Começar

Padrões gráficos

Watermark with Session Boxes (by Rufi)Watermark & Session Boxes - Chart Branding Tool What it does: Combines professional chart watermarking with automated trading session visualization for clean, branded analysis. Key Features: Smart Session Boxes: Auto-draws boxes around Asia (8PM-11:59PM), London (2AM-5AM), and NY (7AM-10AM) sessions using high/low detection Custom Watermark: Professional text overlay with your brand/tagline Full Customization: Adjustable colors, transparency (0-100%), and display limits (1-30 days) How it works: Uses Pine Script's time() function to detect session periods, tracks price extremes during each session, then draws filled rectangles from session high to low. Perfect for identifying key support/resistance levels from major trading periods. Best for: Intraday traders who want branded charts with clear session-based S/R levels. Ideal for forex, indices, and crypto on lower timeframes.
Indicador Pine Script®
por RufiFX
Mystic Pulse V2.0 [CHE] Mystic Pulse V2.0 — Adaptive DI streaks with gradient intensity for clearer trend persistence Summary Mystic Pulse V2.0 measures directional persistence by counting how often the positive or negative directional index strengthens and dominates. These counts drive gradient colors for bars, wicks, and helper plots, so intensity reflects local momentum rather than absolute values. A windowed normalization and gamma control adapt the visuals to recent conditions, preventing one regime from overpowering the next. The result is an immediate, at-a-glance read of trend direction and stamina without relying on crossovers alone. Motivation: Why this design? Classical DI and ADX signals can flip during choppy phases or feel sluggish in calm regimes. This script focuses on persistence: it increments a positive or negative streak only when the corresponding directional pressure both strengthens compared with the prior bar and dominates the other side. Simple OHLC pre-smoothing reduces micro-noise, and local normalization keeps the scale relevant to the last segment of data, not a distant past. What’s different vs. standard approaches? Reference baseline: Traditional DI and ADX lines with crossovers and fixed-scale thresholds. Architecture differences: Wilder-style recursive smoothing on true range and directional movement. Streak counters for positive and negative pressure that advance only on strengthening and dominance. Windowed normalization and gamma shaping for visual intensity. Wick coloring via `plotcandle` with forced overlay from a pane indicator. Practical effect: Bars and wicks grow more vivid during sustained pressure and fade during indecision. The column plots show streak depth directly, which helps filter one-bar flips. How it works (technical) 1. Pre-smoothing: Open, high, low, and close are averaged over a short simple moving window to dampen micro-ticks. 2. Directional inputs: True range and directional movement are formed from the smoothed prices, then recursively smoothed using a Wilder-style update that carries prior state forward. 3. DI comparison: The script derives positive and negative directional ratios relative to smoothed range. A side advances its streak when it increases compared with the previous bar and exceeds the opposite side. The other streak resets. 4. Trend score and color base: The difference between positive and negative streaks defines the active side. 5. Normalization and gamma: The absolute streak magnitude and each side’s streak are normalized within a rolling window. Gamma parameters reshape intensity so mid-range values are either compressed or emphasized. 6. Rendering: Two column plots show positive and negative streak counts in the pane with gradient colors. A square marker at the bottom uses the global gradient as a compact heat cue. Bar colors on the main chart use either the gradient, neutral trend colors, or no paint depending on toggles. Wick, border, and candle overlays are colored via `plotcandle` with forced overlay. 