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Omega ATR Indicator📖 Introduction The Ω ATR Indicator was created to provide a more complete and professional framework for volatility analysis than the classic Average True Range (ATR). While the traditional ATR is a useful tool, it has limitations: it delivers a simple rolling average of volatility, but it does not adapt to market regimes, it does not highlight extreme events, and it often leaves the trader with incomplete information about risk. The Ω ATR takes the same foundation and elevates it into a multi-dimensional volatility dashboard, adding statistical layers, adaptive calculations, and clear visual references that allow traders to interpret volatility in a way that is immediately actionable. 🔎 What makes it different from a standard ATR? This indicator introduces several features beyond the classic formula: True Range Core – plots the raw True Range (TR) for each bar, providing a direct, bar-by-bar view of volatility impulses. Standard & Adjusted ATR – includes both the conventional ATR (smoothed average) and an Adjusted ATR that automatically corrects for extreme conditions by incorporating percentile rescaling. Percentile Volatility Levels – dynamically calculated extreme thresholds (99.8%, 75%, 50%, 25%), plotted as dotted levels across the chart. These act as reference lines for “normal” vs. “abnormal” volatility, useful for spotting unusual price expansions or contractions. Linear Regression Volatility Trend – overlays a regression line of volatility, showing whether the market is moving toward expansion (rising vol), contraction (falling vol), or stability. Monetary Value Translation – the indicator converts volatility into points, ticks, and dollar values (based on the instrument’s point value). This allows futures traders and high-value instruments users to immediately see how much volatility is “worth” in cash terms. Interactive Table Display – a real-time statistics table is displayed directly on the chart, showing: SMA of ATR in $ and points Percentile-based volatility range (VAR) in $ and points Tick equivalences, for quick position sizing ⚡ How traders can use it The Ω ATR Indicator is designed to be versatile, fitting both discretionary traders and systematic strategy developers. Risk Management: ATR-based stop losses and position sizing are significantly improved by using the adjusted ATR and percentile thresholds. Traders can size their positions according to volatility regimes, not just raw averages. Breakout & Exhaustion Detection: When TR or ATR values spike above the 99.8% or 95% percentile levels, this often corresponds to breakout conditions or volatility exhaustion — useful for breakout strategies, mean-reversion setups, and volatility fades. Market Regime Identification: The regression line helps distinguish if volatility is rising (trending environment, larger swings expected) or compressing (range-bound environment, lower risk opportunities). Multi-Asset Flexibility: Works equally well on equities, futures, crypto, and FX. Its point/tick/dollar conversion makes it especially powerful for futures traders who need to quantify risk precisely. Scalping to Swing Trading: On lower timeframes, it acts as a micro-volatility detector; on higher timeframes, it functions as a strategic risk gauge for position management. ⚙️ Settings and Customization Length: The ATR lookback period (default = 34). Shorter lengths (14–21) for intraday traders who want fast response. Longer lengths (34–55) for swing/position traders who want smoother readings. AVG / ADJ AVG: Toggle to display the standard ATR or the adjusted ATR. Volatility Levels: Enable/disable up to 4 percentile-based levels (1st = 25%, 2nd = 50%, 3rd = 75%, 4th = 99.8%). Recommended: keep 3 levels active for clarity. Color Controls: All plots and levels are fully customizable to match your chart style. Table Display: Positioned on the chart (default: middle-right) with key values updated in real time. 🧭 Best Practices for Use Combine with Trend Tools: Volatility readings are most powerful when combined with trend filters or volume analysis. For example, a breakout with both high volatility and trend confirmation is stronger than either alone. ATR Stops: Use the Adjusted ATR rather than the standard one when trailing stops in highly volatile instruments like crypto or Nasdaq futures, as it adapts to outlier spikes. Dollar Risk Translation: Use the dollar-value outputs to predefine maximum acceptable risk per trade (e.g., “I only risk $250 per position”). This bridges volatility to portfolio risk management. Event Monitoring: Around economic events or earnings, expect volatility spikes above higher percentile levels. The indicator makes these moves instantly visible. 📌 Summary The Ω ATR Indicator is not just “another ATR.” It is a comprehensive volatility framework that transforms volatility from a simple statistic into an actionable trading signal. By combining: the classic ATR, an adjusted ATR, percentile extremes, regression-based volatility trends, and real-time dollar conversions, …this tool allows traders to precisely understand, visualize, and act on volatility in ways that a standard ATR simply cannot provide. Whether you are scalping intraday moves, swing trading equities, or managing futures positions, the Ω ATR equips you with a professional-grade volatility dashboard that clarifies risk, highlights opportunity, and adapts across all markets and timeframes. 👉 Designed and developed by OmegaTools for traders who demand precision, clarity, and adaptability in their volatility analysis.
Pine Script® indicator
by OmegaTools
Nasdaq Liquidity Sweep Scalper Signals- FREE (Only Sells)📌 Nasdaq Liquidity Sweep Scalper Signals – FREE (Sell Only) The Nasdaq Liquidity Scalper – FREE (Sell Only) is a free version designed for traders who want to spot high-probability short opportunities on the Nasdaq using the 1-minute chart. 🔴 Key Features (FREE) Detects liquidity sweeps above the previous day’s high. Confirms with a validated bearish impulse (strong body + significant upper wick). Works only on closed candles → no repainting. Clear chart signals with SELL labels in red. ⚠️ FREE Version Limitations Only available for sell signals. Works exclusively on the 1-minute timeframe. Does not include Stop Loss (SL), Take Profit (TP), or automatic alerts. | Feature | FREE ❌ | PREMIUM ✅ | | -------------------------- | ------ | --------- | | **Sell signals** | ✔️ | ✔️ | | **Buy signals** | ❌ | ✔️ | | Automatic Stop Loss (SL) | ❌ | ✔️ | | Automatic Take Profit (TP) | ❌ | ✔️ | | TradingView Alerts | ❌ | ✔️ | | Works on **1m** only | ✔️ | ✔️ | | Works on **1m & 5m** | ❌ | ✔️ | 📲 Contact & Community For more information or to get access to the Premium version, contact me here: 🔗 Telegram: t.me/NasdaqIndicatorSignals 📸 Instagram: simio_trader365 ✖️ X (Twitter): LuisAngelCC365
Pine Script® indicator
by cauichluis365
FOMTRADE - Combo(RU)FOMTRADE - Combo объединяет SuperTrend AI с автонастройкой, Breakout Probability и Regression Channel. Индикатор показывает смены тренда, вероятности пробоя ближайших high/low и коридор цены (Q1/Q3/High/Low). Модули включаются по клику, есть алерты и мини‑дашборд; подходит от скальпинга до свинга, адаптируется под ТФ. Не является финансовым советом (EN)FOMTRADE - Combo combines an auto‑tuned SuperTrend AI, a Breakout Probability panel, and a Regression Channel. It highlights trend flips, breakout odds around recent highs/lows, and a clear price corridor (Q1/Q3/High/Low). Toggle modules on/off, use alerts and the mini dashboard—built for scalping to swing and adaptive to your timeframe. Not financial advice
Pine Script® indicator
by AlexeyFominov
1
AlphaRank - Relative Strength Portfolio StrategyALPHARANK | Relative Strength Portfolio Strategy RSPS gives you a systematic, rules-based way to always be in the strongest assets while avoiding the weakest. What it does RSPS is a multi-asset ranking engine that compares up to 10 assets against each other using pairwise ratios. Each asset earns a Final Score based on how it performs relative to the rest. The strategy automatically selects the top 2 winners. Winners are equal-weighted into a portfolio and compounded over time. Metrics integration (equity curve, Sharpe, win rate, drawdown, profit factors, and more). This is designed for traders who want to go beyond single-chart indicators and run a systematic rotation model that stays in the strongest markets. Key Features ✅ Rank up to 10 custom assets. ✅ Equal-weight allocation + compounding equity curve. ✅ Date range filter for clean backtesting. ✅ Built-in Metrics table & performance curves. ✅ Non-repainting Example Use Crypto: Rank BTC, ETH, SOL, XRP, BNB, SUI, HYPE, TRX, LINK, DOGE and rotate into the 2 strongest. How to Use Add ALPHARANK to your chart (Invite-Only access). Enter up to 10 tickers you want to compare. Decide how many winners to hold. Run a backtest, review Metrics, and adjust your rotation logic. Notes & Disclaimer RSPS is a tool, not financial advice. Always test different timeframes and assets before trading live. Performance depends on the assets you input and your timeframe.
