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Volatilite

kira 3 mins scalp3-min Strict Scalping HA + PSAR + RSI + 1:2 RR Purpose: 3-minute scalping using Heikin Ashi candles, Parabolic SAR, and RSI with strict entry rules and automatic 1:2 risk:reward. Logic: Entry: 3rd consecutive HA candle with no wick (bullish for buy, bearish for sell) Filters: Buy: PSAR below candle + RSI > 50 Sell: PSAR above candle + RSI < 50 SL & TP: Buy SL: lowest low of last 3 candles Buy TP: entry + 2×(entry−SL) Sell SL: highest high of last 3 candles Sell TP: entry − 2×(SL−entry) Signals: Triangles plotted on chart; alerts available Use: Apply on 3-min chart. Enter on 3rd candle meeting conditions; follow SL/TP for 1:2 RR.
Pine Script® göstergesi
kirainvestors tarafından
ES-VIX Daily Price Bands - Inner bandsES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Low + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily High - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's extremes. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's low Lower band (red) contracts from the current day's high Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Shaded zone between bands for visual clarity Information table displaying: Current ES price and VIX level Running daily high and low Current upper and lower band values
Pine Script® göstergesi
alanjeremiebarbe tarafından
ES-VIX Daily Price BandsES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Low + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily High - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's extremes. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's low Lower band (red) contracts from the current day's high Shaded zone between bands for visual clarity Information table displaying: Current ES price and VIX level Running daily high and low Current upper and lower band values
Pine Script® göstergesi
alanjeremiebarbe tarafından
Average True Range (ATR)Strategy Name: ATR Trend-Following System with Volatility Filter & Dynamic Risk Management Short Name: ATR Pro Trend System Current Version: 2025 Edition (fully tested and optimized)Core ConceptA clean, robust, and highly profitable trend-following strategy that only trades when three strict conditions are met simultaneously:Clear trend direction (price above/below EMA 50) Confirmed trend strength and trailing stop (SuperTrend) Sufficient market volatility (current ATR(14) > its 50-period average) This combination ensures the strategy stays out of choppy, low-volatility ranges and only enters during high-probability, trending moves with real momentum.Key Features & ComponentsComponent Function Default Settings EMA 50 Primary trend filter 50-period exponential SuperTrend Dynamic trailing stop + secondary trend confirmation Period 10, Multiplier 3.0 ATR(14) with RMA True volatility measurement (Wilder’s original method) Length 14 50-period SMA of ATR Volatility filter – only trade when current ATR > average ATR Length 50 Background coloring Visual position status: light green = long, light red = short, white = flat – Entry markers Green/red triangles at the exact entry bar – Dynamic position sizing Fixed-fractional risk: exactly 1% of equity per trade 1.00% risk Stop distance 2.5 × ATR(14) – fully adaptive to current volatility Multiplier 2.5 Entry RulesLong: Close > EMA 50 AND SuperTrend bullish AND ATR(14) > SMA(ATR,50) Short: Close < EMA 50 AND SuperTrend bearish AND ATR(14) > SMA(ATR,50) Exit RulesPosition is closed automatically when SuperTrend flips direction (acts as volatility-adjusted trailing stop). Money ManagementRisk per trade: exactly 1% of current account equity Position size is recalculated on every new entry based on current ATR Automatically scales up in strong trends, scales down in low-volatility regimes Performance Highlights (2015–Nov 2025, real backtests)CAGR: 22–50% depending on market Max Drawdown: 18–28% Profit Factor: 1.89–2.44 Win Rate: 57–62% Average holding time: 10–25 days (daily timeframe) Best Markets & TimeframesExcellent on: Bitcoin, S&P 500, Nasdaq-100, DAX, Gold, major Forex pairs Recommended timeframes: 4H, Daily, Weekly (Daily is the sweet spot)
Pine Script® göstergesi
Semtex76 tarafından
ES-VIX Expected Move - Open basedES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current ES price and VIX level Daily Open Expected move
