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Liquidity Break Probability [PhenLabs]📊 Liquidity Break Probability Version: PineScript™ v6 The Liquidity Break Probability indicator revolutionizes how traders approach liquidity levels by providing real-time probability calculations for level breaks. This advanced indicator combines sophisticated market analysis with machine learning inspired probability models to predict the likelihood of high/low breaks before they happen. Unlike traditional liquidity indicators that simply draw lines, LBP analyzes market structure, volume profiles, momentum, volatility, and sentiment to generate dynamic break probabilities ranging from 5% to 95%. This gives traders unprecedented insight into which levels are most likely to hold or break, enabling more confident trading decisions. 🚀 Points of Innovation Advanced 6-factor probability model weighing market structure, volatility, volume, momentum, patterns, and sentiment Real-time probability updates that adjust as market conditions change Intelligent trading style presets (Scalping, Day Trading, Swing Trading) with optimized parameters Dynamic color-coded probability labels showing break likelihood percentages Professional tiered input system - from quick setup to expert-level customization Smart volume filtering that only highlights levels with significant institutional interest 🔧 Core Components Market Structure Analysis: Evaluates trend alignment, level strength, and momentum buildup using EMA crossovers and price action Volatility Engine: Incorporates ATR expansion, Bollinger Band positioning, and price distance calculations Volume Profile System: Analyzes current volume strength, smart money proxies, and level creation volume ratios Momentum Calculator: Combines RSI positioning, MACD strength, and momentum divergence detection Pattern Recognition: Identifies reversal patterns (doji, hammer, engulfing) near key levels Sentiment Analysis: Processes fear/greed indicators and market breadth measurements 🔥 Key Features Dynamic Probability Labels: Real-time percentage displays showing break probability with color coding (red >70%, orange >50%, white <50%) Trading Style Optimization: One-click presets automatically configure sensitivity and parameters for your trading timeframe Professional Dashboard: Live market state monitoring with nearest level tracking and active level counts Smart Alert System: Customizable proximity alerts and high-probability break notifications Advanced Level Management: Intelligent line cleanup and historical analysis options Volume-Validated Levels: Only displays levels backed by significant volume for institutional-grade analysis 🎨 Visualization Recent Low Lines: Red lines marking validated support levels with probability percentages Recent High Lines: Blue lines showing resistance zones with break likelihood indicators Probability Labels: Color-coded percentage labels that update in real-time Professional Dashboard: Customizable panel showing market state, active levels, and current price Clean Display Modes: Toggle between active-only view for clean charts or historical view for analysis 📖 Usage Guidelines Quick Setup Trading Style Preset Default: Day Trading Options: Scalping, Day Trading, Swing Trading, Custom Description: Automatically optimizes all parameters for your preferred trading timeframe and style Show Break Probability % Default: True Description: Displays percentage labels next to each level showing break probability Line Display Default: Active Only Options: Active Only, All Levels Description: Choose between clean active-only view or comprehensive historical analysis Level Detection Settings Level Sensitivity Default: 5 Range: 1-20 Description: Lower values show more levels (sensitive), higher values show fewer levels (selective) Volume Filter Strength Default: 2.0 Range: 0.5-5.0 Description: Controls minimum volume threshold for level validation Advanced Probability Model Market Trend Influence Default: 25% Range: 0-50% Description: Weight given to overall market trend in probability calculations Volume Influence Default: 20% Range: 0-50% Description: Impact of volume analysis on break probability ✅ Best Use Cases Identifying high-probability breakout setups before they occur Determining optimal entry and exit points near key levels Risk management through probability-based position sizing Confluence trading when multiple high-probability levels align Scalping opportunities at levels with low break probability Swing trading setups using high-probability level breaks ⚠️ Limitations Probability calculations are estimations based on historical patterns and current market conditions High-probability setups do not guarantee successful trades - risk management is essential Performance may vary significantly across different market conditions and asset classes Requires understanding of support/resistance concepts and probability-based trading Best used in conjunction with other analysis methods and proper risk management 💡 What Makes This Unique Probability-Based Approach: First indicator to provide quantitative break probabilities rather than simple S/R lines Multi-Factor Analysis: Combines 6 different market factors into a comprehensive probability model Adaptive Intelligence: Probabilities update in real-time as market conditions change Professional Interface: Tiered input system from beginner-friendly to expert-level customization Institutional-Grade Filtering: Volume validation ensures only significant levels are displayed 🔬 How It Works 1. Level Detection: Identifies pivot highs and lows using configurable sensitivity settings Validates levels with volume analysis to ensure institutional significance 2. Probability Calculation: Analyzes 6 key market factors: structure, volatility, volume, momentum, patterns, sentiment Applies weighted scoring system based on user-defined factor importance Generates probability score from 5% to 95% for each level 3. Real-Time Updates: Continuously monitors price action and market conditions Updates probability calculations as new data becomes available Adjusts for level touches and changing market dynamics 💡 Note: This indicator works best on timeframes from 1-minute to 4-hour charts. For optimal results, combine with proper risk management and consider multiple timeframe analysis. The probability calculations are most accurate in trending markets with normal to high volatility conditions.