Pine Script® indicator
by AlphaEdge_
MACD DIVERGENCE MACD DIVERGENCE is a momentum oscillator that combines the power of multi-timeframe (MTF) MACD with a regular divergence engine (bullish/bearish) and bias-shift alerts, providing a professional, actionable read of the impulse–correction cycle. 📈🧭 Key Benefits ✅ Selectable MTF MACD: compute MACD from 1m…W or use the chart’s timeframe to align entries with the higher-timeframe bias. Intelligent visual read: histogram and line colors adapt to reflect inertia and pace changes (acceleration/deceleration). Robust regular divergences: detects bullish/bearish by comparing oscillator pivots vs. price extremes within configurable search ranges (helps avoid false positives from pivots too far apart or too close). Ready-to-trade alerts: Strong Buy: histogram crosses > 0 (bullish bias). Strong Sell: histogram crosses < 0 (bearish bias). 🔔 Versatile by design: works on crypto, indices, forex, commodities; from intraday to swing. Recommended Workflow ⚙️ Bias (MTF): choose the MACD timeframe to inherit context (e.g., trade 15m using a 1h MACD). Trigger: prioritize zero-line crosses accompanied by regular divergences (confluence). Management: apply your risk plan (position size, SL/TP) and use alerts to synchronize execution. Core Parameters 🔧 MACD Timeframe (MTF): “same as chart” or manual selection (1, 5, 15, 30, 60, 240, D, W). MACD Lengths: fast/slow/signal (defaults 12/26/9). Divergences: enable bullish/bearish, set pivot left/right, and min/max search range to control sensitivity. Best Practices 🛡️ Match pivot windows and range to the asset’s structure and volatility. Don’t rely on a single condition; seek confluence (MTF + zero-cross + divergence). Run backtests/forward tests and document results before scaling up. Compatibility 🌐 Works on any asset and timeframe supported by TradingView; plotted in a separate panel (overlay=false) to keep the main chart clean. Disclaimer ⚠️ This product is not financial advice and does not guarantee results. Performance depends on the asset, market conditions, chosen configuration, and the user’s risk management. Trade responsibly.
Pine Script® indicator
by ETERNYWORLD
BTCUSD Dual Thrust (1H)BTCUSD Dual Thrust (1H) — Indicator Overview The Dual Thrust is a classic breakout-type strategy designed to capture strong directional moves when markets show imbalance between buyers and sellers. This indicator adapts the method specifically for BTCUSD on the 1-Hour timeframe, showing dynamic Buy/Sell trigger levels and live signals. Origin The Dual Thrust system was originally introduced by Michael Vitucci and has been widely used in futures and high-volatility markets. It was designed as a day-trading breakout framework, where daily high/low and close data define the range for the next session’s trade triggers. How it Works Each new day, the indicator calculates a “breakout range” using daily price data. Two trigger levels are projected from the daily open: Buy Trigger: Open + Range × KUp Sell Trigger: Open - Range × KDn Range can be built from either: Classic Dual Thrust formula: max(High - Close , Close - Low) over a lookback period, or ATR-based range: for volatility-adaptive signals. A LONG signal fires when price crosses above the Buy Trigger. An EXIT signal fires when price crosses below the Sell Trigger. Buy/Sell lines step forward across each intraday bar until recalculated at the next daily open. Practical Use Optimized for BTCUSD 1-Hour charts (crypto’s volatility provides stronger follow-through). Use the Buy/Sell levels as dynamic breakout lines or as confluence with your own setups. Alerts are built in, so you can receive notifications when a LONG or EXIT condition triggers. Designed as an indicator only (not a backtest strategy). Key Features ✅ Daily Buy/Sell trigger lines auto-calculated and forward-filled ✅ LONG / EXIT labels on signals ✅ Optional ATR mode for volatility regimes ✅ Optional bar coloring for easy visual scanning ✅ Alerts ready for live monitoring ⚡️ Tip: While this indicator highlights breakout opportunities, effectiveness can improve when combined with trend filters (e.g., 200-SMA) or when aligned with higher timeframe supply/demand zones.
Pine Script® indicator
by Loganscottfx
SPPO - Statistical Price Position OscillatorSPPO - Statistical Price Position Oscillator - Time-Weighted Based on a time-weighted statistical model, this indicator quantifies price deviation from its recent mean. It uses a Z-Score to normalize price position and calculates the statistical probability of its occurrence, helping traders identify over-extended market conditions and mean-reversion opportunities with greater sensitivity. - Time-Weighted Model: Reacts more quickly to recent price changes by using a Weighted Moving Average (WMA) and a weighted standard deviation. - Statistical Foundation: Utilizes Z-Score standardization and a probability calculation to provide an objective measure of risk and price extremity. - Dynamic Adaptation: Automatically adjusts its calculation period and sensitivity based on market volatility, making it versatile across different market conditions. - Intelligent Visuals: Dynamic line thickness and gradient color-coding intuitively display the intensity of price deviations. - Multi-Dimensional Analysis: Combines the main line's position (Z-Score), a momentum histogram, and real-time probability for a comprehensive view. 1. Time-Weighted Statistical Model (Z-Score Calculation) - Weighted Mean (μ_w): Instead of a simple average, the indicator uses a Weighted Moving Average (ta.wma) to calculate the price mean, giving more weight to recent data points. - Weighted Standard Deviation (σ_w): A custom weighted_std function calculates the standard deviation, also prioritizing recent prices. This ensures that the measure of dispersion is more responsive to the latest market behavior. - Z-Score: The core of the indicator is the Z-Score, calculated as Z = (Price - μ_w) / σ_w. This value represents how many weighted standard deviations the current price is from its weighted mean. A higher absolute Z-Score indicates a more statistically significant price deviation. 2. Probability Calculation - The indicator uses an approximation of the Normal Cumulative Distribution Function (normal_cdf_approx) to calculate the probability of a Z-Score occurring. - The final price_probability is a two-tailed probability, calculated as 2 * (1 - CDF(|Z-Score|)). This value quantifies the statistical rarity of the current price deviation. For example, a probability of 0.05 (or 5%) means that a deviation of this magnitude or greater is expected to occur only 5% of the time, signaling a potential market extreme. 3. Dynamic Parameter Adjustment - Volatility Measurement: The system measures market volatility using the standard deviation of price changes (ta.stdev(ta.change(src))) over a specific lookback period. - Volatility Percentile: It then calculates the percentile rank (ta.percentrank) of the current volatility relative to its history. This contextualizes whether the market is in a high-volatility or low-volatility state. - Adaptive Adjustment: - If volatility is high (e.g., >75th percentile), the indicator can shorten its distribution_period and increase its position_sensitivity. This makes it more responsive to fast-moving markets. - If volatility is low (e.g., <25th percentile), it can lengthen the period and decrease sensitivity, making it more stable in calmer markets. This adaptive mechanism helps maintain the indicator's relevance across different market regimes. 4. Momentum and Cycle Analysis (Histogram) - The indicator does not use a Hilbert Transform. Instead, it analyzes momentum cycles by calculating a histogram: Histogram = (Z-Score - EMA(Z-Score)) * Sensitivity. - This histogram represents the rate of change of the Z-Score. A positive and rising histogram indicates accelerating upward deviation, while a negative and falling histogram indicates accelerating downward deviation. Divergences between the price and the histogram can signal a potential exhaustion of the current deviation trend, often preceding a reversal. - Reversal Signals: Look for the main line in extreme zones (e.g., Z-Score > 2 or < -2), probability below a threshold (e.g., 5%), and divergence or contraction in the momentum histogram. - Trend Filtering: The main line's direction indicates the trend of price deviation, while the histogram confirms its momentum. - Risk Management: Enter a high-alert state when probability drops below 5%; consider risk control when |Z-Score| > 2. - Gray, thin line: Price is within a normal statistical range (~1 sigma, ~68% probability). - Orange/Yellow, thick line: Price is moderately deviated (1 to 2 sigma). - Cyan/Purple, thick line: Price is extremely deviated (>2 sigma, typically <5% probability). - Distribution Period: 50 (for weighted calculation) - Position Sensitivity: 2.5 - Volatility Lookback: 10 - Probability Threshold: 0.03 Suitable for all financial markets and timeframes, especially in markets that exhibit mean-reverting tendencies. This indicator is a technical analysis tool and does not constitute investment advice. Always use in conjunction with other analysis methods and a strict risk management strategy. Copyright (c) 2025 | Pine Script v6 Compatible --- 统计价格位置振荡器 (SPPO) - 时间加权版 基于时间加权统计学模型，该指标量化了当前价格与其近期均值的偏离程度。