Inizia

Indicatori e strategie

Name of tickerDescription: This indicator displays the instrument’s ticker symbol and the current chart timeframe at the top center of the chart. Features: • Shows the ticker (e.g., BTCUSDT, AAPL, etc.). • Displays the current timeframe (1m, 5m, 1H, 1D, etc.). • Positioned at the top center of the chart for easy reference. • Transparent background for minimal interference with price action. • Lightweight and simple, no extra settings required. Usage: • Works with any instrument: stocks, crypto, futures. • Useful for traders who want to always see the ticker and timeframe while analyzing the chart. Settings: • Text size can be adjusted in the script (text_size). • Text and background colors can be customized (text_color, bgcolor).
Indicatore Pine Script®
di Delonex
VWAP Retest + EMA9 Cross + Candle Pattern V2📈 VWAP Retest + EMA9 Cross + Candle Pattern Strategy_V2 Setup: This intraday momentum strategy combines 3 core elements: • VWAP Retest: Price retests VWAP within a small buffer zone • EMA9 Crossover: EMA9 crosses above VWAP within the last 3 bars • Bullish Candle Pattern: At least one bullish signal — Hammer, Engulfing, or Momentum candle A trade is triggered only during the US morning session (9:30–12:30 EST) and only if price is above yesterday’s high, suggesting strong momentum. ⚙️ Strategy Settings • Initial Capital: $100,000 • Position Sizing: 10% of equity per trade • Commission: 0.03% per trade • Slippage: 1 tick • Take Profit: +3% from entry • Stop Loss: 0.5% below VWAP at entry • Forced Exit: 1:00 PM EST 📊 Strategy Logic • VWAP Retest Filter ensures entry is near a value zone. • EMA9 Cross Confirmation aligns short-term momentum with volume-weighted price. • Bullish Candle Patterns provide price action confirmation: ○ ✅ Hammer ○ ✅ Bullish Engulfing ○ ✅ Large momentum body • Above Yesterday’s High (YH) acts as a bullish bias filter. 🧪 Backtest Results (Jan 2023 – Oct 2025) • Total Trades: 120 • Win Rate: 52.5% • Profit Factor: 1.18 • Max Drawdown: 1.22% • Net P&L: +$1,064 (+1.06%) Due to chart data limits, only part of the period may be visible on publication charts. 🔍 Chart Visuals This strategy plots: • VWAP (white) and EMA9 (orange) • Candle pattern markers: ○ “H” = Hammer ○ “BE” = Bullish Engulfing ○ “M” = Momentum Candle • “SETUP” label when all conditions are met • YH/YL labels for context — previous day’s high/low 💡 Use Case This setup is designed for intraday momentum scalping, ideal for traders who: • Trade morning breakouts • Use VWAP as a dynamic support/resistance • Want clear, rule-based entries based on both trend and price action Educational and research use - not financial advice.
Strategia Pine Script®
di lindittl
IIR One-Pole Price Filter [BackQuant]IIR One-Pole Price Filter A lightweight, mathematically grounded smoothing filter derived from signal processing theory, designed to denoise price data while maintaining minimal lag. It provides a refined alternative to the classic Exponential Moving Average (EMA) by directly controlling the filter’s responsiveness through three interchangeable alpha modes: EMA-Length , Half-Life , and Cutoff-Period . Concept overview An IIR (Infinite Impulse Response) filter is a type of recursive filter that blends current and past input values to produce a smooth, continuous output. The "one-pole" version is its simplest form, consisting of a single recursive feedback loop that exponentially decays older price information. This makes it both memory-efficient and responsive , ideal for traders seeking a precise balance between noise reduction and reaction speed. Unlike standard moving averages, the IIR filter can be tuned in physically meaningful terms (such as half-life or cutoff frequency) rather than just arbitrary periods. This allows the trader to think about responsiveness in the same way an engineer or physicist would interpret signal smoothing. Why use it Filters out market noise without introducing heavy lag like higher-order smoothers. Adapts to various trading speeds and time horizons by changing how alpha (responsiveness) is parameterized. Provides consistent and mathematically interpretable control of smoothing, suitable for both discretionary and algorithmic systems. Can serve as the core component in adaptive strategies, volatility normalization, or trend extraction pipelines. Alpha Modes Explained EMA-Length : Classic exponential decay with alpha = 2 / (L + 1). Equivalent to a standard EMA but exposed directly for fine control. Half-Life : Defines the number of bars it takes for the influence of a price input to decay by half. More intuitive for time-domain analysis. Cutoff-Period : Inspired by analog filter theory, defines the cutoff frequency (in bars) beyond which price oscillations are heavily attenuated. Lower periods = faster response. Formula in plain terms Each bar updates as: yₜ = yₜ₋₁ + alpha × (priceₜ − yₜ₋₁) Where alpha is the smoothing coefficient derived from your chosen mode. Smaller alpha → smoother but slower response. Larger alpha → faster but noisier response. Practical application Trend detection : When the filter line rises, momentum is positive; when it falls, momentum is negative. Signal timing : Use the crossover of the filter vs its previous value (or price) as an entry/exit condition. Noise suppression : Apply on volatile assets or lower timeframes to remove flicker from raw price data. Foundation for advanced filters : The one-pole IIR serves as a building block for multi-pole cascades, adaptive smoothers, and spectral filters. Customization options Alpha Scale : Multiplies the final alpha to fine-tune aggressiveness without changing the mode’s core math. Color Painting : Candles can be painted green/red by trend direction for visual clarity. Line Width & Transparency : Adjust the visual intensity to integrate cleanly with your charting style. Interpretation tips A smooth yet reactive line implies optimal tuning — minimal delay with reduced false flips. A sluggish line suggests alpha is too small (increase responsiveness). A noisy, twitchy line means alpha is too large (increase smoothing). Half-life tuning often feels more natural for aligning filter speed with price cycles or bar duration. Summary The IIR One-Pole Price Filter is a signal smoother that merges simplicity with mathematical rigor. Whether you’re filtering for entry signals, generating trend overlays, or constructing larger multi-stage systems, this filter delivers stability, clarity, and precision control over noise versus lag, an essential tool for any quantitative or systematic trading approach.