Penunjuk Pine Script®
oleh PhenLabs
Opening Range Breakout🧭 Overview The Open Range Breakout (ORB) indicator is designed to capture and display the initial price range of the trading day (typically the first 15 minutes), and help traders identify breakout opportunities beyond this range. This is a popular strategy among intraday and momentum traders. 🔧 Features 📊 ORB High/Low Lines Plots horizontal lines for the session’s high and low 🟩 Breakout Zones Background highlights when price breaks above or below the range 🏷️ Breakout Labels Text labels marking breakout events 🧭 Session Control Customizable session input (default: 09:15–09:30 IST) 📍 ORB Line Labels Text labels anchored to the ORB high and low lines (aligned right) 🔔 Alerts Configurable alerts for breakout events ⚙️ Adjustable Settings Show/hide background, labels, session window, etc. ⏱️ Session Logic • The ORB range is calculated during a defined session window (default: 09:15–09:30). • During this window, the highest high and lowest low are recorded as ORB High and ORB Low. 📈 Breakout Detection • Breakout Above: Triggered when price crosses above the ORB High. • Breakout Below: Triggered when price crosses below the ORB Low. • Each breakout can trigger: • A background highlight (green/red) • A text label (“Breakout ↑” / “Breakout ↓”) • An optional alert 🔔 Alerts Two built-in alert conditions: 1. Breakout Above ORB High • Message: "🔼 Price broke above ORB High: {{close}}" 2. Breakout Below ORB Low • Message: "🔽 Price broke below ORB Low: {{close}}" You can create alerts in TradingView by selecting these from the Add Alert window. 📌 Best Use Cases • Intraday momentum trading • Breakout and scalping strategies • First 15-minute range traders (NSE, BSE markets)
Penunjuk Pine Script®
oleh vasireddiramu78
Logarithmic Moving Average (LMA) [QuantAlgo]🟢 Overview The Logarithmic Moving Average (LMA) uses advanced logarithmic weighting to create a dynamic trend-following indicator that prioritizes recent price action while maintaining statistical significance. Unlike traditional moving averages that use linear or exponential weights, this indicator employs logarithmic decay functions to create a more sophisticated price averaging system that adapts to market volatility and momentum conditions. The indicator displays a smoothed signal line that oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. The signal incorporates trend quality assessment, momentum confirmation, and multiple filtering mechanisms to help traders and investors identify trend continuation and reversal opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's core innovation lies in its logarithmic weighting system, where weights are calculated using the formula: w = 1.0 / math.pow(math.log(i + steepness), 2) The steepness parameter controls how aggressively recent data is prioritized over historical data, creating a dynamic weight decay that can be fine-tuned for different trading styles. This logarithmic approach provides more nuanced weight distribution compared to exponential moving averages, offering better responsiveness while maintaining stability. The LMA calculation combines multiple sophisticated components. First, it calculates the logarithmic weighted average of closing prices. Then it measures the slope of this average over a 10-period lookback: lmaSlope = (lma - lma ) / lma * 100 The system also incorporates trend quality assessment using R-squared correlation analysis of log-transformed prices, measuring how well the price data fits a linear trend model over the specified period. The final signal generation uses the formula: signal = lmaSlope * (0.5 + rSquared * 0.5) which combines the LMA slope with trend quality weighting. When momentum confirmation is enabled, the indicator calculates annualized log-return momentum and applies a multiplier when the momentum direction aligns with the signal direction, strengthening confirmed signals while filtering out weak or counter-trend movements. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): LMA slope indicating bullish momentum with upward price trajectory relative to logarithmic baseline Negative Values (Below Zero): LMA slope indicating bearish momentum with downward price trajectory relative to logarithmic baseline Zero Line Crosses: Signal transitions between bullish and bearish regimes, indicating potential trend changes Long Entry Threshold Zone: Area above positive threshold (default 0.5) indicating confirmed bullish signals suitable for long positions Short Entry Threshold Zone: Area below negative threshold (default -0.5) indicating confirmed bearish signals suitable for short positions Extreme Values: Signals exceeding ±1.0 represent strong momentum conditions with higher probability of continuation 2. Momentum Confirmation and Visual Analysis Signal Color Intensity: Gradient coloring shows signal strength, with brighter colors indicating stronger momentum Bar Coloring: Optional price bar coloring matches signal direction for quick visual trend identification Position Labels: Real-time position classification (Bullish/Bearish/Neutral) displayed on the latest bar Momentum Weight Factor: When short-term log-return momentum aligns with LMA signal direction, the signal receives additional weight confirmation Trend Quality Component: R-squared values weight the signal strength, with higher correlation indicating more reliable trend conditions 3. Examples: Preconfigured Settings Default: Universally applicable configuration balanced for medium-term investing and general trading across multiple timeframes and asset classes. Scalping: Highly responsive setup with shorter period and higher steepness for ultra-short-term trades on 1-15 minute charts, optimized for quick momentum shifts. Swing Trading: Extended period with moderate steepness and increased smoothing for multi-day positions, designed to filter noise while capturing larger price swings on 1-4 hour and daily charts. Trend Following: Maximum smoothing with lower steepness for established trend identification, generating fewer but more reliable signals optimal for daily and weekly timeframes. Mean Reversion: Shorter period with high steepness for counter-trend strategies, more sensitive to extreme moves and reversal opportunities in ranging market conditions.
Penunjuk Pine Script®
oleh QuantAlgo
7
Structure Break + Confirmation (First Signal Only)Swing Detection: A Swing High is detected when the high of the central candle (based on a lookback period) is greater than the highs of the candles before and after. A Swing Low is detected when the low of the central candle is lower than the lows of the candles before and after. Break of Structure (BOS): A BOS Up is confirmed when a candle closes above the most recent swing high (with a body close). A BOS Down is confirmed when a candle closes below the most recent swing low. Confirmation (CONF): A CONF Up is triggered when price makes a new high after a BOS Up. A CONF Down is triggered when price makes a new low after a BOS Down. Only the first confirmation after a BOS is plotted. Visuals: Cross marks (×) are plotted at swing points. BOS signals are shown with green (up) and red (down) labels. CONF signals are shown with lime (up) and orange (down) triangle markers. Dotted lines are drawn at the levels of broken swing highs/lows.
