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RAHA Strategy - Short Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach. What is RAHA? This is an adjusted hybrid average that gives different weight to outliers: The extreme values (particularly high or low) receive a lower weight. The calculation is based on the standard deviation and average of the data. This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion. The RAHA Short Strategy identifies a negative trend and enters when clear technical conditions are met, such as a downward slope of RAHA 40, RAHA 10 crossing below RAHA 20, and the absence of a sequence of 3 red candles. Entry is also made in the exceptional case of a red candle above the Bollinger Band. The position size is determined by 1% of the capital divided by the stop. The exit is carried out by a stop above the high, or under additional conditions below the profit target (TP). אסטרטגיית השורט RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של: Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח. מהו RAHA? מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים: הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר. החישוב מבוסס על סטיית התקן והממוצע של הנתונים. כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה. אסטרטגיית השורט RAHA מזהה מגמה שלילית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע יורד של RAHA 40, חציית RAHA 10 מתחת ל‑RAHA 20, והיעדר רצף של 3 נרות אדומים. הכניסה מבוצעת גם במקרה חריג של נר אדום מעל רצועת בולינגר. גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ. היציאה מבוצעת לפי סטופ מעל הגבוה, או בתנאים נוספים מתחת ליעד הרווח (TP).
Pine Script® stratejisi
RoniPesach tarafından
RAHA Strategy - LongThe RAHA Long Strategy is based on a unique average formula called RAHA – an acronym for: Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach. What is RAHA? This is an adjusted hybrid average that gives different weight to outliers: The extreme values ​​(particularly high or low) receive a lower weight. The calculation is based on the standard deviation and average of the data. This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion. The RAHA Long Strategy identifies a positive trend and enters when clear technical conditions are met, such as an upward slope of RAHA 40, RAHA 10 crossing above RAHA 20, and the absence of a sequence of 3 green candles. Entry is also made in the exceptional case of a green candle below the Bollinger Band. The position size is determined by 1% of the capital divided by the stop. The exit is carried out by a stop below the low, or under additional conditions above the profit target (TP). אסטרטגיית הלונג RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של : Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח. מהו RAHA? מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים: הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר. החישוב מבוסס על סטיית התקן והממוצע של הנתונים. כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה. אסטרטגיית הלונג RAHA מזהה מגמה חיובית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע עולה של RAHA 40, חציית RAHA 10 מעל RAHA 20, והיעדר רצף של 3 נרות ירוקים. הכניסה מבוצעת גם במקרה חריג של נר ירוק מתחת לרצועת בולינגר. גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ. היציאה מבוצעת לפי סטופ מתחת לנמוך, או בתנאים נוספים מעל יעד הרווח (TP).
Pine Script® stratejisi
RoniPesach tarafından
Exponential Moving Averages📘 Exponential Moving Averages – Clean & Focused Trend Tool This script displays five Exponential Moving Averages (EMAs) — 10, 20, 50, 100, and 200 — that are commonly used by professional traders to identify short-, medium-, and long-term trend directions. It offers a simple, no-setup-needed solution for visualizing market momentum and price structure on any timeframe. 🧠 Why This Script Was Created Previously, many users faced confusion with built-in moving average scripts, where they had to manually change the type to EMA from the default SMA (Simple Moving Average). This extra step was unintuitive for newer users and could lead to misinterpretation of signals. To solve this, we’ve created a dedicated script that only plots Exponential Moving Averages — no configuration needed. EMAs are more responsive to price changes and widely used in real-world trading setups, especially for intraday and swing strategies. 🔍 How It Works EMA 10 & 20 – Detect short-term momentum shifts. EMA 50 & 100 – Help visualize medium-term trend strength. EMA 200 – Tracks long-term trend direction and institutional positioning. Each EMA is plotted with distinct colors and line thickness to make trend tracking fast and intuitive. ⚙️ How to Use Use across any timeframe (5m, 1H, 1D, etc.). Watch for crossovers between shorter and longer EMAs. Observe price interaction with EMAs as dynamic support/resistance levels. Combine with other tools like RSI, volume, or price action patterns for confirmation. 🌟 What Makes It Unique No settings confusion: Always uses EMA — no manual adjustments needed. Multiple EMAs in one: Avoid clutter by combining essential levels in a clean overlay. Practical by design: Built for traders who prefer responsive, real-time trend signals.
