Mulakan

Educational

3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator Overview The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities. Key Features 🎥 Camera & Projection Controls Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions Pro Tip: Increase Z-scale to amplify terrain features for better visibility 🌐 Grid & Surface Configuration Resolution: Adjust X (16-64) and Y (12-48) grid density Visual Elements: Toggle surface fill, wireframe, and node markers Optimization: Higher resolution provides more detail but requires more processing power 📊 Data Integration Lookback Period: 50-500 bars of historical analysis Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids Weighted Analysis: Each data source contributes proportionally to the terrain height How to Use the Frontend 💛 Price Line Tracking (Your Primary Focus) The yellow price line is your most important guide: Monitor Price Movement: Track how the yellow line interacts with the 3D terrain Identify Key Levels: Watch for these critical interactions: Order Blocks (Green/Red Zones): When yellow price line enters green zones = Bullish order block When yellow price line enters red zones = Bearish order block These represent institutional accumulation/distribution areas Liquidity Voids (Yellow Zones): When yellow price line enters yellow void areas = Potential acceleration zones Voids indicate price gaps where minimal trading occurred Price often moves rapidly through voids toward next liquidity pool Terrain Reading: High Terrain Peaks: High volume/interest areas (support/resistance) Low Terrain Valleys: Low volume areas (potential breakout zones) Color Coding: Green terrain = Bullish volume dominance Red terrain = Bearish volume dominance Purple = Neutral/transition areas 📈 Volume Profile Integration POC (Point of Control): Automatically marks highest volume level Volume Bins: Adjust granularity (10-50 bins) Height Weight: Control how much volume affects terrain elevation 🏛️ Order Block Detection Detection Length: 5-50 bar lookback for block identification Strength Weighting: Recent blocks have greater impact on terrain Candle Body Option: Use full candles or body-only for block definition 💧 Liquidity Zone Tracking Multiple Levels: Track 3-10 key liquidity zones Buy/Sell Side: Different colors for bid/ask liquidity Strength Decay: Older zones have diminishing terrain impact 🌊 Liquidity Void Identification Threshold Multiplier: Adjust sensitivity (0.5-2.0) Height Amplification: Voids create significant terrain depressions Acceleration Zones: Price typically moves quickly through void areas Practical Trading Application Bullish Scenario: Yellow price line approaches green order block terrain Price finds support in elevated bullish volume areas Terrain shows consistent elevation through key levels Bearish Scenario: Yellow price line struggles at red order block resistance Price falls through liquidity voids toward lower terrain Bearish volume peaks dominate the landscape Breakout Setup: Yellow price line consolidates in flat terrain Minimal resistance (low terrain) in projected direction Clear path toward distant liquidity zones Pro Tips Start Simple: Begin with default settings, then gradually customize Focus on Yellow Line: Your primary indicator of current price position Combine Timeframes: Use the same terrain across multiple timeframes for confluence Volume Confirmation: Ensure terrain peaks align with actual volume spikes Void Anticipation: When price enters voids, prepare for potential rapid movement Order Blocks & Voids Architecture Order Blocks Calculation Trigger: Price breaks fractal swing points Bullish OB: When close > swing high → find lowest low in lookback period Bearish OB: When close < swing low → find highest high in lookback period Strength: Based on price distance from block extremes Storage: Global array maintains last 50 blocks with FIFO management Liquidity Voids Detection Trigger: Price gaps exceeding ATR threshold Bull Void: Low - high > (ATR200 × multiplier) Bear Void: Low - high > (ATR200 × multiplier) Validation: Close confirms gap direction Storage: Global array maintains last 30 voids Key Design Features Real-time Updates: Calculated every bar, not just on last bar Global Persistence: Arrays maintain state across executions FIFO Management: Automatic cleanup of oldest entries Configurable Sensitivity: Adjustable lookback periods and thresholds Scientific Testing Framework Hypothesis Testing Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts Testable Metrics: Prediction Accuracy: Does terrain structure predict future support/resistance? Reaction Time: Faster identification of key levels vs conventional methods False Positive Reduction: Lower rate of failed breakouts/breakdowns Control Variables Market Regime: Trending vs ranging conditions Asset Classes: Forex, equities, cryptocurrencies Timeframes: M5 to H4 for intraday, D1 for swing Volume Conditions: High vs low volume environments Data Collection Protocol Terrain Features to Quantify: Slope gradient changes at price inflection points Volume peak clustering density Order block terrain elevation vs subsequent price action Void depth correlation with momentum acceleration Control Group: Traditional support/resistance + volume profile Experimental Group: 3D Institutional Flow Terrain Statistical Measures Signal-to-Noise Ratio: Terrain features vs random price movements Lead Time: Terrain formation ahead of price confirmation Effect Size: Performance difference between groups (Cohen's d) Statistical Power: Sample size requirements for significance Validation Methodology Blind Testing: Remove price labels from terrain screenshots Have traders identify key levels from terrain alone Measure accuracy vs actual price action Backtesting Framework: Automated terrain feature extraction Correlation with future price reversals/breakouts Monte Carlo simulation for significance testing Expected Outcomes If hypothesis valid: Significant improvement in level prediction accuracy (p < 0.05) Reduced latency in institutional level identification Higher risk-reward ratios on terrain-confirmed trades Research Questions: Does terrain elevation reliably indicate institutional interest zones? Are liquidity voids statistically significant momentum predictors? Does multi-timeframe terrain analysis improve signal quality? How does terrain persistence correlate with level strength? LuxAlgo BigBeluga hapharmonic
Penunjuk Pine Script®
oleh SurgeGuru
2
