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Tactical DeviationTactical Deviation - Multi-Timeframe VWAP Deviation Analysis OVERVIEW Tactical Deviation combines Volume-Weighted Average Price (VWAP) with statistical standard deviation analysis across multiple timeframes (daily, weekly, monthly) to identify potential mean reversion opportunities and extreme price conditions. WHAT MAKES THIS ORIGINAL This script provides a unified multi-timeframe VWAP deviation system that: - Calculates volume-weighted standard deviation (not simple price movements) - Simultaneously tracks deviation levels across daily, weekly, and monthly VWAPs - Offers dynamic volatility adjustment (ATR-based multiplier scaling) - Visualizes deviation zones with color-coded clouds (1σ-2σ, 2σ-3σ, 3σ+) - Integrates pivot detection, volume confirmation, and optional RSI filtering HOW IT WORKS The indicator calculates VWAP and standard deviation for each timeframe using volume-weighted statistics: 1. VWAP = Sum(Price × Volume) / Sum(Volume) for each period 2. Standard Deviation = √ 3. Creates ±1σ, ±2σ, and ±3σ bands around each VWAP 4. Tracks current price deviation in standard deviations from each VWAP Deviation levels: - Level 0: Within ±1σ (normal range) - Level 1: Between ±1σ and ±2σ (moderate deviation) - Level 2: Between ±2σ and ±3σ (significant deviation) - Level 3: Beyond ±3σ (extreme deviation) Optional dynamic multipliers adjust band width based on ATR volatility - wider bands in volatile markets, tighter in calm markets. HOW TO USE Basic Usage: - Enable desired VWAP timeframes (Daily/Weekly/Monthly) - Monitor the info table showing current deviation levels - Look for price reaching ±2σ or ±3σ zones (marked with ⚠️ and 🔥 icons) Visual Elements: - VWAP lines: Green (Daily), Purple (Weekly), White (Monthly) - Colored clouds: Show deviation zones (darker = more extreme) - Info table: Displays current deviation in standard deviations (σ) Trading Applications: Mean Reversion: Price reaching ±2σ/±3σ zones may indicate overextension. Look for reversal signals (pivot bounces, volume spikes) with VWAP as mean reversion target. Trend Analysis: Consistent price above/below VWAP with low deviation suggests trend strength. Extreme deviations may indicate trend exhaustion. Multi-Timeframe Confluence: Compare deviation levels across timeframes. Confluence of extremes on multiple VWAPs may indicate stronger setups. Signal System (Optional): Signals appear when price reaches extreme deviations (≥2σ) with optional confirmations: - Volume spike (1.5× average) - Pivot reversal (bounce off pivot low/high) - RSI filter (oversold/overbought) - Multi-VWAP confluence IMPORTANT: Signals are informational only. Always use proper risk management, stop losses, and confirm with your own analysis. Past performance does not guarantee future results. SETTINGS RECOMMENDATIONS Day Trading: Enable Daily VWAP, show ±1σ bands, use dynamic multipliers, enable pivot reversal. Swing Trading: Enable Daily + Weekly VWAPs, use confluence (2+ VWAPs), enable volume confirmation and RSI filter. Position Trading: Enable all three VWAPs, use confluence requirement, focus on ±2σ/±3σ zones, enable all filters. TECHNICAL DETAILS - VWAP resets at period start (midnight daily, Sunday weekly, 1st of month monthly) - Standard deviation uses volume-weighted statistics - Pivot detection: Configurable lookback (default 5 bars) - Volume analysis: Compares to SMA (default 20-period) - RSI: Standard 14-period calculation DISCLAIMER This indicator is a tool for analysis and should not be used as the sole basis for trading decisions. VWAP and standard deviation describe past price behavior. Market conditions change, and historical patterns may not repeat. No indicator can predict future movements with certainty. Always use proper risk management. Past performance does not guarantee future results. Educational purposes only.