Pine Script® göstergesi
ChiragGoyal1 tarafından
📈 Smart Alert System — EMA/MA/Volume/SMC AlertsHere's a detailed description of your custom TradingView **Pine Script v6**: --- ### 📌 **Title**: Smart Alert System — Webhook Ready (with EMA, MA, Volume, and SMC) This script is designed to **monitor price behavior**, detect important **technical analysis events**, and **send real-time alerts via webhook to a Telegram bot**. --- ## 🔧 SETTINGS | Setting | Description | | ----------------------- | ------------------------------------------------------------------------------ | | `volumeSpikeMultiplier` | Multiplier to determine a volume spike compared to the 20-bar average volume | | `testAlert` | If `true`, sends a test alert when the indicator is first applied to the chart | --- ## 🔍 COMPONENT BREAKDOWN ### 1. **EMA & MA Calculations** These indicators are calculated and plotted on the chart: * **EMAs**: 13, 25, 30, 200 — used for trend and touch detection * **MAs**: 100, 300 — used for break and retest detection ```pinescript ema_13 = ta.ema(close, 13) ema_200 = ta.ema(close, 200) ma_100 = ta.sma(close, 100) ``` --- ### 2. **📈 Volume Spike Detection** * A volume spike is identified when the current bar's volume is **2x (default)** greater than the 20-period average. * A red triangle is plotted above such candles. * A **JSON alert** is triggered. ```pinescript volSpike = volume > avgVol * volumeSpikeMultiplier ``` --- ### 3. **📊 EMA Touch Alerts** * The script checks if the current close is: * Within 0.1% of an EMA value **OR** * Has crossed above/below it. * If so, it sends an alert with the EMA name. ```pinescript touch(val, crossed) => math.abs(close - val) / val < 0.001 or crossed ``` --- ### 4. **📉 MA Break and Retest Alerts** * A **break** is when price falls **below** a moving average. * A **retest** is when price climbs **above** the same average after breaking below. ```pinescript breakBelow(ma) => close > ma and close < ma ``` --- ### 5. 🧠 **SMC Alerts (Break of Structure \ & Change of Character \ )** These follow **Smart Money Concepts (SMC)**. The script identifies: * **BOS**: New higher high in uptrend or lower low in downtrend * **CHOCH**: Opposite of trend, e.g. lower low in uptrend or higher high in downtrend ```pinescript bos = (high > high ) and (low > low ) and (low > low ) choch = (low < low ) and (high < high ) and (high < high ) ``` --- ### 6. 🧪 Dummy Test Alert (1-time fire) * Sends a `"✅ Test Alert Fired"` to verify setup * Executes **once only** after adding the indicator ```pinescript var bool sentTest = false if testAlert and not sentTest ``` --- ### 7. 🚀 Alert Delivery (Webhook JSON) All alerts are sent as a JSON payload that looks like this: ```json { "pair": "BTCUSD", "event": "🔺 Volume Spike", "timeframe": "15", "timestamp": "2024-06-29T12:00:00Z", "volume": "654000" } ``` This format makes it compatible with your **Telegram webhook server**. --- ### 🔔 Alerts You Can Create in TradingView * Set **Webhook URL** to your `https://xxxx.ngrok-free.app/tradingview-webhook` * Use alert condition: `"Any alert()`" — because all logic is internal. * Select **"Webhook URL"** and leave the message body blank. --- ### 🛠️ Use Cases * Notify yourself on **EMA interaction** * Detect **trend shifts or retests** * Spot **volume-based market interest** * Get real-time **BOS/CHOCH alerts** for Smart Money strategies * Alert through **Telegram using your Node.js webhook server** --- Would you like me to break down the full Pine Script block-by-block as well?
Pine Script® göstergesi
essienabasiama11 tarafından
Multi-Timeframe EMA Overlay [Smoothed Approximation]in.tradingview.com This indicator displays Exponential Moving Averages (EMAs) from multiple timeframes (5m, 15m, 1H, 4H, 1D) on a single chart, regardless of your current timeframe. HOW IT WORKS You choose a base EMA length (e.g., 20). The script calculates equivalent lengths for other timeframes (e.g., for a 1H EMA while on a 1-minute chart: 20 × 60 = 1200 length). These adjusted EMAs are then computed and plotted — giving a continuous, smooth curve rather than a stepped line. KEY FEATURES 🟪 5m, 🟦 15m, 🟩 1H, 🟧 4H, 🟥 1D EMAs. 🧠 Smooth approximation — good for visual trend tracking without step lag. 🎛️ Toggle visibility for each timeframe EMA independently. 📈 Uses Trend Confirmation: Aligning short-term trades with higher timeframe trends (e.g., go long only when 15m & 1H EMAs are trending up). Confluence Zones: Price action near multiple EMA levels from different timeframes can indicate strong support/resistance zones. Entry Filters: Avoid trades against dominant higher timeframe trends. Example: On a 5m chart, only go long if price > 1H EMA. Reversal Watch: EMA convergence or crossovers across timeframes can signal potential trend shifts.
Pine Script® göstergesi
aryakid tarafından
Trading Tools🎯 Trading Tools – Your All-in-One Market Analysis Solution Developed by Marcelo Ulisses Sobreiro Ribeiro, Trading Tools is a powerful, multi-functional indicator that combines essential trading features into a single, streamlined tool. Perfect for traders who want clear, precise market opportunities across any asset or timeframe. 🔥 Key Features: 📊 Smart Moving Averages Customizable setup for up to 5 MAs (EMA, SMA, WMA). Color-coded fills between MAs to highlight trends (bullish/bearish). Dynamic 20-period MA (color shifts with trend). Alerts for crossovers and trend changes. 🕒 Killzones (High-Liquidity Sessions) Visual highlights for key trading sessions: Asia, London, NY AM, NY Lunch, and NY PM. Customizable colors and transparency. Drawing limit to avoid chart clutter. 📅 Time-Based Markers Day-of-week labels (option to hide weekends). Day separators (customizable style). 🎨 Rule-Based Candle Coloring Expanded True Range (large candles). Inside Bars. 123 Pattern (Mark Crisp). Bullish/Bearish Engulfing. Price of Closing Reversal (PFR). Market Strength. Overbought/Oversold (RSI & Stochastic). ⚖️ Imbalance Detector (FVG, OG, VI) Fair Value Gaps (FVG). Opening Gaps (OG). Volume Imbalance (VI). 🔄 Stochastic Cross & Valid Pullbacks Stochastic crossover signals (up/down arrows). Valid pullback alerts. 📈 Dynamic Support & Resistance Previous day’s high/low (PDH/PDL). Automatic pivot detection (significant highs/lows). ⚙️ Full Customization Adjust timeframe limits, timezone, label size, and colors. Control how many drawings are kept on the chart. 🚨 Built-in Alerts Alerts for 20-period MA, PFR, Pullbacks, and more! 📌 Why Use Trading Tools? All-in-one solution: No need for multiple indicators. Intuitive visuals: Colors and markers simplify setup identification. Adaptable: Works on any asset (forex, stocks, crypto). 🔹 Perfect for traders who want efficiency and clarity in their analysis!
