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ATR Trend StatusThis indicator reports two key data points. Daily ATR(10): The 10-period daily average true range. Regardless of the timeframe, the ATR calculation is based on daily bars. This gives you a consistent measure of 10-day volatility. Trend Status: Indicates confluence across the timeframes. "Trending" indicates that this pair is trending on both the higher and lower timeframes. If it displays "Check Trend," then there is a divergence across the timeframes.
Pine Script®指標
由FinancialGamblR提供
Surge Guru Core✨ Surge Guru Core — Your Ultimate Trading Intelligence Dashboard Transform your charts into a professional command center with Surge Guru Core, the all-in-one indicator that combines legendary technical analysis with cutting-edge correlation intelligence. 🌊 Multi-Layered Market Vision Ichimoku Cloud — Ancient wisdom meets modern precision. Navigate bullish and bearish zones with crystal-clear visual guidance EMA 200 — The institutional trend line that separates the strong from the weak Bollinger Middle Band — Your volatility compass for perfect entry timing 🔄 Intelligent Correlation & Hedging Assistant What sets Surge Guru apart? Real-time correlation tracking across multiple assets (BTC, ETH, SOL) with automated hedge signals. Know when to protect your gains and when to strike with confidence. 📊 Live Statistics Dashboard Instant trend direction analysis ATR volatility readings Smart hedge opportunity alerts (🔰 HEDGE / 🔄 REVERSAL) Multi-asset correlation matrix at a glance 💎 Crystal-Clear Price Action Elegant dotted price line keeps your focus where it matters — no chart clutter, just pure trading clarity. Perfect for crypto traders, swing traders, and risk-conscious investors who demand more than basic indicators. Surge Guru Core — Trade Smarter, Not Harder. www.Surge.Guru
Pine Script®指標
由SurgeGuru提供
1
多指标量化交易DIY- The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include: - Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode. - Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction. - Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels. - Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span. - TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts. - Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength. - ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds. - RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends. - Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles. - Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges. Confirmation Filters - Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples: - EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels. - 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment. - RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern. - RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories. - Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade. - VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts. - ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades. - Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup. - By combining several filters you can create strict, conservative entries or looser setups depending on your goals. Range Filter Engine - A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types: - Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges. - Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments. - The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation. Signal Construction - The script computes: - leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator. - longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition. - Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger. - Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset. - Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions. Visualization - Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”). - Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning. - Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals. - Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates. Inputs and Parameters - You control the indicator from a comprehensive input panel: - Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size). - Leading Indicator: Choose the primary signal generator from the large list. - Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior. - Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales. - Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes. Alerts and Automation - The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration. Typical Workflow - Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian. - Add a few key Confirmation Filters that complement the leading signal. For example: - Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum. - Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions. - Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough. - Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly. - Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed. - For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot. Strengths