabilistic weight to each level ● The automatic cross-timeframe merging system eliminates zone stacking and clutter that plagues most multi-timeframe indicators ● Real-time sweep confirmation with multi-bar validation filters out noise and false breakouts that single-bar detection methods frequently flag ● The integrated dashboard provides a full-spectrum situational awareness panel without needing to switch between timeframes or use multiple indicators 🔬How It Works ● Step 1 — Pivot Detection: On each enabled timeframe, the script independently identifies pivot highs and pivot lows using a configurable left/right lookback window via ta.pivothigh and ta.pivotlow functions ● Step 2 — Equal Level Matching: Each new pivot is compared against a rolling buffer of recent pivots on the same timeframe; if two pivots fall within the percentage tolerance, an equal high or equal low is flagged ● Step 3 — Cross-Timeframe Registration and Merging: Detected equal levels are registered into a central level array; if a level from one timeframe falls near an existing level, it merges by incrementing the confluence score rather than creating a duplicate ● Step 4 — Heatmap Rendering: Each active level is drawn as a zone box with color intensity mapped to its confluence score using a 5-tier gradient — more confirming timeframes produce more visually prominent zones ● Step 5 — Sweep Monitoring: Every bar, the script checks whether price has breached a zone edge and closed back inside, confirming a liquidity sweep; confirmed sweeps update the zone color, freeze the box, and generate labels and alerts ● Step 6 — Lifecycle Management: Swept levels are retained for 100 bars for historical reference then removed; unswept levels older than 500 bars are pruned to maintain chart performance and visual clarity 💡Note: For best results, start with the default settings and adjust tolerance and pivot lookback values to match the volatility profile of your specific asset. Lower timeframe combinations (e.g., 5m + 15m) are ideal for intraday scalping, while higher timeframe setups (e.g., 1H + 4H + Daily) suit swing trading. This indicator is designed as a confluence tool — combine it with your existing strategy, order flow analysis, or market structure methodology for highest-probability trade setups. It does not produce buy or sell signals on its own.
مؤشر Pine Script®
من ‎PhenLabs‎
4
ZLEMA FusionZLEMA Fusion - Advanced Zero-Lag Momentum & Trailing Stop System A sophisticated overlay indicator combining the power of Zero Lag EMA (ZLEMA) with ATR-based Moving Stop (MOST) for precision trend following and dynamic support/resistance tracking. Core Components: 1. ZLEMA (Zero Lag Exponential Moving Average) Eliminates lag inherent in traditional EMAs Provides faster response to price changes Customizable length for different trading styles Smooth, responsive trend line 2. MOST (Moving Stop - ATR Trailing Stop) Dynamic ATR-based trailing stop system Automatically adjusts to market volatility Never moves backward - only trails in favourable direction Green line = Uptrend support | Red line = Downtrend resistance Customizable ATR multiplier and lookback period Signal Generation: BUY (⇑): When ZLEMA crosses above MOST SELL (⇓): When ZLEMA crosses below MOST Clean visual arrows with no label boxes Signals trigger on candle close only (no repainting) Advanced Features: ✅ Signal Cooldown System - Prevents signal spam with configurable minimum bars between signals ✅ ADX Trend Strength Filter - Optional filter to trade only in strong trends ✅ Higher Timeframe ZLEMA Confirmation - Multi-timeframe trend alignment for higher probability setups ✅ Background Color Coding - Quick visual trend identification (Green = Uptrend, Red = Downtrend) ✅ Alert System - Built-in alerts for buy and sell signals Fully Customizable: ZLEMA length ATR period and multiplier MOST lookback period Signal cooldown bars ADX filter threshold Higher timeframe settings Visual display options Best Used For: Index trading Swing trading Trend following strategies Dynamic support/resistance identification Entry/exit timing Optimized for Indian Markets - Calibrated for Nifty, Bank Nifty, and other NSE instruments. ⚠️ Important Notes: This indicator is for educational purposes No repainting - all signals confirmed at candle close Use proper risk management Combine with your trading plan and additional confirmation
مؤشر Pine Script®
من ‎kingshukghosh71‎