Pine Script® göstergesi
musribeiro tarafından
4
Ticker Pulse Meter + Fear EKG StrategyDescription The Ticker Pulse Meter + Fear EKG Strategy is a technical analysis tool designed to identify potential entry and exit points for long positions based on price action relative to historical ranges. It combines two proprietary indicators: the Ticker Pulse Meter (TPM), which measures price positioning within short- and long-term ranges, and the Fear EKG, a VIX-inspired oscillator that detects extreme market conditions. The strategy is non-repainting, ensuring signals are generated only on confirmed bars to avoid false positives. Visual enhancements, such as optional moving averages and Bollinger Bands, provide additional context but are not core to the strategy's logic. This script is suitable for traders seeking a systematic approach to capturing momentum and mean-reversion opportunities. How It Works The strategy evaluates price action using two key metrics: Ticker Pulse Meter (TPM): Measures the current price's position within short- and long-term price ranges to identify momentum or overextension. Fear EKG: Detects extreme selling pressure (akin to "irrational selling") by analyzing price behavior relative to historical lows, inspired by volatility-based oscillators. Entry signals are generated when specific conditions align, indicating potential buying opportunities. Exits are triggered based on predefined thresholds or partial position closures to manage risk. The strategy supports customizable lookback periods, thresholds, and exit percentages, allowing flexibility across different markets and timeframes. Visual cues, such as entry/exit dots and a position table, enhance usability, while optional overlays like moving averages and Bollinger Bands provide additional chart context. Calculation Overview Price Range Calculations: Short-Term Range: Uses the lowest low (min_price_short) and highest high (max_price_short) over a user-defined short lookback period (lookback_short, default 50 bars). Long-Term Range: Uses the lowest low (min_price_long) and highest high (max_price_long) over a user-defined long lookback period (lookback_long, default 200 bars). Percentage Metrics: pct_above_short: Percentage of the current close above the short-term range. pct_above_long: Percentage of the current close above the long-term range. Combined metrics (pct_above_long_above_short, pct_below_long_below_short) normalize price action for signal generation. Signal Generation: Long Entry (TPM): Triggered when pct_above_long_above_short crosses above a user-defined threshold (entryThresholdhigh, default 20) and pct_below_long_below_short is below a low threshold (entryThresholdlow, default 40). Long Entry (Fear EKG): Triggered when pct_below_long_below_short crosses under an extreme threshold (orangeEntryThreshold, default 95), indicating potential oversold conditions. Long Exit: Triggered when pct_above_long_above_short crosses under a profit-taking level (profitTake, default 95). Partial exits are supported via a user-defined percentage (exitAmt, default 50%). Non-Repainting Logic: Signals are calculated using data from the previous bar ( ) and only plotted on confirmed bars (barstate.isconfirmed), ensuring reliability. Visual Enhancements: Optional moving averages (SMA, EMA, WMA, VWMA, or SMMA) and Bollinger Bands can be enabled for trend context. A position table displays real-time metrics, including open positions, Fear EKG, and Ticker Pulse values. Background highlights mark periods of high selling pressure. Entry Rules Long Entry: TPM Signal: Occurs when the price shows strength relative to both short- and long-term ranges, as defined by pct_above_long_above_short crossing above entryThresholdhigh and pct_below_long_below_short below entryThresholdlow. Fear EKG Signal: Triggered by extreme selling pressure, when pct_below_long_below_short crosses under orangeEntryThreshold. This signal is optional and can be toggled via enable_yellow_signals. Entries are executed only on confirmed bars to prevent repainting. Exit Rules Long Exit: Triggered when pct_above_long_above_short crosses under profitTake. Partial exits are supported, with the strategy closing a user-defined percentage of the position (exitAmt) up to four times per position (exit_count limit). Exits can be disabled or adjusted via enable_short_signal and exitPercentage settings. Inputs Backtest Start Date: Defines the start of the backtesting period (default: Jan 1, 2017). Lookback Periods: Short (lookback_short, default 50) and long (lookback_long, default 200) periods for range calculations. Resolution: Timeframe for price data (default: Daily). Entry/Exit Thresholds: entryThresholdhigh (default 20): Threshold for TPM entry. entryThresholdlow (default 40): Secondary condition for TPM entry. orangeEntryThreshold (default 95): Threshold for Fear EKG entry. profitTake (default 95): Exit threshold. exitAmt (default 50%): Percentage of position to exit. Visual Options: Toggle for moving averages and Bollinger Bands, with customizable types and lengths. Notes The strategy is designed to work across various timeframes and assets, with data sourced from user-selected resolutions (i_res). Alerts are included for long entry and exit signals, facilitating integration with TradingView's alert system. The script avoids repainting by using confirmed bar data and shifted calculations ( ). Visual elements (e.g., SMA, Bollinger Bands) are inspired by standard Pine Script practices and are optional, not integral to the core logic. Usage Apply the script to a chart, adjust input settings to suit your trading style, and use the visual cues (entry/exit dots, position table) to monitor signals. Enable alerts for real-time notifications. Designed to work best on Daily timeframe.