and Practical Notes - Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately. - Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code. - Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset. - Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean. - Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes. Limitations and Recommendations - No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically. - Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime. - Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy. - Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results. Example Configurations - Trend-Following Setup: - Leading: Supertrend uptrend for longs and downtrend for shorts. - Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA. - Expiry: 3–4 bars to keep entries timely. - Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity. - Mean-Reversion to Momentum Crossover: - Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short). - Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation. - Expiry: 2–3 bars for responsive re-entry. - Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes. - Range Breakout Focus: - Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts. - Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold. - Expiry: 1–3 bars to act on breakout windows. - Result: Better alignment to breakout dynamics, gating trades by volatility and regime. Conclusion - This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
Pine Script®策略
由saodisengSeven提供
Nifty Trendometer - Nifty 50 Live Tracker🚀 Nifty Trendometer — The Ultimate Live Market Tracker for the Nifty 50 🚀 🔍 One glance, total clarity. One tool, total control. The Nifty Trendometer is a next-generation TradingView indicator designed for serious traders and portfolio managers who want to see what institutions see. It merges advanced demand–supply analytics, live breadth monitoring, and macro stress signals — all in one clean, self-updating dashboard. 🧭 What It Does? Tracks Nifty 50 internals live: See how many of India’s top 30 stocks are gaining, losing, or collapsing beyond key thresholds. Identifies actionable demand and supply zones: The algorithm automatically scans for low-volume demand zones, supply imbalances, and high-volume consolidation clusters (HVNs) — letting you spot where smart money is active. Generates precision buy/sell decisions: Smart zone-touch detection coupled with real-time volume validation gives you high-confidence reversal or breakout signals — without repainting. Measures macro risk instantly: Integrated India VIX, USDINR, Bank Index, and Basis stress readings tell you when the market’s underlying engine is overheating or calming down. ⚡ Key Highlights ✅ Dynamic Zone Mapping — Automatically highlights fresh demand (green), supply (purple), and HVN (blue) regions as they form — no manual drawing needed. ✅ Smart Volume Logic — Detects price reactions backed by significant volume surges — confirming genuine breakouts, not noise. ✅ Crash & Rally Detector — A proprietary “Crash Probability” engine calculates live risk and momentum balance, showing how close the market is to tipping into panic or breakout. ✅ ORB & Gap Analysis — Monitors intraday open-range breakouts, gap fades, and continuation patterns with volatility confirmation. ✅ Macro Stress Dashboard — Instantly shows whether India’s market risk is local, global, or liquidity-driven — using DXY-relative INR movement, bank index health, and basis stress. ✅ Smart Alerts — Be notified automatically when the system detects:  • Crash Symptoms (Warning)  • Crash Confirmation (Crisis)  • Rally Watch  • Rally Start (Go Signal) 🧠 The Logic — Simplified The Trendometer combines the following: Volume profile geometry (for hidden demand/supply zones) Price reaction mapping (for confirmed reversals and rejections) Multi-factor stress scoring (VIX, currency, banks, basis, and breadth) Probability modeling (a smooth blend of seven risk dimensions, scaled to a live “Crash–Rally Probability” score) Everything updates tick-by-tick, producing a dynamic, data-driven market weather report. 📊 One Dashboard, Infinite Insight The indicator creates a compact, color-coded table on your TradingView chart showing: VIX % change USDINR strength (absolute or DXY-relative) Bank index trend Nifty breadth and depth (number of stocks down / deeply down) Basis stress (futures vs spot) ORB/gap behavior Overall crash or rally probability (e.g., “↓ 68% | ↑ 32%”) Visual cues instantly shift from green (safe) to orange (watch) to red (crisis) — no guessing required. 💡 Ideal For: Intraday traders seeking early directional bias confirmation Swing traders spotting reversals at demand/supply pivots Investors wanting macro stress signals before volatility spikes Quant-oriented analysts tracking multi-factor market health ⚙️ Plug-and-Trade Simplicity Just add the Nifty Trendometer to your TradingView chart and watch the market structure, sentiment, and institutional footprints reveal themselves in real time. No parameter tuning. No manual drawing. No data delays. 📈 Nifty Trendometer — When precision meets perspective. Because the best traders don’t predict — they measure the factors which affect the market.