它使用Z分数对价格位置进行标准化，并计算其出现的统计概率，帮助交易者更灵敏地识别市场过度延伸和均值回归的机会。 - 时间加权模型：通过使用加权移动平均（WMA）和加权标准差，对近期价格变化反应更迅速。 - 统计学基础：利用Z分数标准化和概率计算，为风险和价格极端性提供了客观的衡量标准。 - 动态自适应：根据市场波动率自动调整其计算周期和敏感度，使其在不同市场条件下都具有通用性。 - 智能视觉：动态线条粗细和渐变颜色编码，直观地展示价格偏离的强度。 - 多维分析：结合了主线位置（Z分数）、动能柱和实时概率，提供了全面的市场视角。 1. 时间加权统计模型 (Z分数计算) - 加权均值 (μ_w)：指标使用加权移动平均 (ta.wma) 而非简单平均来计算价格均值，赋予近期数据点更高的权重。 - 加权标准差 (σ_w)：通过一个自定义的 weighted_std 函数计算标准差，同样优先考虑近期价格。这确保了离散度的衡量对最新的市场行为更敏感。 - Z分数：指标的核心是Z分数，计算公式为 Z = (价格 - μ_w) / σ_w。该值表示当前价格偏离其加权均值的加权标准差倍数。Z分数的绝对值越高，表示价格偏离在统计上越显著。 2. 概率计算 - 指标使用正态累积分布函数 (normal_cdf_approx) 的近似值来计算特定Z分数出现的概率。 - 最终的 price_probability 是一个双尾概率，计算公式为 2 * (1 - CDF(|Z分数|))。该值量化了当前价格偏离的统计稀有性。例如，0.05（或5%）的概率意味着这种幅度或更大的偏离预计只在5%的时间内发生，这预示着一个潜在的市场极端。 3. 动态参数调整 - 波动率测量：系统通过计算特定回溯期内价格变化的标准差 (ta.stdev(ta.change(src))) 来测量市场波动率。 - 波动率百分位：然后，它计算当前波动率相对于其历史的百分位排名 (ta.percentrank)。这将当前市场背景定义为高波动率或低波动率状态。 - 自适应调整： - 如果波动率高（例如，>75百分位），指标可以缩短其 distribution_period（分布周期）并增加其 position_sensitivity（位置敏感度），使其对快速变化的市场反应更灵敏。 - 如果波动率低（例如，<25百分位），它可以延长周期并降低敏感度，使其在较平静的市场中更稳定。这种自适应机制有助于保持指标在不同市场制度下的有效性。 4. 动能与周期分析 (动能柱) - 该指标不使用希尔伯特变换。相反，它通过计算一个动能柱来分析动量周期：动能柱 = (Z分数 - Z分数的EMA) * 敏感度。 - 该动能柱代表Z分数的变化率。一个正向且不断增长的动能柱表示向上的偏离正在加速，而一个负向且不断下降的动能柱表示向下的偏离正在加速。价格与动能柱之间的背离可以预示当前偏离趋势的衰竭，通常发生在反转之前。 - 反转信号：寻找主线进入极端区域（如Z分数 > 2 或 < -2）、概率低于阈值（如5%）以及动能柱出现背离或收缩。 - 趋势过滤：主线的方向指示价格偏离的趋势，而动能柱确认其动量。 - 风险管理：当概率降至5%以下时进入高度警惕状态；当|Z分数| > 2时考虑风险控制。 - 灰色细线：价格处于正常统计范围内（约1个标准差，约68%概率）。 - 橙色/黄色粗线：价格中度偏离（1到2个标准差）。 - 青色/紫色粗线：价格极端偏离（>2个标准差，通常概率<5%）。 - 分布周期：50（用于加权计算） - 位置敏感度：2.5 - 波动率回溯期：10 - 概率阈值：0.03 适用于所有金融市场和时间框架，尤其是在表现出均值回归特性的市场中。 本指标为技术分析辅助工具，不构成任何投资建议。请务必结合其他分析方法和严格的风险管理策略使用。 版权所有 (c) 2025 | Pine Script v6 兼容
Pine Script® indicator
by Lavaetin42
SPPO - Statistical Price Position OscillatorSPPO - Statistical Price Position Oscillator === INDICATOR OVERVIEW === The Statistical Price Position Oscillator (SPPO) is an innovative technical analysis tool built on rigorous statistical principles. Unlike traditional oscillators that rely on fixed periods or subjective thresholds, SPPO uses dynamic statistical modeling to assess where current prices stand within their historical distribution. === KEY FEATURES === • Statistical Foundation: Based on normal distribution theory and Z-Score standardization • Dynamic Parameter Adjustment: Automatically adapts to market volatility conditions • Probability Quantification: Provides objective probability assessments for price levels • Multi-Layer Visual System: Six layers of information encoding (line position, color intensity, line width, background, histogram, data panel) • Professional Color Schemes: Multiple themes optimized for different trading environments • Real-time Risk Assessment: Quantifies the statistical significance of current price positions === CORE COMPONENTS === 1. SPPO Main Line - Represents the standardized price position (Z-Score × Sensitivity) - Dynamic line width: Normal (2px) for |Z| ≤ 1.0, Bold (6px) for extreme deviations - Color coding: Neutral (gray) for normal range, Orange/Yellow for moderate deviation, Blue/Purple for extreme deviation 2. SPPO Histogram (Momentum Bars) - Measures the momentum of statistical deviation, not price momentum - Calculated as: (Current Z-Score - EMA of Z-Score) × Sensitivity - Helps identify momentum divergences and trend continuation/reversal signals 3. Intelligent Data Panel - Real-time display of key statistical metrics - Shows: Price Position, Z-Score, Probability, Momentum, Deviation Classification, Market Regime - Dynamic parameter display for transparency 4. Adaptive Background System - Visual representation of market regimes - Color intensity based on statistical significance - Helps quickly identify extreme market conditions === PARAMETER SETTINGS === Core Parameters: • Distribution Period (30-120, default 50): Statistical calculation window based on Central Limit Theorem • Range Evaluation Period (10-100, default 14): Price range assessment window • Position Sensitivity (0.5-4.0, default 2.5): Indicator responsiveness factor • Probability Threshold (0.01-0.2, default 0.03): Signal trigger threshold Confidence Intervals: • 1σ Confidence (60%-75%, default 68%): Normal range boundary • 2σ Confidence (90%-98%, default 95%): Significant deviation boundary • 3σ Confidence (99.5%-99.9%, default 99.7%): Extreme deviation boundary Dynamic Adjustment: • Enable Dynamic Adjustment: Automatically optimizes parameters based on market volatility • Volatility Lookback (10-50, default 10): Period for volatility assessment • Dynamic Sensitivity Multiplier (0.5-3.0, default 1.5): Volatility-based sensitivity adjustment === MATHEMATICAL FOUNDATION === SPPO is built on several key mathematical concepts: 1. Z-Score Standardization: Z = (X - μ) / σ Where X = current price, μ = mean, σ = standard deviation 2. Normal Distribution Theory: Assumes prices follow normal distribution within rolling windows 3. Probability Density Function: PDF(z) = e^(-z²/2) / √(2π) 4. Cumulative Distribution Function: Approximates tail probabilities for extreme events 5. Dynamic Parameter Optimization: Adjusts calculation parameters based on market volatility percentiles === TRADING APPLICATIONS === 1. Mean Reversion Strategy - Entry: SPPO > +8 or < -8 with probability < 5% - Confirmation: Momentum histogram showing divergence - Exit: SPPO returns to ±3 range 2. Trend Confirmation - Trend continuation: SPPO and histogram aligned - Trend exhaustion: Extreme SPPO with weakening histogram - Breakout validation: SPPO breaking confidence intervals with volume 3. Risk Management - Position sizing based on probability inverse - Stop-loss when SPPO extends beyond ±12 - Take-profit at statistical mean reversion levels === MARKET REGIME CLASSIFICATION === • Normal Range (|SPPO| < 3): Trend-following strategies preferred • Moderate Deviation (3 < |SPPO| < 8): Cautious mean reversion with partial positions • Extreme Deviation (|SPPO| > 8): Aggressive mean reversion with strict risk management === TIMEFRAME RECOMMENDATIONS === • Short-term Trading (30-50 period): Intraday scalping, high sensitivity • Medium-term Analysis (50-80 period): Swing trading, balanced sensitivity • Long-term Trends (80-120 period): Position trading, statistical stability focus === UNIQUE ADVANTAGES === 1. Objective Signal Generation: Every signal backed by statistical probability 2. Self-Adaptive System: Automatically adjusts to changing market conditions 3. Multi-Dimensional Information: Six layers of visual information in single indicator 4. Universal Application: Works across all markets and timeframes 5. Risk Quantification: Provides probability-based risk assessment 6. Professional Visualization: Institutional-grade color schemes and data presentation === TECHNICAL SPECIFICATIONS === • Pine Script Version: v6 compatible • Maximum Bars Back: 500 (optimized for performance) • Calculation Efficiency: Incremental updates with caching • Memory Management: Dynamic array sizing with intelligent cleanup • Rendering Optimization: Conditional rendering to reduce resource consumption === ALERT CONDITIONS === • Extreme Probability Alert: Triggered when probability < extreme threshold • Buy Signal Alert: Statistical mean reversion buy conditions met • Sell Signal Alert: Statistical mean reversion sell conditions met • High Volatility Alert: Market enters high volatility regime (>90th percentile) === COMPATIBILITY === • Asset Classes: Stocks, Forex, Commodities, Cryptocurrencies, Indices • Timeframes: All standard timeframes (1m to 1M) • Market Sessions: 24/7 markets and traditional market hours • Data Requirements: Minimum 120 bars for optimal statistical accuracy === PERFORMANCE OPTIMIZATION === • Efficient Algorithms: Uses Pine Script built-in functions for optimal speed • Memory Management: Limited historical data caching to prevent overflow • Rendering Optimization: Layered rendering system reduces redraw overhead • Precision Balance: Optimized balance between calculation accuracy and performance === RISK DISCLAIMER === SPPO is a statistical analysis tool designed to assist in market analysis. While based on rigorous mathematical principles, it should not be used as the sole basis for trading decisions. Always combine SPPO analysis with: • Fundamental analysis • Risk management practices • Market context awareness • Position sizing discipline Past performance does not guarantee future results. Trading involves substantial risk of loss. === SUPPORT AND DOCUMENTATION === For detailed technical documentation, implementation examples, and advanced strategies, please refer to the comprehensive SPPO Technical Documentation included with this indicator. === VERSION INFORMATION === Current Version: 2.0 Last Updated: 2024 Compatibility: Pine Script v6 Author: === CONCLUSION === SPPO represents a significant advancement in technical analysis, bringing institutional-grade statistical modeling to retail traders. Its combination of mathematical rigor, adaptive intelligence, and professional visualization makes it an invaluable tool for traders seeking objective, probability-based market analysis. The indicator's unique approach to quantifying price position within statistical distributions provides traders with unprecedented insight into market extremes and mean reversion opportunities, while its self-adaptive nature ensures consistent performance across varying market conditions.