Pine Script® stratejisi
chuckaschultz tarafından
Super PerformanceThe "Super Performance" script is a custom indicator written in Pine Script (version 6) for use on the TradingView platform. Its main purpose is to visually compare the performance of a selected stock or index against a benchmark index (default: NIFTYMIDSML400) over various timeframes, and to display sector-wise performance rankings in a clear, tabular format. Key Features: Customizable Display: Users can toggle between dark and light color themes, enable or disable extended data columns, and choose between a compact "Mini Mode" or a full-featured table view. Table positions and sizes are also configurable for both stock and sector tables. Performance Calculation: The script calculates percentage price changes for the selected stock and the benchmark index over multiple periods: 1, 5, 10, 20, 50, and 200 days. It then checks if the stock is outperforming the index for each period. Conviction Score: For each period where the stock outperforms the index, a "conviction score" is incremented. This score is mapped to qualitative labels such as "Super solid," "Solid," "Good," etc., and is color-coded for quick visual interpretation. Sector Performance Table: The script tracks 19 sector indices (e.g., REALTY, IT, PHARMA, AUTO, ENERGY) and calculates their performance over 1, 5, 10, 20, and 60-day periods. It then ranks the top 5 performing sectors for each timeframe and displays them in a sector performance table. Visual Output: Two tables are constructed: Stock Performance Table: Shows the stock's returns, index returns, outperformance markers (✔/✖), and the difference for each period, along with the overall conviction score. Sector Performance Table: Ranks and displays the top 5 sectors for each timeframe, with color-coded performance values for easy comparison.
Pine Script® göstergesi
priteshmailbox tarafından
Top 5 Sector Performancehe indicator creates a table showing: Top 5 performing sectors for 3 timeframes: 1-day, 10-day, and 20-day periods Performance data including sector name and percentage change Color-coded results: Green (positive), Red (negative), Gray ("N/A" for missing data) Key Features Table Structure: Columns: Rank | 1-Day | 10-Day | 20-Day Rows: Top 5 sectors for each timeframe Header: Dark gray background with white text Rows: Alternating dark gray shades for readability
Pine Script® göstergesi
priteshmailbox tarafından
LVN/HVN Auto Detection [PhenLabs]📊 PhenLabs - LVN/HVN Auto Detection Version: PineScript™ v6 📌 Description The PhenLabs LVN/HVN Auto Detection indicator is an advanced volume profile analysis tool that automatically identifies Low Volume Nodes (LVN) and High Volume Nodes (HVN) across multiple trading sessions. This sophisticated indicator analyzes volume distribution patterns to pinpoint critical support and resistance levels where price is likely to react, providing traders with high-probability zones for entries, exits, and risk management. Unlike traditional volume indicators that only show current activity, this tool builds comprehensive volume profiles from historical sessions and intelligently filters the most significant levels. It combines real-time volume analysis with dynamic level detection, offering both visual bubbles for immediate volume activity and persistent horizontal lines that act as ongoing support/resistance references. 🚀 Points of Innovation Multi-Session Volume Profile Analysis - Automatically calculates and analyzes volume profiles across the last 5 trading sessions Intelligent Level Separation Logic - Prevents overlapping signals by maintaining minimum separation between LVN and HVN levels Dynamic Timeframe Adaptation - Automatically adjusts session lengths based on chart timeframe for optimal level detection Real-Time Activity Bubbles - Shows volume activity strength through different bubble sizes at key levels Persistent Line Management - Creates horizontal lines that extend until price crosses them, providing ongoing reference points Dual Threshold System - Independent percentage-based thresholds for both LVN and HVN identification 🔧 Core Components Volume Profile Engine : Builds 20-row volume profiles for each analyzed session, distributing volume across price levels Level Identification Algorithm : Uses percentage-based thresholds to classify volume distribution patterns Separation Logic : Ensures minimum distance between conflicting levels, prioritizing HVN when overlap occurs Line Management System : Tracks active support/resistance lines and removes them when price crosses through Volume Activity Monitor : Compares current volume to 13-period moving average for activity classification 🔥 Key Features Customizable Thresholds : LVN threshold (5-35%, default 20%) and HVN threshold (65-95%, default 80%) for precise level filtering Volume Activity Multiplier : Adjustable volume threshold (0.5+, default 1.5) for bubble and line creation sensitivity Flexible Display Modes : Choose between Lines only, Bubbles only, or Both for optimal chart clarity Smart Level Separation : Minimum separation percentage (0.1-2%, default 0.5%) prevents conflicting signals Color Customization : Independent color controls for LVN (red) and HVN (blue) elements Performance Optimization : Processes every 15 bars with maximum 500 active lines for smooth operation 🎨 Visualization Colored Bubbles : Three sizes (large, medium, small) indicate volume activity strength at key levels Horizontal Lines : Persistent support/resistance lines with width corresponding to volume activity Dual Color System : Semi-transparent red for LVN areas, semi-transparent blue for HVN zones Information Tooltip : Optional table showing usage guidelines and optimization tips 📖 Usage Guidelines Volume Thresholds LVN Threshold ○ Default: 20.0% ○ Range: 5.0-35.0% ○ Description: Price levels with volume below this percentage are marked as LVNs. Lower values create fewer, more significant levels. Typical range 15-25% works for most instruments. HVN Threshold ○ Default: 80.0% ○ Range: 65.0-95.0% ○ Description: Price levels with volume above this percentage are marked as HVNs. Higher values create fewer, stronger levels. Range 75-85% is optimal for most trading. Display Controls Volume Threshold ○ Default: 1.5 ○ Range: 0.5+ ○ Description: Multiplier for volume significance (High=2+threshold, Medium=1+threshold, Low=0+threshold). Higher values require more volume for signals. ✅ Best Use Cases Swing Trading : Identify key levels for position entries and exits over multiple days Scalping : Use bubbles for immediate volume activity confirmation at critical levels Risk Management : Place stops beyond LVN levels where price moves quickly Breakout Trading : Monitor HVN levels for potential breakout or rejection scenarios Multi-Timeframe Analysis : Combine with higher timeframe levels for confluence ⚠️ Limitations Timeframe Sensitivity : Lower timeframes may produce too many levels; higher timeframes recommended for cleaner signals Volume Data Dependency : Accuracy depends on reliable volume data from your data provider Historical Analysis : Uses past volume data which may not predict future price behavior Performance Impact : High number of active lines may affect chart performance on slower devices 💡 What Makes This Unique Automated Session Analysis : No manual drawing required - automatically analyzes multiple sessions Intelligent Filtering : Advanced separation logic prevents overlapping and conflicting signals Adaptive Processing : Adjusts to different timeframes automatically for optimal level detection Dual Visualization System : Combines persistent lines with real-time activity indicators 🔬 How It Works 1. Volume Profile Construction : Analyzes the last 5 trading sessions with dynamic session length based on timeframe Divides each session’s price range into 20 equal levels for volume distribution analysis 2. Level Classification : Calculates volume percentage at each price level relative to session maximum Identifies LVN levels below threshold and HVN levels above threshold 3. Signal Generation : Creates bubbles when volume activity exceeds thresholds at identified levels Draws horizontal lines that persist until price crosses through them 💡 Note : For optimal results, increase your chart timeframe if you see too many levels. The indicator performs best on 15-minute and higher timeframes where volume patterns are more meaningful and less noisy.