Alpha Hunter Integrated MACD & Oscillator [wjdtks255]Indicator Title: Alpha Hunter Integrated MACD & Oscillator Pro Short Description A high-precision hybrid oscillator that integrates MACD dynamics with a secondary-smoothed histogram to eliminate market noise and capture trend reversals with minimal lag. Detailed Description Overview The Alpha Hunter Integrated MACD & Oscillator is designed to overcome the inherent lag of standard MACD indicators. By applying an exponential moving average (EMA) filter to the histogram itself and incorporating a momentum direction check, this tool identifies high-probability entry points while filtering out "whipsaws" commonly found in choppy markets. Key Technical Pillars Dual-Smoothed Histogram: Unlike standard oscillators, this script smooths the raw histogram values using a secondary filtering period. This reveals the true underlying momentum before price action fully shifts. Momentum Directional Filter: Entry signals are only triggered when the MACD line’s slope aligns with the crossover, ensuring you don't enter against a stalling trend. Dynamic Trend Clouds: The visual fill between the MACD and Signal lines acts as a "Trend Cloud," providing immediate visual feedback on the strength and duration of the current trend. The Winning Trading Strategy (How to Use) To maximize win rates, it is highly recommended to use this indicator as a Confirmation Oscillator alongside a Long-term Trend Filter (like a 200 EMA) on your main chart. 1. Long Setup (Buy) Context: Price must be trading above the 200 EMA on the main chart. Signal: A green "BUY" triangle and label appear on the oscillator. Confirmation: The Histogram should be green and rising. Exit: Exit at a pre-defined Take Profit (TP) box or when a bearish MACD crossunder occurs. 2. Short Setup (Sell) Context: Price must be trading below the 200 EMA on the main chart. Signal: A red "SELL" triangle and label appear on the oscillator. Confirmation: The Histogram should be red and falling. Exit: Exit at the designated Stop Loss (SL) or when a bullish MACD crossover occurs. Input Parameters & Optimization Fast/Slow/Signal: Default 12, 26, 9. (Standard for most markets). Signal Smoothing: Set to 5 for a balance of speed and reliability. Increase to 8+ for swing trading on higher timeframes. Recommended Timeframes: 15m, 1h, and 4h for the best signal-to-noise ratio. Author's Note This indicator is a "No-Repaint" script. Signals are confirmed at the close of the candle to ensure reliability during live trading. Always use proper risk management.
مؤشر Pine Script®
من ‎wjdtks255‎
5
Intuitive Predictive MACD TargetsThis indicator uses Reverse Engineering math to calculate the exact price the market needs to reach for specific MACD events to happen on the current bar. Standard MACD is a lagging indicator—you usually wait for the candle to close to confirm a signal. This script changes that by drawing "Finish Lines" on your chart, showing you exactly where price must go right now to trigger a Crossover or a Momentum Hook. The "Reverse Engineering" Concept Instead of calculating MACD from Price, we calculate the Required Price from the Target MACD. Q: "At what price will the MACD line cross the Signal line?" A: The script solves this and draws the Green/Red "Crossover" Line. Key Features 1. Three Distinct Targets Crossover Target (PCO/NCO): The exact price needed to trigger a Buy/Sell signal on the current candle. Dynamic Coloring: Turns Green if price needs to go UP to cross, Red if price needs to go DOWN. Settlement Target (The Hook): The exact price where the MACD momentum flattens out (Angle = 0). If price touches this Orange Dashed Line, the trend is likely pausing or preparing to reverse. Zero Cross Target: The price needed for MACD to reclaim the Zero Line. 2. Smart "Staggered" Labels (No Overlap) Unlike other scripts where text piles up and becomes unreadable, this indicator automatically spreads labels horizontally. Crossover info stays near the price. Settlement info is shifted to the right. Zero info is shifted further right. Result: You can read all three targets clearly, even if the prices are almost identical. 3. Full Customization Line Length: Choose "Infinite" to see targets as Support/Resistance levels across the screen, or "Short" to keep your chart background clean. Text Visibility: Option to force text to White or Black for high contrast on Dark/Light themes. Styles: Fully adjustable colors, line widths, and styles (Solid, Dashed, Dotted) for each target type. How to Use The "Finish Line" Strategy: If you are Long, and the Red NCO Line appears just below the current price, be cautious. It means a very small drop will confirm a Bearish Cross. Momentum Checks: Watch the Orange "Settlement" Line. If price is moving away from the Orange line, the trend is accelerating (Safe to hold). If price touches the Orange line, momentum has died (Consider taking profit). Settings Visual Settings: Change Line Length (Infinite/Short) and Text Color. MACD Settings: Standard inputs (Default 12, 26, 9). Toggles: Option to show/hide the Zero Line target.