Dual FUT/Spot price with next monthly expiryThis Pine Script dashboard indicator is specifically designed for pair trading strategies in Indian futures markets (NSE). Let me break down how it facilitates pair trading: Core Pair Trading Concept The script monitors two correlated stocks simultaneously (Symbol A and Symbol B), comparing their: Spot prices vs Futures prices Current month futures vs Next month futures Premium/discount relationships Key Pair Trading Features 1. Dual Symbol Monitoring symbolA = "NSE:TCS" (Default) symbolB = "NSE:INFY" (Default) Allows traders to watch two stocks in the same sector (like TCS and Infosys in IT) to identify relative value opportunities. 2. Basis Analysis for Each Stock The indicator calculates the basis (difference between futures and spot): Price Difference: FUT - SPOT Premium/Discount %: ((FUT - SPOT) / SPOT) × 100 This helps identify when one stock's futures are relatively more expensive than the other's. 3. Multi-Expiry View Near Month Futures (1!): Current active contract Next Month Futures (2!): Upcoming contract This enables calendar spread analysis within each stock and helps anticipate rollover effects. 4. Comparative Table The detailed table displays side-by-side: Symbol Spot Price Near Future Near Diff (%)Next Monthly Next Diff (%)Lot SizeTCS₹3,500₹3,520+20 (+0.57%)₹3,535+35 (+1.00%)125INFY₹1,450₹1,455+5 (+0.34%)₹1,460+10 (+0.69%)600 5. Lot Size Integration Critical for position sizing in pair trades - the indicator fetches actual contract lot sizes, enabling proper hedge ratio calculations. Pair Trading Strategies Enabled Strategy 1: Basis Divergence Trading When TCS futures trade at +0.8% premium and INFY at +0.2% Trade: Short TCS futures, Long INFY futures (betting on convergence) The indicator highlights these differences with color-coded cells Strategy 2: Calendar Spread Arbitrage Compare near month vs next month premium for each stock If TCS shows wider calendar spread than INFY, potential arbitrage exists Trade the relative calendar spread difference Strategy 3: Premium/Discount Reversal Monitor which stock moves from premium to discount (or vice versa) Color indicators (green/red) make this immediately visible Enter pairs when relative premium relationships normalize Strategy 4: Lot-Adjusted Pair Trading Use lot size data to create market-neutral positions Example: If TCS lot = 125 and INFY lot = 600 Ratio = 600/125 = 4.8:1 for rupee-neutral positioning Visual Trading Cues Green cells: Futures at premium (contango) Red cells: Futures at discount (backwardation) Purple values: Next month contracts Yellow highlights: Spot prices Practical Pair Trading Example Scenario: Both stocks in same sector, historically correlated Normal state: Both show +0.5% premium Divergence: TCS jumps to +1.2%, INFY stays at +0.5% Trade Signal: Short TCS futures (expensive) Long INFY futures (relatively cheap) Exit: When premiums converge back to similar levels Hedge ratio: Use lot sizes to maintain proper exposure balance Advantages for Pair Traders ✓ Single-screen monitoring of both legs ✓ Real-time basis calculations eliminate manual math ✓ Multi-timeframe view (near + next month) ✓ Automatic lot size fetching for position sizing ✓ Visual alerts through color coding ✓ Percentage normalization for easy comparison This indicator essentially transforms raw price data into actionable pair trading intelligence by highlighting relative value discrepancies between correlated assets in the futures market. Enjoy!!
Penunjuk Pine Script®
oleh kingshukghosh71
Scientific Correlation Testing FrameworkScientific Correlation Testing Framework - Comprehensive Guide Introduction to Correlation Analysis What is Correlation? Correlation is a statistical measure that describes the degree to which two assets move in relation to each other. Think of it like measuring how closely two dancers move together on a dance floor. Perfect Positive Correlation (+1.0): Both dancers move in perfect sync, same direction, same speed Perfect Negative Correlation (-1.0): Both dancers move in perfect sync but in opposite directions Zero Correlation (0): The dancers move completely independently of each other In financial markets, correlation helps us understand relationships between different assets, which is crucial for: Portfolio diversification Risk management Pairs trading strategies Hedging positions Market analysis Why This Script is Special This script goes beyond simple correlation calculations by providing: Two different correlation methods (Pearson and Spearman) Statistical significance testing to ensure results are meaningful Rolling correlation analysis to track how relationships change over time Visual representation for easy interpretation Comprehensive statistics table with detailed metrics Deep Dive into the Script's Components 1. Input Parameters Explained- Symbol Selection: This allows you to select the second asset to compare with the chart's primary asset Default is Apple (NASDAQ:AAPL), but you can change this to any symbol Example: If you're viewing a Bitcoin chart, you might set this to "NASDAQ:TSLA" to see if Bitcoin and Tesla are correlated Correlation Window (60): This is the number of periods used to calculate the main correlation Larger values (e.g., 100-500) provide more stable, long-term correlation measures Smaller values (e.g., 10-50) are more responsive to recent price movements 60 is a good balance for most daily charts (about 3 months of trading days) Rolling Correlation Window (20): A shorter window to detect recent changes in correlation This helps identify when the relationship between assets is strengthening or weakening Default of 20 is roughly one month of trading days Return Type: This determines how price changes are calculated Simple Returns: (Today's Price - Yesterday's Price) / Yesterday's Price Easy to understand: "The asset went up 2% today" Log Returns: Natural logarithm of (Today's Price / Yesterday's Price) More mathematically elegant for statistical analysis Better for time-additive properties (returns over multiple periods) Less sensitive to extreme values. Confidence Level (95%): This determines how certain we want to be about our results 95% confidence means we accept a 5% chance of being wrong (false positive) Higher confidence (e.g., 99%) makes the test more strict Lower confidence (e.g., 90%) makes the test more lenient 95% is the standard in most scientific research Show Statistical Significance: When enabled, the script will test if the correlation is statistically significant or just due to random chance. Display options control what you see on the chart: Show Pearson/Spearman/Rolling Correlation: Toggle each correlation type on/off Show Scatter Plot: Displays a scatter plot of returns (limited to recent points to avoid performance issues) Show Statistical Tests: Enables the detailed statistics table Table Text Size: Adjusts the size of text in the statistics table 2.Functions explained- calcReturns(): This function calculates price returns based on your selected method: Log Returns: Formula: ln(Price_t / Price_t-1) Example: If a stock goes from $100 to $101, the log return is ln(101/100) = ln(1.01) ≈ 0.00995 or 0.995% Benefits: More symmetric, time-additive, and better for statistical modeling Simple Returns: Formula: (Price_t - Price_t-1) / Price_t-1 Example: If a stock goes from $100 to $101, the simple return is (101-100)/100 = 0.01 or 1% Benefits: More intuitive and easier to understand rankArray(): This function calculates the rank of each value in an array, which is used for Spearman correlation: How ranking works: The smallest value gets rank 1 The second smallest gets rank 2, and so on For ties (equal values), they get the average of their ranks Example: For values Sorted: Ranks: (the two 2s tie for ranks 1 and 2, so they both get 1.5) Why this matters: Spearman correlation uses ranks instead of actual values, making it less sensitive to outliers and non-linear relationships. pearsonCorr(): This function calculates the Pearson correlation coefficient: Mathematical Formula: r = (nΣxy - ΣxΣy) / √ Where x and y are the two variables, and n is the sample size What it measures: The strength and direction of the linear relationship between two variables Values range from -1 (perfect negative linear relationship) to +1 (perfect positive linear relationship) 0 indicates no linear relationship Example: If two stocks have a Pearson correlation