Pine Script® indicator
by Lavaetin42
Time Confluence Windows — 50% Levels + Next-Close ScannerFind stacked time windows and the exact prior-bar 50% levels across multiple timeframes — in one panel and on your chart. This tool highlights when several timeframes are simultaneously “in play” (post-close & pre-close windows), and plots the previous bar midpoint (50%) for each TF so you can judge mean-revert vs. continuation risk at a glance. What it shows Confluence shading: counts active windows from selected TFs (30m→8h) plus optional pre-close anticipation for 3h/4h/6h/8h. Tiers at 5/6/7/8/≥9 stacks with configurable colors. Panel (table) with: TF list (tinted to match line colors) Next Close countdown for each TF Prev 50% = exact midpoint of the previous bar on that TF (▲ if price above, ▼ if below) 50% lines on the chart (optional) for intraday TFs + optional D/W/M. Labels can show price. Close markers (optional triangles) to see when a TF just closed. Scan header: auto-adds higher TFs (multi-day/week/month bars) only if their next close is within X hours (default 22h), keeping the panel focused on relevant windows. Alerts: one alert condition when the stack reaches your threshold. How it works (exact & efficient) 50% is computed with one request per TF using hl2 on the requested basis (regular or extended / Heikin-Ashi if you choose). This keeps table and lines in perfect sync and reduces request.* usage. Lines “follow” the panel: if you hide a TF in the panel (e.g., chart TF is higher and you enabled TF-follow), its line is hidden too. Daily/Weekly/Monthly lines/rows are optionally gated by “scan hours” (default 22h to activation). Key inputs Tracked TFs: 30m, 1h, 2h, 3h, 4h, 6h, 8h (toggle each) Basis: Heikin-Ashi on/off, RTH vs. Extended (if session exists) Post-close & Pre-close window lengths per TF Recent window filter (only draw lines/shading near the most recent N minutes) Line options: width, style, span, label side, show price, per-TF colors TF-follow: hide intraday lines when chart TF is higher; gate D/W/M by scan hours Alert: threshold for confluence stack Tips / FAQ Lines don’t match the table? Make sure Auto Fit to screen is on (or zoom so lines are within view), and confirm you’re using the same basis (RTH/Extended, Heikin-Ashi) as the panel. This version uses the same midpoint source for both, so values match exactly. Hitting request limits? Disable unused TFs, turn off D/W/M lines, or increase “Scan ≤ hours” selectivity. This build already halves midpoint requests via hl2 . No-repaint note: 50% levels use previous bar data on each TF with lookahead_off, so the plotted midpoints do not repaint. Shading/countdowns update in real time as windows open/close. How to use Add the indicator and pick your tracked TFs. Choose your basis (Regular vs Extended / Heikin-Ashi). Set scan hours (e.g., 22h) to show higher-TF rows/lines only when relevant. Optionally enable lines & labels for the TFs you actively trade. (Optional) Create an alert: Time Confluence Stack ≥ Threshold. Change log v6.6.3 Exact 50% via single hl2 call per TF (panel & lines always match) Reduced request.* usage for better performance TF-follow behavior & gating polished Disclaimer: This is an educational tool, not financial advice. Always confirm signals within your own plan and manage risk.
Pine Script® indicator
by wesso80
1
APC Companion – Volume Accumulation/DistributionIndicator Description (TradingView – Open Source) APC Companion – Volume Accumulation/Distribution Filter (Designed to work standalone or together with the APC Compass) What this indicator does The APC Companion measures whether markets are under Accumulation (buying pressure) or Distribution (selling pressure) by combining: Chaikin A/D slope – volume flow into price moves On-Balance Volume momentum – confirms trend strength VWAP spread – price vs. fair value by traded volume CLV × Volume Z-Score – detects intrabar absorption / selling pressure VWMA vs. EMA100 – confirms whether weighted volume supports price action The result is a single Acc/Dist Score (−5 … +5) and a Coherence % showing how many signals agree. How to interpret Score ≥ +3 & Coherence ≥ 60% → Accumulation (green) → market supported by buyers Score ≤ −3 & Coherence ≥ 60% → Distribution (red) → market pressured by sellers Anything in between = neutral (no strong bias) Using with APC Compass Long trades: Only take Compass Long signals when Companion shows Accumulation. Short trades: Only take Compass Short signals when Companion shows Distribution. Neutral Companion: Skip or reduce size if there is no confirmation. This filter greatly reduces false signals and improves trade quality. Best practice Swing trading: 4H / 1D charts, lenZ 40–80, lenSlope 14–20 Intraday: 5m–30m charts, lenZ 20–30, lenSlope 10–14 Position sizing: Increase with higher Coherence %, reduce when below 60% Exits: Reduce or close if Score drops back to neutral or flips opposite Disclaimer This script is published open source for educational purposes only. It is not financial advice. Test thoroughly before using in live trading.
Pine Script® indicator
by SamBou76
Auto Trend Channel with Fibonacci‼️ PLEASE USE WITH LOG CHART 🟠 Overview This indicator introduces a novel approach to trend channel construction by implementing a touch-based validation system that ensures channels actually function as dynamic support and resistance levels. Unlike traditional linear regression channels that simply fit a mathematical line through price data, this indicator validates channel effectiveness by measuring how frequently price interacts with the boundaries, creating channels that traders can reliably use for entry and exit decisions. 🟠 Core Idea: Touch-Based Channel Validation The fundamental problem with standard regression channels is that they often create mathematically correct but practically useless boundaries that price rarely respects. This indicator solves this by introducing a dual-scoring optimization system that evaluates each potential channel based on two critical factors: Trend Correlation (70% weight): Measures how well prices follow the overall trend direction using Pearson correlation coefficient Boundary Touch Frequency (30% weight): Counts actual instances where price highs touch the upper channel and lows touch the lower channel This combination ensures the selected channel not only follows the trend but actively serves as support and resistance. 🟠 Trading Applications Trend Following Strong Uptrend: Price consistently bounces off lower channel and Fibonacci levels Strong Downtrend: Price repeatedly fails at upper channel and Fibonacci resistance Trend Weakening: Price fails to reach channel extremes or breaks through Entry Strategies Channel Bounce Entries: Enter long when price touches lower channel with confirmation; short at upper channel touches Fibonacci Retracement Entries: Use 38.2% or 61.8% levels for pullback entries in trending markets Breakout Entries: Trade breakouts when price closes beyond channels with increased volume 🟠 Customization Parameters Automatic/Manual Period: Choose between intelligent auto-detection or fixed lookback period Touch Sensitivity (0.1%-10%): Defines how close price must be to count as a boundary touch Minimum Touches (1-10): Filter threshold for channel validation Adaptive Deviation: Toggle between calculated or manual deviation multipliers
Pine Script® indicator
by osprey0
Candlestick Entry SystemCandlestick Entry System Green: (dark green) – Strong and growing trend, bullish momentum. – This is the most favorable scenario for long trading. Red: – Strong trend but downward momentum. – Possible correction within an uptrend or the start of weakness. Blue: – Weak or sideways trend but upward momentum. – Typically a rebound or recovery without clear trend strength. Yellow: – Weak trend and bearish momentum. – Market in a range or bearish consolidation.