مؤشر Pine Script®
من ‎PratikKharat1990‎
Double&Triple Pattern[TS_Indie]📌 Description – Double & Triple Pattern Indicator The Double & Triple Pattern Indicator is developed to help traders systematically and clearly identify Double Top, Double Bottom, Triple Top, and Triple Bottom chart patterns. ⚙️ Core Logic & Working Mechanism The Double & Triple Pattern Indicator is built on the concept of price swing formation, based on the logic of Trend Entry_0 , which focuses on structured market analysis and price action behavior. The indicator detects three main swing points (Swing 1, Swing 2, and Swing 3). A Fibonacci Box is then created using Swing A and Swing B as reference points to define the swing detection zone. When all three swings remain inside the defined Fibonacci Box, the structure is considered a valid Price Action setup. The indicator then plots key lines on the chart: ➩ Break Line – used to confirm the signal (confirmation) ➩ Cancel Line – used to invalidate the price action if price moves against the conditions ➛ When price breaks the Break Line , the structure is confirmed and a Pending Order is placed at Swing B , with the Stop Loss set at Swing 1. ➛ If price breaks the Cancel Line first, the price action structure is immediately invalidated. ⚙️ Fibonacci Entry Zone & Change SL Settings ➩ When Fibo Entry Zone is set to 0, the Pending Order is placed directly at Swing B. ➩ When the value is greater than 0, the Pending Order is calculated using Fibonacci levels drawn from Swing B to the Stop Loss level. ➩ Change SL allows switching the Stop Loss reference between Swing 1 and Swing A. ⚙️ Min & Max Control for Swing Size : xATR When enabling Control Size Swing : xATR , the indicator filters Swing B based on the defined Min and Max range. This allows traders to selectively test larger or smaller swing-based price actions , depending on their trading strategy. ⭐ Pending Order Cancellation Conditions A Pending Order will be canceled under the following conditions: 1.A new Price Action signal appears on either the Buy or Sell side. 2.When Time Session is enabled, the Pending Order is canceled once price exits the selected session. 🕹 Order Management Rule When there is an active open position, the indicator restricts the creation of new Pending Orders to prevent overlapping positions. 💡 Double Pattern Example 💡 Triple Pattern Example ⚠️ Disclaimer This indicator is designed for technical analysis purposes only and does not constitute investment advice. Users should apply proper risk management and make decisions at their own discretion. 🥂 Community Sharing If you find parameter settings that work well or produce strong statistical results, feel free to share them with the community so we can improve and develop this indicator together.
استراتيجية Pine Script®
من ‎Truth_Strategy_Indie‎
2
Moving Average Channel Breakout (No Repaint) This indicator creates a channel using two simple moving averages: SMA of highs (upper line) and SMA of lows (lower line). How it works: - When a candle closes above the upper channel line, the following candles turn green (bullish trend) - When a candle closes below the lower channel line, the following candles turn red (bearish trend) - The trend color remains until a breakout in the opposite direction occurs Anti-repaint: This indicator does NOT repaint. The candle color is determined at the open, based on the previous candle's close. Once a candle opens with a color, that color never changes. Breakout strategy: - Candle opens green → Long entry signal - Candle opens red → Short entry signal The signal and entry moment are perfectly synchronized at the candle open, making it ideal for systematic breakout strategies.
مؤشر Pine Script®
من ‎Pedro_Romao‎
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals. 🛠️ Tools Used 1. EMA Fast – Primary Short-Term Trend 2. EMA Slow – Long-Term Trend Filter 3. Parabolic SAR – Reversal Confirmation 🎯 Entry Rules 📈 Buy Setup 1. Trend Filter: EMA Fast > EMA Slow → Uptrend 2. Pullback: Price pulls back and closes below the EMA Fast line. 3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed. 5. Entry: Enter Buy immediately. 📉 Sell Setup 1. Trend Filter: EMA Fast < EMA Slow → Downtrend 2. Pullback: Price pulls back and closes above the EMA Fast line. 3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed. 5. Entry: Enter Sell immediately. 💰 Exit Management (Entry, Stop Loss, Take Profit) 1. Entry: Enter the order at the closing price of the signal candle. 2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot. 3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio. ⚙️ Optional Parameters ➭ Custom Risk/Reward Ratio for Take Profit. ➭ Option to add an ATR buffer to the Stop Loss. ➭ Adjustable EMA Fast period. ➭ Adjustable EMA Slow period. ➭ Adjustable Parabolic SAR parameters. ➭ Option to enable Long-only / Short-only positions. ➭ Customizable Backtest start and end date. ➭ Customizable trading session time. 🔔 Alert Function Alerts display: ➭ Entry Price ➭ Stop Loss Price ➭ Take Profit Price 💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders! ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
استراتيجية Pine Script®
من ‎Truth_Strategy_Indie‎
Trend Entry_0 [TS_Indie]Trend Entry_0 — Mechanism Overview The core structure of this strategy is based on a price action reversal pattern, as detailed below: In the case of a Bullish Trend Reversal: The price initially moves in a bearish direction. When candle A forms a low lower than the previous low, the high of candle A becomes a key reference point.
If the next candle closes above the high of candle A , it confirms a Bullish Trend Reversal. * Upon a Bullish signal, a Long position is opened at the opening price of the next candle (candle B). * When a subsequent Bearish signal occurs, the Long position is closed at the opening price of the next candle (candle C). In the case of a Bearish Trend Reversal: The price initially moves in a bullish direction. When candle A forms a high higher than the previous high, the low of candle A becomes a key reference point.
If the next candle closes below the low of candle A , it confirms a Bearish Trend Reversal. * Upon a Bearish signal, a Short position is opened at the opening price of the next candle (candle B). * When a subsequent Bullish signal occurs, the Short position is closed at the opening price of the next candle (candle C). Options * The start and end dates of the backtest can be customized. * The swing lines of the trend can be displayed as an optional visual aid. * The user can choose whether to open only Long or Short positions. Backtest Results and Observations Based on the backtesting results of this strategy across various assets and timeframes, it has been observed that this approach works best on trending assets such as Gold, BTC, and stocks.