Indicateur Pine Script®
par RickyTSpanish
ALGO X LIMITLESS//@version=6 indicator("ICT NY Midnight Open", "ICT NY", overlay=true, max_lines_count=500, max_bars_back=5000) // Heure New York nyHour = hour(time, "America/New_York") nyMinute = minute(time, "America/New_York") // Détection minuit NY isNYMidnight = (nyHour == 0 and nyMinute == 0) // Tracer une seule ligne par jour if isNYMidnight and not isNYMidnight line.new( bar_index, open, bar_index + 1, open, extend = extend.right, color = color.blue, width = 2 )
Indicateur Pine Script®
par blissfulAccoun8911
ChunkbrAI-NN INDIChunkbrAI-NN INDI: The Neural Network Odyssey A Native Pine Script Neural Network Research Engine Welcome to ChunkbrAI-NN 5.3. This is not a standard technical indicator; it is a proof-of-concept Artificial Intelligence engine built entirely from scratch within Pine Script. Neural Networks typically require iterating over massive datasets, a task that usually times out on TradingView. ChunkbrAI solves this by introducing a novel "Chunking Architecture"—a system that breaks history into digestible learning blocks and trains a Multilayer Perceptron (MLP) using a "Chunking" approach. It features a living ecosystem where neurons have "genes," grow mature, and adapt to market regimes using a highly sophisticated Context-Aware normalization engine. ----------------------------------------------------------- The Core Concept: "The Time Wheel" To bypass Pine Script's execution limits, this script does not train linearly from the beginning of time. Instead, it operates like a spinning wheel of experience. * The Chunk System: On every bar update, the engine reaches back into history (up to 5000 bars) and grabs random or sequential "Chunks" of data. It treats these chunks as isolated training samples. * Experience Replay: By constantly revisiting past market scenarios (Chunks), the network slowly converges its weights, learning to recognize patterns across different eras of price action. ----------------------------------------------------------- Architecture & Modules A. The Neural Core (MLP) At the heart is a raw neural network built with arrays: * Topology: A dense network with a customizable Hidden Layer (Default: 60 Neurons). * Timewarp (Stride): When enabled, the network uses "dilated" inputs (skipping bars, e.g., 1, 3, 5...). This increases the network's Field of View without increasing computational load. * Forecasting: The network outputs a standardized prediction which is then de-normalized to project the future price path on your chart. B. The Context System (The "Eyes") Raw prices confuse neural networks. A $1000 move in Bitcoin is massive in 2016 but noise in 2024. ChunkbrAI uses a relativistic Context System: * Regime Detection: It uses a Zero-Lag Moving Average (ZLMA) and Non-Linear Regression to measure the current market "Vibe" (Volatility & Trend). * Dynamic Normalization: The inputs are scaled based on this context. If the market is volatile, the data is compressed; if calm, it is expanded. This ensures the brain receives consistent signal patterns regardless of the absolute price. C. The Gene System (Neuro-Plasticity) This is the experimental "biology" layer. Neurons are not just static math; they have life cycles. * Maturity: Neurons start "Young" (highly plastic, high mutation rate). As they successfully reduce error, they become "Wise" (stable, low mutation). * Mutation: If a "Wise" neuron begins failing (high error), it is demoted and forced to mutate. This allows the brain to "forget" obsolete behaviors and adapt to new market paradigms automatically. * Profiles: You can initialize the brain with different personalities (e.g., Dreamer, Young Chaos, Zen Monk). D. The Brain Scheduler (Adaptive Learning) A static Learning Rate (LR) is inefficient. The Brain Scheduler acts as the heartbeat: * Panic vs. Flow: It monitors the derivative of the error. If the error spikes (Panic), the Scheduler slows down learning to prevent the model from exploding. If the error smooths out (Flow), it accelerates learning (Infinite LR Mode). ----------------------------------------------------------- Forecasting Modes The script provides two distinct ways to visualize the future: 1. Direct Projection (Green Line): The network takes the current window of price action and predicts the immediate next step. If Timewarp is active, it interpolates the result to draw a smooth curve. 2. Autoregression (Cyan Line): Available in "Auto" mode. The network feeds its *own* predictions back into itself as inputs to generate multi-step forecasts. * Wave Segmentation: The script intelligently guesses the current market cycle length and attempts to project that specific duration forward. ----------------------------------------------------------- Operation Manual The script has two distinct training loops: first, when you add it to a chart, Pine runs through the available historical bars once, and this initial history pass is the main training phase where the network iterates chunk-by-chunk using your configured chunk count/iterations (e.g., if chunk count is 3, it performs 3 chunk updates per step), but pushing chunk count, iterations, or model sizing too high can hit Pine’s execution limits; after that, once real-time candles start printing, the script can either keep training (weights continue updating) or freeze the weights and run inference only, producing predictions from the learned parameters, and if live training is enabled it can also simulate “bars-back” style training during live mode by iterating across prior bars as if doing another history pass—which again can run into limits if chunks/iterations/sizing are too heavy—so when changing parameters to evaluate behavior you change them carefully and individually, because multiple simultaneous increases make it hard to attribute effects and can more easily trigger those execution constraints. Weight Persistence (Save/Load): Pine Script can’t write files or persist weights directly, so ChunkbrAI uses a library-based workaround that’s honestly tricky and kind of a pain: you enable the weight-export alerts so the script emits the weights (W1/W2/biases etc.) as text, and those payloads are chunked as well; then, outside TradingView, I use a separate Python script to parse the alert emails, reconstruct and format the chunked weights properly, and generate the corresponding library code files; after that, the libraries have to be published/updated, and only then can the main script “restore” by reading the published lib constants on chart load, effectively starting with the pre-trained weights instead of relying purely on the fresh history-run training pass. I don’t recommend this process unless you really have to—it’s fragile and high-effort—but until TradingView implements some simple built-in data storage for scripts, it’s basically the only practical way to save and reload your models. ----------------------------------------------------------- Limitations & Notes * Calculation Limits: This script pushes Pine Script to its absolute edge. If you increase Chunk Size or Hidden Size too much, you WILL hit execution limits. Use the defaults as a baseline. * Non-Deterministic: Because the "Wheel" picks random chunks for training, two instances of this script might evolve slightly different brains unless you use the Restore Weights feature. * Experimental: This is a research tool designed to explore Neural Networks and Genetic Algorithms on the chart. Treat it as an educational engine, not financial advice. Credits: Concept and Engineering by funkybrown.