Pine Script® indicator
by catamoj
Divergences v2.4 [LTB][SPTG]Open-source credit & license Original author: LonesomeTheBlue. This fork by: sirpipthegreat — with attribution to the original work. License: Open-source, published under the MPL-2.0 (same license header in the code). I am publishing this open-source in accordance with TradingView’s Open-source reuse rules. What’s new: - Fixes & stability (addresses “historical offset beyond buffer” errors) - Capped and validated all historical indexing with guarded lookbacks (e.g., min(…, 200) style limits) to prevent referencing data beyond the buffer on shorter histories/thin symbols. - Refactored highest/lowest bars scans to obey the cap and avoid cumulative overflows on long sessions. - Added per-bar counters with safety clamps to ensure it never exceeds available history. - Ensured HTF switching doesn’t create invalid offsets when the higher timeframe compresses history. Modernization & user control: - Pine v6 upgrade and re-organization of logic for clarity/performance. - More predictable tops/bottoms detection. What it does: - Detects regular (trend-reversal) and optional hidden (trend-continuation) divergences between price swing tops/bottoms and the selected oscillator(s). - Computes candidate pivots with a light HTF alignment to reduce micro-noise; validates divergence when oscillator and price move in opposite directions across those pivots. - Plots colored lines/labels on price to highlight bearish (regular & hidden) and bullish (regular & hidden) patterns. How to use: - Choose the oscillator set you trust (start with RSI + MACD). - Consider confluence (S/R, volume, trend filters). This tool only identifies conditions
Pine Script® indicator
by sirpipthegreat
Polynomial Regression HeatmapPolynomial Regression Heatmap – Advanced Trend & Volatility Visualizer Overview The Polynomial Regression Heatmap is a sophisticated trading tool designed for traders who require a clear and precise understanding of market trends and volatility. By applying a second-degree polynomial regression to price data, the indicator generates a smooth trend curve, augmented with adaptive volatility bands and a dynamic heatmap. This framework allows users to instantly recognize trend direction, potential reversals, and areas of market strength or weakness, translating complex price action into a visually intuitive map. Unlike static trend indicators, the Polynomial Regression Heatmap adapts to changing market conditions. Its visual design—including color-coded candles, regression bands, optional polynomial channels, and breakout markers—ensures that price behavior is easy to interpret. This makes it suitable for scalping, swing trading, and longer-term strategies across multiple asset classes. How It Works The core of the indicator relies on fitting a second-degree polynomial to a defined lookback period of price data. This regression curve captures the non-linear nature of market movements, revealing the true trajectory of price beyond the distortions of noise or short-term volatility. Adaptive upper and lower bands are constructed using ATR-based scaling, surrounding the regression line to reflect periods of high and low volatility. When price moves toward or beyond these bands, it signals areas of potential overextension or support/resistance. The heatmap colors each candle based on its relative position within the bands. Green shades indicate proximity to the upper band, red shades indicate proximity to the lower band, and neutral tones represent mid-range positioning. This continuous gradient visualization provides immediate feedback on trend strength, market balance, and potential turning points. Optional polynomial channels can be overlaid around the regression curve. These three-line channels are based on regression residuals and a fixed width multiplier, offering additional reference points for analyzing price deviations, trend continuation, and reversion zones. Signals and Breakouts The Polynomial Regression Heatmap includes statistical pivot-based signals to highlight actionable price movements: Buy Signals – A triangular marker appears below the candle when a pivot low occurs below the lower regression band. Sell Signals – A triangular marker appears above the candle when a pivot high occurs above the upper regression band. These markers identify significant deviations from the regression curve while accounting for volatility, providing high-quality visual cues for potential entry points. The indicator ensures clarity by spacing markers vertically using ATR-based calculations, preventing overlap during periods of high volatility. Users can rely on these signals in combination with heatmap intensity and regression slope for contextual confirmation. Interpretation Trend Analysis : The slope of the polynomial regression line represents trend direction. A rising curve indicates bullish bias, a falling curve indicates bearish bias, and a flat curve indicates consolidation. Steeper slopes suggest stronger momentum, while gradual slopes indicate more moderate trend conditions. Volatility Assessment : Band width provides an instant visual measure of market volatility. Narrow bands correspond to low volatility and potential consolidation, whereas wide bands indicate higher volatility and significant price swings. Heatmap Coloring : Candle colors visually represent price position within the bands. This allows traders to quickly identify zones of bullish or bearish pressure without performing complex calculations. Channel Analysis (Optional) : The polynomial channel defines zones for evaluating potential overextensions or retracements. Price interacting with these lines may suggest areas where mean-reversion or trend continuation is likely. Breakout Signals : Buy and Sell markers highlight pivot points relative to the regression and volatility bands. These are statistical signals, not arbitrary triggers, and should be interpreted in context with trend slope, band width, and heatmap intensity. Strategy Integration The Polynomial Regression Heatmap supports multiple trading approaches: Trend Following – Enter trades in the direction of the regression slope while using the heatmap for momentum confirmation. Pullback Entries – Use breakouts or deviations from the regression bands as low-risk entry points during trend continuation. Mean Reversion – Price reaching outer channel boundaries can indicate potential reversal or retracement opportunities. Multi-Timeframe Alignment – Overlay on higher and lower timeframes to filter noise and improve entry timing. Stop-loss levels can be set just beyond the opposing regression band, while take-profit targets can be informed by the distance between the bands or the curvature of the polynomial line. Advanced Techniques For traders seeking greater precision: Combine the Polynomial Regression Heatmap with volume, momentum, or volatility indicators to validate signals. Observe the width and slope of the regression bands over time to anticipate expanding or contracting volatility. Track sequences of breakout signals in conjunction with heatmap intensity for systematic trade management. Adjusting regression length allows customization for different assets or timeframes, balancing responsiveness and smoothing. The combination of polynomial curve, adaptive bands, heatmap, and optional channels provides a comprehensive statistical framework for informed decision-making. Inputs and Customization Regression Length – Determines the number of bars used for polynomial fitting. Shorter lengths increase responsiveness; longer lengths improve smoothing. Show Bands – Toggle visibility of the ATR-based regression bands. Show Channel – Enable or disable the polynomial channel overlay. Color Settings – Customize bullish, bearish, neutral, and accent colors for clarity and visual preference. All other internal parameters are fixed to ensure consistent statistical behavior and minimize potential misconfiguration. Why Use Polynomial Regression Heatmap The Polynomial Regression Heatmap transforms complex price action into a clear, actionable visual framework. By combining non-linear trend mapping, adaptive volatility bands, heatmap visualization, and breakout signals, it provides a multi-dimensional perspective that is both quantitative and intuitive. This indicator allows traders to focus on execution, interpret market structure at a glance, and evaluate trend strength, overextensions, and potential reversals in real time. Its design is compatible with scalping, swing trading, and long-term strategies, providing a robust tool for disciplined, data-driven trading.