Indicatore Pine Script®
di BackQuant
Reversal Zones// This indicator identifies likely reversal zones above and below current price by aggregating multiple technical signals: // • Prior Day High/Low // • Opening Range (9:30–10:00) // • VWAP ±2 standard deviations // • 60‑minute Bollinger Bands // It draws shaded boxes for each base level, then computes a single upper/lower reversal zone (closest level from combined signals), // with configurable zone width based on the expected move (EM). Within those reversal zones, it highlights an inner “strike zone” // (percentage of the box) to suggest optimal short-option strikes for credit spreads or iron condors. // Additional features: // • Optional Expected Move lines from the RTH open // • 15‑minute RSI/Mean‑Reversion and Trend‑Day confluence flags displayed in a dashboard // • Toggles to include/exclude each signal and adjust styling // How to use: // 1. Adjust inputs to select which levels to include and set the expected move parameters. // 2. Reversal boxes (red above, green below) show zones where price is most likely to reverse. // 3. Inner strike zones (darker shading) guide optimal short-strike placement. // 4. Dashboard confirms whether mean-reversion or trend-day conditions are active. // Customize colors and visibility in the settings panel. Enjoy disciplined, confluence-based trade entries!
Indicatore Pine Script®
di shyTortoise84341
TOPIX Relative Strength vs Symbol + Volume Quality (JP)Overview Relative Strength vs Symbol + Volume Quality (JP) visualizes the relative performance (%) of a stock versus a chosen benchmark (e.g., TOPIX, Nikkei 225, or ETFs) while incorporating volume quality and momentum analysis. It calculates percentage-point differences between the target and benchmark, smooths them (EMA/SMA), and evaluates whether the strength is supported by quality volume flow. All data uses confirmed bars only (request.security() with confirmed values) to minimize repainting, and labels are drawn only on confirmed bars. What It Shows Relative Performance (%pt): Difference in rate of change between the stock and its benchmark. Above 0 → outperforming Below 0 → underperforming Trend Direction: Short-/mid-term trend from smoothed EMA/SMA. Volume Quality: Ratio of up-volume to down-volume, scaled from -1 to +1. Volume Momentum (Z-Score): Measures unusual surges in trading activity. Strength Detection: Combines price-based strength (relative or z-score) with volume quality and momentum filters. How to Use Set your comparison symbol (e.g., TSE:1306, TVC:NI225). Adjust lookback length and smoothing period/type to fit your analysis window. Enable “Confirm strength by volume quality” and/or “Use volume Z-score” to filter signals with supportive volume. Optionally, configure background thresholds to highlight extreme relative strength/weakness. Use Screener Mode to suppress visual outputs (table/labels) for performance in Pine Screener. Main Input Groups Comparison Settings: Benchmark symbol, calculation timeframe. Period & Smoothing: lookback, smoothLen, and MA type (EMA or SMA). Price Strength Detection: Enable Z-score mode and adjust zLen / zThresh. Volume Quality & Momentum: vqThresh (volume quality) and vZth (Z-score threshold). Display: Toggle histogram tint, background highlight, mini-table, and signal labels. Background Thresholds: Independent thresholds for histogram/MA lines and colors. Screener Output: Suppress visuals for screening use. Output & Coloring Histogram: Relative performance in %pt. Red = outperforming, Green = underperforming (intensity by magnitude). White Line (EMA/SMA): Rising with good volume quality → Red Rising but poor quality → Yellow Falling → White Background: Optional highlight when histogram/MA exceeds user thresholds. Counters: Hidden plots track how many bars have consecutively exceeded