Indicateur Pine Script®
par funkybrown
Adaptive ML VWAP v1.0Overview Adaptive ML VWAP is a next-generation "Smart Indicator" that moves beyond static deviations (Standard Deviation). Instead of assuming market volatility is distributed normally (Bell Curve), this indicator uses a k-Nearest Neighbors (k-NN) machine learning engine to learn the specific volatility behavior of the asset you are trading. It answers the question: "When price extends away from VWAP, how far does it actually go before reversing?" The Adaptive ML Engine This script features a 5-Dimensional ML Engine that tracks every major extension or pullback event. It records: Deviation Depth (Normalized to ATR) Trend Slope (Is the trend steep or flat?) ADX (Trend Strength) VWAP Deviation (Relative Position) Time of Day (Session Context) When a new setup occurs, the k-NN engine instantly searches its memory for the 5 most similar historical events and calculates the probability of success based on what happened last time. Two Strategy Modes You can toggle the logic to suit your trading style: 1. Mean Reversion Mode (Default) "Fade The Move" Goal: Catch price at an exhaustion point returning to VWAP. Signal: Triggers when price touches a Smart Band and reverses back toward the center. k-NN Learning: Learns which conditions favor a snap-back. Best For: Ranging markets, Lunch hours, Choppy sessions. 2. Trend Following Mode "Ride The Move" Goal: Catch breakouts that are launching away from value. Signal: Triggers when price breaks out of the Inner Band (1.0). k-NN Learning: Learns which breakouts tend to extend to the Outer Bands. Best For: Morning Drives, News Events, Strong Trends. Visual Guide The indicator uses a Dynamic Gradient system to visualize risk/reward: Cyan Mist (0.5 - 1.0): The Value Zone. Noise area. Safe for trend entries. Deep Cyan (1.0 - 2.0): The Trend Zone. Price is moving proactively. Orange Glow (2.0 - 3.0): The Danger Zone. Price is statistically overextended. Reversals are highly probable here. "Fractal" Math Unlike standard indicators that break when you change timeframes, Adaptive ML VWAP uses Fractal Normalization. A "2.0 Band" on a 15-second chart means the same statistical extreme as a "2.0 Band" on a 4-hour chart. Auto-Adaptive Lookback: The indicator automatically boosts the ML memory (Lookback) on lower timeframes (seconds/minutes) where more noise requires larger sample sizes, ensuring robust predictions without manual tweaking. Settings Auto-Adapting Lookback: (Default: True) automatically increases Lookback to 100+ for seconds charts and 50+ for minute charts. Lookback (Events): Manual override base value (Default: 100). Strategy Mode: Toggle between Mean Reversion and Trend Following. k-Neighbors: The number of similar past events to structurally compare (Default: 5). Disclaimer: This tool is for educational purposes. Machine learning performance is dependent on market conditions and historical recursion.
Indicateur Pine Script®
par Selfsimilarity
Sniper Swing Clean v6 (mobile-safe) updated version Professional Description How to Use Sniper Swing — Clean v6 (Mobile-Safe) Purpose Sniper Swing — Clean v6 is a trend-aligned swing indicator designed to help traders identify high-probability entries and exits while minimizing noise. It works best in trending or gently rotating markets and is optimized for mobile charting. A. Chart Setup Recommended: Timeframes: 5m–1h for active trading, 4h–Daily for swing trading Instruments: Liquid equities, indices, and major ETFs The indicator plots: SMA 9 (entry trigger) EMA 20 (trend and momentum) Optional SMA 50 (higher-timeframe bias) B. Buy (Long) Signal — How to Act A BUY label appears when price reclaims short-term structure. How to trade it: Wait for price to cross above the SMA 9 Confirm EMA 20 is rising (and above SMA 50 if enabled) Optional: Confirm price is closing above EMA 20 Enter on: The close of the signal candle, or A minor pullback that holds above SMA 9 Best context: Higher lows EMA 20 sloping upward RSI not overbought C. Sell / Short Signal — How to Act The indicator offers two sell modes: 1) CrossUnder SMA 9 (Fast Exit) Use in strong trends or fast markets Exit longs or enter shorts when price loses SMA 9 2) AccuSell (Structure-Based) Use in choppy or topping markets Requires: Loss of SMA 9 plus Structural weakness (lower highs/lows, RSI < 50, or EMA 20 turning down) How to trade it: Exit longs when sell label appears Aggressive traders may enter short positions Conservative traders wait for follow-through D. RSI Arrows — Context Only OB arrows warn of potential exhaustion OS arrows suggest relief or bounce zones RSI does not trigger trades — it informs patience and risk E. Position Coloring & State Green candles = long bias Purple candles = short bias Background tint reinforces short exposure Coloring persists until the opposite signal prints This helps visually manage trades without staring at labels. F. Risk Management (User-Defined) The indicator does not manage stops or targets. Common approaches: Stop below recent swing low (longs) Stop above recent swing high (shorts) Scale partials near RSI OB/OS zones G. When Not to Use It Extremely low-volume chop News-driven spikes Range-bound micro consolidations 2. Explain It Like You’re 10 👶📈 Imagine the chart is a road, and the price is a car. 🟢 Green = Go When the car drives above the yellow line, that means it’s probably going up. The indicator says: “Okay, the car looks like it wants to go forward. You can hop in.” That’s a BUY. 🟣 Purple = Uh-Oh When the car falls below the yellow line, it might start going down. The indicator says: “Careful… the car is slowing down or turning around.” That’s a SELL. 🔵 Blue Line = Wind Direction The blue line shows which way the wind is blowing. If the wind blows up → going up is easier If the wind blows down → going down is easier You want to go with the wind, not fight it. 🔺 Red & Green Arrows = Too Fast / Too Slow Red arrow = “The car is going too fast, might need a break” Green arrow = “The car is tired, might bounce” They don’t tell you to go or stop — they just say “pay attention.” 🎨 Colors Help You Remember Green bars = you’re riding up Purple bars = you’re riding down Gray = nothing exciting happening 🚨 Important Rule This tool doesn’t drive the car for you. It just says: “Now might be a good time.” You still decide when to get in and when to get out.
