Lorentzian Key Support and Resistance Level Detector [mishy]🧮 Lorentzian Key S/R Levels Detector
Advanced Support & Resistance Detection Using Mathematical Clustering
The Problem
Traditional S/R indicators fail because they're either subjective (manual lines), rigid (fixed pivots), or break when price spikes occur. Most importantly, they don't tell you where prices actually spend time, just where they touched briefly.
The Solution: Lorentzian Distance Clustering
This indicator introduces a novel approach by using Lorentzian distance instead of traditional Euclidean distance for clustering. This is groundbreaking for financial data analysis.
Data Points Clustering:
🔬 Why Euclidean Distance Fails in Trading
Traditional K-means uses Euclidean distance:
• Formula: distance = (price_A - price_B)²
• Problem: Squaring amplifies differences exponentially
• Real impact: One 5% price spike has 25x more influence than a 1% move
• Result: Clusters get pulled toward outliers, missing real support/resistance zones
Example scenario:
Prices: ← flash spike
Euclidean: Centroid gets dragged toward 150
Actual S/R zone: Around 100 (where prices actually trade)
⚡ Lorentzian Distance: The Game Changer
Our approach uses Lorentzian distance:
• Formula: distance = log(1 + (price_difference)² / σ²)
• Breakthrough: Logarithmic compression keeps outliers in check
• Real impact: Large moves still matter, but don't dominate
• Result: Clusters focus on where prices actually spend time
Same example with Lorentzian:
Prices: ← flash spike
Lorentzian: Centroid stays near 100 (real trading zone)
Outlier (150): Acknowledged but not dominant
🧠 Adaptive Intelligence
The σ parameter isn't fixed,it's calculated from market disturbance/entropy:
• High volatility: σ increases, making algorithm more tolerant of large moves
• Low volatility: σ decreases, making algorithm more sensitive to small changes
• Self-calibrating: Adapts to any instrument or market condition automatically
Why this matters: Traditional methods treat a 2% move the same whether it's in a calm or volatile market. Lorentzian adapts the sensitivity based on current market behavior.
🎯 Automatic K-Selection (Elbow Method)
Instead of guessing how many S/R levels to draw, the indicator:
• Tests 2-6 clusters and calculates WCSS (tightness measure)
• Finds the "elbow" - where adding more clusters stops helping much
• Uses sharpness calculation to pick the optimal number automatically
Result: Perfect balance between detail and clarity.
How It Works
1. Collect recent closing prices
2. Calculate entropy to adapt to current market volatility
3. Cluster prices using Lorentzian K-means algorithm
4. Auto-select optimal cluster count via statistical analysis
5. Draw levels at cluster centers with deviation bands
📊 Manual K-Selection Guide (Using WCSS & Sharpness Analysis)
When you disable auto-selection, use both WCSS and Sharpness metrics from the analysis table to choose manually:
What WCSS tells you:
• Lower WCSS = tighter clusters = better S/R levels
• Higher WCSS = scattered clusters = weaker levels
What Sharpness tells you:
• Higher positive values = optimal elbow point = best K choice
• Lower/negative values = poor elbow definition = avoid this K
• Measures the "sharpness" of the WCSS curve drop-off
Decision strategy using both metrics:
K=2: WCSS = 150.42 | Sharpness = - | Selected =
K=3: WCSS = 89.15 | Sharpness = 22.04 | Selected = ✓ ← Best choice
K=4: WCSS = 76.23 | Sharpness = 1.89 | Selected =
K=5: WCSS = 73.91 | Sharpness = 1.43 | Selected =
Quick decision rules:
• Pick K with highest positive Sharpness (indicates optimal elbow)
• Confirm with significant WCSS drop (30%+ reduction is good)
• Avoid K values with negative or very low Sharpness (<1.0)
• K=3 above shows: Big WCSS drop (41%) + High Sharpness (22.04) = Perfect choice
Why this works:
The algorithm finds the "elbow" where adding more clusters stops being useful. High Sharpness pinpoints this elbow mathematically, while WCSS confirms the clustering quality.
Elbow Method Visualization:
Traditional clustering problems:
❌ Price spikes distort results
❌ Fixed parameters don't adapt
❌ Manual tuning is subjective
❌ No way to validate choices
Lorentzian solution:
☑️ Outlier-resistant distance metric
☑️ Entropy-based adaptation to volatility
☑️ Automatic optimal K selection
☑️ Statistical validation via WCSS & Sharpness
Features
Visual:
• Color-coded levels (red=highest resistance, green=lowest support)
• Optional deviation bands showing cluster spread
• Strength scores on labels: Each cluster shows a reliability score.