thresholds (usable in screeners). Alerts Strength Detection (Price + Volume): Triggered when price condition (MA > 0 or Z-score > threshold) and volume conditions are met. Weakness / Loss of Strength: Triggered on cross-under or when volume conditions fail. Labels: Optional, shown only on confirmed bars. Repaint Prevention All calculations use confirmed bar data only. Labels appear only when bars close. On lower timeframes, benchmark update delays may cause minor lag. Volume quality is derived from up/down bar classification, which can be distorted by gaps or illiquid markets. Avoid overfitting thresholds — values differ by asset and timeframe. Practical Applications Identify outperformance with supportive volume across sectors or themes. Use streak counters to find consistent relative winners or laggards. Compare stocks vs sector indices or ETFs to track rotation and momentum shifts. Disclaimer This script and its description are provided for educational and informational purposes only. They do not constitute financial advice or recommendations. Use at your own discretion, considering market risk, liquidity, and data limitations. This description follows TradingView’s House Rules (no promotion, plagiarism, or misleading claims). Publication Guidelines When publishing: Do not include promotional links or invitations. Do not copy text/code from other authors without permission. Screenshots should illustrate the script’s function only, not serve as marketing material. Maintain consistency of language (English only for this version). 概要 Relative Strength vs Symbol + Volume Quality (JP) は、対象銘柄と比較指標（例：TOPIX）との相対パフォーマンスを％ポイント差で算出し、平滑化線（EMA/SMA）とヒストグラムで可視化します。さらに、出来高を「質（上げ/下げボリュームのバランス）」と「勢い（Zスコア）」で評価し、価格×出来高の両面から“強さ/弱さ”を判定します。 リペイント抑制のため、request.security()は確定足を参照し、ラベル描画も確定時に限定しています。 何がわかるか 相対パフォーマンス（％pt）：対象と比較指標の騰落率差。0より上＝相対優位、下＝相対劣位。 平滑化トレンド：相対の短中期的な傾き（EMA/SMA）。 出来高の質：上昇バー出来高と下降バー出来高の比から -1〜+1 で評価。 出来高の勢い（Zスコア）：直近出来高の異常度。 強/弱シグナル：価格条件（基準越え・Z超え）に、出来高条件（質・勢い）を組み合わせて抽出。 使い方（基本手順） 比較対象を「比較シンボル」で指定（例：TSE:1306、TVC:NI225 等）。 「比較期間（バー数）」と「平滑化（期間/種類）」を調整し、相対の視点を合わせる。 出来高確認を使う場合は「出来高の質で“強さ”を確認」「出来高の勢い（Z）」をオンにし、閾値を調整。 背景ハイライトの**閾値（ヒスト/平均線別）**を設定すると、重要局面を一目で把握可能。 スクリーナー利用時は「スクリーナー用」をオンにして、テーブル/ラベルの描画を抑制。 主な入力項目 比較設定：比較シンボル、計算タイムフレーム。 期間・平滑化：比較期間lookback、平滑化長smoothLen、MA種別（EMA/SMA）。 強さ検出（価格）：Zスコア方式のオン/オフ、zLen、zThresh。 出来高の質・勢い：質の閾値vqThresh、勢いZの長さvZlenと閾値vZth。 表示：テーブル、背景、ヒスト濃淡、直近ラベルのON/OFF。 背景（閾値）：ヒスト/平均線の上下しきいと背景色。 スクリーナー出力：描画抑制トグル。 出力と色分け ヒストグラム：相対パフォーマンス（％pt）。プラス域は赤系、マイナス域は緑系で濃淡表示。 白線（実体は平滑化相対）：上向きかつ出来高質が閾値以上なら赤、上向きでも質不足なら黄、下降時は白。 背景色（任意）：設定したヒスト/平均線の閾値を超過/割れで自動着色。 カウンタ：ヒスト/平均線が各閾値を連続超過/連続割れした本数を、スクリーナーが取得できるよう非表示プロットで出力。 シグナル・アラート 強さ検出（価格+出来高）： 価格条件 … 平滑化線の0越え、またはZスコアがzThresh越え。 出来高条件 … 「質 ≥ vqThresh」「勢いZ ≥ vZth」（任意）。 条件一致で「強」アラート／喪失・未達で「弱」アラート。 ラベル（任意）：確定足でのみ出力。 リペイントと制約 request.security()は確定足データを用い、確定時ラベルのみ描画する設計です。 比較シンボルの更新周期・分足集計差により、短期足ではタイムラグが生じる場合があります。 出来高の「質」は上昇/下降バーの単純仕分けに依存するため、ギャップや出来高の歪みが強い市場では解釈に注意。 閾値は銘柄・期間で最適値が異なります。**過度な最適化（カーブフィット）**は避けてください。 （公開ガイドライン上も、明確で誤解を生む表現の回避が推奨されます。 TradingView ） 活用アイデア（例） 相対優位×出来高質の改善が同時に起きた局面を抽出。 連続超過カウントで、相対の“粘り”や“伸び”をスクリーニング。 指数だけでなく、業種ETFやセクター指数を比較軸にしてローテーション把握。 免責 本スクリプトおよび説明は情報提供・教育目的です。投資助言・勧誘ではありません。市場リスク、流動性、スリッページ、データ仕様に起因する差異等は利用者の自己責任でご確認ください。TradingViewのハウスルール（広告禁止・独自性・言語一致・わかりやすさ）および公開ルールに準拠する形で記述しています。
Indicatore Pine Script®
di OCTPLUS1
1
Liquidity Stress Index SOFR - IORBLiquidity Stress Index (SOFR - IORB) This indicator tracks the spread between the Secured Overnight Financing Rate (SOFR) and the Interest on Reserve Balances (IORB) set by the Federal Reserve. A persistently positive spread may indicate funding stress or liquidity shortages in the repo market, as it suggests overnight lending rates exceed the risk-free rate banks earn at the Fed. Useful for monitoring monetary policy transmission or market/liquidity stress.