Pine Script® göstergesi
alanjeremiebarbe tarafından
Regime MapRegime Map — Volatility State Detector This indicator is a PineScript friendly approximation of a more advanced Python regime-analysis engine. The original backed identifies market regimes using structural break detection, Hidden-Markov Models, wavelet decomposition, and long-horizon volatility clustering. Since Pine Script cannot execute these statistical models directly, this version implements a lightweight, real-time proxy using realised volatility and statistical thresholds. The purpose is to provide a clear visual map of evolving volatility conditions without requiring any heavy offline computation. ________________________________________ Mathematical Basis: Python vs Pine 1. Volatility Estimation Python (Realised Volatility): RVₜ = √N × stdev( log(Pₜ) − log(Pₜ₋₁) ) Pine Approximation: RVₜ = stdev( log(Pₜ) − log(Pₜ₋₁), lookback ) Rationale: Realised volatility captures volatility clustering — a key characteristic of regime transitions. ________________________________________ 2. Regime Classification Python (HMM Volatility States): Volatility is modelled as belonging to hidden states with different means and variances: State μ₁, σ₁ State μ₂, σ₂ State μ₃, σ₃ with state transitions determined by a probability matrix. Pine Approximation (Z-Score Regimes): Zₜ = ( RVₜ − mean(RV) ) / stdev(RV) Regime assignment: • Regime 0 (Low Vol): Zₜ < Zₗₒw • Regime 1 (Normal): Zₗₒw ≤ Zₜ ≤ Zₕᵢgh • Regime 2 (High Vol): Zₜ > Zₕᵢgh Rationale: Z-scores provide clean statistical boundaries that behave similarly to HMM state separation but are computable in real time. ________________________________________ 3. Structural Break Detection vs Rolling Windows Python (Bai–Perron Structural Breaks): Segments the volatility series into periods with distinct statistical properties by minimising squared error over multiple regimes. Pine Approximation: Rolling mean and rolling standard deviation of volatility over a long window. Rationale: When structural breaks are not available, long-window smoothing approximates slow regime changes effectively. ________________________________________ 4. Multi-Scale Cycles Python (Wavelet Decomposition): Volatility decomposed into long-cycle (A₄) and short-cycle components (D bands). Pine Approximation: Single-scale smoothing using long-horizon averages of RV. Rationale: Wavelets reveal multi-frequency behaviour; Pine captures the dominant low-frequency component. ________________________________________ Indicator Output The background colour reflects the active volatility regime: • Low Volatility (Green): trending behaviour, cleaner directional movement • Normal Volatility (Yellow): balanced environment • High Volatility (Red): sharp swings, traps, mean-reversion phases Regime labels appear on the chart, with a status panel displaying the current regime. ________________________________________ Operational Logic 1. Compute log returns 2. Calculate short-horizon realised volatility 3. Compute long-horizon mean and standard deviation 4. Derive volatility Z-score 5. Assign regime classification 6. Update background colour and labels This provides a stable, real-time map of market state transitions. ________________________________________ Practical Applications Intraday Trading • Low-volatility regimes favour trend and breakout continuation • High-volatility regimes favour mean reversion and wide stop placement Swing Trading • Compression phases often precede multi-day trending moves • Volatility expansions accompany distribution or panic events Risk Management • Enables volatility-adjusted position sizing • Helps avoid leverage during expansion regimes ________________________________________ Notes • Does not repaint • Fully configurable thresholds and lookbacks • Works across indices, stocks, FX, crypto • Designed for real-time volatility regime identification ________________________________________ Disclaimer This script is intended solely for educational and research purposes. It does not constitute financial advice or a recommendation to buy or sell any instrument. Trading involves risk, and past volatility patterns do not guarantee future outcomes. Users are responsible for their own trading decisions, and the author assumes no liability for financial loss.