Pine Script® indicator
by BOSWaves
JessieOBS with MACD - The Evil MACD 中文版说明在后面 JessieOBS takes the classic MACD to the next level by clearly highlighting overbought and oversold zones. While the traditional MACD works well for spotting uptrends and downtrends, it often struggles in sideways markets—producing false signals and useless crossovers that can trigger unnecessary stop losses. JessieOBS solves this problem, giving you cleaner, more reliable signals even when the market is moving sideways. The thick white line signals an oversold area, hinting that a price reversal to an uptrend may happen soon. The thick blue line signals an overbought area, hinting that a price reversal to a downtrend may happen soon. JessieOBS helps you filter sideways trends, improving your win rate. WARNING: JessieOBS is only an early WARNING, NOT A TRADE ENTRY SIGNAL. When a warning appears, stay alert and wait for confirmation—through price action, divergences (HIGHLY RECOMMENDED with a win rate over 85%!), or the theory of entanglement (HIGHLY RECOMMENDED with a even higher win rate!). With the right approach, JessieOBS can take your win rate to the next level! 中文版说明： 传统的MACD可以很明确识别出趋势，但有两个最大的缺点：第一是滞后性，第二是假信号。所以MACD在趋势行情里比较好用（不管是上升趋势还是下降趋势），但在横盘期间，就会产生很多的假信号。 JessieOBS就解决了MACD不准的问题，在MACD的信号线上，添加了白色和蓝色的粗线，白色粗线代表价格超卖，接下来很可能会反转上涨，蓝色粗线代表价格超买，接下来很可能会反转下跌。市场横盘期间，JessieOBS很少会给出超买或者超卖信号，从而有效过滤了MACD的假信号。 注意！JessieOBS只能作为一个提前的预警，一定不能把JessieOBS当做入场信号看待。因为JessieOBS只预警价格可能会反转，但并不能预测出价格发生反转的准确时间。 正确的做法是，一旦看见JessieOBS的预警信号，就应该重点关注，再用其他的方式找到准确的入场点。裸k交易法是有用的，找到反转的趋势k线作为入场点。 强烈推荐：出现预警信号之后根据背离点入场，这种方法的胜率可以超过85%。 强烈推荐：出现预警信号之后根据缠论分析入场，利用缠论分析出的入场点胜率可以更高。
Pine Script® indicator
by KakarottoGoku
238
IFVG by Toño# IFVG by Toño - Pine Script Indicator ## Overview This Pine Script indicator identifies and visualizes **Fair Value Gaps (FVG)** and **Inverted Fair Value Gaps (IFVG)** on trading charts. It provides advanced analysis of price inefficiencies and their subsequent inversions when mitigated. ## Key Features ### 1. Fair Value Gap (FVG) Detection - **Bullish FVG**: Detected when `low > high ` (gap between current low and high of 2 bars ago) - **Bearish FVG**: Detected when `high < low ` (gap between current high and low of 2 bars ago) - Visual representation using colored rectangles (green for bullish, red for bearish) ### 2. Inverted Fair Value Gap (IFVG) Creation - **IFVG Formation**: When a FVG gets mitigated (price fills the gap with candle body), an IFVG is created - **Color Inversion**: The IFVG takes the opposite color of the original FVG - Mitigated bullish FVG → Creates red (bearish) IFVG - Mitigated bearish FVG → Creates green (bullish) IFVG - **Mitigation Logic**: Uses only candle body (not wicks) to determine when a FVG is filled ### 3. Customizable Display Options - **Show Normal FVG**: Toggle visibility of regular Fair Value Gaps - **Show IFVG**: Toggle visibility of Inverted Fair Value Gaps - **Smart FVG Display**: Even when "Show Normal FVG" is disabled, FVGs that are part of IFVGs remain visible - **Extension Control**: Option to extend FVGs until they are mitigated ### 4. IFVG Extension Methods - **Full Cross Method**: IFVG remains active until price completely crosses through it (including wicks) - **Number of Bars Method**: IFVG remains active for a specified number of bars (1-100) ### 5. Visual Mitigation Signals - **Cross Markers**: Shows X-shaped markers when IFVGs are mitigated - Green cross above bar: Bearish IFVG mitigated - Red cross below bar: Bullish IFVG mitigated ### 6. Comprehensive Alert System - **IFVG Formation Alerts**: Notifications when new IFVGs are created - **IFVG Mitigation Alerts**: Notifications when IFVGs are filled/mitigated - **Separate Controls**: Individual toggles for bullish and bearish IFVG alerts ## How It Works ### Step-by-Step Process: 1. **FVG Detection**: Script continuously scans for 3-bar patterns that create price gaps 2. **FVG Tracking**: Each FVG is stored with its coordinates, type, and status 3. **Mitigation Monitoring**: Script watches for candle bodies that fill the FVG 4. **IFVG Creation**: Upon mitigation, creates an IFVG with opposite polarity at the same location 5. **IFVG Management**: Tracks and extends IFVGs according to chosen method 6. **Visual Updates**: Dynamically updates colors and visibility based on user settings ## Use Cases - **Support/Resistance Analysis**: IFVGs often act as strong support/resistance levels - **Market Structure Understanding**: Helps identify how market inefficiencies get filled and reversed - **Entry/Exit Timing**: Can be used to time entries around IFVG formations or mitigations - **Confluence Analysis**: Combine with other technical analysis tools for stronger signals ## Configuration Parameters - **Colors**: Customizable colors for bullish/bearish FVGs and IFVGs - **Extension**: Choose how long to display gaps on the chart - **Alerts**: Full control over notification preferences - **Visual Clarity**: Options to show/hide different gap types for cleaner charts ## Technical Specifications - **Pine Script Version**: 5 - **Overlay**: True (displays directly on price chart) - **Max Boxes**: 500 (supports up to 500 simultaneous gaps) - **Performance**: Optimized array management for smooth operation This indicator is particularly valuable for traders who use **Smart Money Concepts (SMC)** and **Inner Circle Trader (ICT)** methodologies, as it provides clear visualization of how institutional order flow creates and fills market inefficiencies.
Pine Script® indicator
by saguilera1983
Meta-LR ForecastThis indicator builds a forward-looking projection from the current bar by combining twelve time-compressed “mini forecasts.” Each forecast is a linear-regression-based outlook whose contribution is adaptively scaled by trend strength (via ADX) and normalized to each timeframe’s own volatility (via that timeframe’s ATR). The result is a 12-segment polyline that starts at the current price and extends one bar at a time into the future (1× through 12× the chart’s timeframe). Alongside the plotted path, the script computes two summary measures: * Per-TF Bias% — a directional efficiency × R² score for each micro-forecast, expressed as a percent. * Meta Bias% — the same score, but applied to the final, accumulated 12-step path. It summarizes how coherent and directional the combined projection is. This tool is an indicator, not a strategy. It does not place orders. Nothing here is trade advice; it is a visual, quantitative framework to help you assess directional bias and trend context across a ladder of timeframe multiples. The core engine fits a simple least-squares line on a normalized price series for each small forecast horizon and extrapolates one bar forward. That “trend” forecast is paired with its mirror, an “anti-trend” forecast, constructed around the current normalized price. The model then blends between these two wings according to current trend strength as measured by ADX. ADX is transformed into a weight (w) in using an adaptive band centered on the rolling mean (μ) with width derived from the standard deviation (σ) of ADX over a configurable lookback. When ADX is deeply below the lower band, the weight approaches -1, favoring anti-trend behavior. Inside the flat band, the weight is near zero, producing neutral behavior. Clearly above the upper band, the weight approaches +1, favoring a trend-following stance. The transitions between these regions are linear so the regime shift is smooth rather than abrupt. You can shape how quickly the model commits to either wing using two exponents. One exponent controls how aggressively positive weights lean into the trend forecast; the other controls how aggressively negative weights lean into the anti-trend forecast. Raising these exponents makes the response more gradual; lowering them makes the shift more decisive. An optional switch can force full anti-trend behavior when ADX registers a deep-low condition far below the lower tail, if you prefer a categorical stance in very flat markets. A key design choice is volatility normalization. Every micro-forecast is computed in ATR units of its own timeframe. The script fetches that timeframe’s ATR inside each security call and converts normalized outputs back to price with that exact ATR. This avoids scaling higher-timeframe effects by the chart ATR or by square-root time approximations. Using “ATR-true” for each timeframe keeps the cross-timeframe accumulation consistent and dimensionally correct. Bias% is defined as directional efficiency multiplied by R², expressed as a percent. Directional efficiency captures how much net progress occurred relative to the total path length; R² captures how well the path aligns with a straight line. If price meanders without net progress, efficiency drops; if the variation is well-explained by a line, R² rises. Multiplying the two penalizes choppy, low-signal paths and rewards sustained, coherent motion. The forward path is built by converting each per-timeframe Bias% into a small ATR-sized delta, then cumulatively adding those deltas to form a 12-step projection. This produces a polyline anchored at the current close and stepping forward one bar per timeframe multiple. Segment color flips by slope, allowing a quick read of the path’s direction and inflection. Inputs you can tune include: * Max Regression Length. Upper bound for each micro-forecast’s regression window. Larger values smooth the trend estimate at the cost of responsiveness; smaller values react faster but can add noise. * Price Source. The price series analyzed (for example, close or typical price). * ADX Length. Period used for the DMI/ADX calculation. * ATR Length (normalization). Window used for ATR; this is applied per timeframe inside each security call. * Band Lookback (for μ, σ). Lookback used to compute the adaptive ADX band statistics. Larger values stabilize the band; smaller values react more quickly. * Flat half-width (σ). Width of the neutral band on both sides of μ. Wider flats spend more time neutral; narrower flats switch regimes more readily. * Tail width beyond flat (σ). Distance from the flat band edge to the extreme trend/anti-trend zone. Larger tails create a longer ramp; smaller tails reach extremes sooner. * Polyline Width. Visual thickness of the plotted segments. * Negative Wing Aggression (anti-trend). Exponent shaping for negative weights; higher values soften the tilt into mean reversion. * Positive Wing Aggression (trend). Exponent shaping for positive weights; lower values make trend commitment stronger and sooner. * Force FULL Anti-Trend at Deep-Low ADX. Optional hard switch for extremely low ADX conditions. On the chart you will see: * A 12-segment forward polyline starting from the current close to bar\_index + 1 … +12, with green segments for up-steps and red for down-steps. * A small label at the latest bar showing Meta Bias% when available, or “n/a” when insufficient data exists. Interpreting the readouts: * Trend-following contexts are characterized by ADX above the adaptive upper band, pushing w toward +1. The blended forecast leans toward the regression extrapolation. A strongly positive Meta Bias% in this environment suggests directional