Indicateur Pine Script®
par joblesshobo2
Monitor de GeisThis Pine Script indicator is a Confluence-Based Trading Dashboard designed to filter market noise and identify high-probability entries using a "Traffic Light" (Semáforo) system. Core Features: Triple Confirmation: It analyzes the Trend (EMA 50/200), Momentum (RSI context), and Market Structure (CHoCH/Change of Character) simultaneously. Dynamic Decision Table: A real-time dashboard that displays the current trend ("Erecting" vs. "Deflating") and a final verdict based on total confluence (0%, 50%, or 100%). Psychological Filters: It uses localized Chilean slang to provide direct, "no-nonsense" advice (e.g., "Don't be afraid, Buy" vs. "High risk, Stay out"). Clean Visuals: It eliminates signal saturation by only plotting a single entry dot on the chart the moment all conditions align.
Indicateur Pine Script®
par gonzalovillela
EMA Crossover Arrows (6 EMA & 20 EMA)EMA Crossover Arrows (6 EMA & 20 EMA) - Quick Signal Detector 📊 OVERVIEW A simple yet powerful indicator that automatically marks exact moments when the 6 EMA crosses the 20 EMA - giving you clear visual signals for potential trend changes without any chart clutter. 🎯 WHAT IT SHOWS Two precise crossover signals: - Blue Triangle Up (↑): 6 EMA crosses ABOVE 20 EMA (Bullish signal) - Pink Triangle Down (↓): 6 EMA crosses BELOW 20 EMA (Bearish signal) ✨ KEY FEATURES ✓ Clean arrow markers appear only at crossover moments ✓ No lag - signals appear in real-time as crossovers occur ✓ Works on ANY timeframe (1min, 5min, 1H, daily, etc.) ✓ Non-intrusive - arrows don't clutter your chart ✓ Perfect for swing trading and trend following ✓ Zero configuration required ⚙️ TECHNICAL DETAILS - 6 EMA: Fast-moving average for quick trend detection - 20 EMA: Slower average providing trend confirmation - Crossover detection uses Pine Script's built-in ta.crossover/crossunder functions - No repainting - signals are final once the bar closes
Indicateur Pine Script®
par jhor_10
Daily Bias Panel (with MTF Toggle)Daily Bias Panel Documentation Overview The Daily Bias Panel is a TradingView indicator designed to provide a structured, multi factor assessment of market direction for intraday and swing traders. It consolidates several key bias components—Prior Day levels, VWAP, Overnight High/Low, Multi Timeframe Market Structure, and an Overall Bias—into a clean, compact table. A confidence meter summarizes the combined strength of all signals. This document explains each line item, the rules behind it, and how to interpret the panel. 1. Prior Day Bias Definition Compares the current price to the previous day’s high and low. Rules • Bullish (1): Close > Prior Day High • Bearish (-1): Close < Prior Day Low • Neutral (0): Price is between the prior high and low Interpretation This bias reflects whether the market is breaking out above or below the previous day’s range. It is a foundational directional signal. 2. VWAP Bias Definition Measures whether price is trading above or below the Volume Weighted Average Price. Rules • Bullish (1): Close > VWAP • Bearish (-1): Close < VWAP • Neutral (0): Price is at VWAP Interpretation VWAP is a widely used institutional benchmark. Trading above VWAP suggests buyers are in control; below VWAP suggests sellers dominate. 3. ONH / ONL Bias (Overnight High / Low) Definition Tracks the overnight session’s high and low (18:00–09:30 ET) and compares current price to those levels. Rules • Bullish (1): Close > Overnight High • Bearish (-1): Close < Overnight Low • Neutral (0): Price is inside the overnight range Interpretation ONH/ONL is extremely important for index futures (ES/NQ). Breaking ONH/ONL often signals strong directional intent at the RTH open. 4. Struct MTF (Market Structure Bias) Definition A weighted blend of market structure trends across multiple timeframes. Modes Swing Mode • 4H (50%) • 1H (30%) • 15M (20%) Intraday Mode • 1H (40%) • 15M (35%) • 5M (25%) Rules Each timeframe is classified as: • Bullish (1): Higher High + Higher Low • Bearish (-1): Lower High + Lower Low • Neutral (0): No clear structure The weighted average produces a final structure score. Interpretation This is your trend engine. It smooths noise and provides a stable directional backbone. 5. Overall Bias Definition A strict agreement filter between Prior Day Bias and VWAP Bias. Rules • Bullish (1): Both Prior Day and VWAP are bullish • Bearish (-1): Both are bearish • Neutral (0): Any disagreement Interpretation This prevents false positives by requiring alignment between two major bias components. 