of 0.8, they have a strong positive linear relationship When one stock goes up, the other tends to go up in a fairly consistent proportion spearmanCorr(): This function calculates the Spearman rank correlation: How it works: Convert each value in both datasets to its rank Calculate the Pearson correlation on the ranks instead of the original values What it measures: The strength and direction of the monotonic relationship between two variables A monotonic relationship is one where as one variable increases, the other either consistently increases or decreases It doesn't require the relationship to be linear When to use it instead of Pearson: When the relationship is monotonic but not linear When there are significant outliers in the data When the data is ordinal (ranked) rather than interval/ratio Example: If two stocks have a Spearman correlation of 0.7, they have a strong positive monotonic relationship When one stock goes up, the other tends to go up, but not necessarily in a straight-line relationship tStatistic(): This function calculates the t-statistic for correlation: Mathematical Formula: t = r × √((n-2)/(1-r²)) Where r is the correlation coefficient and n is the sample size What it measures: How many standard errors the correlation is away from zero Used to test the null hypothesis that the true correlation is zero Interpretation: Larger absolute t-values indicate stronger evidence against the null hypothesis Generally, a t-value greater than 2 (in absolute terms) is considered statistically significant at the 95% confidence level criticalT() and pValue(): These functions provide approximations for statistical significance testing: criticalT(): Returns the critical t-value for a given degrees of freedom (df) and significance level The critical value is the threshold that the t-statistic must exceed to be considered statistically significant Uses approximations since Pine Script doesn't have built-in statistical distribution functions pValue(): Estimates the p-value for a given t-statistic and degrees of freedom The p-value is the probability of observing a correlation as strong as the one calculated, assuming the true correlation is zero Smaller p-values indicate stronger evidence against the null hypothesis Standard interpretation: p < 0.01: Very strong evidence (marked with **) p < 0.05: Strong evidence (marked with *) p ≥ 0.05: Weak evidence, not statistically significant stdev(): This function calculates the standard deviation of a dataset: Mathematical Formula: σ = √(Σ(x-μ)²/(n-1)) Where x is each value, μ is the mean, and n is the sample size What it measures: The amount of variation or dispersion in a set of values A low standard deviation indicates that the values tend to be close to the mean A high standard deviation indicates that the values are spread out over a wider range Why it matters for correlation: Standard deviation is used in calculating the correlation coefficient It also provides information about the volatility of each asset's returns Comparing standard deviations helps understand the relative riskiness of the two assets. 3.Getting Price Data- price1: The closing price of the primary asset (the chart you're viewing) price2: The closing price of the secondary asset (the one you selected in the input parameters) Returns are used instead of raw prices because: Returns are typically stationary (mean and variance stay constant over time) Returns normalize for price levels, allowing comparison between assets of different values Returns represent what investors actually care about: percentage changes in value 4.Information Table- Creates a table to display statistics Only shows on the last bar to avoid performance issues Positioned in the top right of the chart Has 2 columns and 15 rows Populating the Table The script then populates the table with various statistics: Header Row: "Metric" and "Value" Sample Information: Sample size and return type Pearson Correlation: Value, t-statistic, p-value, and significance Spearman Correlation: Value, t-statistic, p-value, and significance Rolling Correlation: Current value Standard Deviations: For both assets Interpretation: Text description of the correlation strength The table uses color coding to highlight important information: Green for significant positive results Red for significant negative results Yellow for borderline significance Color-coded headers for each section => Practical Applications and Interpretation How to Interpret the Results Correlation Strength 0.0 to 0.3 (or 0.0 to -0.3): Weak or no correlation The assets move mostly independently of each other Good for diversification purposes 0.3 to 0.7 (or -0.3 to -0.7): Moderate correlation The assets show some tendency to move together (or in opposite directions) May be useful for certain trading strategies but not extremely reliable 0.7 to 1.0 (or -0.7 to -1.0): Strong correlation The assets show a strong tendency to move together (or in opposite directions) Can be useful for pairs trading, hedging, or as a market indicator Statistical Significance p < 0.01: Very strong evidence that the correlation is real Marked with ** in the table Very unlikely to be due to random chance p < 0.05: Strong evidence that the correlation is real Marked with * in the table Unlikely to be due to random chance p ≥ 0.05: Weak evidence that the correlation is real Not marked in the table Could easily be due to random chance Rolling Correlation The rolling correlation shows how the relationship between assets changes over time If the rolling correlation is much different from the long-term correlation, it suggests the relationship is changing This can indicate: A shift in market regime Changing fundamentals of one or both assets Temporary market dislocations that might present trading opportunities Trading Applications 1. Portfolio Diversification Goal: Reduce overall portfolio risk by combining assets that don't move together Strategy: Look for assets with low or negative correlations Example: If you hold tech stocks, you might add some utilities or bonds that have low correlation with tech 2. Pairs Trading Goal: Profit from the relative price movements of two correlated assets Strategy: Find two assets with strong historical correlation When their prices diverge (one goes up while the other goes down) Buy the underperforming asset and short the outperforming asset Close the positions when they converge back to their normal relationship Example: If Coca-Cola and Pepsi are highly correlated but Coca-Cola drops while Pepsi rises, you might buy Coca-Cola and short Pepsi 3. Hedging Goal: Reduce risk by taking an offsetting position in a negatively correlated asset Strategy: Find assets that tend to move in opposite directions Example: If you hold a portfolio of stocks, you might buy some gold or government bonds that tend to rise when stocks fall 4. Market Analysis Goal: Understand market dynamics and interrelationships Strategy: Analyze correlations between different sectors or asset classes Example: If tech stocks and semiconductor stocks are highly correlated, movements in one might predict movements in the other If the correlation between stocks and bonds changes, it might signal a shift in market expectations 5. Risk Management Goal: Understand and manage portfolio risk Strategy: Monitor correlations to identify when diversification benefits might be breaking down Example: During market crises, many assets that normally have