It also performs well on higher timeframes, starting from the Daily timeframe and above, especially when taking Long positions only. 
 However, when applied to currency pairs such as EUR/USD, the results tend to be less impressive. I encourage everyone to try backtesting and further developing this strategy — adding new conditions or filters may potentially lead to improved performance. Disclaimer This script is intended solely for backtesting purposes, based on a particular price action pattern.
It does not constitute financial or investment advice.
Backtest results do not guarantee future performance.
استراتيجية Pine Script®
من ‎Truth_Strategy_Indie‎
2
Institutional Composite Moving Average (ICMA) [Volume Vigilante]Institutional Composite Moving Average (ICMA) The Next Evolution of Moving Averages — Built for Real Traders. ICMA blends the strength of four powerful averages (SMA, EMA, WMA, HMA) into a single ultra-responsive, ultra-smooth signal. It reacts faster than traditional MAs while filtering out noise, giving you clean trend direction with minimal lag. 🔹 Key Features: • Faster reaction than SMA, EMA, or WMA individually • Smoother and more stable than raw HMA • Naturally adapts across trend, momentum, and consolidation conditions • Zero gimmicks. Zero repainting. Full institutional quality. 🔹 Designed For: • Scalping • Swing trading • Signal engines • Algorithmic systems 📎 How to Use: • Overlay it on any chart • Fine-tune the length per timeframe • Combine with your entries/exits for maximum edge Created by Volume Vigilante 🧬 — Delivering Real-World Trading Tools.
مؤشر Pine Script®
من ‎VolumeVigilante‎
12
SuperTrend MTF Pro [Cometreon]The SuperTrend MTF Pro takes the classic SuperTrend to a whole new level of customization and accuracy. Unlike the standard version, this indicator allows you to select different moving averages, apply it to various chart types, and fine-tune every key parameter. If you're looking for an advanced, non-repainting, and highly configurable SuperTrend, this is the right choice for you. 🔷 New Features and Improvements 🟩 Multi-MA SuperTrend Now you can customize the SuperTrend calculation by choosing from 15 different moving averages: SMA (Simple Moving Average) EMA (Exponential Moving Average) WMA (Weighted Moving Average) RMA (Smoothed Moving Average) HMA (Hull Moving Average) JMA (Jurik Moving Average) DEMA (Double Exponential Moving Average) TEMA (Triple Exponential Moving Average) LSMA (Least Squares Moving Average) VWMA (Volume-Weighted Moving Average) SMMA (Smoothed Moving Average) KAMA (Kaufman’s Adaptive Moving Average) ALMA (Arnaud Legoux Moving Average) FRAMA (Fractal Adaptive Moving Average) VIDYA (Variable Index Dynamic Average) 🟩 Multiple Chart Types You're no longer limited to candlestick charts! Now you can use SuperTrend with different chart formats, including: Heikin Ashi Renko Kagi Line Break Point & Figure 🟩 Customizable Timeframe Now you can adjust the SuperTrend timeframe without repainting issues, avoiding signal distortions. 🔷 Technical Details and Customizable Inputs SuperTrend offers multiple customization options to fit any trading strategy: 1️⃣ ATR Period – Defines the ATR length, affecting the indicator’s sensitivity. 2️⃣ Source – Selects the price value used for calculations (Close, HL2, Open, etc.). 3️⃣ ATR Mult – Multiplies the ATR to determine band distance. Higher values reduce false signals, lower values make it more reactive. 4️⃣ Change ATR Calculation Method – When enabled, uses the default ATR method; when disabled, allows selecting another Moving Average with "Use Different Type". 5️⃣ Source Break – Defines the price source for trend changes (Close for more stability, High/Low for more reactivity). 6️⃣ Use Different Type – Allows selecting an alternative Moving Average for ATR calculation if "Change ATR Calculation Method" is disabled. 7️⃣ SuperTrend Type – Advanced options for specific MAs (JMA, ALMA, FRAMA, VIDYA), with dedicated parameters like Phase, Sigma, and Offset for optimized responsiveness. 8️⃣ Ticker Settings – Customize parameters for special chart types such as Renko, Heikin Ashi, Kagi, Line Break, and Point & Figure, adjusting reversal, number of lines, and ATR length. 9️⃣ Timeframe – Enables using SuperTrend on a higher timeframe. 🔟 Wait for Timeframe Closes - ✅ Enabled – Prevents multiple signals, useful for precise alerts. ❌ Disabled – Displays SuperTrend smoothly without interruptions. 🔷 How to Use SuperTrend MTF Pro 🔍 Identifying Trends SuperTrend follows the ongoing trend and provides clear visual signals: When the price is above the line, the trend is bullish. When the price is below the line, the trend is bearish. 📈 Interpreting Signals Line color and position change → Possible trend reversal Bounce off the line → Potential trend continuation Strong breakout of the line → Possible reversal 🛠 Integration with Other Tools RSI or MACD to filter false signals Moving Averages to confirm trend direction Support and Resistance to improve entry points ☄️ If you find this indicator useful, leave a Boost to support its development! Every feedback helps to continuously improve the tool, offering an even more effective trading experience. Share your thoughts in the comments! 🚀🔥