6. Confidence Score Definition A weighted blend of all bias components: • Prior Day (25%) • VWAP (25%) • ONH/ONL (20%) • MTF Structure (30%) Output A normalized score between -1.00 and +1.00. Interpretation • +1.00: Strong bullish alignment across all systems • -1.00: Strong bearish alignment • 0.00: Mixed or unclear conditions 7. Confidence Meter (10 Square Visual) Definition A visual representation of the confidence score. Rules • 0–10 squares filled based on absolute confidence • Color reflects direction (green/red/yellow) Interpretation A quick glance gauge of trend strength. 8. Debug Mode (Optional) Purpose Displays all underlying levels and bias markers directly on the chart. Includes • Prior High / Low • VWAP • ONH / ONL • Confidence Score line • Bias markers (P, V, O, M) Use Case Great for verifying logic, backtesting visually, and understanding how each component behaves. 9. Panel Layout & Spacing Top Left Spacer System When the panel is placed in the top left corner, a 3 row spacer pushes it below the chart header and indicator dropdown. Panel Size Options • Small • Medium • Large These adjust font sizes and meter padding. ______________________________________________________________________________ Summary The Daily Bias Panel is a compact, multi factor decision tool that blends: • Prior Day context • VWAP positioning • Overnight session dynamics • Multi timeframe trend structure • A strict overall bias filter • A confidence scoring engine Together, these components give traders a clear, structured view of market direction and strength. This documentation should serve as a complete reference for understanding, using, and publishing the indicator.
Indicateur Pine Script®
par WaveWalker1
EMA RSI Premium CleanEMA + RSI • Premium Clean is a minimalist trend-following and momentum confirmation tool designed for traders who prefer clarity over clutter. This indicator combines: Exponential Moving Averages (EMA) to define the dominant market trend Relative Strength Index (RSI) to time pullbacks and momentum exhaustion The goal is not to predict the market, but to trade in harmony with the trend and avoid low-probability entries. 🔍 How It Works 🔹 Trend Identification (EMA) The Fast EMA reacts quickly to price changes The Slow EMA represents the broader trend When the fast EMA is above the slow EMA, bullish market bias is present When the fast EMA is below the slow EMA, bearish market bias is present 🔹 Entry Context (RSI) RSI helps identify healthy pullbacks within a trend In bullish trends, RSI pullbacks indicate potential continuation zones In bearish trends, RSI rebounds highlight possible continuation to the downside Signals appear only when trend and momentum align, reducing random trades. 🎯 Best Use Case Trend-following strategies Pullback entries Avoiding counter-trend trades Intraday & swing trading ⏱ Recommended Markets & Timeframes Markets: Gold (XAUUSD), Forex, Crypto Timeframes: M15, M30, H1, H4 ⚠️ Important Notes This indicator does not repaint Signals are context-based, not guaranteed trades Best results are achieved when combined with: Market structure Support & resistance Proper risk management ✨ Visual Design Clean and modern color palette Minimal arrows to avoid chart clutter RSI displayed separately for clear momentum analysis Optimized for both dark and light chart themes 🧠 Trading Philosophy Trade the trend. Use momentum for timing. Keep the chart clean.
Indicateur Pine Script®
par XAU_CAPITAL
Intraday Session BehaviorThis indicator was built to study how price behaves throughout the trading day, from pre-London session to the New York close. The goal was simple: identify recurring intraday tendencies, reversals, and consolidation phases based on time, not indicators. I created this script to visually segment key intraday windows and then ran 100 manual backtests to observe where price most frequently shifts direction or changes behavior. Key observation: Across multiple samples, 8:00 AM NY time showed the highest frequency of reversals, often aligning with positioning ahead of the New York open. This tool is not a signal generator. It’s designed for context, study, and confluence — especially for traders focused on session-based trading, liquidity behavior, and intraday structure. Use it as a framework to: Study session transitions Refine time-based playbooks Combine with your own strategy, structure, and risk management Built the old-school way: observe, test, repeat.