Pine Script® göstergesi
PhenLabs tarafından
Quantum Reversal# 🧠 Quantum Reversal ## **Quantitative Mean Reversion Framework** This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**. --- ## ⚡ **Core Technical Architecture** ### 📊 **Statistical Foundation** - **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals - **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns - **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions ### 🔬 **Momentum Analysis Layer** - **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45 - **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals - **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings ### ⚙️ **Entry Logic Architecture** ``` Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45) ``` - **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry - **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity - **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure ### 🎯 **Exit Strategy Optimization** - **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L - **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion - **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels --- ## 📈 **Statistical Properties** ### **Risk Management Framework** - **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets - **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves - **Position Management**: Single position limit prevents over-leveraging ### **Signal Processing Characteristics** - **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations - **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility - **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment --- ## 🔧 **Parameter Configuration** | Technical Parameter | Value | Statistical Significance | |-------------------|-------|-------------------------| | Bollinger Period | 20 | Standard statistical lookback for volatility calculation | | Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) | | RSI Period | 14 | Traditional momentum oscillator period | | RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics | | Smoothing Period | 5 | Noise reduction filter for momentum signals | --- ## 📊 **Algorithmic Advantages** ✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets ✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions ✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives ✅ **Momentum Integration**: RSI smoothing improves signal quality and timing ✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias --- ## 🔬 **Mathematical Foundation** The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal. **Statistical Basis:** - Mean reversion follows the principle that extreme price deviations from the moving average are temporary - The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution - RSI momentum smoothing reduces noise inherent in oscillator calculations --- ## ⚠️ **Risk Considerations** This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential. --- ## 🎯 **Implementation Notes** - **Market Regime Awareness**: Most effective in ranging/consolidating markets - **Volatility Sensitivity**: Performance may vary during extreme volatility events - **Backtesting Recommended**: Historical performance analysis advised before live implementation - **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach --- **Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
Pine Script® stratejisi
ArganaBridgeCapital tarafından
6
Canuck Trading Trader StrategyCanuck Trading Trader Strategy Overview The Canuck Trading Trader Strategy is a high-performance, trend-following trading system designed for NASDAQ:TSLA on a 15-minute timeframe. Optimized for precision and profitability, this strategy leverages short-term price trends to capture consistent gains while maintaining robust risk management. Ideal for traders seeking an automated, data-driven approach to trading Tesla’s volatile market, it delivers strong returns with controlled drawdowns. Key Features Trend-Based Entries: Identifies short-term trends using a 2-candle lookback period and a minimum trend strength of 0.2%, ensuring responsive trade signals. Risk Management: Includes a configurable 3.0% stop-loss to cap losses and a 2.0% take-profit to lock in gains, balancing risk and reward. High Precision: Utilizes bar magnification for accurate backtesting, reflecting realistic trade execution with 1-tick slippage and 0.1 commission. Clean Interface: No on-chart indicators, providing a distraction-free trading experience focused on performance. Flexible Sizing: Allocates 10% of equity per trade with support for up to 2 simultaneous positions (pyramiding). Performance Highlights Backtested from March 1, 2024, to June 20, 2025, on NASDAQ:TSLA (15-minute timeframe) with $1,000,000 initial capital: Net Profit: $2,279,888.08 (227.99%) Win Rate: 52.94% (3,039 winning trades out of 5,741) Profit Factor: 3.495 Max Drawdown: 2.20% Average Winning Trade: $1,050.91 (0.55%) Average Losing Trade: $338.20 (0.18%) Sharpe Ratio: 2.468 Note: Past performance is not indicative of future results. Always validate with your own backtesting and forward testing. Usage Instructions Setup: Apply the strategy to a NASDAQ:TSLA 15-minute chart. Ensure your TradingView account supports bar magnification for accurate results. Configuration: Lookback Candles: Default is 2 (recommended). Min Trend Strength: Set to 0.2% for optimal trade frequency. Stop Loss: Default 3.0% to cap losses. Take Profit: Default 2.0% to secure gains. Order Size: 10% of equity per trade. Pyramiding: Allows up to 2 orders. Commission: Set to 0.1. Slippage: Set to 1 tick. Enable "Recalculate After Order is Filled" and "Recalculate on Every Tick" in backtest settings. Backtesting: Run backtests over March 1, 2024, to June 20, 2025, to verify performance. Adjust stop-loss (e.g., 2.5%) or take-profit (e.g., 1–3%) to suit your risk tolerance. Live Trading: Use with a compatible broker or TradingView alerts for automated execution. Monitor execution for slippage or latency, especially given the high trade frequency (5,741 trades). Validate in a demo account before deploying with real capital. Risk Disclosure Trading involves significant risk and may result in losses exceeding your initial capital. The Canuck Trading Trader Strategy is provided for educational and informational purposes only. Users are responsible for their own trading decisions and should conduct thorough testing before using in live markets. The strategy’s high trade frequency requires reliable execution infrastructure to minimize slippage and latency.