Pine Script® göstergesi
NeuralMarkets tarafından
MFM - Light Context HUD (Free)Overview MFM Light Context HUD is the free version of the Market Framework Model. It gives you a fast and clean view of the current market regime and phase without signals or chart noise. The HUD shows whether the asset is in a bullish or bearish environment and whether it is in a volatile, compression, drift, or neutral phase. This helps you read structure at a glance. Asset availability The free version works only on a selected list of five assets. Supported symbols are SP:SPX TVC:GOLD BINANCE:BTCUSD BINANCE:ETHUSDT OANDA:EURUSD All other assets show a context banner only. How it works The free version uses fixed settings based on the original MFM model. It calculates the regime using a higher timeframe RSI ratio and identifies the current phase using simplified momentum conditions. The chart stays clean. Only a small HUD appears in the top corner. Full visual phases, ratio logic, signals, and auto tune are part of the paid version. The free version shows the phase name only. It does not display colored phase zones on the chart. Phase meaning The Market Framework Model uses four structural phases to describe how the market behaves. These are not signals but context layers that show the underlying environment. Volatile (Phase 1) The market is in a fast, unstable or directional environment. Price can move aggressively with stronger momentum swings. Compression (Phase 2) The market is in a contracting state. Momentum slows and volatility decreases. This phase often appears before expansion, but it does not predict direction. Drift (Phase 3) The market moves in a more controlled, persistent manner. Trends are cleaner and volatility is lower compared to volatile phases. No phase No clear structural condition is active. These phases describe market structure, not trade entries. They help you understand the conditions you are trading in. Cross asset context The Market Framework Model reads markets as a multi layer system. The full version includes cross asset analysis to show whether the asset is acting as a leader or lagger relative to its benchmark. The free version uses the same internal benchmark logic for regime detection but does not display the cross asset layer on the chart. Cross asset structure is a core part of the MFM model and is fully available in the paid version. Included in this free version Higher timeframe regime Current phase name Clean chart output Context only Works on a selected set of assets Not included No forecast signals No ratio leader or lagger logic No MRM zones No MPF timing No auto tune The full version contains all features of the complete MFM model. Full version You can find the full indicator here: payhip.com More information Model details and documentation: mfm.inratios.com Disclaimer The Market Framework Model (MFM) and all related materials are provided for educational and informational purposes only. Nothing in this publication, the indicator, or any associated charts should be interpreted as financial advice, investment recommendations, or trading signals. All examples, visualizations, and backtests are illustrative and based on historical data. They do not guarantee or imply any future performance. Financial markets involve risk, including the potential loss of capital, and users remain fully responsible for their own decisions. The author and Inratios© make no representations or warranties regarding the accuracy, completeness, or reliability of the information provided. MFM describes structural market context only and should not be used as the sole basis for trading or investment actions. By using the MFM indicator or any related insights, you agree to these terms. © 2025 Inratios. Market Framework Model (MFM) is protected via i-Depot (BOIP) – Ref. 155670. No financial advice.
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Inratios tarafından
2t's MA 50, MA 150, ATRThis indicator displays three key technical signals on the chart: SMA 50 – Short-term trend direction SMA 150 – Medium-term trend direction ATR – Market volatility (Average True Range) Line colors and lengths can be customized in the settings. The ATR is plotted on the same chart for quick volatility reference without needing a separate panel. This tool is designed for traders who want a clean, lightweight view of trend strength and volatility in a single indicator.
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matan2t tarafından
@Complete Squeeze Cycle Detector v2.0 FINALDescription: The Complete Squeeze Cycle Detector identifies and tracks the full lifecycle of squeeze formations, from pre-squeeze consolidation through active squeeze periods to squeeze completion. The indicator systematically detects the characteristic conditions that precede and accompany squeeze events. The indicator monitors multiple factors associated with squeeze development including: • Volatility compression relative to recent volume activity • Elevated market stress conditions as measured by VIX levels • Momentum compression through rate of change measurements across multiple time periods • Alignment of multiple exponential moving averages indicating consolidation The squeeze cycle is classified into three distinct phases: Pre-Squeeze Setup, Active Squeeze, and Squeeze Complete. Each phase is identified based on threshold levels of multiple compression metrics, with adjustable sensitivity settings to control the strictness of detection. The indicator provides visual identification of each phase through labels, background coloring, and an optional dashboard, allowing users to distinguish between the preparation phase where volatility contracts, the active squeeze phase where compression reaches critical levels, and the completion phase where the squeeze releases and directional movement resumes. This systematic approach enables users to identify squeeze formations throughout their complete development cycle rather than focusing only on the breakout phase.
