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Order Blocks & ImbalanceThis indicator automatically identifies and plots Order Blocks (also known as Fair Value Gaps or Imbalances) based on Smart Money Concepts (SMC) and ICT methodology. It detects significant price inefficiencies (gaps between candles) that often act as institutional supply or demand zones. How It Works (Technical Methodology) 1. Fair Value Gap (FVG) Detection The indicator identifies classic 3-candle imbalances: - Bullish Order Block (Demand): When the low of the current candle is significantly below the high of the candle two bars ago (low - high ). - Bearish Order Block (Supply): When the high of the current candle is significantly above the low of the candle two bars ago (low - high ). A minimum size threshold is enforced using ATR(14) × user-defined multiplier (default 0.5) to filter out minor gaps and focus on meaningful inefficiencies. 2. Zone Creation - Bullish zones are created at the candle two bars ago (the "origin" candle where inefficiency occurred). - Bearish zones use the same origin candle. - Zone boundaries: Top = high of origin candle Bottom = low of origin candle This captures the full range where price moved aggressively, leaving an imbalance that institutions may later revisit. 3. Mitigation Detection Zones can be mitigated in two ways (user-selectable): - "Close": Zone is considered touched only if the close price enters the zone. - "Wick": Zone is touched if any wick (high/low) enters the zone (more sensitive). When mitigated: - Background becomes more transparent - Border turns dotted - Label changes to "Mitigated" Broken zones (price fully closes beyond the opposite side) are automatically deleted. 4. Zone Lifecycle Management - Active Zone: Strong color fill (green for demand, red for supply) with solid border. - Mitigated Zone: Faded color, dotted border – indicates partial fill or reduced strength. - Broken Zone: Automatically removed from chart to reduce clutter. Old zones are also pruned when exceeding 450 total to maintain performance. 5. Smart Visibility Engine (Optional) When enabled: - All zones are initially hidden. - Only the closest relevant zones are shown: - Up to user-defined limit (default 10) highest bullish zones (closest below price) - Up to user-defined limit (default 10) lowest bearish zones (closest above price) - Visible zones are automatically extended to the right and styled appropriately. This keeps the chart clean while highlighting the most actionable zones near current price. 6. Visual Elements - Demand Zones: Green fill, labeled "OB Demand" - Supply Zones: Red fill, labeled "OB Supply" - Tiny text size to minimize chart clutter - Zones drawn as boxes using bar_index positioning How to Use Order Blocks represent areas of price inefficiency where smart money likely entered/exited positions aggressively. - Demand Zones (Green): Potential long entry areas when price returns. Expect buying pressure to defend these levels. Best setups when price retests an active (non-mitigated) zone. - Supply Zones (Red): Potential short entry areas when price returns. Expect selling pressure to emerge. - Mitigated Zones: Lower probability – may act as weaker support/resistance. - Smart Visibility: Highly recommended for cleaner charts. Focuses attention on zones most likely to be tested soon. - Combine with: - Break of Structure (BOS)/Change of Character (CHOCH) - Liquidity grabs - Higher timeframe confluence - Volume or momentum confirmation Use higher FVG threshold (e.g., 0.8–1.0) for fewer, higher-quality zones. Lower threshold for more aggressive detection. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Pine Script® 인디케이터
s3u1l의
Liquidity Maxing [JOAT]Liquidity Maxing - Institutional Liquidity Matrix Introduction Liquidity Maxing is an open-source strategy for TradingView built around institutional market structure concepts. It identifies structural shifts, evaluates trades through multi-factor confluence, and implements layered risk controls. The strategy is designed for swing trading on 4-hour timeframes, focusing on how institutional order flow manifests in price action through structure breaks, inducements, and liquidity sweeps. Core Functionality Liquidity Maxing performs three primary functions: Tracks market structure to identify when control shifts between buyers and sellers Scores potential trades using an eight-factor confluence system Manages position sizing and risk exposure dynamically based on volatility and user-defined limits The goal is selective trading when multiple conditions align, rather than frequent entries. Market Structure Engine The structure engine tracks three key events: Break of Structure (BOS): Price pushes beyond a prior pivot in the direction of trend Change of Character (CHoCH): Control flips from bullish to bearish or vice versa Inducement Sweeps (IDM): Market briefly runs stops against trend before moving in the real direction The structure module continuously updates strong highs and lows, labeling structural shifts visually. IDM markers are optional and disabled by default to maintain chart clarity. The trade engine requires valid structure alignment before considering entries. No structure, no trade. Eight-Factor Confluence System Instead of relying on a single indicator, Liquidity Maxing uses an eight-factor scoring system: Structure alignment with current trend RSI within healthy bands (different ranges for up and down trends) MACD momentum agreement with direction Volume above adaptive baseline Price relative to main trend EMA Session and weekend filter (configurable) Volatility expansion/contraction via ATR shifts Higher-timeframe EMA confirmation Each factor contributes one point to the confluence score. The default minimum confluence threshold is 6 out of 8, but you can adjust this from 1-8 based on your preference for trade frequency versus selectivity. Only when structure and confluence agree does the strategy proceed to risk evaluation. Dynamic Risk Management Risk controls are implemented in multiple layers: ATR-based stops and targets with configurable risk-to-reward ratio (default 2:1) Volatility-adjusted position sizing to maintain consistent risk per trade as ranges expand or compress Daily and weekly risk budgets that halt new entries once thresholds are reached Correlation cooldown to prevent clustered trades in the same direction Global circuit breaker with maximum drawdown limit and emergency kill switch If any guardrail is breached, the strategy will not open new positions. The dashboard clearly displays risk state for transparency. Market Presets The strategy includes configuration presets optimized for different market types: Crypto (BTC/ETH): RSI bands 70/30, volume multiplier 1.2, enhanced ATR scaling Forex Majors: RSI bands 75/25, volume multiplier 1.5 Indices (SPY/QQQ): RSI bands 70/30, volume multiplier 1.3 Custom: Default values for user customization For crypto assets, the strategy automatically applies ATR volatility scaling to account for higher volatility characteristics. Monitoring and Dashboards The strategy includes optional monitoring layers: Risk Operations Dashboard (top-right): Trend state Confluence score ATR value Current position size percentage Global drawdown Daily and weekly risk consumption Correlation guard state Alert mode status Performance Console (top-left): Net profit Current equity Win rate percentage Average trade value Sharpe-style ratio (rolling 50-bar window) Profit factor Open trade count Optional risk tint on chart background provides visual indication of "safe to trade" versus "halted" state. All visualization elements can be toggled on/off from the inputs for clean chart viewing or full telemetry during parameter tuning. Alerts and Automation The strategy supports alert integration with two formats: Standard alerts: Human-readable messages for long, short, and risk-halt conditions Webhook format: JSON-formatted payloads ready for external execution systems (optional) Alert messages are predictable and unambiguous, suitable for manual review or automated forwarding to execution engines. Built-in Validation Suite The strategy includes an optional validation layer that can be enabled from inputs. It checks: Internal consistency of structure and confluence metrics Sanity and ordering of risk parameters Position sizing compliance with user-defined floors and caps This validation is optional and not required for trading, but provides transparency into system operation during development or troubleshooting. Strategy Parameters Market Presets: Configuration Preset: Choose between Crypto (BTC/ETH), Forex Majors, Indices (SPY/QQQ), or Custom Market Structure Architecture: Pivot Length: Default 5 bars Filter by Inducement (IDM): Default enabled Visualize Structure: Default enabled Structure Lookback: Default 50 bars Risk & Capital Preservation: Risk:Reward Ratio: Default 2.0 ATR Period: Default 14 ATR Multiplier (Stop): Default 2.0 Max Drawdown Circuit Breaker: Default 10% Risk per Trade (% Equity): Default 1.5% Daily Risk Limit: Default 6% Weekly