7. State handling: Smoothed values and counters persist across bars; initialization uses first available values without lookahead. No higher-timeframe requests are used, so repaint risk is limited to normal live-bar evolution. Parameter Guide Show neutral candles (fallback) — Paints main-chart bars in plain up or down colors when gradients are disabled — Default false — Use when you prefer simple up/down coloring. Show last N shapes — Limits bottom square markers — Default 333 — Reduce if your chart gets cluttered. ADX smoothing length — Controls the Wilder smoothing window for range and directional movement — Default 9 — Larger values increase stability but respond later. OHLC SMA length — Pre-smoothing for inputs — Default 1 — Increase slightly on noisy assets to reduce flip risk. Gradient barcolor — Enables gradient bar paint on the main chart — Default true — Turn off to use wicks only or neutral bars. Wick coloring — Colors wicks, borders, and bodies via overlay — Default true — Disable if it conflicts with other overlays. Gradient window — Lookback for local normalization — Default 100 — Shorter windows adapt faster; longer windows provide steadier intensity. Gradient transparency — Overall transparency for gradient paints — Default 0 — Increase to make gradients subtler. Gamma bars/shapes — Contrast for bar and shape intensity — Default 0.70 — Lower values brighten mid-tones; higher values compress them. Gamma plots — Contrast for the column plots — Default 0.80 — Tune separately from bar intensity. Wick transparency — Transparency for wick coloring — Default 0 — Raise to let price action show through. Up/Down colors (dark and neon) — Base and accent colors for both directions — Defaults as provided — Adjust to match your chart theme. Reading & Interpretation Pane columns: The green column represents the positive streak count; the red column represents the negative streak count. Taller columns signal stronger persistence. Gradient marker: The bottom square indicates the active side and persistence strength at a glance. Main-chart bars and wicks: Color direction shows the dominant side; intensity reflects the normalized and gamma-shaped streak magnitude. Faded tones suggest weak or fading pressure. Practical Workflows & Combinations Trend following: Enter in the direction of the active side when the corresponding column expands over several bars. Confirm with structure such as higher highs and higher lows or lower highs and lower lows. Exits and stops: Consider scaling out when intensity fades toward mid-range while structure stalls. Tighten stops after extended streaks or when wicks lose intensity. Multi-asset/Multi-TF: Use defaults for liquid assets on intraday to swing timeframes. For highly volatile instruments, raise smoothing and the normalization window. For calm markets, lower them to regain sensitivity. Behavior, Constraints & Performance Repaint/confirmation: Values update during the live bar and stabilize after bar close. No historical repaint beyond normal live-bar updates. security()/HTF: Not used; cross-timeframe repaint paths do not apply. Resources: Declared `max_bars_back` two thousand; no explicit loops or arrays; plot and label limits are generous. Known limits: Streak counters can remain elevated during slow reversals. Very short normalization windows can cause rapid intensity swings. Gaps or extreme spikes may temporarily distort intensity until the window adapts. Sensible Defaults & Quick Tuning Start with: ADX smoothing nine, OHLC SMA one, normalization window one hundred, gradient and wick coloring enabled, gamma around zero point seven to zero point eight. Too many flips: Increase ADX smoothing and the normalization window; consider a small bump in OHLC SMA. Too sluggish: Decrease ADX smoothing and the normalization window. Colors overpower chart: Increase gradient and wick transparency or raise gamma to compress mid-tones. What this indicator is—and isn’t This is a visualization and signal layer that represents directional persistence and intensity. It does not issue trade entries or exits on its own and is not predictive. Use it alongside market structure, volume, and risk controls. Disclaimer The content, including any code, is for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any instrument. Trading involves substantial risk, including the possible loss of principal. Past performance is not indicative of future results. Always do your own research and consider consulting a qualified professional.