alignment across the ladder of timeframes. * Mean-reversion contexts occur when ADX is well below the lower tail, pushing w toward -1 (or forcing anti-trend if enabled). After a sharp advance, a negative Meta Bias% may indicate the model projects pullback tendencies. * Neutral contexts occur when ADX sits inside the flat band; w is near zero, the blended forecast remains close to current price, and Meta Bias% tends to hover near zero. These are analytical cues, not rules. Always corroborate with your broader process, including market structure, time-of-day behavior, liquidity conditions, and risk limits. Practical usage patterns include: * Momentum confirmation. Combine a rising Meta Bias% with higher-timeframe structure (such as higher highs and higher lows) to validate continuation setups. Treat the 12th step’s distance as a coarse sense of potential room rather than as a target. * Fade filtering. If you prefer fading extremes, require ADX to be near or below the lower ramp before acting on counter-moves, and avoid fades when ADX is decisively above the upper band. * Position planning. Because per-step deltas are ATR-scaled, the path’s vertical extent can be mentally mapped to typical noise for the instrument, informing stop distance choices. The script itself does not compute orders or size. * Multi-timeframe alignment. Each step corresponds to a clean multiple of your chart timeframe, so the polyline visualizes how successively larger windows bias price, all referenced to the current bar. House-rules and repainting disclosures: * Indicator, not strategy. The script does not execute, manage, or suggest orders. It displays computed paths and bias scores for analysis only. * No performance claims. Past behavior of any measure, including Meta Bias%, does not guarantee future results. There are no assurances of profitability. * Higher-timeframe updates. Values obtained via security for higher-timeframe series can update intrabar until the higher-timeframe bar closes. The forward path and Meta Bias% may change during formation of a higher-timeframe candle. If you need confirmed higher-timeframe inputs, consider reading the prior higher-timeframe value or acting only after the higher-timeframe close. * Data sufficiency. The model requires enough history to compute ATR, ADX statistics, and regression windows. On very young charts or illiquid symbols, parts of the readout can be unavailable until sufficient data accumulates. * Volatility regimes. ATR normalization helps compare across timeframes, but unusual volatility regimes can make the path look deceptively flat or exaggerated. Judge the vertical scale relative to your instrument’s typical ATR. Tuning tips: * Stability versus responsiveness. Increase Max Regression Length to steady the micro-forecasts but accept slower response. If you lower it, consider slightly increasing Band Lookback so regime boundaries are not too jumpy. * Regime bands. Widen the flat half-width to spend more time neutral, which can reduce over-trading tendencies in chop. Shrink the tail width if you want the model to commit to extremes sooner, at the cost of more false swings. * Wing shaping. If anti-trend behavior feels too abrupt at low ADX, raise the negative wing exponent. If you want trend bias to kick in more decisively at high ADX, lower the positive wing exponent. Small changes have large effects. * Forced anti-trend. Enable the deep-low option only if you explicitly want a categorical “markets are flat, fade moves” policy. Many users prefer leaving it off to keep regime decisions continuous. Troubleshooting: * Nothing plots or the label shows “n/a.” Ensure the chart has enough history for the ADX band statistics, ATR, and the regression windows. Exotic or illiquid symbols with missing data may starve the higher-timeframe computations. Try a more liquid market or a higher timeframe. * Path flickers or shifts during the bar. This is expected when any higher-timeframe input is still forming. Wait for the higher-timeframe close for fully confirmed behavior, or modify the code to read prior values from the higher timeframe. * Polyline looks too flat or too steep. Check the chart’s vertical scale and recent ATR regime. Adjust Max Regression Length, the wing exponents, or the band widths to suit the instrument. Integration ideas for manual workflows: * Confluence checklist. Use Meta Bias% as one of several independent checks, alongside structure, session context, and event risk. Act only when multiple cues align. * Stop and target thinking. Because deltas are ATR-scaled at each timeframe, benchmark your proposed stops and targets against the forward steps’ magnitude. Stops that are much tighter than the prevailing ATR often sit inside normal noise. * Session context. Consider session hours and microstructure. The same ADX value can imply different tradeability in different sessions, particularly in index futures and FX. This indicator deliberately avoids: * Fixed thresholds for buy or sell decisions. Markets vary and fixed numbers invite overfitting. Decide what constitutes “high enough” Meta Bias% for your market and timeframe. * Automatic risk sizing. Proper sizing depends on account parameters, instrument specifications, and personal risk tolerance. Keep that decision in your risk plan, not in a visual bias tool. * Claims of edge. These measures summarize path geometry and trend context; they do not ensure a tradable edge on their own. Summary of how to think about the output: * The script builds a 12-step forward path by stacking linear-regression micro-forecasts across increasing multiples of the chart timeframe. * Each micro-forecast is blended between trend and anti-trend using an adaptive ADX band with separate aggression controls for positive and negative regimes. * All computations are done in ATR-true units for each timeframe before reconversion to price, ensuring dimensional consistency when accumulating steps. * Bias% (per-timeframe and Meta) condenses directional efficiency and trend fidelity into a compact score. * The output is designed to serve as an analytical overlay that helps assess whether conditions look trend-friendly, fade-friendly, or neutral, while acknowledging higher-timeframe update behavior and avoiding prescriptive trade rules. Use this tool as one component within a disciplined process that includes independent confirmation, event awareness, and robust risk management.
Pine Script® indicator
by Tradenometry
2
Bitcoin Expectile Model [LuxAlgo]The Bitcoin Expectile Model is a novel approach to forecasting Bitcoin, inspired by the popular Bitcoin Quantile Model by PlanC. By fitting multiple Expectile regressions to the price, we highlight zones of corrections or accumulations throughout the Bitcoin price evolution. While we strongly recommend using this model with the Bitcoin All Time History Index INDEX:BTCUSD on the 3 days or weekly timeframe using a logarithmic scale, this model can be applied to any asset using the daily timeframe or superior. Please note that here on TradingView, this model was solely designed to be used on the Bitcoin 1W chart, however, it can be experimented on other assets or timeframes if of interest. 🔶 USAGE The Bitcoin Expectile Model can be applied similarly to models used for Bitcoin, highlighting lower areas of possible accumulation (support) and higher areas that allow for the anticipation of potential corrections (resistance). By default, this model fits 7 individual Expectiles Log-Log Regressions to the price, each with their respective expectile ( tau ) values (here multiplied by 100 for the user's convenience). Higher tau values will return a fit closer to the higher highs made by the price of the asset, while lower ones will return fits closer to the lower prices observed over time. Each zone is color-coded and has a specific interpretation. The green zone is a buy zone for long-term investing, purple is an anomaly zone for market bottoms that over-extend, while red is considered the distribution zone. The fits can be extrapolated, helping to chart a course for the possible evolution of Bitcoin prices. Users can select the end of the forecast as a date using the "Forecast End" setting. While the model is made for Bitcoin using a log scale, other assets showing a tendency to have a trend evolving in a single direction can be used. See the chart above on QQQ weekly using a linear scale as an example. The Start Date can also allow fitting the model more locally, rather than over a large range of prices. This can be useful to identify potential shorter-term support/resistance areas. 🔶 DETAILS 🔹 On Quantile and Expectile Regressions Quantile and Expectile regressions are similar; both return extremities that can be used to locate and predict prices where tops/bottoms could be more likely to occur. The main difference lies in what we are trying to minimize, which, for Quantile regression, is commonly known as Quantile loss (or pinball loss), and for Expectile regression, simply Expectile loss. You may refer to external material to go more in-depth about these loss functions; however, while they are similar and involve weighting specific prices more than others relative to our parameter tau, Quantile regression involves minimizing a weighted mean absolute error, while Expectile regression minimizes a weighted squared error. The squared error here allows us to compute Expectile regression more easily compared to Quantile regression, using Iteratively reweighted least squares. For Quantile regression, a more elaborate method is needed. In terms of comparison, Quantile regression is more robust, and easier to interpret, with quantiles being related to specific probabilities involving the underlying cumulative distribution function of the dataset; on the other expectiles are harder to interpret. 🔹 Trimming & Alterations It is common to observe certain models ignoring very early Bitcoin price ranges. By default, we start our fit at the date 2010-07-16 to align with existing models. By default, the model uses the number of time units (days, weeks...etc) elapsed since the beginning of history + 1 (to avoid NaN with log) as independent variable, however the Bitcoin All Time History Index INDEX:BTCUSD do not include the genesis block, as such users can correct for this by enabling the "Correct for Genesis block" setting, which will add the amount of missed bars from the Genesis block to the start oh the chart history. 🔶 SETTINGS Start Date: Starting interval of the dataset used for the fit. Correct for genesis block: When enabled, offset the X axis by the number of bars between the Bitcoin genesis block time and the chart starting time. 🔹 Expectiles Toggle: Enable fit for the specified expectile. Disabling one fit will make the script faster to compute. Expectile: Expectile (tau) value multiplied by 100 used for the fit. Higher values will produce fits that are located near price tops. 🔹 Forecast Forecast End: Time at which the forecast stops. 🔹 Model Fit Iterations Number: Number of iterations performed during the reweighted least squares process, with lower values leading to less accurate fits, while higher values will take more time to compute.