Indicatore Pine Script®
di RichmondHillCM
Trend Following Reflectometry🧭 Trend Following Reflectometry (TFR) Author: Stef Jonker Version: Pine Script® v6 The Trend Following Reflectometry (TFR) indicator translates market behavior into the language of impedance and signal reflection theory, providing a unique way to measure trend strength, stability, and purity. 🧩 Summary Trend Following Reflectometry acts as a trend-quality meter, helping traders identify when a trend is strong, efficient, and worth following — or when the market is too noisy to trust. It blends physics-inspired logic with practical trading insight, offering both a directional oscillator and a trend stability filter in one tool. ⚙️ Concept Inspired by electrical impedance matching, this tool compares the market’s characteristic impedance (Z₀) — its natural volatility-to-price behavior — with the load impedance (Zₗ), representing current trend momentum. The interaction between these two produces a reflection coefficient (Gamma) and a VSWR ratio, which reveal how efficiently market trends are transmitting energy (moving smoothly) versus reflecting noise (becoming unstable). 📊 Core Components Z₀ (Characteristic Impedance): Market baseline, derived from ATR and SMA. Zₗ (Load Impedance): Trend momentum based on fast and slow EMAs. Γ (Gamma – Reflection Coefficient): Measures the mismatch between Z₀ and Zₗ. VSWR (Voltage Standing Wave Ratio): Quantifies trend purity — lower = cleaner trend. Impedance Oscillator: Combines momentum and reflection to produce directional bias. ⚡ Gamma & VSWR Interpretation Gamma (Γ) represents the reflection coefficient — how much of the market’s trend energy is being reflected instead of transmitted. When Gamma is low, the market trend is smooth and efficient, moving with little resistance. When Gamma is high, the market becomes unstable or overextended, signaling potential turbulence, exhaustion, or reversal pressure. VSWR (Voltage Standing Wave Ratio) measures trend purity — how clean or distorted the current trend is. A low VSWR indicates a well-aligned, steady trend that’s likely to continue smoothly. A high VSWR suggests an unbalanced or noisy market, where trends may struggle to sustain or could soon reverse. Together, Gamma and VSWR help identify how well the market’s current momentum aligns with its natural behavior — whether the trend is stable and efficient or reflecting instability beneath the surface.
Indicatore Pine Script®
di steffiejonko242
1
MESA Adaptive Ehlers Flow | AlphaNattMESA Adaptive Ehlers Flow | AlphaNatt An advanced adaptive indicator based on John Ehlers' MESA (Maximum Entropy Spectrum Analysis) algorithm that automatically adjusts to market cycles in real-time, providing superior trend identification with minimal lag across all market conditions. 🎯 What Makes This Indicator Revolutionary? Unlike traditional moving averages with fixed parameters, this indicator uses Hilbert Transform mathematics to detect the dominant market cycle and adapts its responsiveness accordingly: Automatically detects market cycles using advanced signal processing MAMA (MESA Adaptive Moving Average) adapts from fast to slow based on cycle phase FAMA (Following Adaptive Moving Average) provides confirmation signals Dynamic volatility bands that expand and contract with cycle detection Zero manual optimization required - the indicator tunes itself 📊 Core Components 1. MESA Adaptive Moving Average (MAMA) The MAMA is the crown jewel of adaptive indicators. It uses the Hilbert Transform to measure the market's dominant cycle and adjusts its smoothing factor in real-time: During trending phases: Responds quickly to capture moves During choppy phases: Smooths heavily to filter noise Transition is automatic and seamless based on price action Parameters: Fast Limit: Maximum responsiveness (default: 0.5) - how fast the indicator can adapt Slow Limit: Minimum responsiveness (default: 0.05) - maximum smoothing during consolidation 2. Following Adaptive Moving Average (FAMA) The FAMA is a slower version of MAMA that follows the primary signal. The relationship between MAMA and FAMA provides powerful trend confirmation: MAMA > FAMA: Bullish trend in progress MAMA < FAMA: Bearish trend in progress Crossovers signal potential trend changes 3. Hilbert Transform Cycle Detection The indicator employs sophisticated DSP (Digital Signal Processing) techniques: Detects the dominant cycle period (1.5 to 50 bars) Measures phase relationships in the price data Calculates adaptive alpha values based on cycle dynamics Continuously updates as market character changes ⚡ Key Features Adaptive Alpha Calculation The indicator's "intelligence" comes from its adaptive alpha: Alpha dynamically adjusts between Fast Limit and Slow Limit based on the rate of phase change in the market cycle. Rapid phase changes trigger faster adaptation, while stable cycles maintain smoother response. Dynamic Volatility