Pine Script® göstergesi
Timmy741 tarafından
ES-VIX Expected Daily MoveThis indicator calculates the expected daily price movement for ES futures based on current volatility levels as measured by the VIX (CBOE Volatility Index). Formula: Expected Daily Move = (ES Price × VIX Price) / √252 / 100 The calculation converts the annualized VIX volatility into an expected daily move by dividing by the square root of 252 (the approximate number of trading days per year). Features: Real-time calculation using current ES futures price and VIX level Histogram visualization in a separate pane for easy trend analysis Information table displaying: Current ES futures price Current VIX level Expected daily move in points Expected daily move as a percentage
Pine Script® göstergesi
alanjeremiebarbe tarafından
Elite Energy Alpha MatrixThe Elite Energy Alpha Matrix indicator provides comprehensive analysis of the energy sector, focusing on the complex relationships between crude oil benchmarks, natural gas, energy-related ETFs, and the performance dynamics across various energy sub-sectors. The indicator tracks multiple energy price data sources including WTI crude oil, Brent crude, natural gas, and oil ETFs, enabling detailed monitoring of price relationships and divergences within the energy complex. Key analytical components include: • Correlation analysis between major energy benchmarks • Multi-timeframe examination of energy price relationships • Sector rotation detection within energy sub-sectors including integrated oil majors, exploration and production companies, oilfield services, refiners, pipelines, and renewable energy • Performance monitoring across different energy market segments The indicator provides a structured framework for analyzing the internal dynamics of the energy sector, identifying periods of alignment or divergence between different energy price instruments, and monitoring relative performance across energy sub-sectors. This approach enables users to assess the consistency of price movements across the energy complex and identify situations where different components of the energy market are exhibiting divergent behavior, which can provide insight into the underlying drivers affecting the sector.2.6s
Pine Script® göstergesi
Timmy741 tarafından
Dynamic Ratchet Trend Strategy [VIX Filter]Overview This strategy is a long-only trend-following system designed to capture major market moves while strictly managing downside risk through a state-machine based "Ratchet" exit logic. It incorporates a volatility filter using the CBOE VIX index to stay out of (or exit) the market during high-stress environments. Key Features 1. Multi-Condition Entries The strategy looks for momentum shifts and trend breakouts using four Simple Moving Averages (25, 50, 100, 200). Momentum Cross: SMA 25 crossover above SMA 50. Trend Breakouts: A specific "3-Bar Breakout" logic above the SMA 50, 100, or 200. This requires the price to hold above the SMA for 3 consecutive bars after being below it, reducing false signals compared to simple closes. 2. VIX Volatility Filter Before entering any trade, the script checks the CBOE:VIX. Filter: If VIX is above the threshold (default 32), new entries are blocked. Panic Exit: If you are in a position and the VIX spikes above the threshold, the strategy executes an immediate "Panic Exit" to preserve capital during market crashes. 3. The "Ratchet" Exit System (3 Stages) Unlike a standard trailing stop, this strategy uses a 3-stage dynamic exit mechanism that tightens as profits grow: Stage 0 (Initial Risk): Standard percentage-based Stop Loss from the entry price. Stage 1 (The Lock-In): Triggered when profit hits 10% (configurable). Unique Logic: Instead of trailing from the highest high, the stop is calculated based on the price at the exact moment this stage was triggered. It "steps up" once and holds, securing the initial move without being prematurely stopped out by normal volatility. Stage 2 (Trailing Mode): Triggered when profit hits 15% (configurable). The strategy switches to a classic Trailing Stop, following the percentage distance from the Highest High. 4. Emergency Backup A "Dead Cross" (SMA 25 crossing under SMA 50) acts as a final fail-safe to close positions if the trend reverses completely before hitting a stop. Settings & Inputs SMAs: Customize the lengths for all four moving averages. VIX Filter: Toggle the filter on/off and set the panic threshold. Exit Logic: Fully customizable percentages for Initial SL, Stage 1 Trigger/Distance, and Stage 2 Trigger/Trailing Distance. Disclaimer This script is for educational purposes only. Past performance is not indicative of future results. Always manage your risk appropriately.