Indicateur Pine Script®
par FunkyTown_Bytes
Supertrend & ATR Trailing Stop by EVSupertrend / ATR Trailing Stop is a beginner-friendly trend and risk tool designed to keep charts clean while making direction and trailing levels obvious. It includes two trailing modes in one script: a classic Supertrend built from ATR bands, and an optional Chandelier-style trailing stop using a configurable lookback. The indicator highlights bullish and bearish regimes, plots a clear trailing stop line, and can show simple trend-flip signals when direction changes. For a minimal look, you can enable “Only Show Current Level” to display just the active trailing level without historical clutter. Alerts are included for trend flips so you can automate notifications and catch reversals or continuation shifts in real time.
Indicateur Pine Script®
par EVLabs
covenant 1Covenant 1 — Liquidity-Based Trade Boxes Covenant 1 is a private trading indicator designed to visualize Entry, Stop Loss, and Take Profit zones directly on the chart. Key features • Automatic Entry / SL / TP boxes • Boxes dynamically extend as the trade remains active • Full historical trade visualization • Clean, non-repainting logic • Designed for discretionary trading and visual guidance Notes • This indicator is for educational and analytical purposes only • It does not execute trades • No financial advice is provided
Indicateur Pine Script®
par petroukyris410
ALT FINAL ABCD PRO V62. Key Improvements and Performance Optimization of Version v6 Faster Large-Scale Computation: The v6 engine processes large-scale computations more quickly and minimizes delays that occur when pulling Bitcoin and dominance data simultaneously. Enhanced Repainting: By using the f_secure_data function to check Bitcoin trends, I eliminated 'future reference errors' at the source, ensuring that backtest returns match actual trading results. Automation of Risk-Reward (R:R): Utilizing ATR multiples, I configured the stop loss to be short (0.8x) and the take profit to be long (1.5x), allowing for automatic responses to the volatility of altcoins. 3. Supplementary Guide for Trading Altcoins Meaning of VWAP Sweep: In the crypto market, when the price briefly dips below the VWAP and then recovers, it is interpreted as a signal that institutions are absorbing the stop-loss volumes of retail investors. This indicator captures that moment and helps traders enter at the most favorable price level. Utilizing the Dominance Filter: An altcoin buying signal occurs only when Bitcoin's dominance is below the moving average. This mechanism ensures trading only in 'tailwind' situations where the flow of funds is directed towards altcoins. Time Zone Focus: The U.S. session (22:30–01:30), marked in orange, is when global liquidity is at its highest. Outside of this time frame, the reliability of patterns decreases, so it is recommended to refrain from trading as much as possible.
Stratégie Pine Script®
par minovsajh
Neeson RSI Divergence DetectorIntegrating Multi-Indicator Strategies: A Rational Approach to Technical Analysis Tools Introduction The integration of multiple technical indicators into a unified trading script represents a sophisticated approach to market analysis, combining complementary analytical methods to enhance decision-making. This article outlines the rational basis for combining specific indicators, explains their synergistic operation, and provides practical guidance for users seeking to understand the functional utility, operational mechanics, and unique value proposition of integrated technical analysis tools. Functional Purpose and Rational Integration Basis Integrated technical scripts are designed to address the inherent limitations of single-indicator analysis by combining multiple analytical perspectives. The rational basis for integration typically follows these principles: Complementary Signal Validation: Different indicators measure distinct market characteristics (momentum, volatility, trend strength, etc.). Their combination allows cross-validation of signals, reducing false positives inherent in single-indicator systems. Multi-Timeframe Confirmation: Integrated scripts often incorporate elements that analyze price action across different temporal dimensions, providing a more comprehensive market perspective. Risk Management Enhancement: By combining overbought/oversold indicators with trend confirmation tools, these scripts help identify not only entry opportunities but also potential risk zones. Market Phase Adaptation: Different market conditions (trending, ranging, volatile) favor different indicator types. Integrated approaches maintain relevance across varying market environments. Synergistic Operational Mechanism The components of well-designed integrated scripts operate through several synergistic mechanisms: Primary Trend Identification: Core trend-following indicators establish the dominant market direction, serving as a filter for other signals. This prevents counter-trend entries that might otherwise be generated by oscillators or momentum indicators. Momentum Confirmation: Oscillator-based components (like RSI or Stochastic) validate the strength of the identified trend, distinguishing between healthy retracements and potential reversals. Divergence Detection: By comparing price action with momentum indicators, these scripts identify subtle shifts in market dynamics that often precede trend changes. Volatility Adjustment: Volatility-based components dynamically adjust signal thresholds and position sizing recommendations based on current market conditions. Multi-Layer Filtering: Each signal passes through successive validation layers, with only the strongest, most confirmed signals triggering alerts or visual markers. Practical Application Guidance Users can maximize the utility of integrated scripts through these practical approaches: Parameter Customization: Adjust indicator periods and thresholds to match the characteristics of specific trading instruments and timeframes. Historical testing can identify optimal settings for particular markets. Signal Hierarchy Interpretation: Learn to distinguish between primary signals (strongly confirmed across multiple indicators) and secondary signals (weaker confirmation) for appropriate position sizing. Contextual Analysis: Consider integrated signals within the broader market context, including support/resistance levels, volume patterns, and fundamental developments. Performance Correlation: Monitor how different market conditions affect script performance. Some configurations may excel in trending markets while others perform better in ranging conditions. Risk Calibration: Use the multi-indicator confirmation to calibrate stop-loss and take-profit levels, with tighter parameters for strongly confirmed signals and wider parameters for weaker ones. Originality and Value Proposition The originality of well-designed integrated scripts manifests in several dimensions: Unique Combination Logic: The specific selection and weighting of