Pine Script® stratejisi
ctoincanada tarafından
2
Intermarket Correlation Oscillator (ICO)The Intermarket Correlation Oscillator (ICO) is a TradingView indicator that helps traders analyze the relationship between two assets, such as stocks, indices, or cryptocurrencies, by measuring their price correlation. It displays this correlation as an oscillator ranging from -1 to +1, making it easy to spot whether the assets move together, oppositely, or independently. A value near +1 indicates strong positive correlation (assets move in the same direction), near -1 shows strong negative correlation (opposite movements), and near 0 suggests no correlation. This tool is ideal for confirming trends, spotting divergences, or identifying hedging opportunities across markets. How It Works? The ICO calculates the Pearson correlation coefficient between the chart’s primary asset (e.g., Apple stock) and a secondary asset you choose (e.g., SPY for the S&P 500) over a specified number of bars (default: 20). The oscillator is plotted in a separate pane below the chart, with key levels at +0.8 (overbought, strong positive correlation) and -0.8 (oversold, strong negative correlation). A midline at 0 helps gauge neutral correlation. When the oscillator crosses these levels or the midline, labels ("OB" for overbought, "OS" for oversold) and alerts notify you of significant shifts. Shaded zones highlight extreme correlations (red for overbought, green for oversold) if enabled. Why Use the ICO? Trend Confirmation: High positive correlation (e.g., SPY and QQQ both rising) confirms market trends. Divergence Detection: Negative correlation (e.g., DXY rising while stocks fall) signals potential reversals. Hedging: Identify negatively correlated assets to balance your portfolio. Market Insights: Understand how assets like stocks, bonds, or crypto interact. Easy Steps to Use the ICO in TradingView Add the Indicator: Open TradingView and load your chart (e.g., AAPL on a daily timeframe). Go to the Pine Editor at the bottom of the TradingView window. Copy and paste the ICO script provided earlier. Click "Add to Chart" to display the oscillator below your price chart. Configure Settings: Click the gear icon next to the indicator’s name in the chart pane to open settings. Secondary Symbol: Choose an asset to compare with your chart’s symbol (e.g., "SPY" for S&P 500, "DXY" for USD Index, or "BTCUSD" for Bitcoin). Default is SPY. Correlation Lookback Period: Set the number of bars for calculation (default: 20). Use 10-14 for short-term trading or 50 for longer-term analysis. Overbought/Oversold Levels: Adjust thresholds (default: +0.8 for overbought, -0.8 for oversold) to suit your strategy. Lower values (e.g., ±0.7) give more signals. Show Midline/Zones: Check boxes to display the zero line and shaded overbought/oversold zones for visual clarity. Interpret the Oscillator: Above +0.8: Strong positive correlation (red zone). Assets move together. Below -0.8: Strong negative correlation (green zone). Assets move oppositely. Near 0: No clear relationship (midline reference). Labels: "OB" or "OS" appears when crossing overbought/oversold levels, signaling potential correlation shifts. Set Up Alerts: Right-click the indicator, select "Add Alert." Choose conditions like "Overbought Alert" (crossing above +0.8), "Oversold Alert" (crossing below -0.8), or zero-line crossings for bullish/bearish correlation shifts. Configure notifications (e.g., email, SMS) to stay informed. Apply to Trading: Use positive correlation to confirm trades (e.g., buy AAPL if SPY is rising and correlation is high). Spot divergences for reversals (e.g., stocks dropping while DXY rises with negative correlation). Combine with other indicators like RSI or moving averages for stronger signals. Tips for New Users Start with related assets (e.g., SPY and QQQ for tech stocks) to see clear correlations. Test on a demo account to understand signals before trading live. Be aware that correlation is a lagging indicator; confirm signals with price action. If the secondary symbol doesn’t load, ensure it’s valid on TradingView (e.g., use correct ticker format). The ICO is a powerful, beginner-friendly tool to explore intermarket relationships, enhancing your trading decisions with clear visual cues and alerts.
Pine Script® göstergesi
Trading_Indicator_Pro tarafından
TAIndicatorsThis library offers a comprehensive suite of enhanced technical indicator functions, building upon TradingView's built-in indicators. The primary advantage of this library is its expanded flexibility, allowing you to select from a wider range of moving average types for calculations and smoothing across various indicators. The core difference between these functions and TradingView's standard ones is the ability to specify different moving average types beyond the default. While a standard ta.rsi() is fixed, the rsi() in this library, for example, can be smoothed by an 'SMMA (RMA)', 'WMA', 'VWMA', or others, giving you greater control over your analysis. █ FEATURES This library provides enhanced versions of the following popular indicators: Moving Average (ma): A versatile MA function that includes optional secondary smoothing and Bollinger Bands. RSI (rsi): Calculate RSI with an optional smoothed signal line using various MA types, plus built-in divergence detection. MACD (macd): A MACD function where you can define the MA type for both the main calculation and the signal line. ATR (atr): An ATR function that allows for different smoothing types. VWAP (vwap): A comprehensive anchored VWAP with multiple configurable bands. ADX (adx): A standard ADX calculation. Cumulative Volume Delta (cvd): Provides CVD data based on a lower timeframe. Bollinger Bands (bb): Create Bollinger Bands with a customizable MA type for the basis line. Keltner Channels (kc): Keltner Channels with selectable MA types and band styles. On-Balance Volume (obv): An OBV indicator with an optional smoothed signal line using various MA types. ... and more to come! This library will be actively maintained, with new useful indicator functions added over time. █ HOW TO USE To use this library in your scripts, import it using its publishing link. You can then call the functions directly. For example, to calculate a Weighted Moving Average (WMA) and then smooth it with a Simple Moving Average (SMA) : import ActiveQuants/TAIndicators/1 as tai // Calculate a 20-period WMA of the close // Then, smooth the result with a 10-period SMA = tai.ma("WMA", close, 20, "SMA", 10) plot(myWma, color = color.blue) plot(smoothedWma, color = color.orange) █ Why Choose This Library? If you're looking for more control and customization than what's offered by the standard built-in functions, this library is for you. By allowing for a variety of smoothing methods across multiple indicators, it enables a more nuanced and personalized approach to technical analysis. Fine-tune your indicators to better fit your trading style and strategies.