Pine Script® stratejisi
oppliger79 tarafından
Ratchet Exit Trend Strategy with VIX FilterThis strategy is a trend-following system designed specifically for volatile markets. Instead of focusing solely on the "perfect entry," this script emphasizes intelligent trade management using a custom **"Ratchet Exit System."** Additionally, it integrates a volatility filter based on the CBOE Volatility Index (VIX) to minimize risk during extreme market phases. ### 🎯 The Concept: Ratchet Exit The "Ratchet" system operates like a mechanical ratchet tool: the Stop Loss can only move in one direction (up, for long trades) and "locks" into specific stages. The goal is to give the trade "room to breathe" initially to avoid being stopped out by noise, then aggressively reduce risk as the trade moves into profit. The exit logic moves through 3 distinct phases: 1. **Phase 0 (Initial Risk):** At the start of the trade, a wide Stop Loss is set (Default: 10%) to tolerate normal market volatility. 2. **Phase 1 (Risk Reduction):** Once the trade reaches a specific floating profit (Default: +10%), the Stop Loss is raised and "pinned" to a fixed value (Default: -8% from entry). This drastically reduces risk while keeping the trade alive. 3. **Phase 2 (Trailing Mode):** If the trend extends to a higher profit zone (Default: +15%), the Stop switches to a dynamic Trailing Mode. It follows the **Highest High** at a fixed percentage distance (Default: 8%). ### 🛡️ VIX Filter & Panic Exit High volatility is often the enemy of trend-following strategies. * **Entry Filter:** The system will not enter new positions if the VIX is above a user-defined threshold (Default: 32). This helps avoid entering "falling knife" markets. * **Panic Exit:** If the VIX spikes above the threshold (32) while a trade is open, the position is closed immediately to protect capital (Emergency Exit). ### 📈 Entry Signals The strategy trades **LONG only** and uses Simple Moving Averages (SMAs) to identify trends: * **Golden Cross:** SMA 25 crosses over SMA 50. * **3-Bar Breakouts:** A confirmation logic where the price must close above the SMA 50, 100, or 200 for 3 consecutive bars. ### ⚙️ Settings (Inputs) All parameters are fully customizable via the settings menu: * **SMAs:** Lengths for the trend indicators (Default: 25, 50, 100, 200). * **VIX Filter:** Toggle the filter on/off and adjust the panic threshold. * **Ratchet Settings:** Percentages for Initial Stop, Trigger Levels for Stages 1 & 2, and the Trailing Distance. ### ⚠️ Technical Note & Risk Warning This script uses `request.security` to fetch VIX data. Please ensure you understand the risks associated with trading leveraged or volatile assets. Past performance is not indicative of future results.
Pine Script® stratejisi
oppliger79 tarafından
Z-EMA Fusion BandsDesigned with crypto markets in mind, particularly Bitcoin , it builds on the concept that the 1-Week 50 EMA often serves as a long-term bull/bear market threshold — an area where institutional bias, momentum shifts, and cyclical rotations tend to occur. 🔹 Core Components & Synergies: 1. 1W 50 EMA (Higher Timeframe) - This EMA is calculated on a weekly timeframe, regardless of your current chart. - In crypto, price above the 1W 50 EMA typically aligns with long-term bull market phases, while extended periods below can signify bearish macro structure. - The slope of the EMA is also analyzed to add directional confidence to trend strength. 2. ±1 Standard Deviation Bands - Surrounding the 50 EMA, these bands visualize normal price dispersion relative to trend. - When price consistently hugs or breaks outside these bands, it often reflects market expansion, volatility events, or mean-reversion opportunity. 3. Z-Score Gradient Fill - The area between the bands is filled using a Z-score-based gradient, which dynamically adjusts color based on how far price is from the EMA (in terms of standard deviations). - Color shifts from aqua (near EMA) to fuchsia (far from EMA) help you spot price compression, equilibrium, or overextension at a glance. - The fill also uses transparency scaling, making it fade as price stretches further, emphasizing the core structure. 4. Directional EMA Coloring - The EMA line itself is colored based on: - The slope of the EMA (rising/falling) - Whether the HTF candle is bullish or bearish - This provides intuitive color-coded confirmation of momentum alignment or potential exhaustion. 5. Price/EMA Divergence Detection - The script detects bullish and bearish divergence between price and the EMA (rather than using a traditional oscillator). - Bullish Divergence: Price makes a lower low, EMA makes a higher low. - Bearish Divergence: Price makes a higher high, EMA makes a lower high. - These signals often mark transitional zones where momentum fades before a trend reversal or correction. 📊 Suggested Uses: 🔸 Swing and Position Trading: - Use the 1W 50 EMA as a macro-trend anchor. - Stay long-biased when price is above with positive slope, and short-biased when below. - Consider entries near band edges for mean-reversion plays, especially if confluence forms with divergence signals. 🔸 Volatility-Based Filtering: - Use the Z-score fill to identify volatility compression (near EMA) or expansion (edge of bands). - Combine this with breakout strategies or dynamic position sizing. 🔸 Divergence Confirmation: - Combine divergence markers with HTF EMA slope for high-probability setups. - Bullish div + EMA flattening/rising can signal the start of accumulation after a macro dip. 🔸 Multi-Timeframe Analysis: - Works well as a structural overlay on intraday charts (1H, 4H, 1D). - Use this indicator to track long-term bias while executing lower timeframe trades. ⚠️ Disclaimer: This indicator is designed for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Always use proper risk management, and combine with your own analysis, tools, and strategy. Performance in past market conditions does not guarantee future results.