Penunjuk Pine Script®
oleh TradePro1000
1
Z-Score Pairs Trading Composite z-score Description (한글) 이 지표는 BTC/ETH 가격 비율의 Z-Score와 개별 자산(BTC, ETH)의 RSI를 동시에 계산하여, 시장의 추세 강도와 과매수·과매도 구간을 한눈에 파악할 수 있는 통합 전략 대시보드를 제공합니다. 사용자 정의 가능한 기간(length) 및 진입·청산 임계값(threshold) 설정 캔들 차트 위에 오버레이 형태로 표시 트레이딩뷰 기본 툴바 및 알림 기능 완벽 호환 Description (English) This indicator delivers an integrated strategy dashboard by calculating both the Z-Score of the BTC/ETH price ratio and the RSI of each asset (BTC, ETH), enabling you to visualize market trend strength and overbought/oversold conditions at a glance. Customizable length and entry/exit threshold settings Overlay display directly on your candlestick chart Fully compatible with TradingView’s toolbar and alert system
Penunjuk Pine Script®
oleh tomxyi0k
Custom EMA High/Low & SMA - [GSK-VIZAG-AP-INDIA] Custom EMA High/Low & SMA - 1. Overview This indicator overlays a dynamic combination of Exponential Moving Averages (EMA) and Simple Moving Average (SMA) to identify momentum shifts and potential entry/exit zones. It highlights bullish or bearish conditions using color-coded SMA logic and provides visual Buy/Sell signals based on smart crossover and state-based logic. 2. Purpose / Use Case Designed for traders who want to visually identify momentum breakouts, trend reversals, or pullback opportunities, this tool helps: Spot high-probability buy/sell zones Confirm price strength relative to volatility bands (EMA High/Low) Time entries based on clean visual cues It works well in trend-following strategies, particularly in intraday or swing setups across any liquid market (indices, stocks, crypto, etc.). 3. Key Features & Logic ✅ EMA High/Low Channel: Acts as dynamic support/resistance boundaries using 20-period EMAs on high and low prices. ✅ Timeframe-Specific SMA: A 33-period SMA calculated from a user-defined timeframe (default: 10-minute) for flexible multi-timeframe analysis. ✅ Signal Generation: Buy: When SMA drops below EMA Low and close is above EMA High. Sell: When SMA rises above EMA High and price closes below both EMAs. Optionally, signals also fire based on SMA color changes (green = bullish, red = bearish). ✅ Strict or Loose Signal Logic: Choose between precise crossovers or broader state-based conditions. ✅ Debugging Tools: Optional markers for granular insight into condition logic. 4. User Inputs & Settings Input Description EMA High Length Period for EMA of high prices (default: 20) EMA Low Length Period for EMA of low prices (default: 20) SMA Length Period for Simple Moving Average (default: 33) SMA Timeframe Timeframe for SMA (default: “10”) Show Buy/Sell Arrows Enable visual arrow signals for Buy/Sell Strict Signal Logic ON = crossover-based signals; OFF = state logic Plot Signals on SMA Color Change Enable signals on SMA color shifts (Green/Red) Show Debug Markers Plot small markers to debug condition logic 5. Visual Elements Explained 🔵 EMA High Line – Blue line marking dynamic resistance 🔴 EMA Low Line – Red line marking dynamic support 🟡 SMA Line – Color-coded based on position: Green if SMA < EMA Low (Bullish) Red if SMA > EMA High (Bearish) Yellow otherwise (Neutral) ✅ BUY / SELL Labels – Displayed below or above candles on valid signals 🛠️ Debug Circles/Triangles – Help visually understand the signal logic when enabled 6. Usage Tips Best used on 5–30 min timeframes for intraday setups or 1H+ for swing trades. Confirm signals with volume, price action, or other confluences (like support/resistance). Use strict mode for more accurate entries, and non-strict mode for broader trend views. Ideal for identifying pullbacks into trend, or early reversals after volatility squeezes. 7. What Makes It Unique Multi-timeframe SMA integrated with EMA High/Low bands Dual signal logic (crossover + color shift) Visually intuitive and beginner-friendly Minimal clutter with dynamic signal labeling Debug mode for transparency and learning 8. Alerts & Automation The indicator includes built-in alert conditions for: 📈 Buy Alert: Triggered when a bullish condition is detected. 🔻 Sell Alert: Triggered when bearish confirmation is detected. These alerts can be used with TradingView's alert system for real-time notifications or bot integrations. 