Pine Script® kütüphanesi
ActiveQuants tarafından
Trend Flow Trail [AlgoAlpha]OVERVIEW This script overlays a custom hybrid indicator called the Money Flow Trail which combines a volatility-based trend-following trail with a volume-weighted momentum oscillator. It’s built around two core components: the AlphaTrail—a dynamic band system influenced by Hull MA and volatility—and a smoothed Money Flow Index (MFI) that provides insights into buying or selling pressure. Together, these tools are used to color bars, generate potential reversal markers, and assist traders in identifying trend continuation or exhaustion phases in any market or timeframe. CONCEPTS The AlphaTrail calculates a volatility-adjusted channel around price using the Hull Moving Average as the base and an EMA of range as the spread. It adaptively shifts based on price interaction to capture trend reversals while avoiding whipsaws. The direction (bullish or bearish) determines both the band being tracked and how the trail locks in. The Money Flow Index (MFI) is derived from hlc3 and volume, measuring buying vs selling pressure, and is further smoothed with a short Hull MA to reduce noise while preserving structure. These two systems work in tandem: AlphaTrail governs directional context, while MFI refines the timing. FEATURES Dynamic AlphaTrail line with regime switching logic that controls directional bias and bar coloring. Smoothed MFI with gradient coloring to visually communicate pressure and exhaustion levels. Overbought/oversold thresholds (80/20), mid-level (50), and custom extreme zones (90/10) for deeper signal granularity. Built-in take-profit signal logic: crossover of MFI into overbought with bullish AlphaTrail, or into oversold with bearish AlphaTrail. Visual fills between price and AlphaTrail for clearer confirmation during trend phases. Alerts for regime shifts, MFI crossovers, trail interactions, and bar color regime changes. USAGE Add the indicator to any chart. Use the AlphaTrail plot to define trend context: bullish (trailing below price) or bearish (trailing above). MFI values give supporting confirmation—favor long setups when MFI is rising and above 50 in a bullish regime, and shorts when MFI is falling and below 50 in a bearish regime. The colored fills help visually track strength; sharp changes in MFI crossing 80/20 or 90/10 zones often precede pullbacks or reversals. Use the plotted circles as optional take-profit signals when MFI and trend are extended. Adjust AlphaTrail length/multiplier and MFI smoothing to better match the asset’s volatility profile.
Pine Script® göstergesi
AlgoAlpha tarafından
18
MTF RSI MA System + Adaptive BandsMTF RSI MA System + Adaptive Bands Overview MTF RSI MA System + Adaptive Bands is a highly customizable Pine Script indicator for traders seeking a versatile tool for multi-timeframe (MTF) analysis. Unlike traditional RSI, it focuses on the Moving Average of RSI (RSI MA), delivering smoother and more flexible trading signals. The main screenshot displays the indicator in two panels to showcase its diverse capabilities. Important: Timeframes do not adjust automatically – users must manually set them to match the chart’s timeframe. Features Core Component: Built around RSI MA, not raw RSI, for smoother trend signals. Multi-Timeframe: Analyze RSI MA across three customizable timeframes (default: 4H, 8H, 12H). Adaptive Bands: Three band calculation methods (Fixed, Percent, StdDev) for dynamic signals. Flexible Signals: Generated via RSI MA crossovers, band interactions, or directional alignment across timeframes. Background Coloring: Highlights when RSI MAs across timeframes move in the same direction, aiding trend confirmation. Screenshot Panels Configuration Upper Panel: Shows RSI, RSI MA, and fixed bands for reversal strategies (RSI crossing bands). Lower Panel: Displays three RSI MAs (Alligator-style) for trend-following, with background coloring for directional alignment. Band Calculation Methods The indicator offers three ways to calculate bands around RSI MA, each with unique characteristics: Fixed Bands Set at a fixed point value (default: 10) above and below RSI MA. Example: If RSI MA = 50, band value = 10 → upper band = 60, lower = 40. Use Case: Best for stable markets or fixed-range preferences. Tip: Adjust the band value to widen or narrow the range based on asset volatility. Percent Bands Calculated as a percentage of RSI MA (default: 10%). Example: If RSI MA = 50, band value = 10% → upper band = 55, lower = 45. Use Case: Ideal for assets with varying volatility, as bands scale with RSI MA. Tip: Experiment with percentage values to match typical price swings. Standard Deviation Bands (StdDev) Based on RSI’s standard deviation over the MA period, multiplied by a user-defined factor (default: 10). Example: If RSI MA = 50, standard deviation = 5, factor = 2 → upper band = 60, lower = 40. Important: The default value (10) may produce wide bands. Reduce to 1–2 for tighter, practical bands. Use Case: Best for dynamic markets with fluctuating volatility. Configuration Options RSI Length: Set RSI calculation period (default: 20). MA Length: Set RSI MA period (default: 20). MA Type: Choose SMA or EMA for RSI MA (default: EMA). Timeframes: Configure three timeframes (default: 4H, 8H, 12H) for MTF analysis. Overbought/Oversold Levels: Optionally display fixed levels (default: 70/30). Background Coloring: Enable/disable for each timeframe to highlight directional alignment. How to Use Add Indicator: Load it onto your TradingView chart. Setup: Reversals: Configure like the upper panel (RSI, RSI MA, bands) and watch for RSI crossing bands. Trends: Configure like the lower panel (three RSI MAs) and look for fastest MA crossovers and background coloring. Adjust Timeframes: Manually set tf1, tf2, tf3 (e.g., 1H, 2H, 4H on a 1H chart) to suit your strategy. Adjust Bands: Choose band type (Fixed, Percent, StdDev) and value. For StdDev, reduce to 1–2 for tighter bands. Experiment: Test settings to match your trading style, whether scalping, swing trading, or long-term. Notes Timeframes: Always match tf1, tf2, tf3 to your chart’s needs, as they don’t auto-adjust. StdDev Bands: Lower the default value (10) to avoid overly wide bands. Versatility: Works across markets (stocks, forex, crypto).
