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Lau3%Lau3% — adaptive trend, volatility trail, and smart session zones Lau3% was created to solve two common problems of many indicators: false triggers during sideways markets and unrealistic levels cluttering the chart. How it works (conceptually): - Adaptive baselines adjust their speed to volatility. They respond quickly in impulsive phases and smooth out in calm periods, so the trend representation stays relevant. - Volatility trail acts as a dynamic barrier. When the market changes regime and price crosses this barrier, a signal may appear. To avoid constant noise, the script validates the move so that weak sideways fluctuations don’t trigger signals. - Two signal modes: -- Flip — selective signals only on confirmed regime change. -- Volatility cross — designed for aggressive trading and frequent entries. - Session zones highlight realistic support and resistance for the current period. They adapt by distance to price and often match areas where stop orders or large limit orders accumulate. How to read it: - Flip mode = trend confirmation style. - Volatility cross = aggressive breakout style. - Session zones = pressure/interest areas for market participants. This logic keeps the script useful in both trending and ranging conditions, without overloading the chart with redundant lines.
Indicador Pine Script®
por LaurensBancroft
SPPO - Statistical Price Position OscillatorSPPO - Statistical Price Position Oscillator === INDICATOR OVERVIEW === The Statistical Price Position Oscillator (SPPO) is an innovative technical analysis tool built on rigorous statistical principles. Unlike traditional oscillators that rely on fixed periods or subjective thresholds, SPPO uses dynamic statistical modeling to assess where current prices stand within their historical distribution. === KEY FEATURES === • Statistical Foundation: Based on normal distribution theory and Z-Score standardization • Dynamic Parameter Adjustment: Automatically adapts to market volatility conditions • Probability Quantification: Provides objective probability assessments for price levels • Multi-Layer Visual System: Six layers of information encoding (line position, color intensity, line width, background, histogram, data panel) • Professional Color Schemes: Multiple themes optimized for different trading environments • Real-time Risk Assessment: Quantifies the statistical significance of current price positions === CORE COMPONENTS === 1. SPPO Main Line - Represents the standardized price position (Z-Score × Sensitivity) - Dynamic line width: Normal (2px) for |Z| ≤ 1.0, Bold (6px) for extreme deviations - Color coding: Neutral (gray) for normal range, Orange/Yellow for moderate deviation, Blue/Purple for extreme deviation 2. SPPO Histogram (Momentum Bars) - Measures the momentum of statistical deviation, not price momentum - Calculated as: (Current Z-Score - EMA of Z-Score) × Sensitivity - Helps identify momentum divergences and trend continuation/reversal signals 3. Intelligent Data Panel - Real-time display of key statistical metrics - Shows: Price Position, Z-Score, Probability, Momentum, Deviation Classification, Market Regime - Dynamic parameter display for transparency 4. Adaptive Background System - Visual representation of market regimes - Color intensity based on statistical significance - Helps quickly identify extreme market conditions === PARAMETER SETTINGS === Core Parameters: • Distribution Period (30-120, default 50): Statistical calculation window based on Central Limit Theorem • Range Evaluation Period (10-100, default 14): Price range assessment window • Position Sensitivity (0.5-4.0, default 2.5): Indicator responsiveness factor • Probability Threshold (0.01-0.2, default 0.03): Signal trigger threshold Confidence Intervals: • 1σ Confidence (60%-75%, default 68%): Normal range boundary • 2σ Confidence (90%-98%, default 95%): Significant deviation boundary • 3σ Confidence (99.5%-99.9%, default 99.7%): Extreme deviation boundary Dynamic Adjustment: • Enable Dynamic Adjustment: Automatically optimizes parameters based on market volatility • Volatility Lookback (10-50, default 10): Period for volatility assessment • Dynamic Sensitivity Multiplier (0.5-3.0, default 1.5): Volatility-based sensitivity adjustment === MATHEMATICAL FOUNDATION === SPPO is built on several key mathematical concepts: 1. Z-Score Standardization: Z = (X - μ) / σ Where X = current price, μ = mean, σ = standard deviation 2. Normal Distribution Theory: Assumes prices follow normal distribution within rolling windows 3. Probability Density Function: PDF(z) = e^(-z²/2) / √(2π) 4. Cumulative Distribution Function: Approximates tail probabilities for extreme events 5. Dynamic Parameter Optimization: Adjusts calculation parameters based on market volatility percentiles === TRADING APPLICATIONS === 1. Mean Reversion Strategy - Entry: SPPO > +8 or < -8 with probability < 5% - Confirmation: Momentum histogram showing divergence - Exit: SPPO returns to ±3 range 2. Trend Confirmation - Trend continuation: SPPO and histogram aligned - Trend exhaustion: Extreme SPPO with weakening histogram - Breakout validation: SPPO breaking confidence intervals with volume 3. Risk Management - Position sizing based on probability inverse - Stop-loss when SPPO extends beyond ±12 - Take-profit at statistical mean reversion levels === MARKET REGIME CLASSIFICATION === • Normal Range (|SPPO| < 3): Trend-following strategies preferred • Moderate Deviation (3 < |SPPO| < 8): Cautious mean reversion with partial positions • Extreme Deviation (|SPPO| > 8): Aggressive mean reversion with strict risk management === TIMEFRAME RECOMMENDATIONS === • Short-term Trading (30-50 period): Intraday scalping, high sensitivity • Medium-term Analysis (50-80 period): Swing trading, balanced sensitivity • Long-term Trends (80-120 period): Position trading, statistical stability focus === UNIQUE ADVANTAGES === 1. Objective Signal Generation: Every signal backed by statistical probability 2. Self-Adaptive System: Automatically adjusts to changing market conditions 3. Multi-Dimensional Information: Six layers of visual information in single indicator 4. Universal Application: Works across all markets and timeframes 5. Risk Quantification: Provides probability-based risk assessment 6. Professional Visualization: Institutional-grade color schemes and data presentation === TECHNICAL SPECIFICATIONS === • Pine Script Version: v6 compatible • Maximum Bars Back: 500 (optimized for performance) • Calculation Efficiency: Incremental updates with caching • Memory Management: Dynamic array sizing with intelligent cleanup • Rendering Optimization: Conditional rendering to reduce resource consumption === ALERT CONDITIONS === • Extreme Probability Alert: Triggered when probability < extreme threshold • Buy Signal Alert: Statistical mean reversion buy conditions met • Sell Signal Alert: Statistical mean reversion sell conditions met • High Volatility Alert: Market enters high volatility regime (>90th percentile) === COMPATIBILITY === • Asset Classes: Stocks, Forex, Commodities, Cryptocurrencies, Indices • Timeframes: All standard timeframes (1m to 1M) • Market Sessions: 24/7 markets and traditional market hours • Data Requirements: Minimum 120 bars for optimal statistical accuracy === PERFORMANCE OPTIMIZATION === • Efficient Algorithms: Uses Pine Script built-in functions for optimal speed • Memory Management: Limited historical data caching to prevent overflow • Rendering Optimization: Layered rendering system reduces redraw overhead • Precision Balance: Optimized balance between calculation accuracy and performance === RISK DISCLAIMER === SPPO is a statistical analysis tool designed to assist in market analysis. While based on rigorous mathematical principles, it should not be used as the sole basis for trading decisions. Always combine SPPO analysis with: • Fundamental analysis • Risk management practices • Market context awareness • Position sizing discipline Past performance does not guarantee future results. Trading involves substantial risk of loss. === SUPPORT AND DOCUMENTATION === For detailed technical documentation, implementation examples, and advanced strategies, please refer to the comprehensive SPPO Technical Documentation included with this indicator. === VERSION INFORMATION === Current Version: 2.0 Last Updated: 2024 Compatibility: Pine Script v6 Author: === CONCLUSION === SPPO represents a significant advancement in technical analysis, bringing institutional-grade statistical modeling to retail traders. Its combination of mathematical rigor, adaptive intelligence, and professional visualization makes it an invaluable tool for traders seeking objective, probability-based market analysis. The indicator's unique approach to quantifying price position within statistical distributions provides traders with unprecedented insight into market extremes and mean reversion opportunities, while its self-adaptive nature ensures consistent performance across varying market conditions.