Risk Limit: Default 12% Min Position Size (% Equity): Default 0.25% Max Position Size (% Equity): Default 5% Correlation Cooldown (bars): Default 3 Emergency Kill Switch: Default disabled Signal Confluence: RSI Length: Default 14 Trend EMA: Default 200 HTF Confirmation TF: Default Daily Allow Weekend Trading: Default enabled Minimum Confluence Score (0-8): Default 6 Backtesting Considerations When backtesting this strategy, consider the following: Commission: Default 0.05% (adjustable in strategy settings) Initial Capital: Default $100,000 (adjustable) Position Sizing: Uses percentage of equity (default 2% per trade) Timeframe: Optimized for 4-hour charts, though can be tested on other timeframes Results will vary significantly based on: Market conditions and volatility regimes Parameter settings, especially confluence threshold Risk limit configuration Symbol characteristics (crypto vs forex vs equities) Past performance does not guarantee future results. Win rate, profit factor, and other metrics should be evaluated in context of drawdown periods, trade frequency, and market conditions. How to Use This Strategy This is a framework that requires understanding and parameter tuning, not a one-size-fits-all solution. Recommended workflow: Start on 4-hour timeframe with default parameters and appropriate market preset Run backtests and study performance console metrics: focus on drawdown behavior, win rate, profit factor, and trade frequency Adjust confluence threshold to match your risk appetite—higher thresholds mean fewer but more selective trades Set realistic daily and weekly risk budgets appropriate for your account size and risk tolerance Consider ATR multiplier adjustments based on market volatility characteristics Only connect alerts or automation after thorough testing and parameter validation Treat this as a risk framework with an integrated entry engine, not merely an entry signal generator. The risk controls are as important as the trade signals. Strategy Limitations Designed for swing trading timeframes; may not perform optimally on very short timeframes Requires sufficient market structure to identify pivots; may struggle in choppy or low-volatility environments Crypto markets require different parameter tuning than traditional markets Risk limits may prevent entries during favorable setups if daily/weekly budgets are exhausted Correlation cooldown may delay entries that would otherwise be valid Backtesting results depend on data quality and may not reflect live trading with slippage Design Philosophy Many indicators tell you when price crossed a moving average or RSI left oversold. This strategy addresses questions institutional traders ask: Who is in control of the market right now? Is this move structurally significant or just noise? Do I want to add more risk given what I've already done today/week? If I'm wrong, exactly how painful can this be? The strategy provides disciplined, repeatable answers to these questions through systematic structure analysis, confluence filtering, and multi-layer risk management. Technical Implementation The strategy uses Pine Script v6 with: Custom types for structure, confluence, and risk state management Functional programming approach for reusable calculations State management through persistent variables Optional visual elements that can be toggled independently The code is open-source and can be modified to suit individual needs. All important logic is visible in the source code. Disclaimer This script is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation. Trading involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by historical tests of strategies, is not indicative of future results. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested results and actual results subsequently achieved by any particular trading strategy. The user should be aware of the risks involved in trading and should trade only with risk capital. The authors and publishers of this script are not responsible for any losses or damages, including without limitation, any loss of profit, which may arise directly or indirectly from use of or reliance on this script. This strategy uses technical analysis methods and indicators that are not guaranteed to be accurate or profitable. Market conditions change, and strategies that worked in the past may not work in the future. Users should thoroughly test any strategy in a paper trading environment before risking real capital. Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, and other factors not captured in backtesting. The user assumes full responsibility for all trading decisions made using this script. Always consult with a qualified financial advisor before making investment decisions. Enjoy - officialjackofalltrades
Pine Script™ 전략
officialjackofalltrades의
Seasonality Table - [JTCAPITAL]Seasonality Table - is a modified way to use monthly return aggregation across multiple assets to identify seasonal trends in cryptocurrencies and indices. The indicator works by calculating in the following steps: Asset Selection The user defines a list of assets to include in the seasonality table. By default, the script allows up to 32 assets, including popular cryptocurrencies like BTC, ETH, BNB, XRP, and others. Each asset is identified by its symbol (e.g., "CRYPTO:BTCUSD"). Monthly Return Calculation For each asset, the script requests monthly price data using request.security. Specifically, it retrieves the monthly open, close, and month number. The monthly return is calculated as: Return = (Close - Open) / Open This step provides a normalized measure of performance for each asset per month. Data Aggregation The script stores two key arrays for each asset and month combination: sumReturns: The cumulative sum of monthly returns countReturns: The number of months with valid data This allows averaging returns later while handling months with missing data gracefully. Table Construction Rows representing months (January–December) Columns representing each asset An additional column showing the average return for all assets per month A final row showing the yearly average return for each asset Filling the Table The table cells are filled as follows: Monthly returns are averaged for each asset and displayed as a percentage. Positive returns are colored green, negative returns red. Missing data is displayed as a gray “—” placeholder. Each row’s values are normalized for the color gradient to show relative performance. Averages Computation The script calculates two types of averages: Monthly Average Across Assets : Sum of all asset returns for a month divided by the number of valid data points. Yearly Average Per Asset : Sum of all monthly returns for an asset divided by the number of months with valid data. These averages are displayed in the last column and last row respectively, with gradient coloring for visual comparison. Buy and Sell Conditions This indicator does not generate explicit buy or sell signals. Instead, it provides a visual heatmap of historical seasonality, allowing traders to: Identify months where an asset historically outperforms (bullish bias) Identify months with weak historical performance (bearish caution) Compare seasonal patterns across multiple assets for portfolio allocation Filters can be applied by adjusting the asset list, changing the color mapping, or focusing on specific months to highlight seasonal anomalies. Features and Parameters Number of assets: Set how many assets are included in the table (1–32). Assets: Input symbols for the assets you want to analyze. Low % Color: Defines the color for the lowest monthly returns in the gradient. High % Color: Defines the color for the highest monthly returns in the gradient. Cleaned asset names for concise display. Gradient-based visualization for easier pattern recognition. Monthly and yearly averages for comparative analysis. Specifications Monthly Return Calculation Uses the formula (Close - Open) / Open for each asset per month. This standardizes performance across different price scales and ensures comparability between assets. Arrays for Storage sumReturns: Float array storing cumulative monthly returns. countReturns: Integer array storing the number of valid data points per month. These arrays allow efficient aggregation and average calculations without overwriting previous values. Data Retrieval via Security Calls Requests monthly OHLC data for each asset using request.security. Ensures calculations reflect the correct timeframe and allow for historical comparison. Color and Text Assignment Green text for positive returns, red for negative returns. Gray cells indicate missing data. Gradient background shows relative magnitude within the month. Seasonality Analysis The table visually encodes which months historically produce stronger returns. Useful for portfolio rotation, risk management, and identifying cyclical trends. Scalability Supports up to 32 assets. Dynamically adapts to the number of assets and data availability. Gradient scales automatically per row for consistent comparison.