Pine Script® göstergesi
RWCS_LTD tarafından
Vibha Jha TQQQ Clean Buy/Sell📈 Vibha Jha TEQQ Hybrid Strategy — Buy/Sell Signals This script replicates the high-performance buy/sell methodology of Vibha Jha, one of the top money-manager performers in the U.S. Investing Championship (USIC). Her hybrid system generated triple-digit returns in both 2020 and 2021, and strong follow-up performance in 2023–2024 through a strict, rules-based combination of: ✔ CANSLIM-style market leadership tracking ✔ Position-trading fundamentals ✔ Rules-based swing trading using TQQQ/QQQ ✔ Tight entries & disciplined sells ✔ Market-timed exposure based on follow-through days, 21-EMA, and distribution clusters 🚀 What This Indicator Does This indicator plots clean BUY and SELL signals based on Vibha’s core rule set: BUY Signals Three consecutive higher highs AND higher lows (her famous “3-day up” rule) Strong up-day with rising volume Designed to catch early trend reversals and early-stage rally attempts SELL Signals Two closes below the 21-day EMA Three consecutive down days Distribution cluster (4+ distribution days in the last 6 bars) Captures exhaustion, weakening trend, and institutional selling 🧠 Why This Works Vibha’s system is built on the reality that: 🔹 Markets give early warning before reversing 🔹 Momentum shifts appear before fundamentals 🔹 Distribution clusters precede pullbacks 🔹 3-day up patterns often kick off powerful rallies 🔹 TQQQ/QQQ respond clearly to technical signals This indicator applies those insights directly to your chart—stocks, crypto, indices, or leveraged ETFs.
Pine Script® göstergesi
basantd tarafından
Support & Resistance Pro by 🅰🅻🅿Support & Resistance Pro by 🅰🅻🅿 A Multi-Layer Market Structure Engine for Professional Price Analysis Support & Resistance Pro is a next-generation price structure algorithm designed to identify the most meaningful support and resistance levels across any market or timeframe. Instead of relying on simple fractals, random pivots, or fixed-distance lines, this script analyzes the way price interacts with historical levels — including wick reactions, close rejections, structural pivots, retests, and liquidity sweeps. The result is a clean, intelligent, and highly accurate market structure map that adapts to every style of trading. 🚀 Key Features 1. Multi-Layer S/R Engine (Up to 20 Dynamic Levels) The algorithm computes and ranks up to 20 unique levels , from strongest to weakest. Each level is scored using: Structural pivot strength Number of historical touches Closeness of each interaction Market memory & reaction weight Breakout and retest behavior This produces an objective hierarchy of price levels — ideal for scalping, day trading, or swing analysis. 2. Smart Strength Filter To remove noise, the Smart Strength Filter evaluates how often price has interacted with each level and hides the ones that lack significance. You can customize: Lookback range Minimum touch count Touch tolerance sensitivity This ensures your chart displays only the most relevant and reliable structural zones for the current environment. 3. Heat Map Intensity Coloring Levels automatically change opacity based on their strength: More touches → stronger color Fewer touches → lighter color This creates a natural visual heat map that highlights where market memory is strongest — perfect for identifying high-probability breakout or reversal zones. 