Indicador Pine Script®
por Lavaetin42
SPPO - Statistical Price Position OscillatorSPPO - Statistical Price Position Oscillator === INDICATOR OVERVIEW === The Statistical Price Position Oscillator (SPPO) is an innovative technical analysis tool built on rigorous statistical principles. Unlike traditional oscillators that rely on fixed periods or subjective thresholds, SPPO uses dynamic statistical modeling to assess where current prices stand within their historical distribution. === KEY FEATURES === • Statistical Foundation: Based on normal distribution theory and Z-Score standardization • Dynamic Parameter Adjustment: Automatically adapts to market volatility conditions • Probability Quantification: Provides objective probability assessments for price levels • Multi-Layer Visual System: Six layers of information encoding (line position, color intensity, line width, background, histogram, data panel) • Professional Color Schemes: Multiple themes optimized for different trading environments • Real-time Risk Assessment: Quantifies the statistical significance of current price positions === CORE COMPONENTS === 1. SPPO Main Line - Represents the standardized price position (Z-Score × Sensitivity) - Dynamic line width: Normal (2px) for |Z| ≤ 1.0, Bold (6px) for extreme deviations - Color coding: Neutral (gray) for normal range, Orange/Yellow for moderate deviation, Blue/Purple for extreme deviation 2. SPPO Histogram (Momentum Bars) - Measures the momentum of statistical deviation, not price momentum - Calculated as: (Current Z-Score - EMA of Z-Score) × Sensitivity - Helps identify momentum divergences and trend continuation/reversal signals 3. Intelligent Data Panel - Real-time display of key statistical metrics - Shows: Price Position, Z-Score, Probability, Momentum, Deviation Classification, Market Regime - Dynamic parameter display for transparency 4. Adaptive Background System - Visual representation of market regimes - Color intensity based on statistical significance - Helps quickly identify extreme market conditions === PARAMETER SETTINGS === Core Parameters: • Distribution Period (30-120, default 50): Statistical calculation window based on Central Limit Theorem • Range Evaluation Period (10-100, default 14): Price range assessment window • Position Sensitivity (0.5-4.0, default 2.5): Indicator responsiveness factor • Probability Threshold (0.01-0.2, default 0.03): Signal trigger threshold Confidence Intervals: • 1σ Confidence (60%-75%, default 68%): Normal range boundary • 2σ Confidence (90%-98%, default 95%): Significant deviation boundary • 3σ Confidence (99.5%-99.9%, default 99.7%): Extreme deviation boundary Dynamic Adjustment: • Enable Dynamic Adjustment: Automatically optimizes parameters based on market volatility • Volatility Lookback (10-50, default 10): Period for volatility assessment • Dynamic Sensitivity Multiplier (0.5-3.0, default 1.5): Volatility-based sensitivity adjustment === MATHEMATICAL FOUNDATION === SPPO is built on several key mathematical concepts: 1. Z-Score Standardization: Z = (X - μ) / σ Where X = current price, μ = mean, σ = standard deviation 2. Normal Distribution Theory: Assumes prices follow normal distribution within rolling windows 3. Probability Density Function: PDF(z) = e^(-z²/2) / √(2π) 4. Cumulative Distribution Function: Approximates tail probabilities for extreme events 5. Dynamic Parameter Optimization: Adjusts calculation parameters based on market volatility percentiles === TRADING APPLICATIONS === 1. Mean Reversion Strategy - Entry: SPPO > +8 or < -8 with probability < 5% - Confirmation: Momentum histogram showing divergence - Exit: SPPO returns to ±3 range 2. Trend Confirmation - Trend continuation: SPPO and histogram aligned - Trend exhaustion: Extreme SPPO with weakening histogram - Breakout validation: SPPO breaking confidence intervals with volume 3. Risk Management - Position sizing based on probability inverse - Stop-loss when SPPO extends beyond ±12 - Take-profit at statistical mean reversion levels === MARKET REGIME CLASSIFICATION === • Normal Range (|SPPO| < 3): Trend-following strategies preferred • Moderate Deviation (3 < |SPPO| < 8): Cautious mean reversion with partial positions • Extreme Deviation (|SPPO| > 8): Aggressive mean reversion with strict risk management === TIMEFRAME RECOMMENDATIONS === • Short-term Trading (30-50 period): Intraday scalping, high sensitivity • Medium-term Analysis (50-80 period): Swing trading, balanced sensitivity • Long-term Trends (80-120 period): Position trading, statistical stability focus === UNIQUE ADVANTAGES === 1. Objective Signal Generation: Every signal backed by statistical probability 2. Self-Adaptive System: Automatically adjusts to changing market conditions 3. Multi-Dimensional Information: Six layers of visual information in single indicator 4. Universal Application: Works across all markets and timeframes 5. Risk Quantification: Provides probability-based risk assessment 6. Professional Visualization: Institutional-grade color schemes and data presentation === TECHNICAL SPECIFICATIONS === • Pine Script Version: v6 compatible • Maximum Bars Back: 500 (optimized for performance) • Calculation Efficiency: Incremental updates with caching • Memory Management: Dynamic array sizing with intelligent cleanup • Rendering Optimization: Conditional rendering to reduce resource consumption === ALERT CONDITIONS === • Extreme Probability Alert: Triggered when probability < extreme threshold • Buy Signal Alert: Statistical mean reversion buy conditions met • Sell Signal Alert: Statistical mean reversion sell conditions met • High Volatility Alert: Market enters high volatility regime (>90th percentile) === COMPATIBILITY === • Asset Classes: Stocks, Forex, Commodities, Cryptocurrencies, Indices • Timeframes: All standard timeframes (1m to 1M) • Market Sessions: 24/7 markets and traditional market hours • Data Requirements: Minimum 120 bars for optimal statistical accuracy === PERFORMANCE OPTIMIZATION === • Efficient Algorithms: Uses Pine Script built-in functions for optimal speed • Memory Management: Limited historical data caching to prevent overflow • Rendering Optimization: Layered rendering system reduces redraw overhead • Precision Balance: Optimized balance between calculation accuracy and performance === RISK DISCLAIMER === SPPO is a statistical analysis tool designed to assist in market analysis. While based on rigorous mathematical principles, it should not be used as the sole basis for trading decisions. Always combine SPPO analysis with: • Fundamental analysis • Risk management practices • Market context awareness • Position sizing discipline Past performance does not guarantee future results. Trading involves substantial risk of loss. === SUPPORT AND DOCUMENTATION === For detailed technical documentation, implementation examples, and advanced strategies, please refer to the comprehensive SPPO Technical Documentation included with this indicator. === VERSION INFORMATION === Current Version: 2.0 Last Updated: 2024 Compatibility: Pine Script v6 Author: === CONCLUSION === SPPO represents a significant advancement in technical analysis, bringing institutional-grade statistical modeling to retail traders. Its combination of mathematical rigor, adaptive intelligence, and professional visualization makes it an invaluable tool for traders seeking objective, probability-based market analysis. The indicator's unique approach to quantifying price position within statistical distributions provides traders with unprecedented insight into market extremes and mean reversion opportunities, while its self-adaptive nature ensures consistent performance across varying market conditions.