Pine Script® 인디케이터
JTCapitalNL의
EAOverview The provided Pine Script code implements a technical analysis indicator known as the UT Bot Alerts. It is a volatility-based trend-following system designed to generate Buy and Sell signals. It uses the Average True Range (ATR) to calculate a dynamic trailing stop line, which helps identify trend reversals. Key Components & Logic 1. Inputs (User Settings): • Key Value (a): A sensitivity multiplier. A lower value makes the signals more frequent (sensitive), while a higher value filters out noise (less sensitive). • ATR Period (c): The timeframe used to calculate the Average True Range (volatility). Default is 10. • Heikin Ashi (h): A boolean switch (True/False) that allows calculations to be based on Heikin Ashi candles (smoother price action) instead of standard candlesticks. 2. Core Mechanism (ATR Trailing Stop): • The script calculates an ATR Trailing Stop (xATRTrailingStop). • Uptrend: If the price is rising, the stop line moves up but never moves down, acting as dynamic support. • Downtrend: If the price is falling, the stop line moves down but never moves up, acting as dynamic resistance. 3. Signal Generation: • Buy Signal: Generated when the price (specifically a 1-period EMA) crosses above the Trailing Stop line. This indicates a shift to an uptrend. • Sell Signal: Generated when the price crosses below the Trailing Stop line. This indicates a shift to a downtrend. 4. Visuals & Alerts: • Labels: It plots "Buy" (Green) and "Sell" (Red) labels on the chart at the point of the signal. • Bar Colors: It colors the candlesticks Green during an uptrend and Red during a downtrend. • Alerts: It creates alert conditions (UT Long and UT Short) that can be hooked into TradingView's alarm system for real-time notifications. Summary In short, this script is a Trend Reversal Indicator. It helps traders stay in a trade as long as the price remains on the correct side of the volatility-adjusted trailing stop, and it alerts them immediately when the trend direction changes.
Pine Script® 인디케이터
ergulcanakinciogluu의
B + A + D v0.4This script combines a momentum histogram (B-Xtrender) with trend strength and direction filters (ADX + DI). The histogram is built from EMA differentials processed through RSI, showing short- and long-term momentum shifts around the zero line. ADX with DI+ / DI− is used to confirm whether the market is trending and in which direction. Bullish signals appear when the histogram turns positive and DI+ dominates DI− with sufficient trend strength. Bearish signals appear when the histogram turns negative and DI− dominates DI+ with sufficient trend strength. Important note for users: The strongest and most reliable signals are those that appear immediately after the histogram crosses the zero line (from negative to positive or from positive to negative). Signals that appear later, while the histogram is already extended in the trend, tend to be weaker and should be treated as continuation signals rather than high-probability reversals. Credits: Special thanks to the authors of the original concepts and scripts:
Pine Script® 인디케이터
wepritz84의
Linear Regression ChannelsThis indicator dynamically identifies and plots the best-fit linear regression channels based on recent pivot points, optimizing for statistical strength across user-defined depths. How It Works (Technical Methodology) 1. Pivot Point Detection The indicator uses Pine Script's ta.pivothigh() and ta.pivotlow() functions with a configurable sensitivity length to detect swing highs and lows. All recent pivot indices are stored in an array (limited to avoid performance issues), providing potential starting points for regression calculations. 2. Multi-Depth Evaluation Users input comma-separated "Pivot History Depths" (e.g., "5,20,50"). For each depth: - The script evaluates regression fits starting from the most recent pivots, up to the specified depth count. - It calculates linear regression statistics for each possible channel originating from those pivot bars backward to the current bar. 3. Linear Regression Calculation For each candidate channel: - Slope (m) and intercept (b) are computed using least-squares method. - R-squared (R²) measures goodness of fit (how well price follows the trend line). - Standard error of the estimate is calculated to quantify volatility around the regression line. - A composite score = R² × log(length) prioritizes stronger fits on longer periods. 4. Best-Fit Selection and Validation - Only channels with R² ≥ user-defined minimum (default 0.5) are considered valid. - The channel with the highest score for each depth is selected and drawn. - This ensures the most statistically significant and relevant channels are displayed, avoiding weak or short-term noise. 5. Channel Construction - Mean Line: The regression trend line extended slightly into the future. - Inner Channels: ± user-configurable standard deviation multiplier (default 2.0σ) around the mean. - Outer Bands: ±1.5× the inner deviation for additional visual context. - Filled areas between mean and inner channels for better visibility. - Color: Green shades for upward slopes (bullish trend), red shades for downward slopes (bearish trend). 6. Dashboard and Statistics - Optional table in the top-right corner displays for each depth: - Depth value - R² (colored green if >0.7, orange otherwise) - Slope (Beta) – positive blue for uptrend, red for downtrend - Current Z-Score: How many standard deviations the latest close is from the expected regression value (yellow if |Z| > 2) How to Use Regression channels help identify trending markets, potential mean reversion, and overextension. - Upward Channels (Green): Price above the mean may indicate strength; pullbacks to the mean or lower band offer long opportunities. Overextension above upper band could signal exhaustion. - Downward Channels (Red): Price below the mean may indicate weakness; rallies to the mean or upper band offer short opportunities. Overextension below lower band could signal capitulation. - High R² (>0.7): Strong trending channel – trade in direction of slope. - Low R²: Choppy/range-bound market – avoid trend-following trades. - Z-Score: |Z| > 2 suggests price is statistically overextended from the trend (potential reversion setup). - Multi-Depth: Smaller depths catch short-term trends; larger depths capture major trends. Use multiple for confluence across timeframes. Combine with volume, support/resistance, or other indicators for confirmation. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Pine Script® 인디케이터