Bands Unlike static bands, these adapt to both ATR volatility AND the current cycle state: Bands widen when the indicator detects fast adaptation (trending) Bands narrow during slow adaptation (consolidation) Band Multiplier controls overall width (default: 1.5) Provides context-aware support and resistance Intelligent Color Coding Cyan: Bullish regime (MAMA > FAMA and price > MAMA) Magenta: Bearish regime (MAMA < FAMA and price < MAMA) Gray: Neutral/transitional state 📈 Trading Strategies Trend Following Strategy The MESA indicator excels at identifying and riding strong trends while automatically reducing sensitivity during choppy periods. Entry Signals: Long: MAMA crosses above FAMA with price closing above MAMA Short: MAMA crosses below FAMA with price closing below MAMA Exit/Management: Exit longs when MAMA crosses below FAMA Exit shorts when MAMA crosses above FAMA Use dynamic bands as trailing stop references Mean Reversion Strategy When price extends beyond the dynamic bands during established trends, look for bounces back toward the MAMA line. Setup Conditions: Strong trend confirmed by MAMA/FAMA alignment Price touches or exceeds outer band Enter on first sign of reversal toward MAMA Target: Return to MAMA line or opposite band Cycle-Based Swing Trading The indicator's cycle detection makes it ideal for swing trading: Enter on MAMA/FAMA crossovers Hold through the detected cycle period Exit on counter-crossover or band extremes Works exceptionally well on 4H to Daily timeframes 🔬 Technical Background The Hilbert Transform The Hilbert Transform is a mathematical operation used in signal processing to extract instantaneous phase and frequency information from a signal. In trading applications: Separates trend from cycle components Identifies the dominant market cycle without curve-fitting Provides leading indicators of trend changes MESA Algorithm Components Smoothing: 4-bar weighted moving average for noise reduction Detrending: Removes linear price trend to isolate cycles InPhase & Quadrature: Orthogonal components for phase measurement Homodyne Discriminator: Calculates instantaneous period Adaptive Alpha: Converts period to smoothing factor MAMA/FAMA: Final adaptive moving averages ⚙️ Optimization Guide Fast Limit (0.1 - 0.9) Higher values (0.5-0.9): More responsive, better for volatile markets and lower timeframes Lower values (0.1-0.3): Smoother response, better for stable markets and higher timeframes Default 0.5: Balanced for most applications Slow Limit (0.01 - 0.1) Higher values (0.05-0.1): Less smoothing during consolidation, more signals Lower values (0.01-0.03): Heavy smoothing during chop, fewer but cleaner signals Default 0.05: Good noise filtering while maintaining responsiveness Band Multiplier (0.5 - 3.0) Adjust based on instrument volatility Backtest to find optimal value for your specific market 1.5 works well for most forex and equity indices Consider higher values (2.0-2.5) for cryptocurrencies 🎨 Visual Interpretation The gradient visualization shows probability zones around the MESA line: MESA line: The adaptive trend center Band expansion: Indicates strong cycle detection and trending Band contraction: Indicates consolidation or ranging market Color intensity: Shows confidence in trend direction 💡 Best Practices Let it adapt: Give the indicator 50+ bars to properly calibrate to the market Combine timeframes: Use higher timeframe MESA for trend bias, lower for entries Respect the bands: Price rarely stays outside bands for extended periods Watch for compression: Narrow bands often precede explosive moves Volume confirmation: Combine with volume for higher probability setups 📊 Optimal Timeframes 15m - 1H: Day trading with Fast Limit 0.6-0.8 4H - Daily: Swing trading with Fast Limit 0.4-0.6 (recommended) Weekly: Position trading with Fast Limit 0.2-0.4 ⚠️ Important Considerations The indicator needs time to "learn" the market - avoid trading the first 50 bars after applying Extreme gap events can temporarily disrupt cycle calculations Works best in markets with detectable cyclical behavior Less effective during news events or extreme volatility spikes Consider the detected cycle period for position holding times 🔍 What Makes MESA Superior? Compared to traditional indicators: vs. Fixed MAs: Automatically adjusts to market conditions instead of using one-size-fits-all parameters vs. Other Adaptive MAs: Uses true DSP mathematics rather than simple volatility adjustments vs. Manual Optimization: Continuously re-optimizes itself in real-time vs. Lagging Indicators: Hilbert Transform provides earlier trend change detection 🎓 Understanding Adaptation The magic of MESA is that it solves the eternal dilemma of technical analysis: be fast and get whipsawed in chop, or be smooth and miss the early move. MESA does both by detecting when to be fast and when to be smooth. Adaptation in Action: Strong trend starts → MESA quickly detects phase change → Fast Limit kicks in → Early entry Trend continues → Phase stabilizes → MESA maintains moderate speed → Smooth ride Consolidation begins → Phase changes slow → Slow Limit engages → Whipsaw avoidance 🚀 Advanced Applications Multi-timeframe confluence: Use MESA on 3 timeframes for high-probability setups Divergence detection: Watch for MAMA/price divergences at band extremes Cycle period analysis: The internal period calculation can guide position duration Band squeeze trading: Narrow bands + MAMA/FAMA cross = high-probability breakout Created by AlphaNatt - Based on John Ehlers' MESA research. For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