Pine Script®指標
由jellygill提供
RSI Divergence Strategy v6 What this does Detects regular and hidden divergences between price and RSI using confirmed RSI pivots. Adds RSI@pivot entry gates, a normalized strength + volume filter, optional volume gate, delayed entries, and transparent risk management with rigid SL and activatable trailing. Visuals are throttled for clarity and include a gap-free horizontal RSI gradient. How it works (simple) 🧮 RSI is calculated on your selected source/period. 📌 RSI pivots are confirmed with left/right lookbacks (lbL/lbR). A pivot becomes final only after lbR bars; before that, it can move (expected). 🔎 The latest confirmed pivot is compared against the previous confirmed pivot within your bar window: • Regular Bullish = price lower low + RSI higher low • Hidden Bullish = price higher low + RSI lower low • Regular Bearish = price higher high + RSI lower high • Hidden Bearish = price lower high + RSI higher high 💪 Each divergence gets a strength score that multiplies price % change, RSI change, and a volume ratio (Volume SMA / Baseline Volume SMA). • Set Min divergence strength to filter tiny/noisy signals. • Turn on the volume gate to require volume ratio ≥ your threshold (e.g., 1.0). 🎯 RSI@pivot gating: • Longs only if RSI at the bullish pivot ≤ 30 (default). • Shorts only if RSI at the bearish pivot ≥ 70 (default). ⏱ Entry timing: • Immediate: on divergence confirm (delay = 0). • Delayed: after N bars if RSI is still valid. • RSI-only mode: ignore divergences; use RSI thresholds only. 🛡 Risk: • Rigid SL is placed from average entry. • Trailing activates only after unrealized gain ≥ threshold; it re-anchors on new highs (long) or new lows (short). What’s NEW here (vs. the reference) — and why you may care • Improved pivots + bar window → fewer early/misaligned signals; cleaner drawings. • RSI@pivot gates → entries aligned with true oversold/overbought at the exact decision bar. • Normalized strength + volume gate → ignore weak or low-volume divergences. • Delayed entries → require the signal to persist N bars if you want more confirmation. • Rigid SL + activatable trailing → trailing engages only after a cushion, so it’s less noisy. • Clutter control + gradient → readable chart with a smooth RSI band look. Suggested starting values (clear ranges) • RSI@pivot thresholds: LONG ≤ 30 (oversold), SHORT ≥ 70 (overbought). • Min divergence strength: 0.0 = off 3–6 = moderate filter 7–12 = strict filter for noisy LTFs • Volume gate (ratio): 1.0 = at least baseline volume 1.2–1.5 = strong-volume only (fewer but cleaner signals) • Pivot lookbacks: lbL 1–2, lbR 3–4 (raise lbR to confirm later and reduce noise) • Bar window (between pivots): Min 5–10, Max 30–60 (increase Min if you see micro-pivots; increase Max for wider structures) • Risk: Rigid SL 2–5% on liquid majors; 5–10% on higher-volatility symbols Trailing activation 1–3%, trailing 0.5–1.5% are common intraday starts Plain-text examples • BTCUSDT 1h → RSI 9, lbL 1, lbR 3, Min strength 5.0, Volume gate 1.0, SL 4.5%, Trail on 2.0%, Trail 1.0%. • SPY 15m → RSI 8, lbL 1, lbR 3, Min strength 7.0, Volume gate 1.2, SL 3.0%, Trail on 1.5%, Trail 0.8%. • EURUSD 4h → RSI 14, lbL 2, lbR 4, Min strength 4.0, Volume gate 1.0, SL 2.5%, Trail on 1.0%, Trail 0.5%. Notes & limitations • Pivot confirmation means the newest candidate pivot can move until lbR confirms it (expected). • Results vary by timeframe/symbol/settings; always forward-test. • Educational tool — no performance or profit claims. Credits • RSI by J. Welles Wilder Jr. (1978). • Reference divergence script by eemani123: • This version by tagstrading 2025 adds: improved pivot engine, RSI@pivot gating, normalized strength + optional volume gate, delayed entries, rigid SL and activatable trailing, and a gap-free RSI gradient.
Pine Script®策略
由TagsTrading提供
Multi-Timeframe Support & ResistanceThis indicator automatically plots dynamic support and resistance levels across multiple timeframes — including 1H, 4H, 1D, 1W, 1M, and the current chart timeframe. Each level is color-coded for clarity and extends across the chart to highlight key price zones. **Key Features:** - ⏱ Multi-timeframe analysis: 6 configurable timeframes - 🎨 Custom color and style settings for each timeframe - 📏 Adjustable number of levels per timeframe - 🧼 Clean chart layout with no duplicate lines - 🔄 Auto-refresh every 10 bars for up-to-date levels Support and resistance levels are calculated using historical high/low ranges and evenly distributed across the selected lookback period. This helps traders identify confluence zones, breakout targets, and reversal areas with precision.