مؤشر Pine Script®
من ‎Cometreon‎
1
Xmaster Formula Indicator [TradingFinder] No Repaint Strategies🔵 Introduction The Xmaster Formula Indicator is a powerful tool for forex trading, combining multiple technical indicators to provide insights into market trends, support and resistance levels, and price reversals. Developed in the early 2010s, it is widely valued for generating reliable buy and sell signals. Key components include Exponential Moving Averages (EMA) for identifying trends and price momentum, and MACD (Moving Average Convergence Divergence) for analyzing trend strength and direction. The Stochastic Oscillator and RSI (Relative Strength Index) enhance accuracy by signaling potential price reversals. Additionally, the Parabolic SAR assists in identifying trend reversals and managing risk. By integrating these tools, the Xmaster Formula Indicator provides a comprehensive view of market conditions, empowering traders to make informed decisions. 🔵 How to Use The Xmaster Formula Indicator offers two distinct methods for generating signals: Standard Mode and Advance Mode. Each method caters to different trading styles and strategies. Standard Mode : In Standard Mode, the indicator uses normalized moving average data to generate buy and sell signals. The difference between the short-term (10-period) and long-term (38-period) EMAs is calculated and normalized to a 0-100 scale. Buy Signal : When the normalized value crosses above 55, accompanied by the trend line turning green, a buy signal is generated. Sell Signal : When the normalized value crosses below 45, and the trend line turns red, a sell signal is issued. This mode is simple, making it ideal for traders looking for straightforward signals without the need for additional confirmations. Advance Mode : Advance Mode combines multiple technical indicators to provide more detailed and robust signals. This method analyzes trends by incorporating : 🟣 MACD Buy Signal : When the MACD histogram bars are positive. Sell Signal : When the MACD histogram bars are negative. 🟣 RSI Buy Signal : When RSI is below 30, indicating oversold conditions. Sell Signal : When RSI is above 70, suggesting overbought conditions. 🟣 Stochastic Oscillator Buy Signal : When Stochastic is below 20. Sell Signal : When Stochastic is above 80. 🟣 Parabolic SAR Buy Signal : When SAR is below the price. Sell Signal : When SAR is above the price. A signal is generated in Advance Mode only when all these indicators align : Buy Signal : All conditions point to a bullish trend. Sell Signal : All conditions indicate a bearish trend. This mode is more comprehensive and suitable for traders who prefer deeper analysis and stronger confirmations before executing trades. 🔵 Settings Method : Choose between "Standard" and "Advance" modes to determine how signals are generated. In Standard Mode, signals are based on normalized moving average data, while in Advance Mode, signals rely on the combination of MACD, RSI, Stochastic Oscillator, and Parabolic SAR. Moving Average Settings : Short Length : The period for the short-term EMA (default is 10). Mid Length : The period for the medium-term EMA (default is 20). Long Length : The period for the long-term EMA (default is 38). MACD Settings : Fast Length : The period for the fast EMA in the MACD calculation (default is 12). Slow Length : The period for the slow EMA in the MACD calculation (default is 26). Signal Line : The signal line period for MACD (default is 9). Stochastic Settings : Length : The period for the Stochastic Oscillator (default is 14). RSI Settings : Length : The period for the Relative Strength Index (default is 14). 🔵 Conclusion The Xmaster Formula Indicator is a versatile and reliable tool for forex traders, offering both simplicity and advanced analysis through its Standard and Advance modes. In Standard Mode, traders benefit from straightforward signals based on normalized moving average data, making it ideal for quick decision-making. Advance Mode, on the other hand, provides a more detailed analysis by combining multiple indicators like MACD, RSI, Stochastic Oscillator, and Parabolic SAR, delivering stronger confirmations for critical market decisions. While the Xmaster Formula Indicator offers valuable insights and reliable signals, it is important to use it alongside proper risk management and other analytical methods. By leveraging its capabilities effectively, traders can enhance their trading strategies and achieve better outcomes in the dynamic forex market.