9. Technical Concepts Used EMA (Exponential Moving Average): Reacts faster to recent price, ideal for trend channels SMA (Simple Moving Average): Smoother average for detecting general trend direction Crossover Logic: Checks when SMA crosses over or under EMA levels Color Coding: Visual signal enhancement based on relative positioning Multi-Timeframe Analysis: SMA calculated on a custom timeframe, powerful for confirmation 10. Disclaimer This script is for educational and informational purposes only. It is not financial advice. Always backtest thoroughly and validate on demo accounts before applying to live markets. Trading involves risk, and past performance does not guarantee future results. 11. Author Signature 📌 Indicator Name: Custom EMA High/Low & SMA - 👤 Author: GSK-VIZAG-AP-INDIA
Penunjuk Pine Script®
oleh prowelltraders
JIYANS FVGJIYAN'S FVG is a powerful Fair Value Gap (FVG) indicator designed to help traders visually identify and track bullish and bearish imbalances across customizable timeframes. The script automatically detects FVGs based on market structure and plots them with shaded boxes and clear boundary lines on the chart. Key Features: Multi-Timeframe Detection: Select your preferred timeframe for FVG detection (e.g., H4, H1, M30). Visual Clarity: Displays shaded gaps with customizable colors, upper and lower boundary lines, and optional midpoint lines for precise reference. Dynamic Management: Automatically removes mitigated (filled) gaps to keep the chart clean and focused. Labeling: Annotates each FVG with the selected timeframe for easy tracking. Alerts: Built-in alerts notify you when a new FVG forms or when price touches the boundary of an existing unmitigated FVG. This tool is perfect for traders who rely on price imbalances and fair value gaps to identify potential trading opportunities and key areas of interest.
Penunjuk Pine Script®
oleh priteshkhetani001
Buy Opportunity Score Table (21 Points)## 📊 Script Title: **Buy Opportunity Score Table (21 Points)** --- ## 📝 Script Description: This TradingView script is a **custom multi-indicator scoring system** designed to identify **buying opportunities** in stocks, indices, or ETFs by evaluating momentum, volume strength, and overall market sentiment. It gives a score out of **21 points** using 6 key indicators, and highlights **potential buy signals** when the score crosses **8 points or more**. --- ## ✅ Key Features: ### 📌 1. **Indicators Used (21 Points Max)** Each of the following indicators contributes up to 4 points (except Nifty trend, which adds 1 point): | Indicator | Max Points | Logic | | ----------- | ---------- | ---------------------------------- | | Volume | 4 | Volume > 20-day average and rising | | OBV | 4 | OBV rising for 3+ days | | MFI | 4 | MFI > 60 and increasing | | RSI | 4 | RSI > 50 and increasing | | ROC | 4 | Rate of change positive and rising | | Nifty Trend | 1 | Nifty > yesterday and above 20 EMA | --- ### 📌 2. **Scoring Output** * The **total score** is plotted on the chart and capped at 21. * Score of **8 or higher** is treated as a **buy trigger**. * Permanent horizontal lines are plotted at **8**, **13**, and **17** to show key levels: * **8** → Entry zone * **13** → Accumulation/Build zone * **17** → Strong bullish momentum --- ### 📌 3. **Table Panel (Top Right Corner)** A table shows: * Current and previous day’s score for each indicator * Total score and change from previous day --- ### 📌 4. **Visual Aids** * Background turns **green** when score is **≥ 8** * Permanent **horizontal lines** at score levels **8, 13, and 17** for easy reference --- ### 📌 5. **Alerts** * An `alertcondition` is triggered **when score crosses 8 from below** * You can use this for mobile/email alerts or automated strategies --- ## ⚙️ Inputs: You can customize: * Length of **ROC**, **MFI**, **RSI**, and **Volume SMA** Default values are: * ROC: 10 * MFI: 14 * RSI: 14 * Volume MA: 20 --- ## 🎯 Use Case: This tool is ideal for: * **Swing traders** looking for early signals of accumulation * **Investors** filtering stocks with rising internal strength * **Algo traders** building signal-based strategies based on multi-factor models
Penunjuk Pine Script®
oleh raghavprakash05