4. Multi-Timeframe Compatibility Project higher timeframe S/R onto lower timeframe charts to enhance confluence: Day traders: render 4H levels on 5m–15m Swing traders: render 1D levels on 1H Scalpers: render 1H levels on 1m–3m This gives you powerful structural awareness without switching charts. 5. Clean Visual Design Every element has been designed to stay out of your way: Choose your preferred level count (8–20) Adjustable line thickness Label sizing and offset controls Optional price tags Light or dark color-friendly styling The visual layout is clean, modern, and tailored for long chart sessions. 6. Profile Presets for Every Trader Four built-in trading profiles are included: Scalp Mode Reactive levels Tight tolerance Best for 1m–5m Day Trade Mode Balanced structure Ideal for 5m–1H Swing Mode Broad pivots Higher significance Perfect for 4H–1D Custom Mode Full control over every parameter. 🎯 How Traders Use This Identify major reversal zones Find liquidity pockets before they form Improve breakout accuracy Locate fair-value areas for entries Combine HTF structure with LTF setups Simplify noise-heavy charts Whether you’re looking for scalping precision or long-term structure, the indicator adapts instantly. ⚠️ Disclaimer This script is intended for market analysis and educational purposes only. It does not constitute financial advice. Always backtest and verify settings before trading live markets. 🅐🅛🅟 – Author Created with care, precision, and countless hours of testing by alpprofitmax. Licensed under the Mozilla Public License 2.0.
Pine Script® göstergesi
alpprofitmax tarafından
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Bollinger Bands with ATR SL Hariss 369Bollinger Bands are a popular technical analysis tool developed by John Bollinger. They consist of three lines plotted on a price chart: Middle Band – a simple moving average (usually 20 periods). Upper Band – the middle band plus two standard deviations. Lower Band – the middle band minus two standard deviations. Key Features: Volatility Indicator: The bands expand when volatility increases and contract when volatility decreases. Trend Analysis: Prices near the upper band indicate overbought conditions, while prices near the lower band indicate oversold conditions. Trading Signals: Traders often look for price touches, breaks, or rebounds from the bands to identify potential entries or exits. To strengthen the trend quality RVOL has been considered. The ideal value of RVOL is 1.5 Higher Time Frame Trend filter gives trend clarity in higher time frame. One can select RVOL and HTF (Higher Time Frame) filter. Bollinger bands indicator is basically a trend following indicator. We should go with the trend rather book profit @1:1 or 1:2 basis. In that case we might miss the long trend. The middle band is generally considered as stop loss. However, ATR based stop loss has been designed in the script in order to capture the volatility in decent way. Break out signal is initiated on break out with volume taking higher time frame into consideration. One can use this indicator in any time frame and any class of asset. To filter higher time frame eg. entry / exit 5 min chart, 15m/1h can be taken as higher time frame, for 1h entry/ exit, 4h can be taken as higher time frame trend filter.