Indicador Pine Script®
por chervolino
LQ sweep (DeadCat)This indicator provides a streamlined approach to Smart Money Concepts (SMC) market structure analysis, focusing on identifying liquidity sweep patterns at key structural levels. The script tracks price action to detect when institutional liquidity is being targeted through systematic structure breaks. Core Methodology: The indicator employs a dual-pivot system (20/2 bars) to identify market structure points internally, then monitors for liquidity sweeps at these levels: Trend Continuation Sweeps: When price breaks above Higher Highs (uptrend) or below Lower Lows (downtrend) Trend Reversal Sweeps: When price breaks below Higher Lows (uptrend) or above Lower Highs (downtrend) Market Structure Engine: Automatically establishes initial trend direction from first two pivot points Tracks structure progression internally without visual clutter Requires 2-candle confirmation (bullish/bearish) before finalizing new structure levels Maintains pending structure states until proper confirmation occurs Liquidity Sweep Detection: The indicator identifies four distinct liquidity sweep scenarios: Bullish Continuation: HH break in established uptrend Bearish Continuation: LL break in established downtrend Bullish Reversal: LH break signaling potential uptrend resumption Bearish Reversal: HL break signaling potential downtrend resumption Key Features: Simplified Interface: Single settings group for all liquidity sweep configurations Flexible Label Positioning: Choose where sweep labels appear on lines Consistent Visual Style: All sweeps use the same color/style for clarity Minimal Chart Clutter: No market structure labels, only essential sweep markers Unique Implementation: Unlike traditional SMC indicators that display all structure points, this tool focuses exclusively on actionable liquidity sweeps. It maintains the mathematical rigor of structure tracking internally while presenting only the critical sweep levels where institutional activity is likely concentrated. Usage: Liquidity sweeps often precede significant moves as they represent areas where stop-losses accumulate. Traders can use these levels to: - Identify potential reversal zones after sweep completion - Spot continuation patterns when sweeps align with trend - Time entries after liquidity has been collected - Set stop-loss levels beyond recent sweep points This indicator simplifies complex SMC concepts into actionable liquidity sweep signals, making it suitable for traders who want to focus on key institutional levels without overwhelming chart analysis.
Indicador Pine Script®
por DeadCatCode
ML-Enhanced Multi-Indicator Composite Signal🤖 ML-Enhanced Multi-Indicator Composite Signal Revolutionary AI-Powered Trading Indicator with Adaptive Learning Transform your trading with cutting-edge machine learning technology that automatically optimizes indicator weights based on real market performance! 🎯 What Makes This Indicator Special? This isn't just another composite indicator. It's an intelligent trading system that learns from market data and continuously adapts to improve signal accuracy. Unlike static indicators with fixed weights, this AI-powered tool dynamically adjusts the importance of each technical indicator based on their actual prediction success rates. ⚡ Key Features 🤖 Adaptive Machine Learning Engine Automatically tracks prediction accuracy for each indicator Dynamically adjusts weights based on performance Continuous learning and adaptation to market conditions Configurable learning parameters for fine-tuning 📊 Multi-Indicator Fusion SuperTrend: Trend direction and momentum Moving Averages: Price trend confirmation (SMA/EMA/WMA/RMA) VWAP: Volume-weighted price levels Linear Regression: Mathematical trend analysis 🎯 Intelligent Signal Generation Strong Buy/Buy/Sell/Strong Sell signals Configurable threshold levels Signal smoothing to reduce noise Smart signal timing to avoid repetitive alerts 📈 Performance Analytics Dashboard Real-time accuracy tracking for each indicator Weight distribution visualization ML vs. Equal weights comparison Learning progress monitoring 🚀 How It Works 1. Data Collection Phase The indicator continuously monitors the performance of each technical component, storing predictions and actual market outcomes. 2. Learning Phase Using configurable learning periods (20-500 bars), the ML engine calculates accuracy rates for each indicator's predictions. 