Pine Script® indicator
by LuxAlgo
8
Multi Timeframe Fair Value Gap Indicator ProMulti Timeframe Fair Value Gap Indicator Pro | MTF FVG Imbalance Zones | Institutional Supply Demand Levels 🎯 The Most Comprehensive Multi-Timeframe Fair Value Gap (FVG) Indicator on TradingView Transform Your Trading with Institutional-Grade Multi-Timeframe FVG Analysis Keywords: Multi Timeframe Indicator, MTF FVG, Fair Value Gap, Imbalance Zones, Supply and Demand, Institutional Trading, Order Flow Imbalance, Price Inefficiency, Smart Money Concepts, ICT Concepts, Volume Imbalance, Liquidity Voids, Multi Timeframe Analysis 📊 WHAT IS THIS INDICATOR? The Multi Timeframe Fair Value Gap Indicator Pro is the most advanced FVG detection system on TradingView, designed to identify high-probability institutional supply and demand zones across multiple timeframes simultaneously. This professional-grade tool automatically detects Fair Value Gaps (FVGs), also known as imbalance zones, liquidity voids, or inefficiency gaps - the exact areas where institutional traders enter and exit positions. 🔍 What Are Fair Value Gaps (FVGs)? Fair Value Gaps are three-candle price formations that create imbalances in the market structure. These gaps represent areas where buying or selling was so aggressive that price moved too quickly, leaving behind an inefficient zone that price often returns to "fill" or "mitigate." Professional traders use these zones as high-probability entry points. Bullish FVG: When the low of candle 3 is higher than the high of candle 1 Bearish FVG: When the high of candle 3 is lower than the low of candle 1 ⚡ KEY FEATURES 📈 Multi-Timeframe Analysis (MTF) - 12 Timeframes Simultaneously: 1m, 3m, 5m, 15m, 30m, 45m, 1H, 2H, 3H, 4H, Daily, Weekly - Real-Time Detection: Instantly identifies FVGs as they form across all selected timeframes - Customizable Timeframe Selection: Choose which timeframes to display based on your trading style - Higher Timeframe Confluence: See when multiple timeframes align for stronger signals 🎨 Three Professional Visual Themes 1. Dark Intergalactic: Futuristic neon colors with high contrast for dark mode traders 2. Light Minimal: Clean, professional appearance for traditional charting 3. Pro Modern: Low-saturation colors for extended screen time comfort 📊 Advanced FVG Dashboard - Live FVG Counter: Real-time count of active bullish and bearish gaps - Total Zone Tracking: Monitor all active imbalance zones at a glance - Theme-Adaptive Display: Dashboard automatically adjusts to your selected visual theme - Strategic Positioning: Optimally placed to not interfere with price action 🔧 Smart Zone Management - Dynamic Zone Updates: FVG boxes automatically adjust when price touches them - Mitigation Detection: Visual feedback when zones are tested or filled - Color-Coded Status: Instantly see untested vs tested zones - Extended Projection: Option to extend boxes to the right for future reference - Timeframe Labels: Optional labels showing which timeframe each FVG originated from 💡 Intelligent Features - Automatic Zone Cleanup: Removes fully mitigated FVGs to keep charts clean - Touch-Based Level Adjustment: Zones adapt to partial fills - Maximum Box Management: Optimized to handle 500 simultaneous FVG zones - Performance Optimized: Efficient code ensures smooth operation even with multiple timeframes 🎯 TRADING APPLICATIONS Day Trading & Scalping - Use 1m, 3m, 5m FVGs for quick scalp entries - Combine with higher timeframe FVGs for directional bias - Perfect for futures (ES, NQ, MNQ), forex, and crypto scalping Swing Trading - Focus on 1H, 4H, and Daily FVGs for swing positions - Identify major support/resistance zones - Plan entries at untested higher timeframe gaps Position Trading - Utilize Daily and Weekly FVGs for long-term positions - Identify institutional accumulation/distribution zones - Major reversal points at significant imbalance areas Multi-Timeframe Confluence Trading - Stack multiple timeframe FVGs for high-probability zones - Confirm entries when lower and higher timeframe FVGs align - Professional edge through timeframe confluence 📚 HOW TO USE THIS INDICATOR Step 1: Add to Your Chart Click "Add to Favorites" and apply to any trading instrument - works on all markets including stocks, forex, crypto, futures, and indices. Step 2: Configure Your Timeframes In settings, select which timeframes you want to monitor. Day traders might focus on 1m-15m, while swing traders might use 1H-Weekly. Step 3: Choose Your Visual Theme Select from three professional themes based on your preference and trading environment. Step 4: Identify Trading Opportunities For Long Entries: - Look for Bullish FVGs (green/cyan zones) - Wait for price to return to untested zones - Enter when price shows rejection from the FVG zone - Higher timeframe FVGs provide stronger support For Short Entries: - Look for Bearish FVGs (red/pink zones) - Wait for price to return to untested zones - Enter when price shows rejection from the FVG zone - Higher timeframe FVGs provide stronger resistance Step 5: Manage Risk - Place stops beyond the FVG zone - Use partially filled FVGs as trailing stop levels - Exit when opposite FVGs form (reversal signal) 🏆 WHY THIS IS THE BEST MTF FVG INDICATOR ✅ Most Comprehensive - More timeframes than any other FVG indicator - Advanced features not found elsewhere - Professional-grade visual presentation ✅ Institutional-Grade - Based on smart money concepts (SMC) - ICT (Inner Circle Trader) methodology compatible - Used by professional prop traders ✅ User-Friendly - Clean, intuitive interface - Detailed tooltips and descriptions - Works out-of-the-box with optimal defaults ✅ Continuously Updated - Regular improvements and optimizations - Community feedback incorporated - Professional development by PineProfits 🔥 PERFECT FOR - Scalpers seeking quick FVG fills - Day Traders using multi-timeframe analysis - Swing Traders identifying major zones - ICT/SMC Traders following smart money - Prop Firm Traders needing reliable setups - Algorithmic Traders building systematic strategies - Technical Analysts studying market structure - All Experience Levels from beginners to professionals 💎 ADVANCED TIPS 1. Confluence is Key: The strongest signals occur when multiple timeframe FVGs align at the same price level 2. Fresh vs Tested: Untested FVGs (original color) are stronger than tested ones (gray/muted color) 3. Time of Day: FVGs formed during high-volume sessions (London/NY) are more reliable 4. Trend Alignment: Trade FVGs in the direction of the higher timeframe trend for best results 5. Volume Confirmation: Combine with volume indicators for enhanced reliability 📈 INDICATOR SETTINGS Visual Settings - Visual Theme: Choose between Dark Intergalactic, Light Minimal, or Pro Modern - Show Branding: Toggle PineProfits branding on/off General Settings - Move box levels with price touch: Dynamically adjust FVG zones - Change box color with price touch: Visual feedback for tested zones - Extend boxes to the right: Project zones into the future - Plot Timeframe Label: Show origin timeframe on each FVG - Show FVG Dashboard: Toggle the summary dashboard Timeframe Selection Select any combination of 12 available timeframes (1m to Weekly) 🚀 GET STARTED NOW 1. Click "Add to Favorites" to save this indicator 2. Apply to your chart - works on any instrument 3. Join thousands of traders already using this professional tool 4. Follow PineProfits for more institutional-grade indicators ⚖️ DISCLAIMER This indicator is for educational and informational purposes only. It should not be considered financial advice. Always do your own research and practice proper risk management. Past performance does not guarantee future results. Trade responsibly. © PineProfits - Professional Trading Tools for Modern Markets If you find this indicator valuable, please leave a like and comment. Your support helps me create more professional-grade tools for the TradingView community!
Pine Script® indicator
by PineProfits