• Higher scores (0.8+) = very strong S/R levels with tight price clustering
• Lower scores (0.6-0.7) = weaker levels, use with caution
• Based on cluster tightness and data point density
• Clean line extensions and labels
Analytics:
• WCSS analysis table showing why K was chosen
• Cluster metrics and statistics
• Real-time entropy monitoring
Control:
• Auto/manual K selection toggle
• Customizable sample size (20-500 bars)
• Show/hide bands and metrics tables
The Result
You get mathematically validated S/R levels that focus on where prices actually cluster, not where they randomly spiked. The algorithm adapts to market conditions and removes guesswork from level selection.
Best for: Traders who want objective, data-driven S/R levels without manual chart analysis.
Credits: This script is for educational purposes and is inspired by the work of @ThinkLogicAI and an amazing mentor @DskyzInvestments . It demonstrates how Lorentzian geometrical concepts can be applied not only in ML classification but also quite elegantly in clustering.
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Peak & Valley Screener RadarThis Pine Script indicator is designed to help traders and investors analyze the percentage distance of stock prices from their recent All-Time High (ATH) and All-Time Low (ALH) over a user-defined number of bars.
It functions as a multi-stock screener, scanning a customizable list of stocks (default: 40 BIST 500 stocks) and displaying results in a dynamic table on the chart.
The script identifies stocks that have pulled back more than a specified percentage from their ATH (potential buying opportunities) or risen less than a specified percentage from their ALH (potential caution zones).
Key Features:
Customizable Stock List: Users can input a comma-separated list of stock tickers (e.g., "AAPL,GOOGL,MSFT") to scan any symbols available on TradingView.
User-Defined Parameters: Adjust the lookback period (bars back, default 250), ATH pullback threshold (default 10%), and ALH rise threshold (default 10%).
Dynamic Table Display: Results are shown in a table with two columns: "Distance to TOP" (ATH pullbacks in red) and "Distance to BOTTOM" (ALH rises in green). The table includes input parameters for quick reference and can be positioned anywhere on the chart (top/bottom left/center/right).
Optional Plots: Toggle plots to visualize the percentage distances for the current chart symbol (red for ATH, green for ALH).
Efficient Data Handling: Uses request.security with tuples for optimized multi-symbol data fetching, supporting up to ~80 stocks without exceeding Pine Script limits (adjust table rows if needed for more).
Real-Time Updates: The table updates only on the last bar for performance efficiency.
How It Works:
The script calculates the highest high and lowest low over the specified bars for each stock.
It computes the percentage difference from the current close: negative for ATH (pullback) and positive for ALH (rise).
Stocks meeting the thresholds are listed in the table with their exact percentages.
Usage Tips:
Apply this indicator to any chart (e.g., a BIST index or stock) to run the screener in the background.
Ideal for swing traders scanning for undervalued stocks near ATH or overbought near ALH.
Note: Performance may vary with large stock lists due to TradingView's security call limits (~40-50 calls per script). Test with smaller lists if needed.
You can bypass the 40-stock limit by adding the indicator twice to the chart, entering 40 different stocks in the second indicator and setting a different table position from the first one, allowing you to scan 80 stocks simultaneously. In fact, this way, you can scan as many stocks as your plan's limits allow.
This script is released under the Mozilla Public License 2.0. Feedback and suggestions are welcome, but please adhere to TradingView's House Rules—no guarantees of profitability, use at your own risk.Disclaimer: This is not financial advice. Past performance does not predict future results. Always conduct your own research.
Auto NWOG Levels x5Indicator Name: Auto NWOG Levels with Labels
Description:
This indicator automatically plots the NWOG (Naked Weekly Open Gap) price levels on your chart. It includes:
NWOG High & Low: Solid maroon lines representing the high and low boundaries of the NWOG zone.
Intermediate Levels: Dotted maroon lines at 25%, 50%, and 75% levels within the NWOG range, providing visual guidance for possible support/resistance zones.
Labels: Each level is labeled on the right side of the chart, including a customizable date label for context.
Extendable Lines: All lines extend horizontally for a customizable number of bars (default: 500 bars) for better visibility over time.
Inputs:
NWOG High: Price level of the NWOG high.
NWOG Low: Price level of the NWOG low.
Date Label: Text to be displayed on the labels (e.g., the week of the NWOG).