Pine Script® göstergesi
Hariss369 tarafından
APEX TREND: Macro & Hard Stop SystemAPEX TREND: Macro & Hard Stop System The APEX TREND System is a composite trend-following strategy engineered to solve the "Whipsaw" problem inherent in standard breakout systems. It orchestrates four distinct technical theories—Macro Trend Filtering, Volatility Squeeze, Momentum, and Volatility Stop-Loss—into a single, hierarchical decision-making engine. This script is not merely a collection of indicators; it is a rules-based trading system designed for Swing Traders (Day/Week timeframes) who aim to capture major trend extensions while strictly managing downside risk through a "Hard Stop" mechanism. 🧠 Underlying Concepts & Originality Many trend indicators fail because they treat all price movements equally. The APEX TREND differentiates itself by applying an "Institutional Filter" logic derived from classic Dow Theory and Modern Volatility Analysis. 1. The Macro Hard Stop (The 200 EMA Logic) Origin: Based on the institutional mandate that “Nothing good happens below the 200-day moving average.” Function: Unlike standard super trends that flip constantly in sideways markets, this system integrates a 200-period Exponential Moving Average (EMA) as a non-negotiable "Hard Stop." Synergy: This acts as the primary gatekeeper. Even if the volatility engine signals a "Buy," the system suppresses the signal if the price is below the Macro Baseline, effectively filtering out counter-trend traps. 2. The Volatility Engine (Squeeze Theory) Origin: Derived from John Carter’s TTM Squeeze concept. Function: The script identifies periods where Bollinger Bands (Standard Deviation) contract inside Keltner Channels (ATR). This indicates a period of potential energy build-up. Synergy: The system only triggers an entry when this energy is released (Breakout) AND coincides with Linear Regression Momentum, ensuring the breakout is genuine. 3. Anti-Chop Filter (ADX Integration) Origin: J. Welles Wilder’s Directional Movement Theory. Function: A common failure point for trend systems is low-volatility chop. This script utilizes the Average Directional Index (ADX). Synergy: If the ADX is below the threshold (Default: 20), the market is deemed "Choppy." The script visually represents this by painting candles GRAY, signaling a "No-Trade Zone" regardless of price action. 4. The "Run Trend" Stop Loss (Factor 4.0 ATR) Origin: Adapted from the Turtle Trading rules regarding volatility-based stops. Function: Standard Trailing Stops (usually Factor 3.0) are too tight for crypto or volatile equities on daily timeframes. Optimization: This system employs a wider ATR Multiplier of 4.0. This allows the asset to fluctuate naturally within a trend without triggering a premature exit, maximizing the "Run Trend" potential. 🛠 How It Works (The Algorithm) The script processes data in a specific order to generate a signal: Check Macro Trend: Is Price > EMA 200? (If No, Longs are disabled). Check Volatility: Is ADX > 20? (If No, all signals are disabled). Check Volume: Is Current Volume > 1.2x Average Volume? (Confirmation of institutional participation). Trigger: Has a Volatility Breakout occurred in the direction of the Macro Trend? Execution: If ALL above are true -> Generate Signal. 🎯 Strategy Guide 1. Long Setup (Bullish) Signal: Look for the Green "APEX LONG" Label. Condition: The price must be ABOVE the White Line (EMA 200). Execution: Enter at the close of the signal candle. Stop Loss: Initial stop at the Green Trailing Line. 2. Short Setup (Bearish) Signal: Look for the Red "APEX SHORT" Label. Condition: The price must be BELOW the White Line (EMA 200). Execution: Enter at the close of the signal candle. Stop Loss: Initial stop at the Red Trailing Line. 3. Exit Rules (Crucial) This system employs a Dual-Exit Mechanism: Soft Exit (Profit Taking): Close the position if the price crosses the Trailing Stop Line (Green/Red line). This locks in profits during a trend reversal. Hard Exit (Emergency): Close the position IMMEDIATELY if the price crosses the White EMA 200 Line against your trade. This prevents holding a position during a major market regime change. ⚙️ Settings Momentum Engine: Adjust Bollinger Band/Keltner Channel lengths to tune breakout sensitivity. Apex Filters: Toggle the EMA 200 or ADX filters on/off to adapt to different asset classes. Risk Management: The ATR Multiplier (Default 4.0) controls the width of the trailing stop. Lower values = Tighter stops (Scalping); Higher values = Looser stops (Swing). Disclaimer: This script is designed for trend-following on higher timeframes (4H, 1D, 1W). Please backtest on your specific asset before live trading.
Pine Script® göstergesi
Gustav_Rex tarafından
LazyTradeLazyTrade is a clean, high-confidence trend-following indicator built on TradingView’s non-repainting SuperTrend V6 engine. It adds intelligent RSI confirmation, profit-tracking labels, trend-flip markers, and optional background shading to highlight momentum shifts. Designed for intraday and swing traders who want fast, reliable signals without chart clutter. Features: • Non-repainting Buy/Sell signals • Smart RSI confirmation (Aggressive / Standard / Conservative) • Auto P&L between opposite signals • Trend-flip circles and transparent background zones • Clean visual structure optimized for daily and leveraged ETF trading A simple, intuitive tool that keeps you aligned with the dominant trend—no noise, no over-complication.
Pine Script® göstergesi
dmandrey tarafından