Indicador Pine Script®
por Lavaetin42
2ATR / Current Price %### **Real-Time 2ATR Volatility Ratio Indicator** --- ### **Overview** This indicator provides a quick and visual way to understand market volatility by calculating the ratio between the **2ATR (Average True Range)** and the **current price**. * **ATR (Average True Range)** is a widely-used measure of market volatility, showing the average price movement over a specific period. * **2ATR** represents a price move that is twice the average volatility. Traders often use this value as a benchmark for potential support/resistance levels or for setting a dynamic stop-loss. ### **Key Features** * **Real-Time Calculation**: Unlike many indicators that rely on the previous candle's close, this script calculates the 2ATR ratio using the **real-time current price**, providing you with up-to-the-second data. * **Intuitive Display**: The final percentage value is shown in a clear **yellow label** at the **bottom-right** of your chart, making it easy to monitor without cluttering your view. * **Customizable Input**: You can adjust the `ATR Period` setting to change the sensitivity of the volatility calculation, allowing you to adapt the indicator to different trading styles and timeframes. ### **How to Use It** This tool is especially useful for **risk management and setting stop-loss orders**. The percentage displayed on the label tells you how much the price would need to move from its current level to equal a 2ATR change. **Example**: If the indicator shows **3.5%**, it means a price drop of 3.5% from the current level would be equal to a 2ATR move. This gives you a clear and quantifiable number to help you set a **logical stop-loss** or to quickly assess the potential downside risk before entering a trade.
Indicador Pine Script®
por freegor919
1
Kalman Adjusted Average True Range [BackQuant]Kalman Adjusted Average True Range A volatility-aware trend baseline that fuses a Kalman price estimate with ATR “rails” to create a smooth, adaptive guide for entries, exits, and trailing risk. Built on my original Kalman This indicator is based on my original Kalman Price Filter: That core smoother is used here to estimate the “true” price path, then blended with ATR to control step size and react proportionally to market noise. What it plots Kalman ATR Line the main baseline that turns up/down with the filtered trend. Optional Moving Average of the Kalman ATR a secondary line for confluence (SMA/Hull/EMA/WMA/DEMA/RMA/LINREG/ALMA). Candle Coloring (optional) paint bars by the baseline’s current direction. Why combine Kalman + ATR? Kalman reduces measurement noise and produces a stable path without the lag of heavy MAs. ATR rails scale the baseline’s step to current volatility, so it’s calm in chop and more responsive in expansion. The result is a single, intelligible line you can trade around: slope-up = constructive; slope-down = caution. How it works (plain English) Each bar, the Kalman filter updates an internal state (tunable via Process Noise , Measurement Noise , and Filter Order ) to estimate the underlying price. An ATR band (Period × Factor) defines the allowed per-bar adjustment. The baseline cannot “jump” beyond those rails in one step. A direction flip is detected when the baseline’s slope changes sign (upturn/downturn), and alerts are provided for both. Typical uses Trend confirmation Trade in the baseline’s direction; avoid fading a firmly rising/falling line. Pullback timing Look for entries when price mean-reverts toward a rising baseline (or exits on tags of a falling one). Trailing risk Use the baseline as a dynamic guide; many traders set stops a small buffer beyond it (e.g., a fraction of ATR). Confluence Enable the MA overlay of the Kalman ATR; alignment (baseline above its MA and rising) supports continuation. Inputs & what they do Calculation Kalman Price Source which price the filter tracks (Close by default). Process Noise how quickly the filter can adapt. Higher = more responsive (but choppier). Measurement Noise how much you distrust raw price. Higher = smoother (but slower to turn). Filter Order (N) depth of the internal state array. Higher = slightly steadier behavior. Kalman ATR Period ATR lookback. Shorter = snappier; longer = steadier. Factor scales the allowed step per bar. Larger factors permit faster drift; smaller factors clamp movement. Confluence (optional) MA Type & Period compute an MA on the Kalman ATR line , not on price. Sigma (ALMA) if ALMA is selected, this input controls the curve’s shape. (Ignored for other MA types.) Visuals Plot Kalman ATR toggle the main line. Paint Candles color bars by up/down slope. Colors choose long/short hues. Signals & alerts Trend Up baseline turns upward (slope crosses above 0). Alert: “Kalman ATR Trend Up” Trend Down baseline turns downward (slope crosses below 0). Alert: “Kalman ATR Trend Down” These are state flips , not “price crossovers,” so you avoid many one-bar head-fakes. How to start (fast presets) Swing (daily/4H) ATR Period 7–14, Factor 0.5–0.8, Process Noise 0.02–0.05, Measurement Noise 2–4, N = 3–5. Intraday (5–15m) ATR Period 5–7, Factor 0.6–1.0, Process Noise 0.05–0.10, Measurement Noise 2–3, N = 3–5. Slow assets / FX raise Measurement Noise or ATR Period for calmer lines; drop Factor if the baseline feels too jumpy. Reading the line Rising & curving upward momentum building; consider long bias until a clear downturn. Flat & choppy regime uncertainty; many traders stand aside or tighten risk. Falling & accelerating distribution lower; short bias until a clean upturn. Practical playbook Continuation entries After a Trend Up alert, wait for a minor pullback toward the baseline; enter on evidence the line keeps rising. Exit/reduce If long and the baseline flattens then turns down, trim or exit; reverse logic for shorts. Filters Add a higher-timeframe check (e.g., only take longs when the daily Kalman ATR is rising). Stops Place stops just beyond the baseline (e.g., baseline − x% ATR for longs) to avoid “tag & reverse” noise. Notes This is a guide to state and momentum, not a guarantee. Combine with your process (structure, volume, time-of-day) for decisions. Settings are asset/timeframe dependent; start with the presets and nudge Process/Measurement Noise until the baseline “feels right” for your market. Summary Kalman ATR takes the noise-reduction of a Kalman price estimate and couples it with volatility-scaled movement to produce a clean, adaptive baseline. If you liked the original Kalman Price Filter (), this is its trend-trading cousin purpose-built for cleaner state flips, intuitive trailing, and confluence with your existing
Indicador Pine Script®
por BackQuant
6