مؤشر Pine Script®
من ‎TFlab‎
7
Leading T3Hello Fellas, Here, I applied a special technique of John F. Ehlers to make lagging indicators leading. The T3 itself is usually not realling the classic lagging indicator, so it is not really needed, but I still publish this indicator to demonstrate this technique of Ehlers applied on a simple indicator. The indicator does not repaint. In the following picture you can see a comparison of normal T3 (purple) compared to a 2-bar "leading" T3 (gradient): The range of the gradient is: Bottom Value: the lowest slope of the last 100 bars -> green Top Value: the highest slope of the last 100 bars -> purple Ehlers Special Technique John Ehlers did develop methods to make lagging indicators leading or predictive. One of these methods is the Predictive Moving Average, which he introduced in his book “Rocket Science for Traders”. The concept is to take a difference of a lagging line from the original function to produce a leading function. The idea is to extend this concept to moving averages. If you take a 7-bar Weighted Moving Average (WMA) of prices, that average lags the prices by 2 bars. If you take a 7-bar WMA of the first average, this second average is delayed another 2 bars. If you take the difference between the two averages and add that difference to the first average, the result should be a smoothed line of the original price function with no lag. T3 To compute the T3 moving average, it involves a triple smoothing process using exponential moving averages. Here's how it works: Calculate the first exponential moving average (EMA1) of the price data over a specific period 'n.' Calculate the second exponential moving average (EMA2) of EMA1 using the same period 'n.' Calculate the third exponential moving average (EMA3) of EMA2 using the same period 'n.' The formula for the T3 moving average is as follows: T3 = 3 * (EMA1) - 3 * (EMA2) + (EMA3) By applying this triple smoothing process, the T3 moving average is intended to offer reduced noise and improved responsiveness to price trends. It achieves this by incorporating multiple time frames of the exponential moving averages, resulting in a more accurate representation of the underlying price action. Thanks for checking this out and give a boost, if you enjoyed the content. Best regards, simwai --- Credits to @loxx
مؤشر Pine Script®
من ‎simwai‎
2
Adaptive Fisherized Z-scoreHello Fellas, It's time for a new adaptive fisherized indicator of me, where I apply adaptive length and more on a classic indicator. Today, I chose the Z-score, also called standard score, as indicator of interest. Special Features Advanced Smoothing: JMA, T3, Hann Window and Super Smoother Adaptive Length Algorithms: In-Phase Quadrature, Homodyne Discriminator, Median and Hilbert Transform Inverse Fisher Transform (IFT) Signals: Enter Long, Enter Short, Exit Long and Exit Short Bar Coloring: Presents the trade state as bar colors Band Levels: Changes the band levels Decision Making When you create such a mod you need to think about which concepts are the best to conclude. I decided to take Inverse Fisher Transform instead of normalization to make a version which fits to a fixed scale to avoid the usual distortion created by normalization. Moreover, I chose JMA, T3, Hann Window and Super Smoother, because JMA and T3 are the bleeding-edge MA's at the moment with the best balance of lag and responsiveness. Additionally, I chose Hann Window and Super Smoother because of their extraordinary smoothing capabilities and because Ehlers favours them. Furthermore, I decided to choose the half length of the dominant cycle instead of the full dominant cycle to make the indicator more responsive which is very important for a signal emitter like Z-score. Signal emitters always need to be faster or have the same speed as the filters they are combined with. Usage The Z-score is a low timeframe scalper which works best during choppy/ranging phases. The direction you should trade is determined by the last trend change. E.g. when the last trend change was from bearish market to bullish market and you are now in a choppy/ranging phase confirmed by e.g. Chop Zone or KAMA slope you want to do long trades. Interpretation The Z-score indicator is a momentum indicator which shows the number of standard deviations by which the value of a raw score (price/source) is above or below the mean value of what is being observed or measured. Easily explained, it is almost the same as Bollinger Bands with another visual representation form. Signals B -> Buy -> Z-score crosses above lower band S -> Short -> Z-score crosses below upper band BE -> Buy Exit -> Z-score crosses above 0 SE -> Sell Exit -> Z-score crosses below 0 If you were reading till here, thank you already. Now, follows a bunch of knowledge for people who don't know the concepts I talk about. T3 The T3 moving average, short for "Tim Tillson's Triple Exponential Moving Average," is a technical indicator used in financial markets and technical analysis to smooth out price data over a specific period. It was developed by Tim Tillson, a software project manager at Hewlett-Packard, with expertise in Mathematics and Computer Science. The T3 moving average is an enhancement of the traditional Exponential Moving Average (EMA) and aims to overcome some of its limitations. The primary goal of the T3 moving average is to provide a smoother representation of price trends while minimizing lag compared to other moving averages like Simple Moving Average (SMA), Weighted Moving Average (WMA), or EMA. To compute the T3 moving average, it involves a triple smoothing process using exponential moving averages. Here's how it works: Calculate the first exponential moving average (EMA1) of the price data over a specific period 'n.' Calculate the second exponential moving average (EMA2) of EMA1 using the same