Pine Script®指標
由poor_dev提供
Earnings Day - Price Predictor [DunesIsland]It's designed to analyze and visualize historical stock price movements on earnings report days, focusing on percentage changes. Here's a breakdown of what it does, step by step: Key Inputs and Setup User Input: There's a single input for "Lookback Years" (default: 10), which determines how far back in time (approximately) the indicator analyzes earnings data. It uses a rough calculation of milliseconds in that period to filter historical data. Data Fetching: It uses TradingView's request.earnings function to pull actual earnings per share (EPS) data for the current ticker. Earnings days are identified where EPS data exists on a bar but not on the previous one (to avoid duplicates). Price Change Calculation: For each detected earnings day, it computes the percentage price movement as (close - close ) / close * 100, representing the change from the previous close to the current close on that day. Processing and Calculations (on the Last Bar) Lookback Filter: It calculates a cutoff timestamp for the lookback period and processes only earnings events within that window. Overall Averages: Separates positive (≥0%) and negative (<0%) percentage changes. Seasonality (Next Quarter Prediction): Identifies the most recent earnings quarter (latest_q). Predicts the "next" quarter (e.g., if latest is Q4, next is Q1; Again, separates positive and negative changes, computing their respective averages. Visual Outputs Lookback: How far to fetch the data in years. Average Change (Green): Showing the average of all positive changes. Average Change (Red): Showing the average of all negative changes. Seasonality Change (Green): Showing the average of positive changes for the predicted next quarter. Seasonality Change (Red): Showing the average of negative changes for the predicted next quarter. Purpose and Usage This indicator helps traders assess a stock's historical reaction to earnings announcements. The overall averages give a broad sense of typical gains/losses, while the seasonality focuses on quarter-specific trends to "predict" potential movement for the upcoming earnings (based on past same-quarter performance). It's best used on daily charts for stocks with reliable earnings data. Note that quarter inference is calendar-based and may not perfectly match fiscal calendars for all companies—it's an approximation.
Pine Script®指標
由dunesisland提供
Ronin Ichimoku Analyzer ProA comprehensive trading indicator combining traditional Ichimoku Cloud analysis with MACD momentum confirmation and intelligent signal scoring. Designed for TradingView Pine Script v6, this tool provides automated verdict generation and real-time visual signals. 1. Ichimoku Cloud System Tenkan-sen: 9-period midpoint, short-term trend Kijun-sen: 26-period midpoint, main trend line Senkou Span A & B: Forward cloud, support/resistance Chikou Span: 26-period lag for confirmation Kumo Twist: Detects upcoming trend reversals 2. Multi-Indicator Confirmation TK Cross: Golden/Death cross with cloud context Cloud Position: Bullish (above), Bearish (below), Neutral (inside) Three-Line Agreement: Confirms price, TK, Chikou, cloud color MACD Check: Cross + histogram momentum strength 3. Verdict Engine Weighted signal scoring: Strong Bullish / Bullish / Neutral / Bearish / Strong Bearish Dead Zone: Price in cloud High Risk: Multiple warnings 4. Visual Signals Markers: ▲ Golden Cross, ▼ Death Cross, ☁️ Cloud breakouts, 🔄 Kumo twist alerts Dashboard: Color verdict (lime/red/orange), signal strength, cloud thickness, trading tips 5. Advanced Logic Flat-line detection (0.1% threshold over 5 bars) MACD momentum tracking (expand/contract/flat) Zero-division safety in calculations
Pine Script®指標
由Tesseract13提供
Advanced HMM - 3 States CompleteHidden Markov Model Aconsistent challenge for quantitative traders is the frequent behaviour modification of financial markets, often abruptly, due to changing periods of government policy, regulatory environment and other macroeconomic effects. Such periods are known as market regimes. Detecting such changes is a common, albeit difficult, process undertaken by quantitative market participants. These various regimes lead to adjustments of asset returns via shifts in their means, variances, autocorrelation and covariances. This impacts the effectiveness of time series methods that rely on stationarity. In particular it can lead to dynamically-varying correlation, excess kurtosis ("fat tails"), heteroskedasticity (volatility clustering) and skewed returns. There is a clear need to effectively detect these regimes. This aids optimal deployment of quantitative trading strategies and tuning the parameters within them. The modeling task then becomes an attempt to identify when a new regime has occurred adjusting strategy deployment, risk management and