Indicatore Pine Script®
di AlphaNatt
1
Alerts Killzones + PD/WL/ML Levels (No Labels)This indicator automatically highlights the London and New York killzones and triggers alerts at key price levels — without adding any labels or text clutter to the chart. Features: Highlights London (10:00–13:00) and New York (15:00–17:00) sessions (GMT+3, Romania). Draws and updates key levels automatically: PDH / PDL – Previous Day High & Low WH / WL – Previous Week High & Low MH / ML – Previous Month High & Low Alerts when price touches any of these levels. Alerts at session opens and closes for both London and New York. Clean interface – no labels or extra markers on chart. Ideal for: Traders who follow ICT concepts, session-based setups, or liquidity sweeps and want precise alerts without chart noise.
Indicatore Pine Script®
di danutz3llu
Arnaud Legoux Gaussian Flow | AlphaNattArnaud Legoux Gaussian Flow | AlphaNatt A sophisticated trend-following and mean-reversion indicator that combines the power of the Arnaud Legoux Moving Average (ALMA) with advanced Gaussian distribution analysis to identify high-probability trading opportunities. 🎯 What Makes This Indicator Unique? This indicator goes beyond traditional moving averages by incorporating Gaussian mathematics at multiple levels: ALMA uses Gaussian distribution for superior price smoothing with minimal lag Dynamic envelopes based on Gaussian probability zones Multi-layer gradient visualization showing probability density Adaptive envelope modes that respond to market conditions 📊 Core Components 1. Arnaud Legoux Moving Average (ALMA) The ALMA is a highly responsive moving average that uses Gaussian distribution to weight price data. Unlike simple moving averages, ALMA can be fine-tuned to balance responsiveness and smoothness through three key parameters: ALMA Period: Controls the lookback window (default: 21) Gaussian Offset: Shifts the Gaussian curve to adjust lag vs. responsiveness (default: 0.85) Gaussian Sigma: Controls the width of the Gaussian distribution (default: 6.0) 2. Gaussian Envelope System The indicator features three envelope calculation modes: Fixed Mode: Uses ATR-based fixed width for consistent envelope sizing Adaptive Mode: Dynamically adjusts based on price acceleration and volatility Hybrid Mode: Combines ATR and standard deviation for balanced adaptation The envelopes represent statistical probability zones. Price moving beyond these zones suggests potential mean reversion opportunities. 3. Momentum-Adjusted Envelopes The envelope width automatically expands during strong trends and contracts during consolidation, providing context-aware support and resistance levels. ⚡ Key Features Multi-Layer Gradient Visualization The indicator displays 10 gradient layers between the ALMA and envelope boundaries, creating a visual "heat map" of probability density. This helps traders quickly assess: Distance from the mean Potential support/resistance strength Overbought/oversold conditions in context Dynamic Color Coding Cyan gradient: Price below ALMA (bullish zone) Magenta gradient: Price above ALMA (bearish zone) The ALMA line itself changes color based on price position Trend Regime Detection The indicator automatically identifies market regimes: Strong Uptrend: Trend strength > 0.5% with price above ALMA Strong Downtrend: Trend strength < -0.5% with price below ALMA Weak trends and ranging conditions 📈 Trading Strategies Mean Reversion Strategy Look for price entering the extreme Gaussian zones (beyond 95% of envelope width) when trend strength is moderate. These represent statistical extremes where mean reversion is probable. Signals: Long: Price in lower Gaussian zone with trend strength > -0.5% Short: Price in upper Gaussian zone with trend strength < 0.5% Trend Continuation Strategy Enter when price crosses the ALMA during confirmed strong trend conditions, riding momentum while using the envelope as a trailing stop reference. Signals: Long: Price crosses above ALMA during strong uptrend Short: Price crosses below ALMA during strong downtrend 🎨 Visualization Guide The gradient layers create a "probability cloud" around the ALMA: Darker shades (near ALMA): High probability zone - price tends to stay here Lighter shades (near envelope edges): Lower probability - potential reversal zones Price at envelope extremes: Statistical outliers - strongest mean reversion setups ⚙️ Customization Options ALMA Parameters Adjust period for different timeframes (lower for day trading, higher for swing trading) Modify offset to tune responsiveness vs. smoothness Change sigma to control distribution width Envelope Configuration Choose envelope mode based on market characteristics Adjust multiplier to match instrument volatility Modify gradient depth for visual preference (5-15 layers) Signal Enhancement Momentum Length: Lookback for trend strength calculation Signal Smoothing: Additional EMA smoothing to reduce noise 🔔 Built-in Alerts The indicator includes six pre-configured alert conditions: ALMA Trend Long - Price crosses above ALMA in strong uptrend ALMA Trend Short - Price crosses below ALMA in strong downtrend Mean Reversion Long - Price enters lower Gaussian zone Mean Reversion Short - Price enters upper Gaussian zone Strong Uptrend Detected - Momentum confirms strong bullish regime Strong Downtrend Detected - Momentum confirms strong bearish regime 💡 Best Practices Use on clean, liquid markets with consistent volatility Combine with volume analysis for confirmation Adjust envelope multiplier based on backtesting for your specific instrument Higher timeframes (4H+) generally provide more reliable signals Use adaptive mode for trending markets, hybrid for mixed conditions ⚠️ Important Notes This indicator works best in markets with normal price distribution Extreme news events can invalidate Gaussian assumptions temporarily Always use proper risk management - no indicator is perfect Backtest parameters on your specific instrument and timeframe 🔬 Technical Background The Arnaud Legoux Moving Average was developed to solve the classic dilemma of moving averages: the trade-off between lag and noise. By applying Gaussian distribution weighting, ALMA achieves superior smoothing while maintaining responsiveness to price changes. The envelope system extends this concept by creating probability zones based on volatility and momentum, effectively mapping where price is "likely" vs "unlikely" to be found based on statistical principles. Created by AlphaNatt - For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
Indicatore Pine Script®
di AlphaNatt
1
Hello Crypto! Modern Combo Snapshot Unified long/short analyzer blending EMA structure, SuperTrend, WaveTrend, QQE, and volume pressure. Background shading flags “watch” and “ready” states; optional long/short modules let you focus on one side. Alerts fire when every checklist item aligns, while the side-panel table summarizes trend, momentum, liquidity, and overall score in real time. Indicator → Trend Analysis Indicator → Momentum Oscillators Indicator → Volume Indicators Tags: cryptocurrency, bitcoin, altcoins, trend-following, momentum, volume, ema, supertrend, intraday, swing-trading, alerts, checklist, trading-strategy, risk-management
Indicatore Pine Script®
di webmacho
Asia & London Session High/Low – EOD Segments (v4.5)What it does Plots the Asia and London session high & low each day. When a session ends, its high/low are locked (non-repainting) and drawn as horizontal segments that auto-extend to the end of that same day (no infinite rays). Optional labels show the exact level at session close. Toggle whether to keep prior days on the chart or auto-clear them on the first bar of a new day. Why traders use it Quickly see overnight liquidity levels that often act as magnets or barriers during the U.S. session. Map session range extremes for breakout/reversal planning, partials, and invalidation. Works great alongside VWAP, 8/20/200 MAs, or your NY session tools to build confluence. How it works You define the session windows (defaults: Asia 00:00–06:00, London 07:00–11:00). While a session is active, the script tracks running high/low. On the bar after the session ends, the level is finalized and drawn; the segment’s right edge updates each bar until EOD, then stops automatically. Inputs Session Timezone: “Exchange”, UTC, or a specific region (set this to match your venue). Asia / London Session: editable HHMM-HHMM windows. Show Asia / Show London: enable either/both sessions. Keep history: keep or auto-delete previous days. Show labels: price labels at session close. Colors & width: customize high/low colors and line width. Best practices Use on intraday timeframes (1–60m). For equities/futures, set timezone to your exchange (e.g., America/New_York). For FX/crypto, pick what matches your workflow. Common tweak: London 08:00–12:00 local; Asia 00:00–05:00 or your broker’s definition. Notes Non-repainting: levels only print once the session is complete. Designed to be light and reliable—no boxes, just clean lines and labels. If you want NY session levels, midlines (50%), anchored stop-time, or alerts on touches, this script can be extended. For educational use only. Not financial advice.