period 'n.' Calculate the third exponential moving average (EMA3) of EMA2 using the same period 'n.' The formula for the T3 moving average is as follows: T3 = 3 * (EMA1) - 3 * (EMA2) + (EMA3) By applying this triple smoothing process, the T3 moving average is intended to offer reduced noise and improved responsiveness to price trends. It achieves this by incorporating multiple time frames of the exponential moving averages, resulting in a more accurate representation of the underlying price action. JMA The Jurik Moving Average (JMA) is a technical indicator used in trading to predict price direction. Developed by Mark Jurik, it’s a type of weighted moving average that gives more weight to recent market data rather than past historical data. JMA is known for its superior noise elimination. It’s a causal, nonlinear, and adaptive filter, meaning it responds to changes in price action without introducing unnecessary lag. This makes JMA a world-class moving average that tracks and smooths price charts or any market-related time series with surprising agility. In comparison to other moving averages, such as the Exponential Moving Average (EMA), JMA is known to track fast price movement more accurately. This allows traders to apply their strategies to a more accurate picture of price action. Inverse Fisher Transform The Inverse Fisher Transform is a transform used in DSP to alter the Probability Distribution Function (PDF) of a signal or in our case of indicators. The result of using the Inverse Fisher Transform is that the output has a very high probability of being either +1 or –1. This bipolar probability distribution makes the Inverse Fisher Transform ideal for generating an indicator that provides clear buy and sell signals. Hann Window The Hann function (aka Hann Window) is named after the Austrian meteorologist Julius von Hann. It is a window function used to perform Hann smoothing. Super Smoother The Super Smoother uses a special mathematical process for the smoothing of data points. The Super Smoother is a technical analysis indicator designed to be smoother and with less lag than a traditional moving average. Adaptive Length Length based on the dominant cycle length measured by a "dominant cycle measurement" algorithm. Happy Trading! Best regards, simwai --- Credits to @cheatcountry @everget @loxx @DasanC @blackcat1402
مؤشر Pine Script®
من ‎simwai‎
4
Ehlers Combo Strategy🚀 Presenting the Enhanced Ehlers Combo Strategy 🚀 Hello Traders! 👋 I'm thrilled to share the latest version of the Ehlers Combo Strategy v2.0. This powerful algorithm combines Ehlers Elegant Oscillator, Decycler, Instantaneous Trendline, Spearman Rank, and introduces the Signal to Noise Ratio for even more precise trading signals. 📊 Strategy Highlights: Ehlers Elegant Oscillator: Captures market momentum and turning points. Ehlers Decycler: Filters out market noise for clearer trend signals. Instantaneous Trendline: Offers a dynamic view of the market trend. Spearman Rank: Analyzes market rank correlations for enhanced insights. Signal to Noise Ratio (SNR): Filters out noise for more accurate signals. 💡 Key Features & Customizations: Adaptive Length: Enable adaptive length based on the market's current conditions. SNR Threshold: Set your desired SNR threshold for filtering signals. Exit Length: Define the length for exit signals. 📈 Trading Signals: Long Entry: Elegant Oscillator and Decycler cross above 0, source crosses above Decycler, source is greater than an increasing Instantaneous Trendline, Spearman Rank is positive, and SNR exceeds the threshold. Long Exit: Source crosses below the Instantaneous Trendline after entering a long position. Short Entry: Elegant Oscillator and Decycler cross below 0, source crosses below Decycler, source is less than a decreasing Instantaneous Trendline, Spearman Rank is negative, and SNR exceeds the threshold. Short Exit: Source crosses above the Instantaneous Trendline after entering a short position. 📊 Insights & Enhancements: Dynamic Length: The strategy adapts its length dynamically based on market conditions. Improved SNR: Signal to Noise Ratio ensures better filtering of signals. Enhanced Visualization: The Elegant Oscillator now features improved color coding for a clearer interpretation. 🚨 Disclaimer: Trading involves risk, and this script should be used judiciously. It's not a guaranteed profit machine, but with careful use, it can be a valuable addition to your toolkit. Feel free to backtest, tweak, and make it your own! Let's conquer the markets together! 💪📈 🚀✨ Happy Trading! ✨🚀 --- 🙌 Credits: A big shoutout to the original contributors: @blackcat1402 @cheatcountry @DasanC
استراتيجية Pine Script®
من ‎simwai‎
4
ATR_RSI_Strategy v2 with no repaint [liwei666]🎲 Overview 🎯 this is a optimized version based on ATR_RSI_Strategy with no-repaint. Sharpe ratio: 1.4, trade times: 116 , trade symbol: BINANCE:BTCUSDTPERP 15M you can get same backtesting result with the correct settings. 🎲 Strategy Logic 🎯 the core logic is quite simple, use ATR and RSI and SMA 1. when price is in high volatility ( atr_value > atr_ma); 2. wait for a break signal (rsi_value > rsi_buy or rsi_value < rsi_sell); 3. entry Long or Short,use trailing stop-loss to max security and percent TP to keep profit. 🎲 Settings 🎯 there are 7 input properties in script, but I only finetune 4 of them ( bold field below ), you may change other parameter to get better result by yourself. atr_length: length to get atr value atr_ma_length : length of smoothing atr value atr_ma_norm_min : atr_ma normalized min value, filter high volatility ranges atr_ma_norm_max : atr_ma normalized max value, filter high volatility ranges rsi_length : length to get rsi value rsi_entry: 50 +/- rsi_entry to get entry threshold trailing_percent: trailing stop-loss percent 🎲 Usage 🎯 the commission set to 0.05% , part of exchange the commission is less than 0.05% in reality, but I will still use 0.05% in my next script. 🎯 this script use 50% of equity to size positions follow general script position, you can adjust the value to fix size or 100% of equity to compare result with other strategy, but I still suggest you use 5-10% of equity for each strategy in reality. 🎯any questions please comment below. if there are any words violate House Rule, please tell me below and i will revise immediately don't want be hiddened again 😂😂 Additionally, I plan to publish 20 profitable strategies in 2023; let‘s witness it together! Hope this strategy will be usefull for you :) enjoy! 🚀🚀🚀