position sizing criteria accordingly. A principal method for carrying out regime detection is to use a statistical time series tech nique known as a Hidden Markov Model . These models are well-suited to the task since they involve inference on "hidden" generative processes via "noisy" indirect observations correlated to these processes. In this instance the hidden, or latent, process is the underlying regime state, while the asset returns are the indirect noisy observations that are influenced by these states. MAIN FEATURES OF THE INDICATOR The "Advanced HMM - 3 States Complete" indicator is an advanced technical analysis tool that uses Hidden Markov Model (HMM) to identify three main market regimes: BULL, BEAR, and SIDEWAYS. 🎯 KEY FEATURES: 1. HMM-based Trend Detection 3 market states: Bull (0), Bear (1), Sideways (2) Dynamic probabilities: Calculates probability for each state based on price data Transition matrix: Models state transitions between regimes 2. Analytical Features Price volatility: Log returns and standard deviation Momentum: Rate of Change (ROC) Volume: Volume ratio vs moving average Data normalization: Standardizes features to common scale 3. Visual Trading Signals text 📍 BUY Signals: - Green upward triangle below bars - "LONG" label in green 📍 SELL Signals: - Red downward triangle above bars - "SHORT" label in red 📍 EXIT Signals: - Orange X marks when transitioning to sideways 4. Information Display Probability table (top-right): Shows percentage for each state State label: Current regime with probability percentages Chart background color: Reflects dominant market state 5. Automated Alerts Alerts when new Bull/Bear market detected Alerts when market transitions to sideways Configurable TradingView notifications 6. Customizable Parameters pinescript length: 100 // Lookback period smoothing_period: 20 // Probability smoothing volatility_threshold: 0.5 // Volatility threshold 💡 PRACTICAL APPLICATIONS: Identify primary trends with quantified probabilities Entry/exit signals based on state transitions Risk management during sideways markets Trend confirmation when combined with other indicators This indicator is particularly useful for market regime analysis and identifying trend transition points using advanced statistical probability methods. 🔧 TECHNICAL IMPLEMENTATION: Composite observation: Weighted combination of returns (40%), momentum (30%), and volatility (30%) Gaussian emission probabilities: Different distributions for each state Manual HMM updates: Avoids matrix computation limitations in Pine Script Real-time smoothing: EMA applied to state probabilities The indicator provides institutional-grade regime detection in a visually intuitive package suitable for both discretionary and systematic traders.
Pine Script®指標
由Limitedterminator提供
Gunzo Trend Sniper For Loop🧠 Gunzo Trend Sniper For Loop — Adaptive Trend Momentum Framework The Gunzo Trend Sniper For Loop is a precision-built, adaptive trend analysis system designed to expose hidden trend strength, exhaustion points, and directional momentum within any market — from cryptocurrencies to equities and forex. At its core, this indicator integrates a loop-based comparative engine with a multi-type adaptive moving average filter, producing a highly responsive yet smooth measure of directional sentiment. ⚙️ Core Concept Gunzo Trend Sniper quantifies market bias by comparing the current smoothed weighted average of price to its historical values across a dynamic lookback window. Through this iterative “for loop” scoring process, the indicator tallies how many of the recent bars exhibit higher or lower values than the present one — forming a trend strength score that oscillates between bullish and bearish dominance. In essence: Positive score values indicate sustained upward bias — more candles recently closed below the current value. Negative or low score values signal downward pressure — suggesting that recent candles are outperforming the current value. 📊 Interpreting the Chart The indicator plots two complementary visuals: Gunzo Trend Score (Oscillator Panel) Green Zones (Above Upper Threshold) → Confirmed uptrend momentum and accumulation. Red Zones (Below Lower Threshold) → Confirmed downtrend pressure and potential distribution. Neutral Region (Between Thresholds) → Consolidation or transitional phases. Gunzo Trend Line (Overlay on Price Chart) The plotted line dynamically changes color: 🟩 Green: Confirmed bullish trend bias 🟥 Red: Confirmed bearish momentum ⚪ Gray: Neutral or indecisive period This color transition acts as a visual confirmation layer, aligning the oscillator’s internal score with price structure. 🔍 How to Use It 1. Trend Identification: When the oscillator consistently remains above the upper threshold, and the overlay line turns green, the market exhibits strong bullish continuation. Sustained readings below the lower threshold with a red overlay signal dominant bearish control. 