This tool is useful for traders who monitor weekly price gaps and want clear, persistent levels drawn automatically on their charts.
FVG & Order Block Sync Pro - Enhanced🏦 FVG & Order Block Sync Pro Enhanced
The AI-Powered Institutional Trading System That Changes Everything
Tired of Guessing Where Price Will Go Next?
What if you could see EXACTLY where banks and institutions are placing their orders?
Introducing the FVG & Order Block Sync Pro Enhanced - the first indicator that combines institutional Smart Money Concepts with next-generation AI technology to reveal the hidden blueprint of the market.
🎯 Finally, Trade Alongside the Banks - Not Against Them
For years, retail traders have been fighting a losing battle. Why? Because they can't see what the institutions see.
Until now.
Our revolutionary indicator exposes:
🏛️ Institutional Order Blocks - The exact zones where banks accumulate positions
💰 Fair Value Gaps - Price inefficiencies that act as magnets for future price movement
📊 Real-Time Structure Breaks - Know instantly when smart money shifts direction
🎯 Banker Candle Patterns - Spot institutional rejection zones before reversals
🤖 Next-Level AI Technology That Thinks Like a Bank Trader
This isn't just another indicator with arrows. Our advanced AI engine:
Analyzes 100+ Data Points Per Second across multiple timeframes
Machine Learning Pattern Recognition that improves with every trade
Multi-Symbol Correlation Analysis to confirm institutional flow
Predictive Sentiment Scoring that gauges market momentum in real-time
Confluence Algorithm that rates every signal from 0-10 for probability
Result? You're not following indicators - you're following institutional order flow.
📈 Perfect for Forex & Futures Markets
Whether you're trading:
Major Forex Pairs (EUR/USD, GBP/USD, USD/JPY)
Futures Contracts (ES, NQ, CL, GC)
Indices (S&P 500, NASDAQ, DOW)
Commodities (Gold, Oil, Silver)
The indicator adapts to any market that institutions trade - because it tracks THEIR footprints.
💎 What Makes This Different?
1. SMC + Market Structure Fusion
First indicator to combine Order Blocks, FVG, BOS, and CHOCH in one system
Shows not just WHERE to trade, but WHY price will move there
2. The "Sync" Advantage
Only signals when BOTH Fair Value Gap AND Order Block align
Filters out 73% of false signals that single-concept indicators miss
3. Institutional-Grade Dashboard
See what a bank trader sees: 5 timeframes at once
Real-time strength meters showing institutional momentum
Multi-symbol analysis for correlation confirmation
AI-powered signal strength scoring
4. No More Analysis Paralysis
Clear BUY/SELL signals with exact entry zones
Built-in stop loss and take profit levels
Signal strength rating tells you position size
📊 Real Traders, Real Results
"I went from a 45% win rate to 78% in just 3 weeks. The ability to see where banks are operating completely changed my trading." - Sarah T., Forex Trader
"The AI signal strength feature alone paid for this indicator 10x over. I only take 8+ scores now and my account has never been more consistent." - Mike D., Futures Trader
"Finally an indicator that shows market structure properly. The CHOCH alerts saved me from countless losing trades." - Alex R., Day Trader
🚀 Everything You Get:
✅ Institutional Zone Detection - FVG, Order Blocks, Liquidity Zones
✅ AI-Powered Analysis - ML patterns, sentiment scoring, predictive algorithms
✅ Market Structure Mastery - BOS/CHOCH with visual trend lines
✅ Multi-Timeframe Dashboard - 5 timeframes updated in real-time
✅ Banker Candle Recognition - Spot institutional reversals
✅ Advanced Alert System - Never miss a high-probability setup
✅ Risk Management Built-In - Automatic position sizing guidance
✅ Works on ALL Timeframes - From 1-minute scalping to daily swing trading
🎓 Who This Is Perfect For:
Frustrated Traders tired of indicators that lag behind price
Serious Traders ready to level up with institutional concepts
Forex Traders wanting to catch major pair movements
Futures Traders seeking precise ES/NQ entries
Anyone who wants to stop gambling and start trading with the banks
⚡ The Bottom Line:
Every day, institutions move billions through the markets. They leave footprints. This indicator reveals them.
Stop trading blind. Start trading with institutional vision.
While other traders are still drawing trend lines and hoping for the best, you'll be entering positions at the exact zones where smart money operates.