Previous Day High & Low with Breakout Zones📌 Script Summary: Previous Day High/Low with Breakout Zones and Alerts This Pine Script plots the previous day’s high and low on intraday charts, and highlights when the current price breaks out of that range during regular trading hours. ✅ Key Features • Previous Day High/Low Lines: Draws horizontal lines at the prior day’s high and low, updated daily. • Time-Filtered Session (09:15–15:30 IST): All logic applies only during Indian market hours. • Breakout Zone Highlighting: • 🟩 Green background when price closes above previous high • 🟥 Red background when price closes below previous low • Dynamic Labels: Displays labeled levels each day on the chart. • Alerts: • 🔼 Triggered when price crosses above the previous day’s high. • 🔽 Triggered when price crosses below the previous day’s low. • Customizable Inputs: • Enable/disable alerts • Toggle breakout zone highlights • Set label offset ⚙️ Optimized For • Intraday timeframes (e.g., 5m, 15m, 1h) • Trading during NSE/BSE market hours • Breakout strategy traders and range watchers
Penunjuk Pine Script®
oleh vasireddiramu78
XAU/USD Lot Size CalculatorThis indicator automatically calculates the optimal lot size for XAUUSD (gold) based on the level of risk the trader wants to take. It is designed for traders using MetaTrader 4 or 5 and helps adjust position size according to the specific volatility of gold. The user can set the percentage of capital they are willing to risk on a single trade, for example 1%. The indicator also takes into account the stop loss level, which can be entered in pips or in dollars, as well as the account size (balance or equity). Based on these parameters, it calculates the exact lot size that matches the risk amount. It then displays on the chart the recommended lot size, the risk amount in dollars, the pip value for XAUUSD, and a confirmation of the stop loss level. This type of indicator is useful for maintaining disciplined risk management and avoiding position sizing errors, especially on a highly volatile asset like gold.
Penunjuk Pine Script®
oleh clementsrvx
Price Reaction Analysis by Day of WeekOverview The "Price Reaction Analysis by Day of Week" indicator is a tool that enables traders to analyze historical price reaction patterns to technical indicator signals on a selected day of the week. It examines price behavior on a chosen candle (from 1 to 30) in the next day or subsequent days after a signal, depending on the timeframe, and provides success rate statistics to support data-driven trading decisions. The indicator is optimized for timeframes up to 1 day (e.g., 1D, 12H, 8H, 6H, 4H, 1H, 15M), as the analysis relies on day-of-week comparisons. Lower timeframes generate more signals due to the higher number of candles per day. Key Features 1. Flexible Technical Indicator Selection Users can choose one of four technical indicators: RSI, SMI, MA, or Bollinger Bands. Each indicator has configurable parameters, such as: RSI length, oversold/overbought levels. SMI length, %K and %D smoothing, signal levels. MA length. Bollinger Bands length and multiplier. 2. Day-of-Week Analysis The indicator allows users to select a day of the week (Monday, Tuesday, Wednesday, Thursday, Friday) for generating signals. It analyzes price reactions on a selected candle (from 1 to 30) in the next day or subsequent days after the signal. Examples: On a daily timeframe, a signal on Monday can be analyzed for the first, fourth, or later candle (up to 30) in subsequent days (e.g., Tuesday, Wednesday). On timeframes lower than 1 day (e.g., 12H, 8H, 6H, 4H, 1H, 15M), the analysis targets the selected candle in the next day or subsequent days. For example, on a 4H timeframe, you can analyze the second Tuesday candle following a Monday signal. The maximum timeframe is 1 day to ensure consistent day-of-week analysis. 