s3u1l의
Interest ZonesThis indicator automatically identifies and plots "Interest Zones" around significant pivot highs and lows, representing potential areas of institutional interest, support/resistance, or accumulation/distribution. Zones are dynamically merged when pivots cluster near the same price level and extended for visibility. How It Works (Technical Methodology) Pivot Point Detection The indicator uses Pine Script's ta.pivothigh() and ta.pivotlow() with asymmetric left/right lengths (default left=20, right=13) to detect swing highs and lows. This allows for customizable sensitivity – longer left for stronger confirmation, shorter right for faster detection. Zone Start Condition (Filtering) Multiple modes control from which point in history zones begin to be drawn: "None": All historical pivots (limited by max zones). "Auto (Start of Day)": Zones only from the beginning of the current trading day (resets daily). "Manual Date": User-defined fixed date. "Interactive (Chart)": User-confirmed date via input (useful for backtesting specific periods). "Last X Bars": Only pivots within the last user-defined number of bars (default 400). A vertical line marks the start point in date-based modes for visual reference. Zone Construction For each valid pivot: Zone thickness is based on ATR(14) × user-defined multiplier (default 0.3) for dynamic, volatility-adjusted height. Pivot High zones: Centered below the high (potential supply/resistance). Pivot Low zones: Centered above the low (potential demand/support). Zones are drawn as boxes extending to the right, with gray fill and border. Merge & Overlap Logic When a new pivot falls inside an existing zone or is very close (within user-defined "Proximity Sensitivity %" of the zone's midpoint, default 1.1%): The new pivot is merged into the existing zone. A counter ("x2", "x3", etc.) is displayed on the zone, indicating how many pivots have clustered there. The zone is strengthened visually (counter text) and extended further right. This highlights high-interest levels where price repeatedly reversed. Zone Management In "None" mode: Only the most recent user-defined max zones are kept (default 5) – oldest deleted automatically. In other modes: Up to ~490 zones (performance limit), oldest pruned if exceeded. All zones auto-extend to the right on the last bar for continuous visibility. Visual Elements Uniform gray color for all zones (configurable). Transparent background fill (adjustable). Counter text in white (configurable) when zones have multiple touches. Clean, non-directional design – focuses purely on clustered reversal points. How to Use Interest Zones highlight price levels where the market has shown repeated respect through multiple swing pivots – often coinciding with institutional order clusters, psychological levels, or hidden support/resistance. Higher counter values ("x3+", "x5+"): Stronger zones – higher probability of reaction on retest. Use for: Potential reversal or bounce areas when price approaches a zone. Confluence with other tools (order blocks, FVG, volume profile, etc.). Stop-loss placement beyond zones or take-profit at opposite zones. Daily reset ("Auto Start of Day"): Ideal for intraday trading – fresh zones each session. Backtesting: Use "Manual" or "Interactive" date modes to analyze specific historical periods. "Last X Bars": Good for medium-term swing analysis without full history clutter. Adjust ATR multiplier for tighter (lower) or wider (higher) zones based on asset volatility. Increase proximity sensitivity for more aggressive merging in ranging markets. Combine with trend direction, volume, or higher-timeframe structure for best results. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Pine Script® 인디케이터
s3u1l의
Quant VWAP System 3.8 This is the lower-indicator companion to the "Quant VWAP System." While the main chart tells you where the price is, this oscillator tells you how statistically significant the move is. It uses a Z-Score algorithm to normalize price action. This means it ignores dollar amounts and instead measures how many Standard Deviations (SD) the price is away from its mean (VWAP). This allows you to instantly spot "Overbought" or "Oversold" conditions on any asset (Bitcoin, Forex, or Stocks) without needing to guess. Key Features: 1. Normalized Extremes (The "Kill Zones") ±2.0 SD: These dotted lines represent statistical extremes. When the signal line crosses above +2.0, the asset is mathematically expensive (Overbought). When it crosses below -2.0, it is mathematically cheap (Oversold). The Logic: Price rarely sustains movement beyond 2 Standard Deviations without a reversion or a pause. 2. The Squeeze Radar (Yellow Dots) Volatility Detection: A row of Yellow Dots appearing on the center line indicates a "Squeeze." What it means: The Standard Deviation bands are compressing. Energy is building. Warning: DO NOT trade Mean Reversion when you see Yellow Dots. A squeeze often leads to a violent breakout. Wait for the dots to disappear to confirm the direction of the explosion. 3. Momentum Coloring Green Line: Z-Score is rising (Bullish Momentum). Red Line: Z-Score is falling (Bearish Momentum). This helps you spot divergences (e.g., Price makes a Higher High, but the Oscillator makes a Lower High = Exhaustion). How to Trade with It Strategy A: The "Zero Bounce" (Trend Continuation) Scenario: You are in a Bull Trend. Signal: The Oscillator line pulls back to the Zero Line (White), turns Green, and curls upward. Meaning: Price has tested the average (VWAP) and buyers have stepped in. This is a high-probability entry for trend continuation. Strategy B: The "Extreme Fade" (Reversion) Scenario: The Oscillator pushes deep into the Red Zone (+2.0 SD). Signal: The line turns Red and crosses back down below the +2.0 dotted line. A small Red Triangle will appear. Meaning: The statistical extension has failed, and price is likely snapping back to the mean. Strategy C: Squeeze Breakout Scenario: Yellow Dots appear on the center line. Action: Stop trading. Wait. Signal: The dots disappear, and the line shoots aggressively through +1.0 SD (Long) or -1.0 SD (Short). Ride the momentum.