3. Weight Optimization Based on performance data, the system automatically adjusts weights using a configurable learning rate, ensuring better-performing indicators have more influence. 4. Signal Generation The optimized composite signal triggers buy/sell alerts when crossing predefined thresholds, with visual signals and background coloring. ⚙️ Customization Options Machine Learning Parameters Learning Period: 20-500 bars (default: 100) Prediction Horizon: 1-20 bars (default: 5) Learning Rate: 0.01-1.0 (default: 0.1) Minimum Weight: Prevents any indicator from becoming irrelevant Performance Smoothing: Reduces noise in accuracy calculations Traditional Settings SuperTrend: Period and multiplier adjustment Moving Average: Type selection and length VWAP: Source customization Linear Regression: Length and source options Signal Configuration Threshold Levels: Customizable buy/sell trigger points Signal Smoothing: Reduces false signals Manual Override: Option to use fixed weights instead of ML 📱 Visual Features Signal Line Display Dynamic color coding based on signal strength Threshold level lines for clear entry/exit points Background coloring for quick market sentiment assessment Performance Table Real-time accuracy metrics for each indicator Current weight distribution showing ML optimization Performance comparison between ML and equal weights Learning progress indicator Signal Shapes 🚀 Strong Buy: Large green triangle with text 📈 Buy: Standard green triangle 📉 Sell: Standard red triangle 💥 Strong Sell: Large red triangle with text 🎓 Best Practices & Usage Tips For Beginners Start with default ML settings Allow 100+ bars for proper learning Focus on Strong Buy/Sell signals initially Monitor the performance table to understand ML adaptation For Advanced Traders Adjust learning rate based on market volatility Customize prediction horizon for your trading timeframe Fine-tune threshold levels for your risk tolerance Combine with additional confirmation indicators Recommended Settings by Timeframe Scalping (1m-5m): Learning Period: 50, Prediction Horizon: 3 Day Trading (15m-1h): Learning Period: 100, Prediction Horizon: 5 Swing Trading (4h-1D): Learning Period: 200, Prediction Horizon: 10 🔔 Alert System Set up comprehensive alerts for: Strong Buy/Sell signals with maximum consensus Regular Buy/Sell signals for standard entries Custom message templates with price and signal strength Email, SMS, and webhook compatibility ⚠️ Important Notes Learning Period: Allow sufficient data for ML optimization (minimum 50 bars recommended) Market Conditions: Performance may vary during high volatility or trending vs. ranging markets Backtesting: Test thoroughly on historical data before live trading Risk Management: Always use proper position sizing and stop losses 🏆 Why Choose This Indicator? ✅ Adaptive Intelligence: Unlike static indicators, this tool evolves with market conditions ✅ Transparent Performance: See exactly how well each component is performing ✅ Comprehensive Analytics: Make informed decisions with detailed performance metrics ✅ Professional Grade: Developed by experienced traders for serious market participants ✅ Continuous Innovation: Regular updates and improvements based on user feedback 📊 Performance Tracking The indicator provides unprecedented transparency into its decision-making process: Individual indicator accuracy rates Weight evolution over time Improvement metrics vs. baseline Learning curve visualization Transform your trading with the power of adaptive machine learning. Let the market data guide your strategy optimization automatically! Tags: Machine Learning, AI Trading, Composite Signal, Multi-Indicator, Adaptive Algorithm, Signal Generation, Trading Automation, Technical Analysis Category: Trend Following, Oscillators, Signal Generators
Indicador Pine Script®
por QuantCreative
361
BNF 25/50 MA Pullback Screener (Uptrend-Below / Downtrend-Above)Buy candidates: stocks in an uptrend (25MA > 50MA, optional rising slopes) that are currently pulled back below the MAs. • Sell/short candidates: stocks in a downtrend (25MA < 50MA, optional falling slopes) that are currently pushed above the MAs. It plots the MAs, paints the background for trend context, drops signals on the chart, shows a status panel, and exposes alert conditions so you can screen your watchlist via alerts.