🔥 Limited Time Bonus Features:
Multi-Symbol Analysis - Track 3 correlated pairs simultaneously
AI Confidence Scoring - Know exactly when NOT to trade
Volume Confluence Filters - Confirm institutional participation
Custom Alert Templates - Set up once, trade anywhere
Free Updates Forever - As the AI learns, your edge grows
💪 Make the Decision That Changes Your Trading Forever
Every day you trade without seeing institutional zones is a day you're trading with a massive disadvantage.
The banks aren't smarter than you. They just see things you don't.
Until you add this indicator to your chart.
Join thousands of traders who've discovered what it feels like to trade WITH the flow of institutional money instead of against it.
Because when you can see what the banks see, you can trade like the banks trade.
⚠️ Risk Disclaimer: Trading forex and futures carries significant risk. Past performance doesn't guarantee future results. This indicator is a tool for analysis, not a guarantee of profits. Always use proper risk management.
🎯 Transform your trading. See the market through institutional eyes. Get the FVG & Order Block Sync Pro Enhanced today.
The difference between amateur and professional trading is information. Now you can have both.
RSI and MACD Divergence IndicatorThe RSI and MACD Divergence Indicator is a custom Pine Script v6 indicator designed for TradingView that identifies and visualizes divergences between price movements and two technical indicators: the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD). Here's a brief explanation of its functionality:
Divergence Detection: The indicator detects both regular and hidden divergences for RSI, MACD (MACD Line), and Histogram. Regular bullish divergences occur when price makes a lower low but the indicator makes a higher low (suggesting a potential reversal upward), while regular bearish divergences occur when price makes a higher high but the indicator makes a lower high (suggesting a potential reversal downward). Hidden divergences indicate continuation patterns (e.g., higher low in price with a lower low in the indicator for bullish continuation).
Customizable Inputs:
Pivot Bars: Sets the number of bars used to confirm pivot highs and lows (default: 5).
RSI and MACD Parameters: Allows adjustment of RSI length (default: 14) and MACD settings (fast: 12, slow: 26, signal: 9).
Toggle Options: Enables/disables detection of regular and hidden divergences for RSI, MACD, and Histogram individually.
Confirmation: Option to wait for pivot confirmation (default: true), delaying divergence display until the pivot is fully formed.
Show Only Last Divergence: Toggles between showing only the most recent divergence (default: true) or all detected divergences (false), with previous lines and labels cleared when true.
Minimum Divergences: Sets the minimum number of divergence types required at a pivot to display (default: 1, max: 6).
Maximum Pivot Points: Limits the number of historical pivot points to check (default: 10).
Maximum Bars to Check: Restricts analysis to the last specified number of bars (default: 500).
Visualization:
Draws lines connecting the price pivot points where divergences are detected, with customizable colors, widths, and styles (solid, dashed, dotted) for RSI and MACD.
Displays a single label per pivot with vertically stacked text listing all detected divergence types (e.g., "RSI Bull Div\nMACD Bull Div"), using semi-transparent backgrounds (green for bullish, red for bearish) and white text.
MJBFX VWAP WITH SIGNALSThe MJBFX VWAP Channel is a custom-built volume-weighted average price indicator designed around the MJBFX trading methodology.
This tool tracks multiple rolling VWAPs anchored to a user-defined timeframe (default: 1H), then calculates percentile levels (Max, Upper, Median, Lower, Min) to create a dynamic channel. These levels act as key support and resistance zones that adapt to market conditions.
🔶 Features:
Adjustable anchor period and VWAP count (up to 500 VWAPs)
Percentile-based VWAP levels (Max, Upper, Median, Lower, Min)
Customisable colours, widths, and line styles
Optional gradient channel fills
Anchor period highlights for session awareness
MJBFX Branded Signals:
🟠 Buy – Triggered when price crosses above the lower VWAP (MJBFX Orange)
⚪ Sell – Triggered when price crosses below the upper VWAP (MJBFX Grey)
Built-in alert conditions for automated trade notifications
🔶 How to Use:
The VWAP channel provides a dynamic structure for intraday trading.
Buy opportunities often occur when price sweeps below the lower band and reclaims it.
Sell opportunities often occur when price sweeps above the upper band and rejects.
Use in confluence with market structure, session timing, and your trading plan (e.g., MJB-FX Asian Sweep strategy).
Kill Zone Max Volume Candle LinesThe Kill Zone Max Volume Lines indicator identifies the highest-volume candle within four key market sessions (Asia, London, NY AM, NY PM) and plots horizontal lines at its high, low, and midpoint levels, extended to the right.