Pine Script® 인디케이터
CustomQuantLabs의
1
SpectreSPECTRE - Precision Reversal Detection System OVERVIEW Spectre is a channel breakout indicator designed to identify high-probability reversal points by combining Donchian channel breaches with momentum confirmation. It generates BUY signals at oversold extremes and SELL signals at overbought extremes, filtered by trend strength to avoid low-conviction setups. This indicator replaces the Regime Engine, which will continue to evolve independently as an experimental platform for testing new strategies and enhancements. Spectre was selected as the production replacement based on extensive backtesting across multiple assets and timeframes, which demonstrated superior win rates compared to alternative sell logic approaches (RSI-based exits outperformed CMO-based exits in 13 of 18 test configurations). SIGNAL LOGIC BUY CONDITIONS (all must be true): Price touches or breaks below Donchian lower band RSI is at or below oversold threshold (default: 35) ADX confirms sufficient trend strength (default: ≥22) BBWP confirms adequate volatility (default: ≥20%) Cooldown period has elapsed since last buy Cascade limit not reached SELL CONDITIONS (all must be true): Price touches or breaks above Donchian upper band RSI is at or above overbought threshold (default: 70) ADX confirms sufficient trend strength (default: ≥22) BBWP confirms adequate volatility (default: ≥20%) Cooldown period has elapsed since last sell Cascade limit not reached Price is not underwater (if protection enabled) KEY FEATURES NON-REPAINTING DONCHIAN CHANNELS Uses previous bar's high/low extremes to prevent signal repainting. What you see in history is what you would have seen in real-time. MULTI-FACTOR CONFIRMATION Signals require agreement between price action (Donchian), momentum (RSI), and trend strength (ADX) to filter out low-quality setups. VOLATILITY FILTER (BBWP) Bollinger Band Width Percentile measures current volatility relative to historical norms. Low BBWP indicates compressed ranges where breakouts are less reliable - signals are blocked until volatility returns. CASCADE PROTECTION Limits consecutive signals in the same direction to prevent overexposure during extended trends. Resets when a signal fires in the opposite direction. UNDERWATER PROTECTION (Unique to Spectre) Tracks average entry price of recent buys and blocks sell signals when price has fallen significantly below this level. This prevents locking in large losses during drawdowns and allows positions to recover before exiting. REGIME DETECTION Visual background shading indicates current market regime based on Directional Indicator spread and On-Balance Volume trend. Green indicates bullish regime (+DI > -DI, OBV rising). Red indicates bearish regime (-DI > +DI, OBV falling). White/Gray indicates neutral or ranging conditions. RECOMMENDED SETTINGS BY TIMEFRAME For 5-minute charts, use RSI Buy 30-35, RSI Sell 70-75, ADX 20-24. For 15-minute charts, use RSI Buy 30-35, RSI Sell 68-72, ADX 22-26. For 30-minute charts (default), use RSI Buy 32-38, RSI Sell 68-72, ADX 22-26. For 1-hour charts, use RSI Buy 35-40, RSI Sell 65-70, ADX 20-24. For 4-hour charts, use RSI Buy 35-40, RSI Sell 65-70, ADX 18-22. These are starting points - optimize for your specific assets. INFO PANEL GUIDE Regime shows current market bias (Bullish/Bearish/Neutral). RSI shows current value with buy/sell threshold status. ADX shows trend strength categorized as Weak (<15), Range (15-24), Trend (24-34), or Strong (>34). BBWP shows volatility percentile with a warning symbol when below minimum. Donchian shows price position relative to channel bands. Avg Buy shows average entry price and underwater status. Cascade shows current consecutive signal counts versus limits. USAGE TIPS Works best in ranging or mean-reverting markets Reduce RSI thresholds in strong trends (tighter = fewer signals) Increase ADX minimum in choppy markets to filter noise Enable underwater protection for swing trading, disable for scalping Use regime background to contextualize signals (buy in green, sell in red) Combine with support/resistance levels for additional confirmation
Pine Script® 인디케이터
ralis24의
Elite Monday Range V3- ProfessionalElite Monday Range V3 - Advanced Institutional Bias & Analysis Overview The Elite Monday Range V3 is a high-performance decision-support tool designed for traders who utilize the "Weekly Open" and "Monday's Range" as their primary benchmark for the trading week. Unlike standard range indicators, this script employs an advanced Multi-Asset Analysis Engine to determine the weekly bias with institutional-grade precision. It doesn't just draw lines; it analyzes Previous Week's Close (PWC), Monday's Candle Structures (Price Action), and Internal Liquidity to provide a definitive "Directional Bias" and "Confidence Score." Key Features Smart Multi-Asset Detection: Automatically detects if you are trading Forex, Crypto, or Indices and adjusts its internal logic and strategy suggestions accordingly. Institutional Bias Engine: Calculates a Confidence Score (from -4 to +4) based on 4 critical criteria: Price vs. Previous Week Close: Checks if the bulls or bears are maintaining momentum from the prior week. Monday Candle Analysis: Automatically identifies Pin Bars (Liquidity Grabs) or Strong Engulfing movements. Price vs. Monday Midpoint (Equilibrium): The ultimate pivot point for weekly trend direction. Price vs. Weekly Open: Tracks the "true" opening sentiment. Liquidity Hunt Signals (Judas Swing): Visual alerts for LIQ BUY and LIQ SELL when price sweeps Monday's extremes and returns inside the range—a classic sign of institutional manipulation before a trend. Symmetric Expansion Levels: Projects +50%, +100%, -50%, and -100% extensions of the Monday range to identify high-probability Take Profit (TP) and reversal zones. Dynamic Professional Dashboard: A sleek, real-time table on your chart that summarizes Asset Type, Weekly Bias, Candle Info, and the Confidence Score. Force Overlay Technology: Ensures all lines and labels remain visible and crisp on the top layer, above candles and other indicators. How to Trade with the Elite Dashboard Check the "Net Weekly Bias": Look for STRONG BULL or STRONG BEAR. Verify Confidence Score: A score of 3 or 4 (or -3/-4 for shorts) indicates high-probability conditions. Identify Entry: If the Bias is "STRONG BULL," wait for a retest of the Monday Mid (MID) or Monday High (MON H). Confirm with Liquidity: Look for a LIQ BUY signal near the Monday Low for the highest-quality "A+ Setup." Target: Use the Expansion Levels (+50% / +100%) as your primary targets for the week. Technical Settings Lookback Weeks: Choose exactly how many historical weeks to display to keep your chart clean. Customizable Colors: Fully adjustable colors for Monday ranges and expansion projections. Line Width: User-defined thickness for professional visual clarity.