Indicador Pine Script®
por jackson_g_sheehan
RSI ROC Signals with Price Action# RSI ROC Signals with Price Action ## Overview The RSI ROC (Rate of Change) Signals indicator is an advanced momentum-based trading system that combines RSI velocity analysis with price action confirmation to generate high-probability buy and sell signals. This indicator goes beyond traditional RSI analysis by measuring the speed of RSI changes and requiring price confirmation before triggering signals. ## Core Concept: RSI Rate of Change (ROC) ### What is RSI ROC? RSI ROC measures the **velocity** or **acceleration** of the RSI indicator, providing insights into momentum shifts before they become apparent in traditional RSI readings. **Formula**: `RSI ROC = ((Current RSI - Previous RSI) / Previous RSI) × 100` ### Why RSI ROC is Superior to Standard RSI: 1. **Early Momentum Detection**: Identifies momentum shifts before RSI reaches traditional overbought/oversold levels 2. **Velocity Analysis**: Measures the speed of momentum changes, not just absolute levels 3. **Reduced False Signals**: Filters out weak momentum moves that don't sustain 4. **Dynamic Thresholds**: Adapts to market volatility rather than using fixed RSI levels 5. **Leading Indicator**: Provides earlier signals compared to traditional RSI crossovers ## Signal Generation Logic ### 🟢 Buy Signal Process (3-Stage System): #### Stage 1: Trigger Activation - **RSI ROC** > threshold (default 7%) - RSI accelerating upward - **Price ROC** > 0 - Price moving higher - Records the **trigger high** (highest point during trigger) #### Stage 2: Invalidation Check - Signal invalidated if **RSI ROC** drops below negative threshold - Prevents false signals during momentum reversals #### Stage 3: Confirmation - **Price breaks above trigger high** - Price action confirmation - **Current candle is green** (close > open) - Bullish price action - **State alternation** - Ensures no consecutive duplicate signals ### 🔴 Sell Signal Process (3-Stage System): #### Stage 1: Trigger Activation - **RSI ROC** < negative threshold (default -7%) - RSI accelerating downward - **Price ROC** < 0 - Price moving lower - Records the **trigger low** (lowest point during trigger) #### Stage 2: Invalidation Check - Signal invalidated if **RSI ROC** rises above positive threshold - Prevents false signals during momentum reversals #### Stage 3: Confirmation - **Price breaks below trigger low** - Price action confirmation - **Current candle is red** (close < open) - Bearish price action - **State alternation** - Ensures no consecutive duplicate signals ## Key Features ### 🎯 **Smart Signal Management** - **State Alternation**: Prevents signal clustering by alternating between buy/sell states - **Trigger Invalidation**: Automatically cancels weak signals that lose momentum - **Price Confirmation**: Requires actual price breakouts, not just momentum shifts - **No Repainting**: Signals are confirmed and won't disappear or change ### ⚙️ **Customizable Parameters** #### **RSI Length (Default: 14)** - Standard RSI calculation period - Shorter periods = more sensitive to price changes - Longer periods = smoother, less noisy signals #### **Lookback Period (Default: 1)** - Period for ROC calculations - 1 = compares to previous bar (most responsive) - Higher values = smoother momentum detection #### **RSI ROC Threshold (Default: 7%)** - Minimum RSI velocity required for signal trigger - Lower values = more signals, potentially more noise - Higher values = fewer but higher-quality signals ### 📊 **Visual Signals** - **Green Arrow Up**: Buy signal below price bar - **Red Arrow Down**: Sell signal above price bar - **Clean Chart**: No additional lines or oscillators cluttering the view - **Size Options**: Customizable arrow sizes for visibility preferences ## Advantages Over Traditional Indicators ### vs. Standard RSI: ✅ **Earlier Signals**: Detects momentum changes before RSI reaches extremes ✅ **Dynamic Thresholds**: Adapts to market conditions vs. fixed 30/70 levels ✅ **Velocity Focus**: Measures momentum speed, not just position ✅ **Better Timing**: Combines momentum with price action confirmation ### vs. Moving Average Crossovers: ✅ **Leading vs. Lagging**: RSI ROC is forward-looking vs. backward-looking MAs ✅ **Volatility Adaptive**: Automatically adjusts to market volatility ✅ **Fewer Whipsaws**: Built-in invalidation logic reduces false signals ✅ **Momentum Focus**: Captures acceleration, not just direction changes ### vs. MACD: ✅ **Price-Normalized**: RSI ROC works consistently across different price ranges ✅ **Simpler Logic**: Clear trigger/confirmation process vs. complex crossovers ✅ **Built-in Filters**: Automatic signal quality control ✅ **State Management**: Prevents over-trading through alternation logic ## Trading Applications ### 📈 **Trend Following** - Use in trending markets to catch momentum continuations - Combine with trend filters for directional bias - Excellent for breakout strategies ### 🔄 **Swing Trading** - Ideal timeframes: 4H, Daily, Weekly - Captures major momentum shifts - Perfect for position entries/exits ### ⚡ **Scalping (Advanced Users)** - Lower timeframes: 1m, 5m, 15m - Reduce threshold for more frequent signals - Combine with volume confirmation ### 🎯 **Momentum Strategies** - Perfect for momentum-based trading systems - Identifies acceleration phases in trends - Complements breakout and continuation patterns ## Optimization Guidelines ### **Conservative Settings (Lower Risk)** - RSI Length: 21 - ROC Threshold: 10% - Lookback: 2 ### **Standard Settings (Balanced)** - RSI Length: 14 (default) - ROC Threshold: 7% (default) - Lookback: 1 (default) ### **Aggressive Settings (Higher Frequency)** - RSI Length: 7 - ROC Threshold: 5% - Lookback: 1 ## Best Practices ### 🎯 **Entry Strategy** 1. Wait for signal arrow confirmation 2. Consider market context (trend, support/resistance) 3. Use proper position sizing based on volatility 4. Set stop-loss below/above trigger levels ### 🛡️ **Risk Management** 1. **Stop Loss**: Place beyond trigger high/low levels 2. **Position Sizing**: Use 1-2% risk per trade 3. **Market Context**: Avoid counter-trend signals in strong trends 4. **Time Filters**: Consider avoiding signals near major news events ### 📊 **Backtesting Recommendations** 1. Test on multiple timeframes and instruments 2. Analyze win rate vs. average win/loss ratio 3. Consider transaction costs in backtesting 4. Optimize threshold values for different market conditions ## Technical Specifications - **Pine Script Version**: v6 - **Signal Type**: Non-repainting, confirmed signals - **Calculation Basis**: RSI velocity with price action confirmation - **Update Frequency**: Real-time on bar close - **Memory Management**: Efficient state tracking with minimal resource usage ## Ideal For: - **Momentum Traders**: Captures acceleration phases - **Swing Traders**: Medium-term position entries/exits - **Breakout Traders**: Confirms momentum behind breakouts - **System Traders**: Mechanical signal generation with clear rules This indicator represents a significant evolution in momentum analysis, combining the reliability of RSI with the precision of rate-of-change analysis and the confirmation of price action. It's designed for traders who want sophisticated momentum detection with built-in quality controls.
Indicador Pine Script®
por padavans
MultiPrem+ Pro EnhancedMultiPrem+ Pro Enhanced - Options Strategy Premium Tracker Overview A comprehensive TradingView indicator designed for professional options traders to track, analyze, and optimize multi-leg options strategies in real-time. This indicator monitors combined premiums across 70 pre-configured options strategies with automated ATM strike detection, performance tracking, and technical analysis integration. Key Features 📊 70 Pre-Built Options Strategies Access a complete library of professional options strategies organized by category: Calendar & Diagonal Spreads (8 strategies) Iron Strategies (6 strategies) Straddle & Strangle Variants (8 strategies) Butterfly Spreads (8 strategies) Vertical Spreads (8 strategies) Ratio Spreads (7 strategies) Condor Variants (6 strategies) Synthetic & Arbitrage (7 strategies) Protection Strategies (6 strategies) Advanced Multi-Leg (6 strategies) 🎯 Automated ATM Strike Detection Auto-capture at 9:20 AM: Automatically detects and sets the At-The-Money strike level at market open Manual Override: Option to set custom ATM levels based on your analysis Dynamic Adjustment: Adapts to NIFTY, BANKNIFTY, and SENSEX