low correlations can become highly correlated (correlation convergence), reducing diversification benefits Advanced Interpretation and Caveats Correlation vs. Causation Important Note: Correlation does not imply causation Example: Ice cream sales and drowning incidents are correlated (both increase in summer), but one doesn't cause the other Implication: Just because two assets move together doesn't mean one causes the other to move Solution: Look for fundamental economic reasons why assets might be correlated Non-Stationary Correlations Problem: Correlations between assets can change over time Causes: Changing market conditions Shifts in monetary policy Structural changes in the economy Changes in the underlying businesses Solution: Use rolling correlations to monitor how relationships change over time Outliers and Extreme Events Problem: Extreme market events can distort correlation measurements Example: During a market crash, many assets may move in the same direction regardless of their normal relationship Solution: Use Spearman correlation, which is less sensitive to outliers Be cautious when interpreting correlations during extreme market conditions Sample Size Considerations Problem: Small sample sizes can produce unreliable correlation estimates Rule of Thumb: Use at least 30 data points for a rough estimate, 60+ for more reliable results Solution: Use the default correlation length of 60 or higher Be skeptical of correlations calculated with small samples Timeframe Considerations Problem: Correlations can vary across different timeframes Example: Two assets might be positively correlated on a daily basis but negatively correlated on a weekly basis Solution: Test correlations on multiple timeframes Use the timeframe that matches your trading horizon Look-Ahead Bias Problem: Using information that wouldn't have been available at the time of trading Example: Calculating correlation using future data Solution: This script avoids look-ahead bias by using only historical data Best Practices for Using This Script 1. Appropriate Parameter Selection Correlation Window: For short-term trading: 20-50 periods For medium-term analysis: 50-100 periods For long-term analysis: 100-500 periods Rolling Window: Should be shorter than the main correlation window Typically 1/3 to 1/2 of the main window Return Type: For most applications: Log Returns (better statistical properties) For simplicity: Simple Returns (easier to interpret) 2. Validation and Testing Out-of-Sample Testing: Calculate correlations on one time period Test if they hold in a different time period Multiple Timeframes: Check if correlations are consistent across different timeframes Economic Rationale: Ensure there's a logical reason why assets should be correlated 3. Monitoring and Maintenance Regular Review: Correlations can change, so review them regularly Alerts: Set up alerts for significant correlation changes Documentation: Keep notes on why certain assets are correlated and what might change that relationship 4. Integration with Other Analysis Fundamental Analysis: Combine correlation analysis with fundamental factors Technical Analysis: Use correlation analysis alongside technical indicators Market Context: Consider how market conditions might affect correlations Conclusion This Scientific Correlation Testing Framework provides a comprehensive tool for analyzing relationships between financial assets. By offering both Pearson and Spearman correlation methods, statistical significance testing, and rolling correlation analysis, it goes beyond simple correlation measures to provide deeper insights. For beginners, this script might seem complex, but it's built on fundamental statistical concepts that become clearer with use. Start with the default settings and focus on interpreting the main correlation lines and the statistics table. As you become more comfortable, you can adjust the parameters and explore more advanced applications. Remember that correlation analysis is just one tool in a trader's toolkit. It should be used in conjunction with other forms of analysis and with a clear understanding of its limitations. When used properly, it can provide valuable insights for portfolio construction, risk management, and pair trading strategy development.
Penunjuk Pine Script®
oleh kingshukghosh71
Advanced Time TechniqueAdvanced Time Technique (ATT) The Advanced Time Technique (ATT) identifies mathematically significant price levels based on candle count sequences within higher timeframes. The indicator tracks specific numerical patterns to project potential reversal zones. Calculation Methodology: - Monitors candle cycles in user-selected higher timeframes (1H, 2H, 3H) - Identifies key candle counts: 3, 11, 17, 29, 41, 47, 53, 59 - Projects these counts as visual markers on the current chart - Uses pure price action without lagging indicators Key Features: - HTF Candle Boxes: Displays higher timeframe candle ranges as colored boxes - ATT Circles: Places circular markers at specified candle counts - Multi-timeframe Analysis: References 1-hour, 2-hour, or 3-hour timeframes - Prediction Labels: Shows upcoming ATT levels within user-defined range - Historical Display: Optional viewing of past ATT markers Visual Components: - Colored boxes representing HTF candle ranges (bullish/bearish) - Circle markers positioned above/below bars based on candle color - Optional numerical display on ATT circles - Customizable colors and transparency settings Trading Applications: - Identifies potential reversal zones at mathematically significant intervals - Highlights liquidity concentration areas - Useful for intraday and scalp trading strategies - Complements price action and market structure analysis The indicator works by counting candles within the selected higher timeframe and marking specific numerical sequences where price reactions commonly occur.
Penunjuk Pine Script®
oleh TradeSymmetry
1
ka66: Symbol InformationThis shows a table of all current (Pine v6) `syminfo.` values. Please note this is primarily of use to Pine Developers, or the curious trader. There are a few of these around on TradingView, but many seem to focus on the use case they have. This script just dumps all values, in alphabetical order of properties. You can use this to inspect the details of the symbol, which in turn, can be fed into various scripts covering tasks such as: Position Sizing calculation (which requires things like tick, pointvalue, and currency details) Recommendation engines (which use the recommendation_* properties) Fundamentals on stocks (which may use share count information, and possibly employee information) Note that not all table values are populated, as they depend on the instrument being introspected. For example, a share ticker will have some different details to a Forex pair. The `NaN` values (the "Not A Number" special value in programming parlance) are not a bug, they are simply Pine reporting that no value is set for it. I have opted to dump out values as-is as the focus is developers. My motivation to create it was to write a position sizing tool. Additionally, the output of this script is cleanly formatted, with monospace fonts and conventional alignment for tables/forms with key and values. It also allows customising the table position. Ideally this feature is made part of the default TradingView customisation, but at this time, it is not, and tables don't auto-adjust their positions.