Pine Script® 인디케이터
PipsPilot의
cd_VW_Cx IMPROVED - Quant VWAP System: Regime, Magnets & Z-ScoQuant VWAP System: Regime, Magnets & Z-Score Matrix This indicator is a comprehensive Quantitative Trading System designed to move beyond simple support and resistance. Instead of static lines, it uses Statistical Probability (Z-Score) and Standard Deviation to define the current market regime, identify institutional value zones, and project high-probability liquidity targets. It is engineered for Day Traders and Scalpers (Crypto & Futures) who need to know if the market is Trending, Ranging, or preparing for a Breakout. 1. The "Regime" System (Standard Deviation Bands) The core engine anchors a VWAP (Volume Weighted Average Price) to your chosen timeframe (Daily, Weekly, or Monthly) and projects volatility bands based on market variance. The Trend Zone (Inner Band / 1.0 SD): This is the "Fair Value" zone. In a healthy trend, price will pull back into this zone and hold. A hold here signals a high-probability continuation (Trend Following). The Reversion Zone (Outer Band / 2.0 SD): This represents a statistical extreme. Price rarely sustains movement beyond 2 Standard Deviations without a reversion. A touch of this band signals "Overbought" or "Oversold" conditions. 2. Liquidity Magnets (Virgin VWAPs) The script automatically tracks "Unvisited VWAPs" from previous sessions. These are price levels where significant volume occurred but have not yet been re-tested. The Logic: Algorithms often target these "open loops." The script visualizes them as Blue Dashed Lines with price tags. Smart Scaling (Anti-Scrunch): Includes a custom "Ghost Engine" that automatically hides or "ghosts" magnets that are too far away. This prevents your chart from being squashed (scrunched) on lower timeframes, keeping your candles perfectly readable while still tracking targets in the background. 3. The Quant Matrix (Dashboard) A real-time Heads-Up Display (HUD) that interprets the data for you: Regime: Detects Volatility Squeezes. If the bands compress, it signals "⚠ SQUEEZE", warning you to stop mean-reversion trading and prepare for an explosive breakout. Bias: Color-coded Trend Direction (Bullish/Bearish) based on VWAP slope. Signal: actionable text prompts such as "BUY DIP" (Trend Following), "FADE EXT" (Mean Reversion), or "PREP BREAK" (Squeeze). 4. Visual Intelligence Bold Day Separators: Clear, vertical dotted dividers with Date Stamps to instantly separate trading sessions. Dynamic Labels: Floating labels on the right axis identify exactly which deviation level is which, preventing chart confusion. How to Use Strategy A: The Trend Pullback (continuation) Check Matrix: Ensure Bias is BULLISH (Green). Wait: Allow price to pull back into the Inner Band (Dark Green Zone). Trigger: If price holds the Center VWAP or the -1.0 SD line, enter Long. Target: The next Liquidity Magnet above or the +2.0 SD band. Strategy B: The Reversion Fade (Counter-Trend) Check Matrix: Ensure price is labeled "EXTREME" or Signal says "FADE EXT". Trigger: Price touches or pierces the Outer Band (2.0 SD). Action: Enter counter-trend (Short) with a target back to the Center VWAP (Mean Reversion). Strategy C: The Magnet Target Identify a "MAGNET" line (Blue Dashed) near current price. These act as high-probability Take Profit levels. Price will often rush to these levels to "close the loop" before reversing. Settings Anchor: Daily (default), Weekly, or Monthly. Magnet Focus Range: Adjusts how aggressively the script hides distant magnets to fix chart scaling (Default: 2%). Visuals: Fully customizable colors, label sizes, and dashboard position.
Pine Script® 인디케이터
CustomQuantLabs의
1
Early Trend Warning Using MTF AnalysisAs an active trader and software professional, I build my own indicators. I built this one today which I want to share with fellow traders. If you are a trend trader then HTF/MTF analysis is very critical. It is virtually impossible to constantly track multiple tickers all the time. One should not take a buy trade when MTF is bearish and vice versa. This indicator solves this problem. The EMA Trend Warning indicator helps traders detect potential trend changes early by analyzing price interactions with multi-timeframe Exponential Moving Averages (EMAs) and their momentum. It sends instant alerts when price crosses above or below EMAs with supporting momentum, making it easier to capture bullish or bearish moves. The EMA Trend Warning indicator detects potential trend changes by monitoring price against 14-period EMAs on multiple timeframes: 15-minute, 30-minute, and 1-hour charts. It sends alerts when the price crosses above or below the EMA with supporting momentum, helping traders identify early bullish or bearish signals. How It Works: 1. Calculates 14-period EMA on 15m, 30m, and 1H charts. 2. Computes EMA slopes to determine momentum direction. 3. BUY alert triggers when price crosses above the 15m EMA and at least one EMA slope is upward. 4. SELL alert triggers when price crosses below the 15m EMA and at least one EMA slope is downward. 5. Alerts fire once per bar and track previous state to avoid repeated notifications. Features: 1. Multi-timeframe EMA monitoring. 2. Momentum confirmation with EMA slopes. 3. Instant BUY/SELL alerts. 4. Tracks previous trend state to prevent alert spam. Benefits: 1. Detects trend changes early for better entry timing. 2. Confirms trend across multiple timeframes. 3. Saves time with automated alerts. 4. Helps traders align trades with market momentum. Please consider this indicator as EARLY WARNING ONLY. Take trade based on multiple confluences post receiving any warning. I have tested it on BTCUSD since yesterday, multiple warning alerts were 100% perfect.
Pine Script® 인디케이터
arupnj2018의
SMC Strategy Tool v1.0 - Institutional SuiteDescription: The SMC Strategy Tool v1.0 is a comprehensive technical analysis suite designed for traders following the Smart Money Concepts (SMC) methodology. It combines market structure, institutional liquidity zones, and mathematical pivots to provide a high-probability trading environment. Key Features: Automatic Market Structure: Real-time detection of CHoCH (Change of Character) and BOS (Break of Structure) based on price action confirmation. Institutional Order Flow (FVG): Identifies Fair Value Gaps with a dynamic mitigation system (boxes disappear once the price fills the inefficiency). Premium & Discount Zones: Automatically calculates the current trading range and highlights the "cheap" (Discount) and "expensive" (Premium) areas for optimal entry. Daily Pivot Points: Seamless integration of Daily Pivots (P, R1-R3, S1-S3) for institutional confluence. Live Analytics Dashboard: A clean, non-intrusive table monitoring Market Phase, RSI (Momentum), and ATR (Volatility). Smart Alerts: Built-in logic for "Discount Entry" during Bullish trends and "Premium Entry" during Bearish trends. How to Trade: Identify the Trend: Look at the Dashboard for the current Market Phase (Bullish/Bearish). Wait for Value: Do not chase the price. Wait for the price to return to the Discount Zone (for Longs) or Premium Zone (for Shorts). Find Confluence: The highest probability trades occur when a Discount/Premium entry aligns with an FVG and a Daily Pivot level. Confirmation: Check the RSI cell. If it's red/green, the move might be exhausted; wait for a neutral reading or a structural reaction. Available Alerts: Trend Shift (CHoCH): Get notified immediately when the market structure shifts (e.g., from Bearish to Bullish). Trend Continuation (BOS): Signals when the current trend is confirmed by a new structural break. Discount Zone Entry (Long Bias): Notifies you when the price enters the Discount Zone while the Market Phase is Bullish. This prevents FOMO buying at high prices. Premium Zone Entry (Short Bias): Notifies you when the price enters the Premium Zone while the Market Phase is Bearish. This ensures you are selling at institutional "expensive" prices. How to set up Alerts: Click the Alerts icon in the right sidebar. Under Condition, select: SMC Strategy Tool v1.0 - Institutional Suite. Select "Any alert() function call" (or Qualsiasi chiamata alla funzione alert()). Choose your preferred notification method (Popup, Email, or App notification). The alert message will automatically include the Ticker, Timeframe, and the specific action to take!