Risk Management Plan (Shares)What it does This indicator displays a compact risk-management panel on the chart (middle-right). It helps you size positions, quantify risk in % and $, estimate shares to buy, and derive suggested stop/target prices from your chosen risk and R/R ratio. It also shows the % move from entry to stop/target and a “Max. Share Price (per system)” threshold derived from your accepted loss and R/R. Why it’s useful Many losses come from oversizing and inconsistent risk. This panel keeps the key numbers in one place—capital exposure, shares, stop/target math, and % distances—so your trade planning remains disciplined and repeatable. Inputs 1. Capital Size ($) 2. Position Size (%) 3. Defined Risk (%) on capital 4. R/R Ratio (R:1) – enter R 5. Entry Price ($) (optional; if 0, the script uses close Calculations (key formulas) 1. Position Size ($) = Capital × Position Size (%) 2. Shares to Buy = floor(Position Size ($) ÷ Entry Price) 3. Defined Risk ($) = Capital × Defined Risk (%) 4. Suggested Stop Price = (Position Size ($) − Defined Risk ($)) ÷ Shares 5. Suggested Target Price = (Position Size ($) + Defined Risk ($) × R) ÷ Shares 6. Entry → Stop (%) = (Entry − Stop) ÷ Entry × 100 (displayed negative) 7. Entry → Target (%) = (Target − Entry) ÷ Entry × 100 8. Max. Share Price (per system) = Position Size ($) × R ÷ |Defined Risk ($)| How to use 1. Set Capital Size, Position Size (%), Defined Risk (%), and R/R. 2. Optionally set Entry Price (otherwise the script uses the chart’s close). 3. Read the panel: entry (blue), stop values (red), target values (green), risk (%) and ($) displayed negative for clarity. 4. Use Max. Share Price (per system) as a quick threshold check under your risk assumptions. Note: If the Suggested Target or Suggested Stop is not aligned with your trading plan, adjust Position Size (%), R/R Ratio, and/or Defined Risk (%). The panel will update the levels accordingly so you can match your plan. Notes & limitations * Indicator only (no signals or strategy backtest). * No lookahead/repainting; values depend on user inputs and current chart data. * Educational use only; trading involves risk. Consider fees, slippage, and market conditions. Version: v1.0 – Initial release (Pine Script v6)
Indicador Pine Script®
por Yesid_Correa_Cano
Bias + VWAP Pullback — v4 (PA + BOS/CHOCH)Simple idea: I identify the trend (bias) from the larger timeframe, and only trade pullbacks to the VWAP/EMA during liquidity (London/New York). When the trend is clear, gold moves strongly, and its pullbacks to the balance lines provide clear opportunities. Timeframe and Sessions (Cairo Time) Analysis: H1 to determine the trend. Implementation: 5m (or 1m if professional). Trading window: London Opening: 10:00–12:30 New York Opening: 16:30–19:00 (avoid the rest of the day unless there is exceptional traffic). Direction determination (BIAS) On H1: If the price is above the 200 EMA and the daily VWAP is bullish and the price is above it → uptrend (long-only). If the price is below the 200 EMA and the daily VWAP is bearish and the price is below it → bearish trend (short-only). Determine your levels: yesterday's high/low (PDH/PDL) + approximate Asia range (03:00–09:30). Entry Rules (Setup A: Trend Continuation) Asia range breakout towards Bias during liquidity window. Wait for a withdrawal to: Daily VWAP, or EMA50 on 5m frame (best if both cross). Confirmation: Confirmation low/high on 5m (HL buy/LH sell) + clear impulse candle (Body is greater than average of last 10 candles). Entry: Buy: When the price returns above VWAP/EMA50 with a confirmation candle close. Sell: The exact opposite. Stop Loss (SL): Below/above the last confirmation low/high or ATR(14, 5m) x 1.5 (largest). Objectives: TP1 = 1R (Close 50% and move the rest Break-even). TP2 = 2.5R to 3R or at an important HTF level (PDH/PDL/Bid/Demand Zone). Entry Rules (Setup B: Reversion to VWAP – “Mean Reversion”) Use with extreme caution, once daily maximum: Price deviation from VWAP by more than ~1.5 x ATR(14, 5m) with rejection candles appearing near PDH/PDL. Reverse entry towards the return of VWAP. SL small behind rejection top/bottom. Main target: VWAP. (Don't get greedy — this scenario is for extended periods only.) News Filtering and Risk Management Avoid trading 15–30 minutes before/after strong US news (CPI, NFP, FOMC). Maximum daily loss: 1.5–2% of account balance. Risk per trade: 0.25–0.5% (if you are learning) or 0.5–1% (if you are experienced). Do not exceed two consecutive losing trades per day. Don't chase the market after the opportunity has passed — wait for the next pullback. Smart Deal Management After TP1: Move stop to entry point + trail the rest with EMA20 on 5m or ATR Trailing = ATR(14)×1.0. If the price touches a strong daily level (PDH/PDL) and fails to break, consider taking additional profit. If VWAP starts to flatten and breaks against the trend on H1, stop trading for the day. Quick Checklist (Before Entry) H1 trend is clear and consistent with 200EMA + VWAP. Penetrating the Asia range towards Bias. Clean pull to VWAP/EMA50 on 5m. Confirmation candle and real push. SL is logical (behind swing/ATR×1.5) and R :R ≥ 1:2. No red news coming soon. Example of "ready-made" settings EMA: 20, 50, 200 on 5m, 200 only on H1. VWAP: Daily (reset daily). ATR: 14 on 5m. Levels: PDH/PDL + Asia Band (03:00–09:30 Cairo). Gold Notes Gold is fast and sharp at the open; don't get in early — wait for the draw. Fakeouts are common before news: it is best to call with the trend after the price returns above/below VWAP. Don't expect 80% consistent wins every day — the advantage comes from discipline, filtering out bad days, and only withdrawing when you're on the right track. تعتبر شركة الماسة الألمانية أحد المؤسسات العاملة بالمملكة العربية السعودية ولها تاريخ طويل من الخدمات الكثيرة والمتنوعة التى مازالت تقدمها للكثير من العملاء داخل جميع مدن وأحياء المملكة حيث نقدم أفضل ما لدينا من خلال مجموعة الشركات التالية والتي من خلالها ستتلقي كل ما تحتاج إلية في كل المجال المختلفة فنحن نعمل منذ عام 2015 ولنا سابقات اعمال فى مختلف المجالات الحيوية التى نخدم من خلالها عملائنا ونوفر لهم أرخص الأسعار وبأعلى جودة من الممكن توفرها فى المجالات التالية :- خدمات تنظيف المنازل والفلل والشقق خدمات عزل الخزانات تنظيف غسيل صيانة اصلاح خدمات جلي البلاط والرخام والسيراميك خدمات نقل العفش عمالة فلبينية مدربة خدمات مكافحة الحشرات بجدة كل هذة الخدمات وأكثر نوفرها لكل المتعاقدين بأفضل الطرق مع توفير خطط وبرامج متنوعة لأتمام العمل المسنود إلينا بأفضل وأحدث الطرق الحديثة والعصرية سواء فى شركات النظافة بجدة ومكة المكرمة أو شركات نقل العفش بجدة عمالة فلبينية وباقى الخدمات مثل جلي وتلميع الرخام بمكة وجدة ولا ننسي شركة مكافحة حشرات بجدة التى ساعدت آلاف المواطنين على تنظيف منازلهم من الحشرات بأفضل مبيدات حشرية.
Indicador Pine Script®
por worldforhost
1
CM_Williams_Vix_Fix (v5) + Optional InverseCM_Williams_Vix_Fix (v5) + Optional Inverse This indicator is a modernized Pine v5 rewrite of Larry Williams’ classic Vix Fix, with an optional inverse mode to detect both capitulation lows (buy signals) and euphoric highs (sell signals). 🔎 What It Does Vix Fix (Buy-side): Mimics the behavior of the VIX by detecting panic/fear spikes when price makes unusually deep lows relative to recent closes. Inverse Vix Fix (Sell-side): Flips the logic to highlight euphoric/overbought spikes when price makes unusually high prints relative to recent closes. Works on any timeframe or instrument — originally built for stocks/futures that don’t have their own VIX. ⚙️ Inputs LookBack Period (pd): Number of bars to check for recent highs/lows. Bollinger Band Length (bbl): Period for volatility bands. Std Dev Multiplier (mult): Sensitivity of the bands. Percentile Lookback (lb, ph, pl): Optional percentile thresholds for extra filters. Show Range Lines (hp): Toggle percentile-based high/low markers. Show StdDev Bands (sd): Toggle Bollinger-style envelopes. Show Inverse (Sell) Version: Plots a red histogram for euphoric tops. 📊 Plots Green Histogram: Vix Fix (fear/panic spikes). Red Histogram: Inverse Vix Fix (euphoria spikes, optional). Orange Lines: Percentile-based thresholds (optional). Aqua Lines: Bollinger-style volatility bands (optional). 🧭 How to Use Green Spikes (Buy Vix Fix): Potential market bottoms when fear is high. Red Spikes (Inverse): Potential market tops when greed/euphoria is high. Works best when combined with: Trend filters (e.g. moving averages). Market structure tools (e.g. support/resistance, FVGs, liquidity levels). Other volatility/volume confirmations. ⚠️ Note: This is an indicator only (not a strategy). It highlights potential extremes in sentiment/volatility, but does not provide direct buy/sell orders. Always confirm with price action and risk management.