indicators, along with their integration methodology, represents intellectual value distinct from simple indicator stacking. Innovative Signal Processing: Advanced scripts often incorporate proprietary algorithms for signal filtering, noise reduction, or probability weighting not found in standard indicators. Adaptive Framework: Some scripts dynamically adjust their analytical approach based on changing market conditions, representing a form of artificial market intelligence. Visualization Innovation: The presentation of complex multi-indicator data in an intuitive, actionable format constitutes significant user interface originality. Empirical Limitations and Responsible Use It is crucial to maintain realistic expectations regarding integrated technical scripts: No Predictive Certainty: These tools analyze probabilities, not certainties. No combination of historical price indicators can guarantee future price movements. Market Efficiency Limitations: All technical analysis operates within the constraints of market efficiency, with script effectiveness varying across different market conditions and time periods. Complementary Role: Integrated scripts should complement, not replace, comprehensive trading strategies including risk management, fundamental analysis, and market knowledge. Continuous Evaluation: Regular performance assessment against established benchmarks helps maintain realistic expectations and identifies when script adjustments may be necessary. Conclusion The thoughtful integration of multiple technical indicators represents a logical evolution in analytical methodology, addressing the limitations of single-indicator approaches through complementary validation and multi-dimensional analysis. By understanding the rational basis for integration, the synergistic operation of components, and the practical application parameters, users can employ these tools as valuable components within broader, disciplined trading approaches. The true value emerges not from predictive accuracy but from structured decision support that helps traders navigate complex market environments with greater consistency and insight.
Indicateur Pine Script®
par neeson1987
Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning Introduction The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application. Rationale for Multi-Indicator Integration Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where: Ultra-long-term EMAs establish the primary trend context Medium-term EMA crossovers identify trend transitions Multiple MACD configurations detect momentum shifts across different time horizons This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements. Component Synergy and Operational Mechanism 1. EMA Framework: The Trend Foundation 700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets. 18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion. 12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries. 12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections. 2. MACD Ensemble: Momentum Verification Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms. Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag. Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks. Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation. 3. Signal Hierarchy and Progressive Confirmation The indicator employs a cascading confirmation logic: Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation. Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration. Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals. Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal. Practical Application and Interpretation Signal Classification System Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors. Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points. Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections. Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals. Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning. Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation. Usage Guidelines Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident. Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation. Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations. Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors. Limitations and Considerations No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns. Extraordinary market events or fundamental shifts may override technical signals. The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions. Signals should be interpreted in context of overall market structure and trader/investor time horizon. Originality and Differentiation This system represents a novel synthesis of established technical concepts through: Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration. Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions. Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals. Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts. Empirical Foundation The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly: The tendency for major bottoms to form during extended periods below long-term moving averages Characteristic momentum patterns preceding significant tops The predictive value of specific EMA relationships during different market phases Historical performance of multi-timeframe confirmation versus single indicators Conclusion The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
Indicateur Pine Script®
par neeson1987
bitcoin Multi-Timeframe Trend Analysis Toolbitcoin Multi-Timeframe Trend Analysis Tool: A Comprehensive Guide for Market Cycle Identification Introduction The Multi-Timeframe Trend Analysis Tool is a sophisticated technical indicator designed to help traders identify critical market phases across different time horizons. This tool synthesizes multiple established technical analysis concepts into a unified framework, specifically optimized for high-volatility markets such as cryptocurrencies and alternative coins (altcoins). By integrating trend-following, momentum, and mean-reversion principles, it provides visual cues for strategic entry and exit points throughout market cycles. Core Philosophy and Integration Rationale The indicator's design philosophy centers on the principle that different market phases require different analytical approaches. Rather than relying on a single indicator, which often produces false signals during complex market conditions, this tool combines multiple technical components that complement each other's strengths and compensate for individual weaknesses. The integration follows a logical hierarchy: Trend Identification through multiple EMA periods establishes the market's primary direction Momentum Confirmation via multiple MACD configurations validates trend strength and potential reversals Multi-timeframe Alignment ensures signals are significant across both short-term and long-term perspectives This layered approach reduces the likelihood of whipsaws and increases the statistical significance of generated signals. Component Synergy and Operational Mechanics 1. EMA System: The Trend Foundation The tool employs six Exponential Moving Averages organized into two groups: Long-term EMA Group (200, 300, 700 periods): The 200-period EMA serves as the primary trend baseline The 300-period EMA provides confirmation of the longer-term direction The 700-period EMA represents the "macro trend" and helps identify major cycle shifts Medium-term EMA Group (18, 36, 63 periods): These shorter EMAs capture intermediate trend dynamics The relationship between these EMAs helps identify acceleration or deceleration in trend momentum The EMA system works by comparing relationships between different period lengths. For instance, when shorter EMAs are positioned below longer EMAs, it confirms a bearish trend structure, while the opposite configuration suggests bullish momentum. 