with proper strike intervals 📈 Real-Time Premium Tracking Combined Premium Display: Visualizes net premium of all legs as a single line Entry Tracking: Records strategy premium at 9:20 AM entry point Day High/Low Monitoring: Tracks maximum profit and loss potential throughout the day Live P&L Display: Shows current profit/loss with color-coded visualization 🔧 Technical Indicator Integration Choose from 10 popular indicators to overlay on premium charts: Moving Averages (SMA, EMA) Momentum Indicators (RSI, MACD, Stochastic) Volatility Indicators (Bollinger Bands, ATR) Trend Indicators (ADX, CCI, Williams %R) 📋 Interactive Strategy Table Comprehensive table displaying: Individual leg details (Strike, Type, Position, Premium) Net Debit/Credit calculation Quantity multipliers for ratio strategies Real-time Greeks (Delta, Theta) Premium tracking metrics with P&L 🎨 Visual Premium Analysis Color-Coded Premium Lines: Debit Strategies: Green when profitable, Red when losing Credit Strategies: Properly inverted color logic Strategy Suggestions: AI-based recommendations based on current market conditions Alert System: JSON-formatted alerts for automated trading systems How to Use Efficiently Initial Setup Select Your Index: Choose between NIFTY, BANKNIFTY, or SENSEX Choose Expiry Period: Select from Current Week, Next Week, Current Month, or Next Month Pick Your Strategy: Select from 70 available strategies in the dropdown Configure Strike Width: Adjust the multiplier for wider or narrower spreads Daily Trading Workflow Morning Setup (9:15-9:20 AM) Enable "Auto-detect ATM at 9:20 AM" for automatic strike level capture Select your preferred strategy based on market outlook Wait for the 9:20 AM bar to complete for ATM detection Verify the captured ATM level in the tracking table Position Monitoring Check Entry Premium: View "Premium @ 9:20" in the tracking section Monitor P&L: Watch "Current P&L" for real-time profit/loss Track Extremes: "Day High" shows maximum profit reached, "Day Low" shows maximum drawdown Follow Indicator Signals: Use the overlaid technical indicator for exit timing Strategy Optimization Use Indicator Overlay: Apply technical indicators to identify trend changes Watch Color Changes: Premium line color changes indicate profit/loss transitions Monitor Greeks: Check Net Delta and Theta for position risk assessment Review Suggestions: Consider the AI-suggested strategies for market conditions Advanced Features Multi-Timeframe Analysis Switch between 1-minute to daily timeframes for different perspectives Use lower timeframes for entry/exit precision Use higher timeframes for trend confirmation Custom Adjustments Strike Width Multiplier: Increase for wider spreads in volatile markets Ratio Quantity: Adjust for ratio strategies (2x, 3x, etc.) Manual ATM Override: Set custom ATM levels for specific market scenarios Table Customization Position: Place the table anywhere on your chart Size: Choose from tiny, small, or normal text sizes Display Options: Toggle P&L info and premium tracking sections Best Practices Pre-Market Preparation: Load the indicator before market open to ensure proper ATM capture Strategy Selection: Choose strategies that align with your market view and risk tolerance Premium Monitoring: Focus on net premium movements rather than individual legs P&L Management: Use the Day High/Low metrics to set profit targets and stop losses Technical Confirmation: Combine premium analysis with indicator signals for better timing Alert Configuration Set up alerts for: Premium crossing above/below indicator levels Significant P&L changes Strategy entry/exit signals ATM level captures Supported Exchanges & Symbols NSE: NIFTY and BANKNIFTY options BSE: SENSEX options Automatic symbol construction for all expiries Real-time premium updates from exchange feeds Performance Tips Use 5-minute timeframe for optimal ATM detection Keep the table visible for quick reference Monitor color changes for profit/loss transitions Set alerts for key premium levels Review daily high/low for strategy performance assessment This indicator transforms complex multi-leg options strategies into simple, actionable visual insights, enabling traders to make informed decisions quickly and efficiently in fast-moving markets.