Indicador Pine Script®
por huhmonkey
Big Candle Trend█ OVERVIEW The "Big Candle Trend" indicator is a technical analysis tool written in Pine Script® v6 that identifies large signal candles on the chart and determines the trend direction based on the analysis of all candles within a specified period. Designed for traders seeking a simple yet effective tool to identify key market movements and trends, the indicator provides clarity and precision through flexible settings, trend line visualization, and retracement lines on signal candles. █ CONCEPTS The goal of the "Big Candle Trend" indicator was to create a tool based solely on the size of candle bodies and their relative positions, making it universal and effective across all markets (stocks, forex, cryptocurrencies) and timeframes. Unlike traditional indicators that often rely on complex formulas or external data (e.g., volume), this indicator uses simple yet powerful price action logic. Large signal candles are identified by comparing their body size to the average body size over a selected period, and the trend is determined by analyzing price changes over a longer period relative to the average candle body size. Additionally, the indicator draws horizontal lines on signal candles, aiding in setting Stop Loss levels or delayed entries. █ FEATURES Large Signal Candle Detection: Identifies candles with a body larger than the average body multiplied by a user-defined multiplier, aligned with the trend (if the trend filter is enabled). Signals are displayed as triangles (green for bullish, red for bearish). Trend Analysis: Determines the trend (uptrend, downtrend, or neutral) by comparing the price change over a selected period (trend_length) to the average candle body size multiplied by a trend strength multiplier. The trend starts when: Uptrend: The price change (difference between the current close and the close from an earlier period) is positive and exceeds the average candle body size multiplied by the trend strength multiplier (avg_body_trend * trend_mult). Downtrend: The price change is negative and exceeds, in absolute value, the average candle body size multiplied by the trend strength multiplier. Neutral Trend: The price change is below the required threshold, indicating no clear market direction.The trend ends when the price change no longer meets the conditions for an uptrend or downtrend, transitioning to a neutral state or switching to the opposite trend when the price change reverses and meets the conditions for the new trend. This approach differs from standard methods as it focuses on price dynamics in the context of candle body size, offering a more intuitive and direct way to gauge trend strength. Smoothed Trend Line: Displays a trend line based on the average price (HL2, i.e., the average of the high and low of a candle), smoothed using a user-defined smoothing parameter. The trend line reflects the market direction but is not tied to breakouts, unlike many other trend indicators, allowing for more flexible interpretation. Retracement Lines: Draws horizontal lines on signal candles at a user-defined level (e.g., 0.618). The lines are displayed to the right of the candle, with a width of one candle. For bullish candles, the line is measured from the top of the body (close) downward, and for bearish candles, from the bottom of the body (close) upward, aiding in setting Stop Loss or delayed entries. Trend Option: Option to enable a trend filter that limits large candle signals to those aligned with the current trend, enhancing signal precision. Customizable Visualization: Allows customization of colors for uptrend, downtrend, and neutral states, trend line style, and shadow fill between the trend line and price. Alerts: Built-in alerts for large signal candles (bullish and bearish) and trend changes (start of uptrend, downtrend, or neutral trend). █ HOW TO USE Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configure Settings: Candle Settings: Average Period (Candles): Sets the period for calculating the average candle body size. Large Candle Multiplier: Multiplier determining how large a candle’s body must be to be considered "large". Trend Settings: Trend Period: Period for analyzing price changes to determine the trend. Trend Strength Multiplier: Multiplier setting the minimum price change required to identify a significant trend. Trend Line Smoothing: Degree of smoothing for the trend line. Show Trend Line: Enables/disables the display of the trend line. Apply Trend Filter: Limits large candle signals to those aligned with the current trend. Trend Colors: Customize colors for uptrend (green), downtrend (red), and neutral (gray) states, and enable/disable shadow fill. Retracement Settings: Retracement Level (0.0-1.0): Sets the level for lines on signal candles (e.g., 0.618). Line Width: Sets the thickness of retracement lines. Interpreting Signals: Bullish Signal: A green triangle below the candle indicates a large bullish candle aligned with an uptrend (if the trend filter is enabled). A horizontal line is drawn to the right of the candle at the retracement level, measured from the top of the body downward. Bearish Signal: A red triangle above the candle indicates a large bearish candle aligned with a downtrend (if the trend filter is enabled). A horizontal line is drawn to the right of the candle at the retracement level, measured from the bottom of the body upward. rend Line: Shows the market direction (green for uptrend, red for downtrend, gray for neutral). Unlike many indicators, the trend line’s color is not tied to its breakout, allowing for more flexible interpretation of market dynamics. Alerts: Set up alerts in TradingView for large signal candles or trend changes to receive real-time notifications. Combining with Other Tools: Use the indicator alongside other technical analysis tools, such as support/resistance levels, RSI, moving averages, or Fair Value Gaps (FVG), to confirm signals. █ APPLICATIONS Price Action Trading: Large signal candles can indicate key market moments, such as breakouts of support/resistance levels or strong price rejections. Use signal candles in conjunction with support/resistance levels or FVG to identify entry opportunities. Retracement lines help set Stop Loss levels (e.g., below the line for bullish candles, above for bearish) or delayed entries after price returns to the retracement level and confirms trend continuation. Note that large candles often generate Fair Value Gaps (FVG), which should be considered when setting Stop Loss levels. Trend Strategies: Enable the trend filter to limit signals to those aligned with the dominant market direction. For example, in an uptrend, look for large bullish candles as continuation signals. The indicator can also be used for position pyramiding, adding positions as subsequent large candles confirm trend continuation. Practical Approach: Large candles with high volume may indicate strong market participation, increasing signal reliability. The trend line helps visually assess market direction and confirm large candle signals. Retracement lines on signal candles aid in identifying key levels for Stop Loss or delayed entries. █ NOTES The indicator works across all markets and timeframes due to its universal logic based on candle body size and relative positioning. Adjust settings (e.g., trend period, large candle multiplier, retracement level) to suit your trading style and timeframe. Test the indicator on various markets (stocks, forex, cryptocurrencies) and timeframes to optimize its performance. Use in conjunction with other technical analysis tools to enhance signal accuracy.
Indicador Pine Script®
por Uncle_the_shooter
RSI Divergence + Hidden RSI Divergence + Hidden (TV-like pairing, final) What it does This indicator plots RSI and automatically detects both regular and hidden divergences by pairing RSI pivots with price pivots. It supports a TradingView-like loose pairing (within a user-defined bar tolerance) and a strict same-bar pairing. Detected signals are drawn with lines and optional labels on the RSI pane for quick visual verification. Divergence logic Regular Bullish (label: Bull) Price makes a lower low while RSI makes a higher low → potential upward reversal. Regular Bearish (label: Bear) Price makes a higher high while RSI makes a lower high → potential downward reversal. Hidden Bullish (label: H_Bull) Price makes a higher low while RSI makes a lower low → trend-continuation bias upward. Hidden Bearish (label: H_Bear) Price makes a lower high while RSI makes a higher high → trend-continuation bias downward. All conditions use pivot-to-pivot comparisons with optional equality tolerance for price and RSI to reduce false “equal” mismatches. Pairing modes TV-like Pairs the latest price and RSI pivots if their pivot bars occur within ±tolBars. A lightweight “pending” buffer allows pairing a newly detected pivot with a recent opposite pivot that arrived a few bars earlier/later (within tolerance). Same Bar Price and RSI pivots must occur on the exact same bar to form a pair. Key inputs RSI Source & Length: srcRsi, rsiLen (default 14). RSI line and reference levels (70/50/30) can be shown/hidden. Pivot Window: leftBars, rightBars for both price and RSI pivots. Pairing: pairMode = TV-like or Same Bar; tolBars for bar tolerance (TV-like only). Price Pivot Basis: priceMode = High/Low (default) or Close. Equality Tolerance: allowEqual (use >=/<=), priceEpsTks (ticks) for price equality slack, rsiEps (points) for RSI equality slack. Visibility: showRSI, showRegular, showHidden, showLabels. Visuals Lines (on RSI): Regular Bearish: red Regular Bullish: lime Hidden Bearish: orange Hidden Bullish: teal Labels (optional): "Bear", "Bull", "H_Bear", "H_Bull" placed on the RSI series at the second pivot. Alerts Four alert conditions are provided and fire when the corresponding divergence is confirmed: Bear (Regular) Bull (Regular) H_Bear (Hidden) H_Bull (Hidden) Notes & tips Divergences are evaluated only when both price and RSI pivots exist and can be paired under the selected mode. Pivot sensitivity: smaller leftBars/rightBars → earlier but noisier signals; larger values → fewer, more stable pivots. Tolerance: If you miss valid setups because pivots land a few bars apart, use TV-like with a small tolBars (e.g., 1–2). If you prefer stricter confirmation, use Same Bar. Equality slack: Use priceEpsTks and rsiEps to avoid rejecting near-equal highs/lows due to tiny differences. Works on any symbol/timeframe; as with all divergence tools, treat signals as context—combine with trend, structure, and risk management.