2. Multi-Period MACD System: Momentum and Divergence Detection The tool implements three separate MACD configurations, each serving a distinct purpose: Bottom MACD (168/364/6 periods): Designed to capture long-term momentum shifts at potential market bottoms The extended periods (168 and 364) filter out short-term noise while highlighting significant trend changes Particularly effective at identifying oversold conditions during prolonged downtrends Top MACD (108/234/9 periods): Optimized for detecting momentum deterioration at potential market tops The period selection is based on historical analysis of bull market cycles Helps identify when bullish momentum is weakening before price action clearly reverses Local Top MACD (9/36/9 periods): Functions as an early warning system for short-term corrections Particularly useful for swing traders and risk management Can help identify profit-taking opportunities during ongoing trends The three MACDs operate independently but collectively provide a comprehensive view of momentum across different time horizons. When multiple MACDs simultaneously show confirming signals, the reliability of the indication increases significantly. 3. Signal Generation Logic: Conditional Framework Signals are generated only when multiple conditions align across different components: Accumulation Zone Conditions: Requires both trend alignment (200 EMA below 300 EMA) AND either: Price trading at a significant discount to the 200 EMA (suggesting oversold conditions), OR The 200 EMA itself declining sharply (confirming bearish momentum exhaustion) This dual requirement prevents false accumulation signals during healthy downtrends Strong Buy Zone Conditions: Includes all accumulation zone requirements PLUS: Sharp decline in the 36-period EMA (suggesting panic or capitulation) Accelerated decline in the 200 EMA (confirming bearish exhaustion) This represents a higher-conviction signal with multiple confirming factors Potential Bull Market Top Conditions: Requires the 700 EMA to be rising sharply (confirming extended bullish trend) AND Top MACD showing bearish divergence (momentum weakening) AND Short-term EMA alignment still bullish (indicating the top is forming amid strength) This combination helps distinguish between minor corrections and major trend reversals Local Top Warning Conditions: Triggered when the 700 EMA shows accelerated gains (potential euphoria phase) AND The Local Top MACD shows bearish momentum divergence Serves as a risk management tool rather than a direct reversal signal Practical Application and Usage Guidelines For Long-Term Investors: Monitor for "Accumulation Zone" signals during market downturns Consider initiating or adding to positions during "Strong Buy Zone" signals Use these signals for dollar-cost averaging strategies rather than timing exact bottoms Hold through intermediate fluctuations unless "Potential Bull Market Top" signals appear For Trend Traders: Use EMA alignments to confirm trend direction before entering positions Employ "Local Top Warnings" to secure profits on portions of positions Watch for alignment between medium-term EMA direction and MACD signals for entry timing Consider "Potential Bull Market Top" signals as reasons to reduce exposure or implement hedging strategies For Risk Managers: Use "Local Top Warnings" to tighten stop-losses or reduce position sizes Monitor the relationship between price and the 200 EMA for overall market health assessment Track multiple timeframes to distinguish between normal volatility and potential trend changes Originality and Distinctive Features This tool represents a novel synthesis of existing technical concepts rather than a completely new indicator. Its originality stems from: Purpose-Specific MACD Configurations: Unlike standard MACD implementations, each of the three MACDs is optimized for a specific market condition, with period lengths derived from empirical analysis of market cycles. Multi-Layered Confirmation Framework: Signals require alignment across trend, momentum, and rate-of-change dimensions, reducing false positives common in single-indicator systems. Progressive Signal Hierarchy: The tool distinguishes between initial warning signals ("Local Top Warnings") and higher-conviction reversal signals ("Potential Bull Market Tops"), allowing for graduated responses. Combination of Absolute and Relative Conditions: The logic incorporates both absolute price relationships (price vs. EMA levels) and rate-of-change metrics (EMA acceleration/deceleration), capturing both state and momentum information. Limitations and Considerations Lagging Nature: Like all trend-following indicators, this tool reacts to established conditions rather than predicting future movements. Early trend phases may not generate signals. Parameter Sensitivity: The default parameters are optimized for daily cryptocurrency charts. Performance may vary across different asset classes or timeframes. Complementary Analysis Required: This tool should be used alongside fundamental analysis, volume confirmation, and market structure considerations. No Guarantee of Performance: Past success in identifying market phases does not ensure future accuracy. All trading involves risk, and no indicator provides certainty. Conclusion The Multi-Timeframe Trend Analysis Tool provides a structured approach to identifying significant market phases by integrating trend, momentum, and mean-reversion concepts across multiple time horizons. Its value lies not in predicting exact turning points but in identifying zones of increasing probability for trend changes, allowing traders to adjust their strategies accordingly. When used as part of a comprehensive trading plan with proper risk management, it can help traders navigate complex market environments with greater clarity and discipline. The tool is particularly suited to the extended trends and pronounced cycles characteristic of cryptocurrency markets, though its principles apply across various financial instruments. As with all technical tools, its effectiveness increases with user understanding of both its mechanisms and its limitations.
Indicateur Pine Script®
par neeson1987