استراتيجية Pine Script®
من ‎liwei666‎
4
Adaptive Fisherized ROCIntroduction Hello community, here I applied the Inverse Fisher Transform, Ehlers dominant cycle determination and smoothing methods on a simple Rate of Change (ROC) indicator You have a lot of options to adjust the indicator. Usage The rate of change is most often used to measure the change in a security's price over time. That's why it is a momentum indicator. When it is positive, prices are accelerating upward; when negative, downward. It is useable on every timeframe and could be a potential filter for you your trading system. IMO it could help you to confirm entries or find exits (e.g. you have a long open, roc goes negative, you exit). If you use a trend-following strategy, you could maybe look out for red zones in an in uptrend or green zones in a downtrend to confirm your entry on a pullback. Signals ROC above 0 => confirms bullish trend ROC below 0 => confirms bearish trend ROC hovers near 0 => price is consolidating Enjoy! 🚀
مؤشر Pine Script®
من ‎simwai‎
Peak/Valley EstimationEarly Signal Estimating the Peaks and Valleys or extrema of the price is one of the best way to catch up early movements of a trend. Of course there is no perfect way to do so, if we want a perfect estimation of peaks and valleys then we must use a non causal indicator ( repainting ), if we want a causal indicator ( non repainting ) then we will need to tradeoff accuracy for allowing our indicator to be causal, its always a matter of tradeoff at the end when trying to have a desired effect (smoothness/lag for filters) .Our indicator is causal, it wont repaint but the accuracy will depend on various parameters. In order to detect peaks and valleys in a certain period we must detrend the price, this mean subtracting it by its moving average. We take the absolute value of this result and we filter it with a local linear regression ( LSMA ) in order to eliminate noise, then we make the assumption that the highest of our result is or a peak or a valley of the price, so we divide our detrended calculation by its highest and we get a scaled result. Lets call this final result the peak index . Parameters There are 3 parameters in this indicator, a length parameter who control the period of the highest mentioned above, a smooth parameter who smooth our detrended price, and finally a mod parameter who select the trigger method for estimating a peak/valley. Here are how mods work : mod = 1 : when the peak index is equal to 1 and the previous value is not equal to 1 then we have a peak/valley. Its the fastest of the 3 mods but the one with less accuracy. mod = 2 : when the peak index crossunder 0.8 then we have a peak/valley. This method is more robust but slower than the previous one. mod = 3 : when the peak index is not equal to 1 and the previous peak index is equal to 1 then we have a peak/valley. Its an average of the precedents mod in term of speed and accuracy. Lower length values tend to estimate the peak/valley of short periods of time but can also lead to the reverse desired effect ( breakouts signals ). Smoothing is important since it reduce the number of noise in our calculation and therefore help to get better results, its a parameter that should be high, sometimes higher than length if this one is low. Estimation of medium terms peaks/valleys with length and smooth parameter both period 100 and mod = 3 Estimation peaks in palladium way to early, an example of bad accuracy. Such behaviour can be fixed with a change in the parameters. Complementarity With Classics Indicators As i said before its always a matter of tradeoff, here we get faster signals but we loose in accuracy, at the contrary classics indicators often have slower signals but with more accuracy. Mixing both of them can provide additional robustness in a strategy, lets take back our palladium case, using mod 3 could have been better, but its still not optimal, so lets use a classic indicator such as a moving average of period 200, our conditions are : Long when our peak/valley estimator estimated a valley and the price crossover our moving average. Short when our peak/valley estimator estimated a peak and the price crossunder our moving average. here is an exemple of such signal : We balanced our tradeoff in a way to fix both methods problems, of course its still not a perfect fix but it provide more robustness. Other Uses The indicator can also be used only as an order closing indicator, its safer than taking a position based on its estimation. The indicator can also give a use to the peak index used in the calculation as a trend strength indicator. Values below 0.5 indicate a ranging market while values over 0.5 indicate a trending market.Since its a scaled measure you can use it a smoothing constant in a adaptive filter. Conclusions I showed how to estimate peaks and valleys and how to use such information in order to make better decision when using classical indicators, of course at the end nothing is perfect and considering the non stationarity of the markets the parameters efficiency could change drastically. For any questions/demands feel free to pm me, i would be happy to help you
مؤشر Pine Script®
من ‎alexgrover‎
6