Indicador Pine Script®
por h.kitano19810517
Turtle Trading with LayeringCrafted professional write-up for TradingView indicator publication. Turtle Trading with Layering System A complete implementation of the famous turtle trading strategy with proper position layering/pyramiding for manual trading. Features Core Turtle System: 20-day breakout entries (primary signals) 55-day breakout entries (backup after losses) 10-day reverse breakout exits ATR-based stop losses and position sizing Position Layering: Build positions gradually as trends develop Add up to 4 units per position Each unit added every 0.5 ATR in your favor Single stop loss protects entire position
Indicador Pine Script®
por Sakett_Guptaa
ATR Future Movement Range Projection The "ATR Future Movement Range Projection" is a custom TradingView Pine Script indicator designed to forecast potential price ranges for a stock (or any asset) over short-term (1-month) and medium-term (3-month) horizons. It leverages the Average True Range (ATR) as a measure of volatility to estimate how far the price might move, while incorporating recent momentum bias based on the proportion of bullish (green) vs. bearish (red) candles. This creates asymmetric projections: in bullish periods, the upside range is larger than the downside, and vice versa. The indicator is overlaid on the chart, plotting horizontal lines for the projected high and low prices for both timeframes. Additionally, it displays a small table in the top-right corner summarizing the projected prices and the percentage change required from the current close to reach them. This makes it useful for traders assessing potential targets, risk-reward ratios, or option strategies, as it combines volatility forecasting with directional sentiment. Key features: - **Volatility Basis**: Uses weekly ATR to derive a stable daily volatility estimate, avoiding noise from shorter timeframes. - **Momentum Adjustment**: Analyzes recent candle colors to tilt projections toward the prevailing trend (e.g., more upside if more green candles). - **Time Horizons**: Fixed at 1 month (21 trading days) and 3 months (63 trading days), assuming ~21 trading days per month (excluding weekends/holidays). - **User Adjustable**: The ATR length/lookback (default 50) can be tweaked via inputs. - **Visuals**: Green/lime lines for highs, red/orange for lows; a semi-transparent table for quick reference. - **Limitations**: This is a probabilistic projection based on historical volatility and momentum—it doesn't predict direction with certainty and assumes volatility persists. It ignores external factors like news, earnings, or market regimes. Best used on daily charts for stocks/ETFs. The indicator doesn't generate buy/sell signals but helps visualize "expected" ranges, similar to how implied volatility informs option pricing. ### How It Works Step-by-Step The script executes on each bar update (typically daily timeframe) and follows this logic: 1. **Input Configuration**: - ATR Length (Lookback): Default 50 bars. This controls both the ATR calculation period and the candle count window. You can adjust it in the indicator settings. 2. **Calculate Weekly ATR**: - Fetches the ATR from the weekly timeframe using `request.security` with a length of 50 weeks. - ATR measures average price range (high-low, adjusted for gaps), representing volatility. 3. **Derive Daily ATR**: - Divides the weekly ATR by 5 (approximating 5 trading days per week) to get an equivalent daily volatility estimate. - Example: If weekly ATR is $5, daily ATR ≈ $1. 4. **Define Projection Periods**: - 1 Month: 21 trading days. - 3 Months: 63 trading days (21 × 3). - These are hardcoded but based on standard trading calendar assumptions. 5. **Compute Base Projections**: - Base projection = Daily ATR × Days in period. - This gives the total expected movement (range) without direction: e.g., for 3 months, $1 daily ATR × 63 = $63 total range. 6. **Analyze Candle Momentum (Win Rate)**: - Counts green candles (close > open) and red candles (close < open) over the last 50 bars (ignores dojis where close == open). - Total colored candles = green + red. - Win rate = green / total colored (as a fraction, e.g., 0.7 for 70%). Defaults to 0.5 if no colored candles. - This acts as a simple momentum proxy: higher win rate implies bullish bias. 7. **Adjust Projections Asymmetrically**: - Upside projection = Base projection × Win rate. - Downside projection = Base projection × (1 - Win rate). - This skews the range: e.g., 70% win rate means 70% of the total range allocated to upside, 30% to downside. 8. **Calculate Projected Prices**: - High = Current close + Upside projection. - Low = Current close - Downside projection. - Done separately for 1M and 3M. 9. **Plot Lines**: - 3M High: Solid green line. - 3M Low: Solid red line. - 1M High: Dashed lime line. - 1M Low: Dashed orange line. - Lines extend horizontally from the current bar onward. 10. **Display Table**: - A 3-column table (Projection, Price, % Change) in the top-right. - Rows for 1M High/Low and 3M High/Low, color-coded. - % Change = ((Projected price - Close) / Close) × 100. - Updates dynamically with new data. The entire process repeats on each new bar, so projections evolve as volatility and momentum change. ### Examples Here are two hypothetical examples using the indicator on a daily chart. Assume it's applied to a stock like AAPL, but with made-up data for illustration. (In TradingView, you'd add the script to see real outputs.) #### Example 1: Bullish Scenario (High Win Rate) - Current Close: $150. - Weekly ATR (50 periods): $10 → Daily ATR: $10 / 5 = $2. - Last 50 Candles: 35 green, 15 red → Total colored: 50 → Win Rate: 35/50 = 0.7 (70%). - Base Projections: - 1M: $2 × 21 = $42. - 3M: $2 × 63 = $126. - Adjusted Projections: - 1M Upside: $42 × 0.7 = $29.4 → High: $150 + $29.4 = $179.4 (+19.6%). - 1M Downside: $42 × 0.3 = $12.6 → Low: $150 - $12.6 = $137.4 (-8.4%). - 3M Upside: $126 × 0.7 = $88.2 → High: $150 + $88.2 = $238.2 (+58.8%). - 3M Downside: $126 × 0.3 = $37.8 → Low: $150 - $37.8 = $112.2 (-25.2%). - On the Chart: Green/lime lines skewed higher; table shows bullish % changes (e.g., +58.8% for 3M high). - Interpretation: Suggests stronger potential upside due to recent bullish momentum; useful for call options or long positions. #### Example 2: Bearish Scenario (Low Win Rate) - Current Close: $50. - Weekly ATR (50 periods): $3 → Daily ATR: $3 / 5 = $0.6. - Last 50 Candles: 20 green, 30 red → Total colored: 50 → Win Rate: 20/50 = 0.4 (40%). - Base Projections: - 1M: $0.6 × 21 = $12.6. - 3M: $0.6 × 63 = $37.8. - Adjusted Projections: - 1M Upside: $12.6 × 0.4 = $5.04 → High: $50 + $5.04 = $55.04 (+10.1%). - 1M Downside: $12.6 × 0.6 = $7.56 → Low: $50 - $7.56 = $42.44 (-15.1%). - 3M Upside: $37.8 × 0.4 = $15.12 → High: $50 + $15.12 = $65.12 (+30.2%). - 3M Downside: $37.8 × 0.6 = $22.68 → Low: $50 - $22.68 = $27.32 (-45.4%). - On the Chart: Red/orange lines skewed lower; table highlights larger downside % (e.g., -45.4% for 3M low). - Interpretation: Indicates bearish risk; might prompt protective puts or short strategies. #### Example 3: Neutral Scenario (Balanced Win Rate) - Current Close: $100. - Weekly ATR: $5 → Daily ATR: $1. - Last 50 Candles: 25 green, 25 red → Win Rate: 0.5 (50%). - Projections become symmetric: - 1M: Base $21 → Upside/Downside $10.5 each → High $110.5 (+10.5%), Low $89.5 (-10.5%). - 3M: Base $63 → Upside/Downside $31.5 each → High $131.5 (+31.5%), Low $68.5 (-31.5%). - Interpretation: Pure volatility-based range, no directional bias—ideal for straddle options or range trading. In real use, test on historical data: e.g., if past projections captured actual moves ~68% of the time (1 standard deviation for ATR), it validates the volatility assumption. Adjust the lookback for different assets (shorter for volatile cryptos, longer for stable blue-chips).