Pine Script® göstergesi
Uncle_the_shooter tarafından
Copper to Gold Ratioratio = copper / gold: Calculates the ratio by dividing copper price by gold price. plot(ratio): Plots the ratio as a blue line. ma = ta.sma(ratio, 20): Adds a 20-period simple moving average (optional) to smooth the ratio, plotted as a red line. A rising Copper/Gold ratio often signals economic expansion (strong copper demand relative to gold), while a falling ratio may indicate economic uncertainty or recession fears, as gold outperforms copper. The ratio is also used as a leading indicator for 10-year U.S. Treasury yields, with a rising ratio often correlating with higher yields.
Pine Script® göstergesi
bfrahm73 tarafından
X-Day Capital Efficiency ScoreThis indicator helps identify the Most Profitable Movers for Your fixed Capital (ie, which assets offer the best average intraday profit potential for a fixed capital). Unlike traditional volatility indicators (like ATR or % change), this script calculates how much real dollar profit you could have made each day over a custom lookback period — assuming you deployed your full capital into that ticker daily. How it works: Calculates the daily intraday range (high − low) Filters for clean candles (where body > 60% of the candle range) Assumes you invested the full amount of capital ($100K set as default) on each valid day Computes an average daily profit score based on price action over the selected period (default set to 20 days) Plots the score in dollars — higher = more efficient use of capital Why It’s Useful: Compare tickers based on real dollar return potential — not just % volatility Spot low-priced, high-volatility stocks that are better suited for intraday or momentum trading Inputs: Capital ($): Amount you're hypothetically deploying (e.g., 100,000) Look Back Period: Number of past days to average over (e.g., 20)
Pine Script® göstergesi
FYMDGLV tarafından
Linear Regression Forecast (ADX Adaptive)Linear Regression Forecast (ADX Adaptive) This indicator is a dynamic price projection tool that combines multiple linear regression forecasts into a single, adaptive forecast curve. By integrating trend strength via the ADX and directional bias, it aims to visualize how price might evolve in different market environments—from strong trends to mean-reverting conditions. Core Concept: This tool builds forward price projections based on a blend of linear regression models with varying lookback lengths (from 2 up to a user-defined max). It then adjusts those projections using two key mechanisms: ADX-Weighted Forecast Blending In trending conditions (high ADX), the model follows the raw forecast direction. In ranging markets (low ADX), the forecast flips or reverts, biasing toward mean-reversion. A logistic transformation of directional bias, controlled by a steepness parameter, determines how aggressively this blending reacts to price behavior. Volatility Scaling The forecast’s magnitude is scaled based on ADX and directional conviction. When trends are unclear (low ADX or neutral bias), the projection range expands to reflect greater uncertainty and volatility. How It Works: Regression Curve Generation For each regression length from 2 to maxLength, a forward projection is calculated using least-squares linear regression on the selected price source. These forecasts are extrapolated into the future. Directional Bias Calculation The forecasted points are analyzed to determine a normalized bias value in the range -1 to +1, where +1 means strongly bullish, -1 means strongly bearish, and 0 means neutral. Logistic Bias Transformation The raw bias is passed through a logistic sigmoid function, with a user-defined steepness. This creates a probability-like weight that favors either following or reversing the forecast depending on market context. ADX-Based Weighting ADX determines the weighting between trend-following and mean-reversion modes. Below ADX 20, the model favors mean-reversion. Above 25, it favors trend-following. Between 20 and 25, it linearly blends the two. Blended Forecast Curve Each forecast point is blended between trend-following and mean-reverting values, scaled for volatility. What You See: Forecast Lines: Projected future price paths drawn in green or red depending on direction. Bias Plot: A separate plot showing post-blend directional bias as a percentage, where +100 is strongly bullish and -100 is strongly bearish. Neutral Line: A dashed horizontal line at 0 percent bias to indicate neutrality. User Inputs: -Max Regression Length -Price Source -Line Width -Bias Steepness -ADX Length and Smoothing Use Cases: Visualize expected price direction under different trend conditions Adjust trading behavior depending on trending vs ranging markets Combine with other tools for deeper analysis Important Notes: This indicator is for visualization and analysis only. It does not provide buy or sell signals and should not be used in isolation. It makes assumptions based on historical price action and should be interpreted with market context.
Pine Script® göstergesi
Tradenometry tarafından
2