Penunjuk Pine Script®
oleh ka66
Smart Money Volume Tools | Lyro RSSmart Money Volume Tools | Lyro RS Overview The Smart Money Volume Tools (SMVT) is a multi-dimensional volume-based analysis suite designed to visualize the interplay between price action, moving averages, and smart money behavior. By integrating dynamic moving averages, volume normalization, and multi-timeframe intelligence, SMVT helps traders identify when institutional (smart money) or retail participants are influencing price movements — all in a single, adaptive display. Unlike traditional oscillators or trend tools, SMVT dynamically adjusts its sensitivity and thresholds based on volume z-scores and normalized momentum, revealing true intent behind price shifts rather than reacting to them. 🔹 Key Features 4 Core Analytical Modes: Trail Mode – Identifies directional bias using dynamic volume-weighted trails based on adaptive ATR multipliers. Volume Mode – Displays normalized volume strength vs. price trend, highlighting volume-driven expansions. Smart Money Volume Mode – Detects institutional buying/selling spikes from lower timeframes using volume z-score outliers. Retail Money Volume Mode – Contrasts retail-driven impulses to visualize crowd behavior and exhaustion points. Dynamic Volume Normalization: Converts volume impulses into a 0–100 range using a sigmoid function for smoother interpretation. Multi-Timeframe Intelligence: Automatically reads lower timeframe volume data to distinguish smart vs. retail activity. Adaptive Color Systems: Multiple palette modes ( Classic , Mystic , Accented , Royal ) or full custom color control. Signal Table Overlay: Built-in real-time module summary showing status for Trail , Volume , Smart Money , and Retail Money — right on your chart. 🔹 How It Works Volume Strength Calculation: Calculates relative volume strength using a moving average baseline, then normalizes the result via a sigmoid function — mapping activity into a clean 0–100 range. Smart Money Detection: Scans lower timeframe data for extreme volume z-scores ( z > 2 ) to pinpoint institutional accumulation or distribution zones. Trail Logic: Uses adaptive upper and lower trails based on ATR and volume intensity to track volatility-adjusted trend direction. Color Logic: Trail, candle, and fill colors change dynamically according to the active signal type and selected palette — making directional bias instantly visible. 🔹 Practical Use Swing Confirmation (Trail Mode): Confirms sustained bullish or bearish momentum supported by volume, ideal for trailing positions and managing exits. Volume Expansion (Volume Mode): Highlights key moments when institutional liquidity pushes price before visible breakout confirmation. Smart vs. Retail Divergence: Identify conflicts between retail activity and smart money to detect exhaustion or reversal points early. Table Overlay Utility: Instantly see all active signals across modules in one compact, on-chart interface. 🔹 Customization Custom color palettes or manual bullish/bearish color selection. Adjustable EMA lengths and Volume SMA period . Selectable lower timeframe source for Smart Money analysis. Flexible table position & size controls — choose between Top, Middle, Bottom and Tiny to Huge. Switch freely between Trail , Volume , Smart Money , and Retail Money modes. Credits Thank you to @AlgoAlpha for the smart money and retail activity source code. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Penunjuk Pine Script®
oleh LyroRS
4
The Machine – Session Map PRO ## 🧭 **The Machine – Session Map PRO (Fixed)** **By Abdou // “By order of the chaos, I present THE MACHINE.”** --- ### 🕒 **Overview** The Machine – Session Map PRO is a complete **session visualization system** that maps out the **Asia, London, and New York** sessions directly on your chart — showing their highs, lows, ranges, and overlap zones in real time. It’s built to help traders understand **accumulation, manipulation, and distribution** phases within each global market session — giving you structure and bias clarity at a glance. Designed with performance, precision, and customization in mind. --- ### ⚙️ **Core Features** ✅ **Dynamic Session Mapping** * Automatically highlights Asia, London, and New York sessions with customizable colors and time zones. * Real-time updating boxes show live range expansion as price develops. * Automatic handling of session wrap across midnight and timezone offsets. ✅ **Previous Session Highs & Lows** * Plots and extends previous session highs/lows until broken. * Perfect for identifying liquidity grabs and reaction zones. ✅ **Session Overlaps** * Visually shades overlap zones between London and New York to highlight high-volume volatility windows. ✅ **VWAP Integration** * Real-time VWAP for each session (Asia / London / NY). * Perfect for intraday mean reversion and premium/discount logic. ✅ **Session Bias Detection** * Calculates session-to-session bias (Bullish / Bearish / Neutral) based on structural shifts in highs and lows. ✅ **Dashboard Panel** A compact dashboard displaying: * Session bias * Current range (pips) * Average range over past *n* sessions * Volume rank percentage * VWAP levels Fully positionable (top-left, top-right, bottom-left, bottom-right) with scalable font sizes. ✅ **Smart Transparency & Styling** * Auto adjusts zone opacity depending on chart timeframe. * Clean zone borders and labeling options for a polished, minimal look. --- ### 📊 **Category** > Market Sessions • Support & Resistance • Statistical Tools --- ### 💡 **Use Case** Perfect for: * Intraday traders analyzing session-based price behavior * Smart Money / ICT-style traders tracking liquidity cycles * Anyone wanting a clean and dynamic visual of global trading sessions It pairs seamlessly with the rest of **The Machine** suite: * **The Machine – Smart Zones PRO** * **The Machine – Smart Dashboard** --- ### ⚠️ **Disclaimer** This script is for educational and analytical purposes only. It does not provide financial advice or guarantee performance. Always confirm with your own analysis. --- ### 🧩 **Summary** **The Machine – Session Map PRO** delivers a complete, real-time map of global sessions — structured, accurate, and beautifully visualized. A must-have for traders who want to **see the market rhythm, not just price.** ---
Penunjuk Pine Script®
oleh abdelhaksaighi262
Price Above PDH - Complete Multi-Confirmation Alert🎯 COMPLETE FEATURES: $jmoskyhigh cashapp 1. Comprehensive Input Settings ✅ All visual customization options ✅ Color pickers for every element ✅ Toggle for each confirmation requirement ✅ Adjustable thresholds and timeframes ✅ Multiple alert options per day ✅ Customizable panel position 2. Full Confirmation System ✅ Volume: Must exceed customizable multiplier of average ✅ Moving Averages: Fast MA must be above Slow MA ✅ VWAP: Price must be above VWAP ✅ All confirmations must remain valid for ENTIRE hold period ✅ Any confirmation failure = Complete reset
Penunjuk Pine Script®
oleh jmslimus
Trade Journal ProTrade Journal Pro A powerful, visual trading journal that enforces discipline with real-time feedback, reflective prompts, and strict risk limits — all in one clean overlay box. Jesus is King — trade with wisdom, not emotion. FEATURES • AUTO-CALCULATED DAILY TRADES → `Trades Today = Wins + Losses + Breakevens` (no manual input needed) • 4 ENFORCED RISK LIMITS 1. Max Trades Per Day 2. Max Risk Rule Violations 3. Max Consecutive Losses (tilt protection) 4. Max Total Losses Allowed (lifetime/session cap) • SMART VISUAL FEEDBACK • GREEN BOX = You hit a limit exactly → “WELL DONE!” • RED BOX = Breached any limit → “STOP & REFLECT” + ALERT • Dark = Normal (under all limits) • REFLECTIVE PROMPTS (Customizable) 1. Why this setup? 2. What was my emotional state? 3. Did I follow my plan? • LIVE ADVICE ENGINE → Win: “Great execution! Log what worked.” → Loss: “Loss = tuition. What did you learn?” → Breakeven: “Review entry/exit precision.” • DAILY REMINDER → Always visible: “Trade the plan, not the emotion.” • FULLY CUSTOMIZABLE • Font size (Tiny → Huge) • Box position (bars to the right) • Toggle: Metrics / Prompts / Advice • Custom colors, messages, limits • ALERTS • Breach any limit → Immediate alert • Hit limit exactly → Discipline win notification HOW TO USE 1. After each closed trade: → Update Wins, Losses, or Breakevens → Update Consecutive Losses (reset to 0 on win/BE) → Increment Risk Violations if you broke a rule 2. Answer the 3 prompts in your journal 3. Let the box guide your behavior: • GREEN = Celebrate discipline • RED = STOP TRADING. Reflect. Reset. Perfect for day traders, swing traders, or anyone building a professional edge through journaling and risk control. No strategy entries. No repainting. Pure accountability. “The market is a mirror. This journal is the polish.” Developed with integrity. Built to protect your capital — and your peace.