Indicador Pine Script®
por bradleypbarber6
WarrIA Pro v4.0 - Whales Behavior Simulator# 🐋 WarrIA Pro V.0 - Whales Behavior Simulator ## 🚀 The Ultimate Strategy for Tracking and Following Crypto Market Whales ### 📊 OVERVIEW **WarrIA Pro v.0 - Whales eresistance, VWAP, and POC #### 4. **🎨 Advanced Visualization** - Adaptive **Ichimoku Clouds** - **Bollinger Bands** with squeeze detection - **Volume Profile** with Point of Control (POC) - Automatic **Fibonacci levels** - **Candlestick patterns** (15+ patterns detected) ### 💡 SYSTEM COMPONENTS #### **Market Analysis (35%)** - Multi-timeframe trend analysis - Market regime detection - Breakout and reversal identification #### **OnChain Metrics (35%)** - Simulated MVRV, NVT, and on-chain metrics - Volume-based sentiment analysis - Integrated Fear & Greed Index #### **Volume & Volatility (15%)** - Abnormal volume analysis - Volatility-based position sizing - Exhaustion move detection #### **BTC Correlation (10%)** - Dynamic Bitcoin correlation - Beta analysis for risk management - BTC/Altcoin divergences #### **Sentiment Analysis (5%)** - Long/Short ratio analysis - Open Interest monitoring - Funding rate simulation ### 📊 PROVEN PERFORMANCE - **Average Win Rate**: 75-85% in backtests - **Profit Factor**: 1.5-2.5 depending on asset - **Maximum Drawdown**: < 15% with risk management - **Sharpe Ratio**: > 1.5 in 30-day periods ### 🛠️ CUSTOMIZABLE SETTINGS #### **Trading Modes** - Conservative (low risk) - Balanced (moderate risk) - Aggressive (high risk/return) #### **Supported Timeframes** - 5m, 15m, 30m, 1h, 4h, 1D - Best performance on 1h and 4h #### **Risk Management** - ATR-based automatic Stop Loss - Dynamic Take Profit with trailing - Volatility-based position sizing ### 🎨 CUSTOMIZABLE INTERFACE - **6 fully repositionable panels** - **Adjustable colors and sizes** - **Visual and audio alerts** - **Multi-language support** (PT/EN) ### 📱 INTELLIGENT ALERTS 1. **Long/Short Entry** with high confluence 2. **Whale Activity** detected 3. **Stop Hunt** in progress 4. **RSI/MACD Divergences** 5. **Important pattern breakouts** 6. **Abnormal volume** detected ### 🎓 IDEAL FOR - **Day Traders**: Precise intraday signals - **Swing Traders**: Medium-term trend identification - **Investors**: Institutional accumulation analysis - **Beginners**: Intuitive interface with clear recommendations - **Professionals**: Advanced metrics and full customization ### ⚡ COMPETITIVE ADVANTAGES 1. **Market-unique** whale behavioral analysis 2. **Proprietary AI** not available in other indicators 3. **Integrated backtesting** with real-time statistics 4. **Continuous support** and regular updates 5. **Exclusive Discord community** ### 🔧 REQUIREMENTS - TradingView Pro, Pro+, or Premium - Works on all markets (Crypto, Forex, Stocks) - Optimized for Bitcoin and top 20 cryptocurrencies ### 💬 SUPPORT & COMMUNITY - Exclusive Discord for users - Detailed video tutorials - Pre-configured settings for different markets - Monthly updates with improvements ### ⚠️ IMPORTANT DISCLAIMERS - Past results do not guarantee future performance - Always use appropriate risk management - This is an educational tool and does not constitute financial advice - Test on demo account before using real capital ### 🏆 WARRANTY - 30-day trial period - Unlimited technical support - Free updates for 1 year --- **🔥 Join hundreds of traders already successfully following the whales!** **💎 WarrIA Pro v.0 - Where Artificial Intelligence meets Smart Money** --- *Version 0 | Last update: September 2025* *© 2025 WarrIA Trading Systems - All rights reserved*
Estratégia Pine Script®
por marcus_loureiro
@M5V | Standard Deviation (Basic) | GCTStandard Deviation (Basic) — Patch Notes What’s new • Two custom sessions (A & B) only—no presets. • Timezone-aware sessions (IANA, e.g., America/New_York, Europe/London). • Exact width matching: SD lines span exactly from the session’s first bar to its last bar (same as the box). • Start/End verticals control: None, Start only, End only, or Both. • Anchor choice: Build ranges from either Wicks or Bodies. • Deviation style: Full (1.0× steps) or Half (0.5× steps), with adjustable count. • Optional Equilibrium (midline). • Global line style and box visibility toggles. How it works (under the hood) 1. Session tracking: • At each session start (based on your Session + Timezone) the script stores the start bar and initializes hi/lo. • While the session is active, it updates hi/lo using Wicks or Bodies (your choice) and extends the box to the current bar. • On session end, it records the end bar. 2. Deviation drawing: • Computes range = high − low. • Draws symmetric SD bands above/below using your Full/Half setting and count. • All SD lines are drawn from start bar → end bar so they match the box width exactly. • If Equilibrium is on, the midline (avg of high/low) is drawn across the same width. 3. Start/End lines: • According to Start/End Lines setting, verticals are drawn at the start bar, end bar, both, or not at all—each spanning from session low to high. Quick use • Pick Session windows for A/B and set each Timezone. • Choose Wicks or Bodies, Full/Half deviations, Count, Color, and whether to show Equilibrium and Boxes. • Set Start/End Lines to control the vertical markers. • Optional: change Line Style (solid/dotted/dashed).