Pine Script® 인디케이터
mentalExpert19609의
Multi-Fractal Trading Plan [Gemini] v22Multi-Fractal Trading Plan The Multi-Fractal Trading Plan is a quantitative market structure engine designed to filter noise and generate actionable daily strategies. Unlike standard auto-trendline indicators that clutter charts with irrelevant data, this system utilizes Fractal Geometry to categorize market liquidity into three institutional layers: Minor (Intraday), Medium (Swing), and Major (Institutional). This tool functions as a Strategic Advisor, not just a drawing tool. It calculates the delta between price and structural pivots in real-time, alerting you when price enters high-probability "Hot Zones" and generating a live trading plan on your dashboard. Core Features 1. Three-Tier Fractal Engine The algorithm tracks 15 distinct fractal lengths simultaneously, aggregating them into a clean hierarchy: Minor Structure (Thin Lines): Captures high-frequency volatility for scalping. Medium Structure (Medium Lines): Identifies significant swing points and intermediate targets. Major Structure (Thick Lines): Maps the "Institutional" defense lines where trend reversals and major breakouts occur. 2. The Strategic Dashboard A dynamic data panel in the bottom-right eliminates analysis paralysis: Floor & Ceiling Targets: Displays the precise price levels of the nearest Support and Resistance. AI Logic Output: The script analyzes market conditions to generate a specific command, such as "WATCH FOR BREAKOUT", "Near Lows (Look Long?)", or "WAIT (No Setup)". 3. "Hot Zone" Detection Never miss a critical test of structure. Dynamic Alerting: When price trades within 1% (adjustable) of a Major Trend Line, the indicator’s labels turn Bright Yellow and flash a warning (e.g., "⚠️ WATCH: MAJOR RES"). Focus: This visual cue highlights the exact moment execution is required, reducing screen fatigue. 4. The Quant Web & Markers Pivot Validation: Deep blue fractal markers (▲/▼) identify the exact candles responsible for the structure. Inter-Timeframe Web: Faint dotted lines connect Minor pivots directly to Major pivots, visualizing the "hidden" elasticity between short-term noise and long-term trend anchors. 5. Enterprise Stability Engine Engineered to solve the "Vertical Line" and "1970 Epoch" glitches common in Pine Script trend indicators. This engine is optimized for Futures (NQ/ES), Forex, and Crypto, ensuring stability across all timeframes (including gaps on ETH/RTH charts). Operational Guide Consult the Dashboard: Before executing, check the "Strategy" output. If it says "WAIT", the market is in chop. If it says "WATCH FOR BOUNCE", prepare your entry criteria. Monitor Hot Zones: A Yellow Label indicates price is testing a major liquidity level. This is your signal to watch for a rejection wick or a high-volume breakout. Utilize the Web: Use the faint web lines to find "confluence" where a short-term pullback aligns with a long-term trend line. Configuration Show History: Toggles "Ghost Lines" (Blue) to display historical structure and broken trends. Fractal Points: Toggles the geometric pivot markers. Hot Zone %: Adjusts the sensitivity of the Yellow Warning system (Default: 1%). Max Line Length: A noise filter that removes stale or "spiderweb" lines that are no longer statistically relevant.
Pine Script® 인디케이터
CustomQuantLabs의
OCC Strategy Optimized (MA 5 + Delayed TSL)# OCC Strategy Optimized (MA 5 + Delayed TSL) - User Guide ## Introduction The **OCC Strategy Optimized** is an enhanced version of the classic **Open Close Cross (OCC)** strategy. This strategy is designed for high-precision trend following, utilizing the crossover logic of Open and Close moving averages to identify market shifts. This optimized version incorporates advanced risk management, multi-timeframe analysis, and a variety of moving average types to provide a robust trading solution for modern markets. > > **Special Thanks:** This strategy is based on the original work of **JustUncleL**, a renowned Pine Script developer. You can find their work and profile on TradingView here: (in.tradingview.com). --- ## Key Features ### 1. Optimized Core Logic - **MA Period (Default: 5):** The strategy is tuned with a shorter MA length to reduce lag and capture trends earlier. - **Crossing Logic:** Signals are generated when the Moving Average of the **Close** crosses the Moving Average of the **Open**. ### 2. Multi-Timeframe (MTF) Analysis - **Alternate Resolution:** Use a higher timeframe (Resolution Multiplier) to filter out noise. By default, it uses $3 \times$ your current chart timeframe to confirm the trend. - **Non-Repainting:** Includes an optional delay offset to ensure signals are confirmed and do not disappear (repaint) after the bar closes. ### 3. Advanced Risk Management This script features a hierarchical exit system to protect your capital and lock in profits: - **Fixed Stop Loss (Initial):** Protects against sudden market reversals immediately after entry. - **Delayed Trailing Stop Loss (TSL):** - **Activation Delay:** The TSL only activates after the trade reaches a specific profit threshold (e.g., 1%). This prevents being stopped out too early in the trade's development. - **Ratchet Trail:** Once activated, the stop loss "ratchets" up/down, never moving backward, ensuring you lock in profits as the trend continues. - **Take Profit (TP):** A fixed percentage target to exit the trade at a pre-defined profit level. ### 4. Versatility - **12 MA Types:** Choose from SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HullMA, LSMA, ALMA, SSMA, and TMA. - **Trade Direction:** Toggle between Long-only, Short-only, or Both. - **Visuals:** Optional bar coloring to visualize the trend directly on the candlesticks. --- ## User Input Guide ### Core Settings - **Use Alternate Resolution?:** Enable this to use the MTF logic. - **Multiplier for Alternate Resolution:** How many charts higher the "filter" timeframe should be. - **MA Type:** Select your preferred moving average smoothing method. - **MA Period:** The length of the Open/Close averages. - **Delay Open/Close MA:** Use `1` or higher to force non-repainting behavior. ### Risk Management Settings - **Use Trailing Stop Loss?:** Enables the TSL system. - **Trailing Stop %:** The distance the stop follows behind the price (Optimized Default: 1.5%). - **TSL Activation % (Delay):** The profit % required before the TSL starts moving. (Optimized Default: 2.0% to ensure 0.5% profit is locked immediately). - **Initial Fixed Stop Loss %:** Your hard stop if the trade immediately goes against you. - **Take Profit %:** Your ultimate profit target for the trade. --- ## How to Trade with This Strategy 1. **Identify the Trend:** Look for the Moving Average lines (Close vs Open) to cross. 2. **Wait for Confirmation:** If using MTF, ensure the higher timeframe also shows a trend change. 3. **Manage the Trade:** Let the TSL work. With the default **2.0% Activation** and **1.5% Trail**, the strategy will automatically lock in **0.5% profit** the moment the threshold is hit, then follow the price higher. 4. **Position Sizing:** Adjust the `Properties` tab in the script settings to match your desired capital allocation (Default is 10% of equity). --- ## Recommended Settings 1. Trialing < Activation 2. Check ranging ## Credits Original Strategy by: **JustUncleL** Optimized and Enhanced by: **Antigravity AI**