2. Entry Confirmation: Combine this indicator with breakout or pullback setups. For example, enter long positions when: The oscillator crosses above the upper threshold from below, The overlay line flips from red to green, confirming new momentum. Short entries follow the inverse logic. 3. Divergence Detection: Price forming higher highs while the Gunzo Trend Score forms lower highs may hint at momentum exhaustion — signaling potential reversals. 4. Adaptive Thresholding: Adjust ThresholdL and ThresholdS to fit volatility. Tighter thresholds increase sensitivity (useful in lower timeframes). Wider thresholds filter out noise (ideal for daily or higher intervals). 🧭 Strategic Insights The Gunzo Trend Sniper is more than an oscillator — it’s a multi-dimensional market bias model. Its comparative logic captures how consistent recent directional strength has been, effectively quantifying trend persistence. This makes it especially valuable for: Momentum confirmation before breakouts. Avoiding false reversals during volatile consolidation phases. Detecting early trend slowdowns before major reversals. | Parameter | Description | | ------------------------------- | ------------------------------------------------------------------- | | `MA Type` | Selects the smoothing algorithm (SMA, EMA, SMMA, or WMA). | `MA Source` | Price input (default: OHLC4). | | `Gunzo Length` | Lookback for the moving average engine. | | `Smoothing Length` | Additional smoothing layer for refined signals. | | `From / To` | Defines the historical range for the scoring loop. | | `Threshold Uptrend / Downtrend` | Determines when a market is considered strongly bullish or bearish. | 💡 Pro Tips Combine with volume-based indicators or ATR filters for volatility-adjusted entries. Use in conjunction with higher timeframe confirmation — e.g., align the Gunzo Trend on 4H and 1D for stronger bias. Works exceptionally well with trend-following strategies, especially when paired with trailing stop systems.
Pine Script®指標
由QuantLapse提供
LANZ Origins🔷 LANZ Origins – Multi-Framework Liquidity, Structure & Risk Management Overlay LANZ Origins is an advanced multi-framework visualization toolkit that unifies key institutional concepts into one efficient interface. Designed for professional traders, it merges session mapping, liquidity analysis, imbalance detection, multi-account risk control, and higher-timeframe candle tracing — all in a single overlay. 🧩 Core Components 🈵 Asian Range Liquidity Automatically detects and projects the Asian session range (19:00–02:00 NY) with an optional mid-price line (50 %). This provides visual context for intraday liquidity and manipulation zones commonly referenced in ICT-style analysis. 📊 Imbalance Detector Highlights Fair Value Gaps (FVG), Opening Gaps (OG), and Volume Imbalances (VI) directly on-chart, using separate color schemes for bullish and bearish inefficiencies. Each element can be customized by width, ATR filter, and extension length. 🕯️ Higher-Timeframe Candles (ICT Style) Displays multi-timeframe candles (HTF1–HTF6) simultaneously — e.g., 5 m, 30 m, 1 h, 4 h, 1 D, 1 W — each rendered with independent wick, border, and fill settings. Includes remaining-time counters, timeframe labels, and optional imbalance shading between bodies. 📈 Market Structure (ZigZag 30 m) Replicates 30-minute swing structure to all active timeframes, producing dynamic pivots with live extension. Ideal for contextualizing BOS/CHoCH events across multiple scales. 💸 Multi-Account Lot Size Panel Calculates position size for up to five accounts simultaneously, using your defined capital, risk %, and fixed SL distance (in pips). Results appear in a clean table at the bottom-right corner of the chart. 🎨 Session Visualization Colored backgrounds mark key trading phases: 🟢 Day division 🔴 No-action zone 🔵 Kill-zone 🟡 Hold session ⚙️ Customization & Performance Every module can be toggled individually, with full color, opacity, and style control. The script is optimized for overlay use and supports up to 500 boxes, lines, and labels with efficient resource handling. 🧠 Best Use Case LANZ Origins is ideal for traders who follow: Smart Money Concepts / ICT methodology Liquidity & Imbalance-based trading Multi-timeframe confluence setups Risk-based position sizing workflows Use it to observe how price interacts with liquidity pools, higher-timeframe candles, and imbalances within key sessions — while monitoring lot size risk in real time. 📌 Recommended Setup Timeframes: 30m - 5m – 3m Pairs: FX Session Timezone: New York (EST/EDT) Combine with: LANZ Strategy series for execution and journaling 💬 Note This indicator does not generate buy/sell signals. It’s a visual and analytical tool built to support your own decision-making process.