Indicador Pine Script®
por M5V
BB TrendSyncBB TrendSync - Advanced Dual-Band Momentum Deviation System Core Innovation and Originality This indicator transforms traditional Bollinger Band analysis through three key innovations that distinguish it from standard implementations: 1. Dual-Band Percentage Oscillator Architecture: Unlike conventional Bollinger Bands that display price levels, this system converts dual Bollinger Band calculations into percentage-based oscillators. The first system uses extended lookback periods (40-period base with 65-period standard deviation) for macro trend detection, while the second employs rapid response parameters (8-period base with 66-period standard deviation) for micro momentum capture. Each system independently calculates where price sits within its band range as a percentage from 0-100. 2. Momentum Deviation Enhancement: The breakthrough innovation applies standard deviation analysis to the percentage oscillator readings themselves. Rather than analyzing price volatility, this technique measures the volatility of the oscillator's position within its range over a specified period (typically 25 periods with 0.8 multiplier). This creates dynamic "bands around the bands" that adapt to changing market momentum characteristics. 3. Multi-Modal Signal Synthesis: The system provides five distinct methods for combining dual-band signals, from simple arithmetic averaging to consensus requirements where both systems must agree. The "Average" mode specifically utilizes momentum deviation crossovers rather than basic threshold crossovers, creating refined entry timing. Mathematical Framework Percentage Conversion Formula: The core calculation transforms standard Bollinger Band readings into normalized percentages using the formula: BB_Percent = 100 * (Source - Lower_Band) / (Upper_Band - Lower_Band) Momentum Deviation Calculation: The system then calculates the standard deviation of these percentage readings: MD_StdDev = StandardDeviation(BB_Percent, MD_Length) Upper_MD_Band = BB_Percent + (MD_Multiplier * MD_StdDev) Lower_MD_Band = BB_Percent - (MD_Multiplier * MD_StdDev) Signal Generation Logic: Primary signals occur when momentum deviation bands cross predetermined thresholds, providing earlier and more reliable entry points than standard Bollinger Band touches. The system tracks band states dynamically, changing visual indicators when momentum shifts are detected. Value Proposition for Closed-Source Distribution This indicator justifies TOP ELITE access through several proprietary elements: Algorithmic Sophistication: The momentum deviation methodology represents original research into oscillator volatility analysis. While Bollinger Bands are public domain, applying volatility analysis to the percentage oscillator itself is a novel approach that required extensive backtesting and optimization. Advanced Signal Processing: The five-mode signal combination system with momentum deviation integration provides significantly more nuanced analysis than standard Bollinger Band implementations. The state tracking and visual feedback systems offer professional-grade market analysis tools. Comprehensive Analytics Engine: The integrated performance measurement system calculates advanced metrics including Sortino ratio, Calmar ratio, and Kelly Criterion position sizing guidance in real-time, providing institutional-quality analytics typically found in expensive trading platforms. Professional Visualization Framework: The dynamic color-coding system, gradient oscillator bars, and state-aware visual elements provide immediate market sentiment feedback that goes far beyond basic indicator plotting. Technical Implementation Details Dual-System Parameters: System 1 (Macro): 40-period SMA base, 65-period standard deviation calculation, 1.0 multiplier System 2 (Micro): 8-period SMA base, 66-period standard deviation calculation, 1.9 multiplier Momentum Deviation Settings: Standard deviation length: 25 periods (optimized for detecting momentum shifts) Multiplier: 0.8 (calibrated to reduce false signals while maintaining sensitivity) Threshold Configuration: Long threshold: 62% (upper momentum zone entry) Short threshold: 60% (lower momentum zone entry) Close thresholds create tight range for precision timing Signal Modes Explained: BB1 Only: Uses macro system exclusively for trend-following signals BB2 Only: Uses micro system exclusively for momentum scalping Average: Employs momentum deviation crossovers of averaged systems Both Required: Demands agreement from both systems before signaling Either One: Triggers when any system generates signals Performance Metrics Explained Core Performance Metrics: Net Profit: Total percentage return from strategy implementation, showing bottom-line effectiveness of the signal generation system. Win Rate: Percentage of profitable trades, indicating signal accuracy. Combined with profit factor analysis to ensure statistical reliability. Total Trades: Number of completed round-trip trades for statistical significance assessment. Current P&L: Real-time profit/loss percentage of active positions with continuous updates. Risk Assessment Metrics: Max Drawdown: Largest peak-to-trough equity decline, crucial for risk management and position sizing decisions. Calmar Ratio: Annualized return divided by maximum drawdown, providing risk-adjusted performance measurement. Advanced Risk Metrics: Sharpe Ratio: Excess return per unit of total volatility, industry standard for risk-adjusted performance comparison. Sortino Ratio: Similar to Sharpe but focuses on downside deviation only, providing more realistic risk assessment. Kelly Criterion (Half): Optimal position sizing calculation based on win probability and average win/loss ratios, using conservative half-Kelly approach. Real-Time Status: Position: Current market exposure (Long/Short/Cash) MD State: Momentum deviation status (Bullish/Bearish/Neutral) Practical Application Setup Recommendations: Use "Average" mode for balanced signal generation combining both timeframe perspectives Monitor momentum deviation band colors for trend confirmation Observe gradient oscillator position for market sentiment assessment Utilize performance metrics for strategy optimization and risk management Adjust thresholds based on market volatility characteristics Market Applicability: The system functions across all timeframes and instruments, with particular effectiveness in trending markets where momentum persistence provides statistical edge. The dual-band approach captures both short-term momentum shifts and longer-term trend developments. Competitive Advantages Unlike standard Bollinger Band indicators that simply plot price bands, this system provides: Quantified momentum analysis through volatility-of-volatility calculations Multi-modal signal processing for diverse market conditions Professional-grade performance analytics with institutional metrics Dynamic visual feedback systems for immediate market assessment Optimized parameter sets developed through extensive backtesting 12H SUI 1H BTC Since 2023 Risk Disclaimer This indicator is designed for educational and analytical purposes. It does not constitute financial advice or trading recommendations. Past performance does not guarantee future results. Trading involves substantial risk of loss, and you should carefully consider your financial situation before making trading decisions. The indicator's signals should be part of comprehensive analysis and never the sole basis for trading decisions. Always conduct independent research. Technical Requirements Compatible with all TradingView chart types and timeframes. Optimized for real-time analysis with efficient computational algorithms suitable for live trading environments.
Indicador Pine Script®
por GForge
APO Channel // SuperTrend Optimized📌 Complete Long Description (Final Version) APO Channel – Adaptive Breakout Detection 🔹 How it works The originality of this script lies in the combination of two complementary approaches: An adaptive channel, whose responsiveness is based on fractal dimension and volatility. A breakout & candle confirmation system, providing clear visual trade signals. Unlike standard channels (e.g., Bollinger Bands), which use a fixed deviation or multiplier, the APO Channel dynamically adjusts its baseline (Filt) and bands (Filt1, Filt2) in real time. This ensures that signals are not only adaptive to market conditions but also reinforced when both indicators align simultaneously, filtering out false moves and highlighting stronger trade opportunities. 🔹 Why this combination matters By merging an adaptive volatility channel with a breakout confirmation system, the script provides traders with a more reliable view of momentum shifts. The channel identifies when markets are consolidating versus expanding. The breakout signals confirm actual momentum surges. When both conditions trigger together, the likelihood of a meaningful move increases, making signals clearer and more robust than using either tool alone. 🔹 Visual signals The script offers optional candle coloring and breakout labels: Bullish signals are shown when price breaks above the adaptive upper band. Bearish signals appear when price breaks below the adaptive lower band. For clearer visualization, traders can activate the blue, green, and gray candles by clicking on the channel bands. 👉 This makes simultaneous signals and the prevailing trend much more visible, helping traders quickly spot alignment between the adaptive channel and breakout confirmation. 🔹 Optimized Default Settings Channel Length: 26 Bands Distance: 1 ATR Period: 1 Source: (High + Low)/2 ATR Multiplier: 2 These parameters have been optimized for balanced responsiveness across assets. 👉 Signals are particularly relevant for scalping entries on the 3-minute timeframe, where quick detection of breakouts provides a trading edge. The indicator works seamlessly on futures, crypto, forex, stocks, and most other instruments, making it a versatile tool for traders across markets. 🔹 How to use Use breakouts above the channel as a potential entry signal for bullish momentum trades. Use breakouts below the channel as a potential entry signal for bearish momentum trades. When both the breakout signal and candle confirmation occur simultaneously, consider it a stronger trading signal. Activate candle coloring on the channel bands to make signals and trend more visible. Combine with other tools (volume, higher timeframe bias) for additional confirmation. ✅ Why this script adds value Most breakout tools rely on static measures (fixed standard deviation, moving average envelopes, etc.). The APO Channel introduces an adaptive filter based on fractal dimension analysis, while also reinforcing signals through dual confirmation (channel breakouts + candle regime). This makes it a versatile tool for traders seeking adaptive, visually clear, and reliable breakout detection across multiple markets and timeframes.
Indicador Pine Script®
por Oliver747
Session Levels — London / 08:30 / 09:30 + Daily/WeeklyThis Key level shows you all the levels during the day, it can be used as support & resistance. You can change the UTC to your own time zone if you want to, but mainly this Indicator is based on UTC-4 NYC Time zone. REMINDER: This indicator is only meant to guide you to the true key levels during the day, all risks you take is solely on you. This Indicator is made by BOZOGAMING123 his channel in youtube is, D4X.
Indicador Pine Script®
por Bozo123Gaming