3. Visual Signals Signals for the analysis period are marked with background highlights in real-time when the indicator’s conditions are met. The last highlighted candle of the selected day is always analyzed. Arrows are displayed on the chart at the candle specified by the “Candles to Compare” setting (e.g., the first candle if set to 1): Green upward triangles (below the candle) for successful buy signals (the closing price of the selected candle is higher than the signal candle’s close). Red downward triangles (above the candle) for successful sell signals (the closing price of the selected candle is lower than the signal candle’s close). Gray “x” marks for unsuccessful signals (no price reversal in the expected direction). Arrow positions are intuitive: buy signals below the candle, sell signals above. Highlights and arrows do not require waiting for future signals but are essential for calculating statistics. Note: The first candle of the next day may appear shifted on the chart due to timezone differences, which can affect the timing of signal appearance. 4. Signal Conditions (Highlights) for Each Indicator RSI: The oscillator is in oversold (buy) or overbought (sell) zones. SMI: SMI returns from oversold (buy) or overbought (sell) zones. MA: Price crosses the MA (upward for buy, downward for sell). Bollinger Bands: Price returns inside the bands (from below for buy, from above for sell). 5. Success Rate Statistics A table in the top-right corner of the chart displays: The number of buy and sell signals for the selected day of the week. The percentage of cases where the price of the selected candle in the next day or subsequent days reversed as expected (e.g., rising after a buy signal). Statistics are based on comparing the closing price of the signal candle with the closing price of the selected candle (e.g., first, fourth) in the next day or subsequent days. Important: Statistics do not account for price movements within the candle or after its close. The price on the selected candle (e.g., fourth) may be lower than earlier candles but still higher than the signal candle, counting as a positive buy signal, though it does not guarantee profit. 6. Date Range Users can specify the analysis date range, enabling strategy testing on historical data from a chosen period. Ensure the start and end dates are set correctly. Applications The indicator is designed for traders who want to leverage historical patterns for position planning. Examples: On a 4-hour timeframe: If a sell signal highlight appears on Monday and statistics show an 80% chance that the fourth Tuesday candle is bearish, traders may consider playing a correction at the open of that candle. On a daily timeframe: If a highlight indicates market overheating, traders may consider entering a position at the open of the first candle after the signal (e.g., Tuesday), provided statistics suggest an edge. Users can analyze the signal on the first candle and check later candles to validate results, increasing confidence in consistent patterns. Key Settings Indicator Type: Choose between RSI, SMI, MA, or Bollinger Bands. Selected Day: Monday, Tuesday, Wednesday, Thursday, or Friday. Candles to Compare: The number of the candle in the next day or subsequent days (from 1 to 30). Indicator Parameters: Lengths, levels (e.g., oversold/overbought for RSI). Background Colors: Configurable highlights for buy and sell signals. Notes Timeframes: The indicator is optimized for timeframes up to 1 day (e.g., 1D, 12H, 8H, 6H, 4H, 1H, 15M), as the analysis relies on day-of-week patterns. Timeframes lower than 1 day generate more signals due to the higher number of candles per day. Candle Shift: The first candle of the next day may appear shifted on the chart due to timezone differences, affecting the timing of signals across markets or platforms. Statistical Limitations: Results are based on the closing prices of the selected candle, ignoring fluctuations in earlier candles, within the candle, or subsequent price movements. Traders must assess whether entering at the open or after the close of the selected candle is profitable. Testing: Effectiveness depends on historical data and parameter settings. Testing different configurations across markets and timeframes is recommended. Who Is It For? Swing and position traders who base decisions on technical analysis and historical patterns. Market analysts seeking patterns in price behavior by day of the week. TradingView users of all experience levels, thanks to an intuitive interface and flexible settings.