Pine Script®指標
由rau_u_lanz提供
Multi-Entry Position SizerMulti-Entry Position Sizer (with Risk, Margin & Tables) This tool is designed for traders who manage multiple staggered entries (scaling in) with fixed risk allocation. It calculates position sizes, margin requirements, and liquidation levels for up to 5 custom entry points, based on a defined stop loss and wallet risk. 🔧 Features Entry Management Supports up to 5 entries. Use 0 to ignore an entry, -1 to auto-use current price. Valid entries are drawn as colored dashed lines. Invalid entries (e.g., entry on wrong side of stop loss) are flagged with red dotted lines and labels. Risk Control Risk defined in Direct USDT or % of wallet size. Risk automatically split across all valid entries. Per-entry quantity and margin calculated dynamically. Visualization Stop loss line in red. Liquidation levels drawn as faded dotted lines. Entry labels show price and required margin in USDT. Summary table (top-right) with symbol, side, risk, SL, leverage. Entries table (bottom-right) listing each valid entry with: Price Quantity Margin in USDT Risk/entry in USDT Liquidation level Alerts Alerts trigger when price touches a valid entry. Separate alert for stop loss hit. 📊 How to Use Select Side (Long or Short). Enter your Wallet Size, Risk Parameters, and Leverage. Define your Stop Loss Price. Configure up to 5 Entry Points. 0 = disabled -1 = current market price Any positive value = custom entry price Watch tables and chart update automatically: Invalid entries turn red (ignored in sizing). Valid entries show correct margin and liquidation prices. ✅ Who Is It For? Traders who scale in with multiple orders. Traders who want precise risk per trade. Anyone who needs to see margin requirements and liquidation prices before placing orders. ⚠️ Disclaimer: This script is for educational purposes. It does not place orders automatically and should not be considered financial advice. Always double-check calculations with your exchange before trading.
Pine Script®指標
由sanadsh提供
Metallic Retracement ToolI made a version of the Metallic Retracement script where instead of using automatic zig-zag detection, you get to place the points manually. When you add it to the chart, it prompts you to click on two points. These two points become your swing range, and the indicator calculates all the metallic retracement levels from there and plots them on your chart. You can drag the points around afterwards to adjust the range, or just add the indicator to the chart again to place a completely new set of points. The mathematical foundation is identical to the original Metallic Retracement indicator. You're still working with metallic means, which are the sequence of constants that generalize the golden ratio through the equation x² = kx + 1. When k equals 1, you get the golden ratio. When k equals 2, you get silver. Bronze is 3, and so on forever. Each metallic number generates its own set of retracement ratios by raising alpha to various negative powers, where alpha equals (k + sqrt(k² + 4)) / 2. The script algorithmically calculates these levels instead of hardcoding them, which means you can pick any metallic number you want and instantly get its complete retracement sequence. What's different here is the control. Automatic zig-zag detection is useful when you want the indicator to find swings for you, but sometimes you have a specific price range in mind that doesn't line up with what the zig-zag algorithm considers significant. Maybe you're analyzing a move that's still developing and hasn't triggered the zig-zag's reversal thresholds yet. Maybe you want to measure retracements from an arbitrary high to an arbitrary low that happened weeks apart with tons of noise in between. Manual placement lets you define exactly which two points matter for your analysis without fighting with sensitivity settings or waiting for confirmation. The interactive placement system uses TradingView's built-in drawing tools, so clicking the two points feels natural and works the same way as drawing a trendline or fibonacci retracement. First click sets your starting point, second click sets your ending point, and the indicator immediately calculates the range and draws all the metallic levels extending from whichever point you chose as the origin. If you picked a swing low and then a swing high, you get retracement levels projecting upward. If you went from high to low, they project downward. Moving the points after placement is as simple as grabbing one of them and dragging it to a new location. The retracement levels recalculate in real-time as you move the anchor points, which makes it easy to experiment with different range definitions and see how the levels shift. This is particularly useful when you're trying to figure out which swing points produce retracement levels that line up with other technical features like previous support or resistance zones. You can slide the points around until you find a configuration that makes sense for your analysis. Adding the indicator to the chart multiple times lets you compare different metallic means on the same price range, or analyze multiple ranges simultaneously with different metallic numbers. You could have golden ratio retracements on one major swing and silver ratio retracements on a smaller correction within that swing. Since each instance of the indicator is independent, you can mix and match metallic numbers and ranges however you want without one interfering with the other. The settings work the same way as the original script. You select which metallic number to use, control how many power ratios to display above and below the 1.0 level, and adjust how many complete retracement cycles you want drawn. The levels extend from your manually placed swing points just like they would from automatically detected pivots, showing you where price might react based on whichever metallic mean you've selected. What this version emphasizes is that retracement analysis is subjective in terms of which swing points you consider significant. Automatic detection algorithms make assumptions about what constitutes a meaningful reversal, but those assumptions don't always match your interpretation of the price action. By giving you manual control over point placement, this tool lets you apply metallic retracement concepts to exactly the price ranges you care about, without requiring those ranges to fit someone else's definition of a valid swing. You define the context, the indicator provides the mathematical framework.