Penunjuk Pine Script®
oleh CreativeAdvance
Sunmool's NY Lunch Model BacktestingICT NY Lunch Model Backtesting (12:00–13:00 NY) 🗽🍔 This research indicator tests an ICT narrative using the New York lunch window (12:00–13:00 America/New_York). It records that hour’s high/low and measures, during the post-lunch session (default 13:00–16:00), how often: ⬆️ If the afternoon trends up, the Lunch Low gets swept first. ⬇️ If the afternoon trends down, the Lunch High gets swept first. It reports these as conditional probabilities, not trade signals. 📈 👀 What it shows 🟦 Lunch Range box (toggle): high/low from 12:00–13:00 NY 🔻🔺 Sweep signals (bar-anchored) Low sweep: triangle below bar + optional “L” High sweep: triangle above bar + optional “H” 🧱 Optional small box wrapping the swept candle 📊 Stats table (top-right) P(L-swept | Up) — % of Up-days where Lunch Low was swept P(H-swept | Down) — % of Down-days where Lunch High was swept 🔁 Contradictions + sample sizes (Up-days / Down-days) 🎯 Direction logic (Up/Down) Anchor: 13:00 open (pmOpen) ⏰ Threshold: ATR × multiple or % from 13:00 Close ≥ pmOpen + threshold → Up-day Close ≤ pmOpen − threshold → Down-day Tiny moves under the threshold are ignored to reduce noise 🧹 ⚙️ Inputs 🌐 Timezone: America/New_York (DST handled) 🍽️ Lunch window: 1200–1300 🕓 Post-lunch window: default 1300–1600 (try 17:00/20:00 for sensitivity) 📐 Trend threshold: ATR / Percent (with length/multiple or % level) 📅 Weekdays-only toggle (FX/Equities style) 👁️ Display toggles: Lunch box / sweep arrows / sweep text / sweep candle box / stats table 🔔 TF hint when chart TF > 15m 🧭 How to use Use 5–15m charts for accurate lunch range capture. Scroll ~1 year for meaningful samples. Run sensitivity checks: vary ATR/% thresholds and the post-lunch end time. For crypto, compare with vs without weekends. 🚀 🧠 Reading the results High P(L-swept | Up) with a solid Up-day count ⇒ on up afternoons, lunch low is often swept. High P(H-swept | Down) ⇒ on down afternoons, lunch high is often swept. Lower Contradictions = cleaner tendency. Remember: this is a probabilistic tendency, not a rule. 🎲 📝 Notes & limits All markers (arrows, text, sweep boxes) are bar-anchored; the lunch range box is a research overlay you can toggle. Real-time vs historical bar building can differ—interpret on bar close. 🔒
Penunjuk Pine Script®
oleh sunmool_
GLD Levels on GC - WizardCharts## GLD Levels on GC - Advanced Gold Trading Indicator The GLD Levels indicator is a sophisticated trading tool designed specifically for gold traders who want to visualize key psychological price levels from the GLD ETF directly on their Gold futures (GC) charts. This indicator automatically scales GLD price levels to match Gold futures pricing, providing crucial support and resistance levels that institutional and retail traders watch closely. ### Key Features - Real-Time GLD Price Integration : Pulls live GLD ETF prices and displays them as scaled levels on GC charts - Dual Level System : Shows both whole number levels (e.g., $180, $181, $182) and half levels (e.g., $180.5, $181.5, $182.5) - Smart Instrument Detection : Automatically works on GLD, GC (Gold futures), and MGC (Micro Gold futures) with proper scaling - Customizable Colors : Full control over line and label colors for both whole number and half levels - Historical Extension : Lines extend 100 bars back and 50 bars forward for comprehensive chart analysis - Dynamic Level Selection : Always shows the 10 closest levels (5 above, 5 below) to current price - Clean Label System : Optional price labels with "GLD: $XXX" format for easy identification ### How It Works The indicator fetches real-time GLD ETF prices and calculates the nearest whole number and half-increment levels. When used on Gold futures charts (GC/MGC), it automatically applies the appropriate conversion ratio to scale GLD levels to futures pricing. This provides traders with the psychological levels that matter most in the gold market. ### Customization Options - Show GLD Price Label : Toggle the current GLD price display - Show Whole Number Levels : Enable/disable whole dollar level lines - Show Half Levels : Enable/disable $0.50 increment levels - Whole Number Level Color : Customize the color for whole dollar levels (default: white) - Half Level Color : Customize the color for half-dollar levels (default: gray with transparency) ### Perfect For - Gold Futures Traders : GC and MGC contract traders who need GLD-based support/resistance levels - Multi-Timeframe Analysis : Works across all timeframes from scalping to swing trading - Institutional Level Tracking : Monitor the same levels that large funds and ETF traders watch - Risk Management : Use levels for stop-loss placement and profit target identification - Market Structure Analysis : Identify key psychological levels that often act as magnets for price action ### Trading Applications - Support & Resistance : Use GLD levels as dynamic support and resistance zones - Entry Points : Look for bounces or breaks at key whole number and half levels - Profit Targets : Scale out positions at significant GLD psychological levels - Stop Loss Placement : Position stops beyond key levels for better risk management - Breakout Trading : Monitor for decisive breaks above/below major GLD levels ### Why GLD Levels Matter for Gold Futures GLD is the world's largest gold ETF with massive institutional participation. The psychological levels in GLD often translate directly to Gold futures markets due to arbitrage relationships and cross-market trading. This indicator bridges that gap by showing you exactly where these critical levels sit on your Gold futures charts. Get this indicator FREE by joining our Discord community! We share exclusive trading tools, market insights, and provide ongoing support for all our indicators. Simply join our Discord server and request access to the GLD Levels indicator - no payment required, just an active community member looking to improve their trading edge. discord.gg Join our Discord today and start trading with institutional-level insights! - discord.gg
Penunjuk Pine Script®
oleh WizardCharts_com
Gold THB per Baht (XAU -> Thai baht gold)What it does This indicator converts international gold prices (XAU) into Thai retail “baht gold” price (THB per 1 baht gold weight) in real time. It multiplies the XAU price (per troy ounce) by USD/THB and converts ounces to Thai baht-weight using the exact gram ratios. Formula THB per baht gold = XAU (USD/oz) × USDTHB × (15.244 / 31.1035) × (1 + Adjustment%) + FlatFeeTHB 1 troy ounce = 31.1035 g 1 Thai baht gold = 15.244 g Conversion factor ≈ 0.490103
Penunjuk Pine Script®
oleh golfcu