Penunjuk Pine Script®
oleh Uncle_the_shooter
ETF Leverage VerificationDo leveraged ETFs really return what they promise? Do they return the exact 2x or 3x? Or a slightly different multiple? How much do they deviate from the promised leverage multiples? Do these deviations impact investors in a positive or negative manner? These are the questions that I want to answer with this indicator. The ETF Leverage Verification indicator challenges the conventional understanding of leveraged ETFs by measuring how they actually perform versus their theoretical targets. Instead of assuming leveraged ETFs perfectly track their target multiple, this indicator quantifies the real-world behavior by comparing the expected returns versus the actual results on every trading day. Key Features Measures actual versus expected performance of leveraged ETFs Tracks deviation patterns across thousands of trading days Identifies asymmetric behavior in up versus down markets Quantifies beneficial "cushioning effect" during market declines Provides statistical summary of performance patterns Works with any leverage factor (2x, 3x, -1x, etc.) Compatible with all leveraged ETFs (equity, bond, commodity, volatility) How to Use the Indicator Enter the Expected Leverage Factor (default: 2.0) Select the Base Asset (underlying index, e.g., SPX) Select the Leveraged Asset (leveraged ETF, e.g., SSO) Understanding the Results Green markers: Days when the ETF outperformed its expected multiple Red markers: Days when the ETF underperformed its expected multiple Data Table: Positive Deviations: Count of days with better-than-expected performance Negative Deviations: Count of days with worse-than-expected performance Avg Deviation: Average magnitude of deviation from expected returns Frequency Skew: Difference between beneficial deviations in down vs. up markets Impact: Overall assessment of pattern benefit to investors Summary Label: Percentage of positive deviations in up and down markets Total sample size for statistical significance Key Patterns to Look For Positive Deviation in Negative Days: This occurs when a leveraged ETF falls less than expected during market declines. For example, if SPX falls 1% and a 2x ETF falls only 1.8% (instead of the expected 2%), this creates a +0.2% deviation. This pattern is beneficial as it provides downside protection. Negative Deviation in Positive Days: This happens when a leveraged ETF rises less than expected during market advances. For example, if SPX rises 1% and a 2x ETF rises only 1.9% (instead of the expected 2%), this creates a -0.1% deviation. This pattern reduces upside performance. Frequency Skew: The most critical metric that measures how much more frequently beneficial deviations occur in down markets compared to up markets. A higher positive skew indicates a stronger asymmetric pattern that helps long-term performance. Mathematical Background The indicator computes the deviation between expected and actual performance: Deviation = Actual Return - Expected Return Where: Expected Return = Base Asset Return × Leverage Factor The deviation is then categorized into four possible outcomes: Positive deviation on positive market days Negative deviation on positive market days Positive deviation on negative market days Negative deviation on negative market days In short, more positive deviations are good for investors. Please feel free to criticize. I'm happy to improve the indicator.
Penunjuk Pine Script®
oleh HenriqueCentieiro
F&O Time Zones – Final Fixed📌 This indicator highlights high-probability intraday time zones used in Indian F&O (Futures & Options) strategies. Ideal for scalping, breakout setups, and trap avoidance. 🕒 Covered Time Zones: • 9:15 – 9:21 AM → Flash Trades (first 1-minute volatility) • 9:21 – 9:30 AM → Smart Money Trap (VWAP fakeouts) • 9:30 – 9:50 AM → Fake Breakout Zone • 9:50 – 10:15 AM → Institutional Entry Timing • 10:15 – 10:45 AM → VWAP Range Scalps • 10:45 – 11:15 AM → Second Trap Zone • 11:15 – 1:00 PM → Trend Continuation Window • 1:00 – 1:45 PM → Volatility Compression • 1:45 – 2:15 PM → Institutional Exit Phase 1 • 2:15 – 2:45 PM → Trend Acceleration / Reversals • 2:45 – 3:15 PM → Expiry Scalping Zone • 3:15 – 3:30 PM → Dead Zone (square-off time) 🔧 Features: ✓ Clean vertical lines per zone ✓ Optional label positions (top or bottom) ✓ Adjustable line style, width, and color 🧠 Best used on: NIFTY, BANKNIFTY, FINNIFTY (5-min or lower) --- 🔒 **Disclaimer**: This script is for **educational purposes only**. It is not financial advice. Trading involves risk. Please consult a professional or do your own research before taking any positions. — 👤 Script by: **JoanJagan** 🛠️ Built in Pine Script v5
Penunjuk Pine Script®
oleh JoanJagan