Pine Script®指標
由The_Peaceful_Lizard提供
GainzAlgo Standard🧠 GainzAlgo Standard — Intelligent Multi-Filter Signal System GainzAlgo Standard is a non-repainting signal system that identifies potential market reversals with structured precision. It does this by combining four analytical layers—candlestick structure, volatility dynamics, RSI momentum confirmation, and short-term trend analysis—into a single, cohesive decision process. Unlike mashups that simply merge indicators, GainzAlgo integrates these components through conditional sequencing, where each layer must confirm the previous one before a signal is produced. This logical progression filters out noise and isolates high-probability reversal zones. 🔍 How It Works 1. Candlestick Reversal Detection The algorithm first identifies key reversal structures (e.g., bullish or bearish engulfing patterns). These mark initial signs of exhaustion in directional momentum. 2. Volatility & Range Validation Each detected candle is evaluated against a dynamically calculated volatility threshold. Only moves exceeding recent average true range or relative candle body strength are considered valid. This ensures weak or indecisive candles are excluded. 3. RSI Momentum Confirmation The algorithm checks whether the RSI supports the expected direction: ● Bullish setups require RSI recovery from below the mid-range (typically < 50). ● Bearish setups require RSI rejection from above mid-range (> 50). This momentum filter prevents counter-trend false positives. 4. 5-Bar Trend Context Filter Finally, GainzAlgo assesses short-term trend direction by comparing the slope and structure of the last five bars. Reversal signals are plotted only if the prior trend contradicts the new signal direction, confirming a genuine shift rather than minor consolidation noise. Each stage builds upon the previous one, forming a multi-layered validation pipeline. This design means a single noisy candle or RSI fluctuation cannot trigger a signal—only a consensus among volatility, structure, and momentum can. ⚙ Key Features ● ✅ Non-repainting: Signals are calculated and confirmed at bar close. ● 📊 Adaptive logic: Conditions automatically adjust to volatility changes. ● 🌍 Universal compatibility: Works across stocks, forex, crypto, indices, and commodities. ● ⏰ Multi-timeframe ready: Optimized for both intraday and swing analysis. ● 🎯 Signal clarity: Reduces noise through four-step confirmation logic. 📘 How to Use 1. Apply GainzAlgo Standard to your preferred chart and timeframe. 2. Wait for the plotted BUY (✅) or SELL (❌) labels. 3. Use these as confirmation or timing tools within your own strategy. 4. Always complement signals with independent risk management and higher-timeframe context. 💡 Originality & Concept While the underlying components—candlestick patterns, RSI, volatility measures—are familiar tools, GainzAlgo’s originality lies in its hierarchical sequencing and conditional logic. Instead of treating these indicators as parallel confirmations, GainzAlgo processes them in a defined order, where failure at any stage cancels the setup. This structured logic mimics discretionary decision-making used by professional traders, but automates it with strict, reproducible criteria. The result is a systematic reversal detector that improves clarity, reduces over-signaling, and adapts to multiple market conditions. 🔒 Vendor Justification GainzAlgo Standard is offered as an invite-only tool because it contains proprietary weighting and sequencing logic that determines which pattern and volatility interactions qualify as valid setups. This logic is not available in public indicators and is designed to help traders: ● Identify cleaner reversal opportunities with less chart clutter. ● Quantify signal confidence through layered confirmations. ● Apply consistent logic across markets without manual tuning. ⚠ Disclaimer: GainzAlgo Standard is an analytical tool for educational purposes. It does not guarantee trading results. Always use proper risk management.
Pine Script®指標
由GainzAlgo提供
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