Indicador Pine Script®
por sandeep-sanson
Power Law Divergence in % - For Bitcoin Only_JPBitcoin Power Law Divergence The Bitcoin Power Law Divergence is a representation of Bitcoin prices first proposed by Giovanni Santostasi, Ph.D. It plots BTCUSD daily closes on a log10-log10 scale, and fits a linear regression channel to the data. This channel helps traders visualise when the price is historically in a zone prone to tops or located within a discounted zone subject to future growth. Giovanni Santostasi, Ph.D. originated the Bitcoin Power-Law Theory; this implementation places it directly on a TradingView chart. The white line shows the daily closing price, while the cyan line is the best-fit regression. A channel is constructed from the linear fit root mean squared error (RMSE), we can observe how price has repeatedly oscillated between each channel areas through every bull-bear cycle. DETAILS One of the advantages of the Power Law Theory proposed by Giovanni Santostasi is its ability to explain multiple behaviors of Bitcoin. We describe some key points below. Power-Law Overview A power law has the form y = A·xⁿ, and Bitcoin’s key variables follow this pattern across many orders of magnitude. Empirically, price rises roughly with t⁶, hash-rate with t¹² and the number of active addresses with t³. When we plot these on log-log axes they appear as straight lines, revealing a scale-invariant system whose behaviour repeats proportionally as it grows.
Indicador Pine Script®
por Sahebson
QTheoryQTheory – This indicator is built on Quarterly Theory (developed by Daye) 🔹 Quarterly Theory Markets often unfold in repeating quarterly cycles (Q1–Q4) across multiple timeframes — yearly, monthly, weekly, daily, 90-minute, and even micro cycles. By dividing price action into these quarters, traders can better anticipate structural shifts, accumulation/distribution phases, and liquidity runs. 🔹 Sequential SMT (SSMT) Sequential SMT extends standard SMT (Smart Money Technique) by comparing multiple assets (such as FX majors) to identify divergences across quarters. 🔹 Features of QTheory Automatic detection of quarterly cycles across multiple timeframes. Visual cycle boxes & customizable dividers. Integrated SSMT signals with divergence line visualization. DFR (Defining Range) with Fibonacci levels. Support for up to 5 comparison assets, with inversion options. Auto-cycle selection for seamless multi-timeframe adaptation. Extensive customization for colors, opacity, and signal display. 🔹 How it works QTheory divides price data into consistent “quarters” across multiple timeframes. Within each cycle, it tracks highs, lows, and divergences, then overlays this information as boxes, dividers, and optional signals on your chart. Traders can use these visual cues to better align entries and exits with institutional market behavior patterns. 🔹 How to use it Enable the desired cycle type (e.g., weekly, daily, 90-minute) from the settings. Toggle boxes, dividers, and signals depending on your trading style. Use SSMT divergences and DFR Fibs to anticipate a reversal Compare against other assets (e.g., DXY or correlated pairs) to refine confluence. ⚠️ Disclaimer: This tool is for educational purposes only. It does not constitute financial advice. Always perform your own analysis and risk management. Attribution: Portions of this script extend the quarter-cycle logic from TFlab’s “Quarterly Theory ICT 04”, released under the Mozilla Public License 2.0
Indicador Pine Script®
por karlfredrik
4
NQ Opening Range BreakoutOpening Range Breakout script with: Customizable opening range timeframe selection. Inputs for Risk to Reward ratio, EMAs, Vwap, and ATR sizing to avoid ranges that are too big or too small. Features a toggle for reversal trades that when enabled will trade the other direction if the initial ORB gets stopped out. Default it will use the entire opening range to determine stop loss and take profit and if neither the take profit or stop loss is hit it will end the trade at 16:00. There are toggles to use half the opening range as the stop loss and take profit will then be calculated as risk reward ratio * stop loss or you can select entry candle stop loss and risk reward ratio which places the stop loss at the entry candles opening price. There is also a take profit option that will only exit the trade when price closes below (for longs) or above (for shorts) a customizable ema length. Note that if you have the opening range, for example, selected as 9:30 - 9:45 and are on a 5 minute chart it will enter on the first 5 min closure outside of that range and if you are on a 15 minute chart it will enter on the first 15 min closure outside of that range and so on. You can automate the entries and exits by using a webhook service and using the strategy’s alerts.
Estratégia Pine Script®
por blinkzssss