Institutional Confluence Suite [SurgeGuru]Executive Summary This is not an indicator; it is a Predictive Confluence Engine. It represents a quantum leap in technical analysis by synthesizing four distinct analytical dimensions—Fibonacci mathematics, temporal market energy, volume dynamics, and harmonic resonance—into a single, predictive framework. Its specialty lies in identifying High-Probability Confluence Zones where multiple independent factors align to signal potent market turning points. Core Differentiators Adaptive Fibonacci-Volume Synthesis: Dynamic Support/Resistance: Transforms static Fibonacci levels into dynamic, volume-weighted zones. The script calculates a Volume Strength Score (0-100) for each key Fib level (0.236, 0.382, 0.618, 0.786). Intelligent Visualization: Line thickness and style adapt in real-time: Thick/Solid for high-volume, high-confidence levels, and Thin/Dotted for low-volume, weak levels. Real-Time Confirmation: Provides immediate ✓/✗ signals when price touches a Fib level, filtered by live volume momentum, distinguishing between high-conviction rejections and weak bounces. Temporal Power Zone Analysis (Power Hour): Institutional-Grade Confluence Detection: The system's masterstroke is identifying when a Power Hour Fibonacci level aligns with the Primary Trend Fibonacci level. These rare convergences are marked with a lightning bolt (⚡) and represent a consensus across timeframes and participant groups. Structural Context: Power Hour zones provide the macro-structure, framing the market's most recent high-volatility battle. The subsequent price action within and around this zone reveals the dominant force's next intended direction. Solfeggio Harmonic Resonance (Proprietary Beta): Predictive Convergence: Identifies the rarest and most powerful market condition: a Harmonic Convergence Zone. This occurs when a Fibonacci level, a high-volume node, and a Solfeggio frequency ratio all align within a precise tolerance. Market "Tuning Fork": The system acts as a resonance detector. A cyan pulse marker (●) signals when price touches a harmonic zone with expanding volume—like striking a tuning fork—indicating a high-probability bounce or reversal. Unified Trend Framework: Granular Trend Control: Offers 12 levels of trend sensitivity, from "Extreme" (0.5) for scalpers to "Maximum" (7.0) for position traders, ensuring the analysis is tailored to any trading style or timeframe. Volume-Fueled Trends: The Angled Volume Profile visually demonstrates whether a trend is pushing (volume dominant on upper bars), breaking (volume dominant on lower bars), or healthy and sustained (balanced volume distribution). Synthesis: The Confluence Engine The true genius of this system is how these dimensions interact: The Power Hour sets the tactical battlefield. The Fibonacci-Volume analysis identifies the key defensive and offensive lines within that battlefield. The Solfeggio Harmonics act as a sonar, pinging at the most potent points of alignment. The Unified Trend Framework provides the strategic context and confirms the overall campaign's direction. Conclusion This script moves beyond analysis into the realm of market forecasting. It doesn't just show you what is happening; it predicts where the market is most likely to respect structure by identifying zones where mathematics, market energy, time, and resonance converge. This is institutional-grade intelligence, delivering a definitive and actionable edge by answering the critical question: "Where is the highest probability for the next significant move?" Overall Architecture The script operates as a multi-layered event detector. Instead of calculating continuous oscillators, it identifies specific market events (like a new swing high) and then performs complex logic to draw the appropriate structures (like an Order Block). It maintains internal arrays (lists) of these events and their corresponding drawings, constantly updating and cleaning them as new price data arrives. 1. Market Structure & Swing Detection This is the foundational layer that identifies the market's basic rhythm. How it Works: Swing Point Identification: The core function queryPatterns(lastPrice, midPrice, prevPrice, isSwingHigh) looks for a three-bar pattern. For a swing high, it checks if the middle bar is higher than both its immediate neighbor bars. For a swing low, it checks if the middle bar is lower. Multi-Timeframe Stack: The script creates three independent analyzers for Short-Term (stHigh, stLow), Intermediate-Term (itHigh, itLow), and Long-Term (ltHigh, ltLow) structures. Short-Term: Reacts directly to the 3-bar pattern on the raw price series. Intermediate-Term: Its input is the output of the Short-Term detector. It only records a new swing point when the Short-Term system identifies one. This creates a higher-quality, filtered set of swings. Long-Term: Likewise, it builds upon the Intermediate-Term swings. This hierarchical filtering ensures each timeframe captures genuinely significant structural points. Structure Breaks (MSS/BOS): The renderStructures() method is the key. It waits for price to "cross" a previously identified swing point. If price crosses above a prior swing high, it draws a bullish line and labels it a Break of Structure (BOS), indicating renewed bullish momentum. If price crosses below a prior swing low, it draws a bearish line and labels it a Change of Character (CHoCH) or Market Structure Shift (MSS), indicating a potential trend reversal. 2. Order Block & Breaker Block Detection (LuxAlgo Logic) This layer identifies areas where "smart money" likely placed significant orders. How it Works: Fractal Detection: It uses a fractalHigh and fractalLow system (arrays of recent swing points) to identify the most significant pivot highs and lows, filtered by the user-selected term. Block Creation - The "Cause": When price closes beyond a fractal high/low, it triggers a lookback period. For a Bullish Order Block (after breaking a high): It looks back from the break point to the fractal and finds the bar with the lowest low within that range. The high and low (or open/close if body is selected) of that bar define the Order Block. The logic is that this was the last consolidation area before the bullish breakout. Breaker Block - The "Effect": The script then monitors these Order Blocks. If price re-enters a Bullish Order Block and breaks below its low, that block is "breached." It is then re-classified as a Breaker Block and visually changes (e.g., color, extended lines). This indicates the failure of that buy-side level, which now becomes resistance. 3. Liquidity Analysis (Buyside/Sellside & Voids) This layer maps out the market's "why" - the liquidity pools that price is drawn to. Buyside/Sellside Liquidity: Pivot-Based Aggregation: It uses the multi-timeframe swing points (topLQ, btmLQ) as potential liquidity targets. Zone Confirmation: It doesn't just use a single swing point. It checks a historical array of all prior pivots (aZZ). If it finds several pivots clustered within a narrow band (defined by atr / liqMar), it marks the entire zone as a Liquidity Pool. Visualization: It draws a semi-transparent box around this zone. A "Buyside Liquidity" zone is below price (where sell-stops are hunted), and a "Sellside Liquidity" zone is above price (where buy-stops are hunted). Liquidity Voids: Gap Detection: This is a simpler, more geometric concept. It looks for large gaps between candles that exceed a threshold (based on atr200). Visual Representation: When such a gap is found (e.g., the current low is significantly above the high of two bars ago), it fills the space with a series of small, colored boxes. This creates a clear visual "void" area, indicating a price range with little trading activity that will likely be traversed quickly. 