Pine Script™ 전략
trade_crush의
Big Notional Volume Bubbles (Lower-TF Order Flow Approximation)Big Notional Volume Bubbles (Lower-TF Order Flow Approximation) ### Overview This indicator visualizes large notional trading activity by scanning lower-timeframe candles inside each chart bar and highlighting periods where unusually high traded value (volume × price) occurs. This script is intended to help short-term traders and scalpers identify bursts of aggressive activity, potential absorption zones, and areas of heightened participation, using standard OHLCV data. Important: This indicator does not access true market order tape or DOM data. It is an approximation based on lower-timeframe OHLCV data provided by TradingView. What the Indicator Shows Each bubble represents a lower-timeframe candle where traded notional value exceeds a user-defined threshold. Bubble size scales with the notional value of that candle. Green bubbles indicate the lower-timeframe candle closed higher (buy-side pressure approximation). Red bubbles indicate the lower-timeframe candle closed lower (sell-side pressure approximation). Bubbles can be plotted at candle closes or wick extremes for contextual analysis. How It Works 1. Lower-timeframe OHLCV data is requested using `request.security_lower_tf`. 2. Notional value is calculated as volume × price for each micro-candle. 3. The script selects the largest notional events per bar that exceed the minimum threshold. 4. These events are rendered as bubbles on the main price chart. Intended Use Cases Scalping and short-term trading Momentum ignition and continuation analysis Absorption and failed breakout detection Effort versus result analysis Confirmation at key structural levels Recommended Settings Lower timeframe: Start with 1 (1 minute). Seconds-based timeframes may not be supported on all feeds. Minimum notional (USD/USDT): BTC / ETH: 25,000 – 250,000 Mid-cap assets: 5,000 – 50,000 Adjust based on liquidity and volatility Max bubbles per bar: 3–8 to avoid visual clutter Limitations This indicator does not display individual market orders or aggressor-side execution. Buy/sell classification is inferred from candle direction, not bid/ask data. Lower-timeframe data availability depends on the selected symbol and exchange feed. This tool should not be used as a standalone signal generator. Best Practices Use in conjunction with market structure, VWAP, and key price levels. Focus on price behavior after a bubble appears rather than the bubble itself. Interpret bubbles as areas of interest, not directional guarantees.
Pine Script® 인디케이터
shabahat_kazmi1의
Elephant Edge Session Levels Predictor**Elephant Edge** is a robust trading tool designed to streamline decision-making for swing and intraday traders alike. It combines accuracy and simplicity to help you spot promising buy and sell signals with ease. The Session Levels Predictor+ feature draws upper and lower percentile lines derived from session data, enabling traders to pinpoint key support and resistance areas accurately. It computes these percentile projections from daily sessions automatically and displays them as sleek, adjustable lines—perfect for intraday and short-term strategies focused on statistical price boundaries. For **swing traders**, Elephant Edge highlights pivotal market reversals and trend shifts, allowing you to seize bigger trends and maintain momentum. For **intraday traders**, it offers precise buy and sell thresholds, providing reliable entry and exit cues during active market hours. No matter if you're chasing quick trades or sustaining positions over several sessions, Elephant Edge promotes a methodical and disciplined strategy. Its smart signals cut through market clutter, delivering a solid advantage while eliminating emotional biases. With **Elephant Edge**, you shift from merely responding to the market to trading with **precision, assurance, and reliability**.
Pine Script® 인디케이터
rajvardhan7744의
Williams Fractals / Goldilocks Edition / [NPR21]This indicator, Williams Fractals — Goldilocks Edition , is a high-visibility technical analysis tool designed to identify key price reversal points on your chart. It is a refined version of the classic Williams Fractal, optimized for modern dark-themed trading environments with an emphasis on clarity and precise visual anchoring. Indicator Description The indicator identifies local price peaks (Highs) and valleys (Lows) using a specific look-back and look-forward period. Unlike standard fractals that can be difficult to read, this version features: Enhanced Contrast: Darkened background labels (Deep Teal for Buy, Deep Red for Sell) that make the white and yellow text highly legible. Long "V" Stems: Integrated arrow extensions that bridge the gap between the label and the candle, pointing precisely to the pivot point to remove any ambiguity during high volatility. Customizable Spacing: User-defined offsets that allow the labels to sit comfortably above or below price action without overlapping other indicators. How to Use It Identify Reversals: A BUY signal appears under a local low, suggesting a potential upward move. A SELL signal appears above a local high, suggesting a potential downward move. Support & Resistance: Use the fractal points to draw horizontal support and resistance lines. Trend Confirmation: Fractals are most effective when used in conjunction with other indicators (like the EMA or WMA visible in your setup) to confirm trend direction. Wait for Confirmation: Remember that a fractal is only "confirmed" after $n$ bars have closed to the right of the signal. Understanding the "Periods (n)" Setting The frequency of signals is entirely dependent on your Periods (n) input. Lower Values (e.g., n=2): The indicator will find many local pivots, resulting in more frequent signals. This is useful for scalping or lower timeframes but may lead to more "noise". Higher Values (e.g., n=5 or 10): The indicator requires a more significant peak or valley to trigger, resulting in fewer, more significant signals. This is better for identifying major trend shifts.
Pine Script® 인디케이터
NPR21의