Indicatore Pine Script®
di tuckergarrett84
RVI Divergence Detector with Custom SMA Filter (v6)This script enhances the classic Relative Vigor Index (RVI) by integrating divergence detection with a user-configurable SMA filter applied directly to the RVI oscillator. The goal is to help traders identify high-probability reversal and continuation signals by combining momentum analysis with dynamic baseline filtering. How it works: - The RVI measures the conviction behind price moves by comparing closing vs. opening prices relative to the high-low range over a 10-period window. - Divergences are detected when price makes a new high/low but the RVI does not: - Regular Bullish: Price makes a lower low, RVI makes a higher low → potential reversal up. - Hidden Bullish: Price makes a higher low, RVI makes a lower low → trend continuation. - Inverse logic applies for bearish cases. - A customizable SMA (default: 14 periods) is plotted on the RVI line. This acts as a dynamic reference to assess whether divergences occur in strong momentum zones (far from SMA) or neutral zones (near SMA), helping filter out weaker signals. - Users can adjust: - Pivot lookback range (min/max bars) - SMA period (1–200) - Visibility of bullish/bearish and hidden/regular divergences Why this version adds value: Unlike basic RVI scripts, this adaptation introduces a configurable trend filter (SMA) and clear visual labeling ("D" for regular, "H" for hidden) with colored lines (green/red) connecting oscillator and price pivots—making divergences instantly recognizable. The logic is optimized for both scalping (short SMA) and swing trading (longer SMA). Credits: Based on the original RVI divergence concept by madoqa. This is an open-source adaptation under the Mozilla Public License 2.0. No financial advice. Use at your own risk.
Indicatore Pine Script®
di CARLOSVIZCARRA17
The Vishnu Zone Ver 2 by Dr. Sudhir Khollam## 📜 **The Vishnu Zone — Trade When the Brahma Zone Ends** **Author:** Dr. Sudhir Khollam (SALSA© Method of Astrology & Market Psychology) **Category:** Volatility Phase Detection / Bollinger Band Expansion Analysis --- ### 🔶 **Concept Overview** In the **SALSA© Market Philosophy**, every market phase follows a cosmic rhythm — * **Brahma Phase** represents *creation and expansion* (high volatility and strong directional movement). * **Vishnu Phase** represents *maintenance and stability* (where expansion cools down and balanced opportunities appear). **“The Vishnu Zone”** indicator identifies the exact moments when the **Brahma Phase ends** — signaling that the expansion has completed and the market is likely to enter a more stable, tradable state. This is a **precision-timing indicator** that helps traders avoid entering at the end of impulsive phases and instead prepare for equilibrium-based trades (mean reversion, range setups, or steady trends). --- ### ⚙️ **How It Works** The indicator measures **Bollinger Band Width (BBW)** to quantify expansion and contraction in volatility. 1. It calculates the **adaptive expansion threshold** using the average BBW over a rolling lookback period. 2. When the current BBW **drops below** this adaptive threshold **after being above it**, the script marks it as the **end of the Brahma Phase**. 3. This moment is shown visually as: * 🕉 **“Vishnu” label** above the candle * A **horizontal dotted line** extending for several bars Together, these mark a **Vishnu Zone**, where the market transitions from expansion to consolidation — an ideal time for stabilization or entry planning. --- ### 📊 **Inputs & Settings** | Parameter | Description | | ---------------------------------- | ------------------------------------------------------------------------------ | | **Bollinger Band Length** | The number of bars used for SMA and standard deviation (default 20). | | **Bollinger Multiplier** | Determines the width of Bollinger Bands (default 2.0). | | **Adaptive Lookback Period** | Rolling window to calculate the mean BBW for dynamic adjustment (default 150). | | **Expansion Multiplier** | Multiplies the mean BBW to define the expansion threshold (default 1.35). | | **Horizontal Line Extension Bars** | Number of bars to extend the Vishnu Zone line into the future (default 40). | | **Show End-of-Brahma Labels?** | Toggle 🕉 labels on/off. | | **Show Horizontal Lines?** | Toggle Vishnu Zone lines on/off. | --- ### 🔔 **Alerts** When the **Brahma Phase ends**, the indicator triggers an alert: > *“Brahma Phase Ends, Vishnu has taken over.”* This helps traders receive real-time notification of volatility contraction and possible entry zones. --- ### 🧠 **Best Practices** * Works effectively on **5-minute to 1-hour timeframes** for intraday trading. * Best paired with **momentum or volume filters** to confirm trend exhaustion. * Avoid entering during rapid expansion (Brahma phase). Wait for a Vishnu signal to ensure market stabilization. --- ### 🌌 **Philosophical Interpretation (SALSA© Principle)** Just as Vishnu sustains the universe after Brahma’s creation, the market too enters a **maintenance phase** after every burst of expansion. Recognizing this shift allows traders to align with **cosmic rhythm and price psychology**, not just technical metrics. --- ### 🧩 **Summary** ✅ Detects when expansion volatility ends ✅ Marks transition zones between impulsive and stable phases ✅ Sends real-time alerts ✅ Adaptive and self-adjusting across markets and assets ✅ Simple, clean visualization — ideal for disciplined trading --- ### ⚡ **Use Case** Perfect for traders who: * Prefer **low-risk entries** after volatility spikes * Trade **mean reversion**, **range breakouts**, or **volatility collapses** * Believe in the **cyclic nature of market energy** ---
Indicatore Pine Script®
di SudhirKhollam
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.
Strategia Pine Script®
di TagsTrading