4. Enhanced Liquidity Detection (BigBeluga Logic) This is a separate, volume-informed system for spotting immediate liquidity. How it Works: Volume Spike Context: It calculates a normalized volume value (norm_vol) by comparing current volume to a high percentile of recent volume. This identifies unusually high volume activity. Price Rejection: It looks for simple price patterns: a bar that makes a new high (or low) and is immediately rejected (the next bar does not continue in that direction). Dynamic Box Creation: When these two conditions align (high volume + price rejection), it draws a box extending from that high/low. The opacity and size of the box are directly tied to the strength of the volume spike. A massive volume spike creates a very prominent box, signaling a critical liquidity level where a significant battle between buyers and sellers occurred. Synthesis: The "Behind the Scenes" Workflow On every new bar, the script performs this orchestrated sequence: Update & Detect: It updates all its internal swing point arrays and checks for new Market Structure events. Check Conditions: It runs the Order Block logic to see if any fractal levels have been breached, creating new blocks. Monitor & Modify: It checks all existing Order Blocks to see if any have been "breached," converting them to Breaker Blocks. Map Liquidity: It updates the liquidity pools based on the latest swings and checks for new liquidity voids based on recent price gaps. Volume Analysis: The enhanced system checks for volume-based liquidity zones. Garbage Collection: It constantly cleans up old drawings (lines, boxes, labels) that are no longer relevant to keep the chart performant and uncluttered. In essence, the code acts as a state machine that tracks the market's evolution through its structural breaks, order placements, and liquidity interactions, translating this complex state into a clear, visual narrative for the trader. Credits: LuxAlgo, PrimeChart, Trendoscope
Penunjuk Pine Script®
oleh SurgeGuru
True Previous Day/Week High & LowTrue Previous Day/Week High & Low What makes this indicator unique: Unlike most previous day high/low indicators that only track SESSION data (e.g., 6:00 PM - 5:00 PM for futures), this indicator calculates the TRUE calendar day high and low from MIDNIGHT TO MIDNIGHT (00:00 - 23:59) in New York time. Why this matters: - Session-based indicators miss crucial price action that occurs during overnight hours - True midnight-to-midnight calculation gives you the ACTUAL daily range - Essential for traders who need accurate previous day levels for support/resistance - Works perfectly on 24-hour markets like futures (NQ, ES, YM, etc.) Features: ✓ True calendar day high/low (00:00-23:59 NY time) ✓ Previous week high/low ✓ Customizable line colors, widths, and styles (solid, dashed, dotted) ✓ Optional labels with adjustable size, color, and spacing ✓ Values displayed on price scale ✓ Toggle individual levels on/off ✓ Optimized for 1-minute charts but works on all timeframes Perfect for: - Futures traders (NQ, ES, YM, RTY) - Day traders using previous day levels as key support/resistance - Swing traders tracking weekly ranges - Anyone who needs accurate 24-hour high/low levels Settings are clean and intuitive - just add to your chart and customize the appearance to match your setup!
Penunjuk Pine Script®
oleh sdahaghi
2
QQQ Levels on NQ - WizardCharts# QQQ Levels on NQ - Professional Support & Resistance Indicator ## 🎯 Overview Elevate your NASDAQ futures trading with precision-engineered QQQ support and resistance levels. This professional-grade indicator displays critical QQQ price levels directly on your NQ (E-mini NASDAQ-100) and MNQ (Micro E-mini NASDAQ-100) charts, providing institutional-quality analysis for retail traders. ## ⚡ Key Features ### 📊 Dual-Level System - Whole Number Levels : 10 closest round QQQ levels around current price - Half Levels : 0.5 increment levels for granular analysis - Smart Scaling : Automatically converts QQQ levels to NQ/MNQ prices ### 🎨 Professional Visualization - Clean Design : Minimalist lines that don't clutter your chart - Customizable Colors : Choose your own colors for whole and half levels - Historical Extension : Lines extend across your entire chart for context - Dynamic Labels : Real-time QQQ price display with clear level identification ### ⚙️ Intelligent Features - Auto-Detection : Works seamlessly on QQQ, NQ, and MNQ charts - Real-Time Updates : Levels adjust automatically as QQQ price moves - Performance Optimized : Efficient code that won't slow down your charts - Flexible Settings : Toggle levels on/off based on your trading style ## 🎯 Perfect For - NQ Futures Traders seeking QQQ correlation levels - MNQ Micro Futures traders needing precise entry/exit points - QQQ Options Traders analyzing support/resistance zones - Day Traders requiring quick visual reference points - Swing Traders identifying key technical levels ## 📈 How It Works The indicator fetches real-time QQQ prices and calculates the 10 closest whole number levels (e.g., 480, 481, 482) plus half levels (480.5, 481.5, 482.5) around the current price. When applied to NQ or MNQ charts, it automatically scales these levels to match futures pricing, giving you precise QQQ-correlated support and resistance zones. ## 🔧 Customization Options - QQQ Price Label : Toggle on/off - Whole Number Levels : Show/hide with custom colors - Half Levels : Show/hide with custom colors and transparency - Visual Styling : Personalize colors to match your chart theme ## 💡 Trading Applications - Support/Resistance : Identify key psychological levels - Entry/Exit Points : Use levels for precise trade execution - Risk Management : Set stops and targets at significant levels - Market Structure : Understand institutional price zones - Confluence Analysis : Combine with other technical indicators ## 🆓 FREE ACCESS - Discord Required - discord.gg This premium indicator is completely FREE but requires access through our free Discord community. ### How to Get Access: 1. 1. Join our Discord server using the link in our profile - discord.gg 2. 2. Verify your membership in the trading community 3. 3. Request indicator access in the designated channel 4. 4. Receive your personal copy with full source code ### Why Discord Access? - Community Support : Get help from experienced traders - Updates & Improvements : First access to new features - Trading Discussions : Share strategies and market insights - Educational Content : Learn advanced trading techniques - Network Building : Connect with like-minded traders ### Community Benefits: - ✅ Free Indicators : Access to our entire indicator library - ✅ Market Analysis : Daily QQQ/NQ market breakdowns - ✅ Trading Strategies : Proven setups using our indicators - ✅ Live Support : Real-time help during market hours - ✅ Educational Resources : Tutorials and trading guides
Penunjuk Pine Script®
oleh WizardCharts_com