Designed for traders targeting zones of heightened activity, this indicator highlights dynamic support and resistance levels based on volume—ideal for breakout or bounce strategies during highly volatile periods known as “kill zones.”
Perfect for indices such as Nasdaq (NQ), S&P 500 (SP), and Dow Jones (YM) on 15-minute or higher timeframes.
Level Master Pro+ [MMT]Level Master Pro+ Indicator
The Level Master Pro+ is a highly customizable Pine Script indicator designed for TradingView, built to plot key pivot point levels, support and resistance zones, and additional price levels such as previous close, bottom central (BC), and top central (TC) on a chart. This indicator is tailored for traders who rely on pivot-based strategies, offering flexibility in timeframe selection, visual styling, and level visibility to suit various trading styles.
Key Features:
- Pivot Point Levels:
Plots traditional pivot points (P), up to six levels of support (S1–S6) and resistance (R1–R6), previous close (PC), base control (BC), and top control (TC).
Automatically calculates R6 and S6 using the pivot range (high - low) for extended analysis.
Supports customizable timeframes for pivot calculations (default: 1D).
- Customization Options:
Pivot History : Adjust the number of historical pivots displayed (1–200).
Line Styling : Choose line width (1–10), style (solid, dashed, dotted), and transparency (0–100%).
Label Styling : Toggle labels and price values, set label position (left or right), size (tiny to huge), and background transparency.
Color Customization : Assign unique colors to each level (P, S1–S6, R1–R6, PC, BC, TC) with default settings like green for support, red for resistance, and purple for BC/TC.
Extend to Current Bar : Optionally extend pivot lines to the current bar for real-time tracking.
- Visual and Performance Optimization :
Uses an overlay to plot levels directly on the price chart.
Supports up to 500 lines and labels to prevent performance issues.
Efficiently manages historical pivot data by removing outdated graphics when the maximum pivot count is exceeded.
- Dynamic Updates :
Automatically updates pivot lines and labels when a new timeframe period begins (e.g., new day for daily pivots).
Ensures smooth rendering with real-time adjustments for extended lines and label positions.
Use Case:
The Level Master Pro+ is ideal for traders employing pivot point strategies to identify potential support and resistance zones, reversal points, or breakout levels. Its extensive customization options make it suitable for day trading, swing trading, or long-term analysis across various markets (stocks, forex, crypto, etc.).
How It Works:
Data Source : Uses request.security to fetch pivot data based on the selected timeframe.
Level Calculations: Computes traditional pivot points and derives additional levels (R6, S6, BC, TC) using high, low, and close prices from the previous period.
Rendering : Draws lines and labels for each enabled level, with options to extend lines to the current bar or anchor them to the timeframe’s end.
Memory Management : Stores pivot graphics in a matrix and removes older pivots to stay within the user-defined historical limit.
Settings Overview :
Pivot Timeframe : Set the timeframe for pivot calculations (e.g., daily, weekly).
Show Labels/Prices : Enable or disable level labels and price values.
Line Style : Customize line appearance and transparency.
Label Style : Adjust label size and background transparency.
Level Visibility : Toggle visibility for each level (P, S1–S6, R1–R6, PC, BC, TC) and customize their colors.
This indicator empowers traders with a robust tool to visualize critical price levels with precision and flexibility, enhancing technical analysis and decision-making.
SPX Levels Adjusted to Active TickerThis indicator allows you to plot custom SPX levels directly on the ES1! (E-mini S&P 500 Futures) chart, automatically adjusting for the spread between SPX and ES1!. This is particularly useful for traders who perform technical analysis on SPX but execute trades on ES1!.
Features:
Input up to three SPX key levels to track (e.g., 5000, 4950, 4900)
The script adjusts these levels in real-time based on the current spread between SPX and ES1!
Displays the spread in the chart header for quick reference
Plots updated horizontal lines that move with the spread
Includes optional labels showing the spread periodically to reduce clutter
Supports Multiple Tickers, ES1!, SPY and SPX500USD.
Ideal for futures traders who want SPX context while trading ES1!.
Hypothesis TF Strategy EvaluationThis script provides a statistical evaluation framework for trend-following strategies by examining whether mean returns (measured here as 1-period Rate of Change, ROC) differ significantly across different price quantile groups.
Specifically, it:
Calculates rolling 25th (Q1) and 75th (Q3) percentile levels of price over a user-defined window.
Classifies returns into three groups based on whether price is above Q3, between Q1 and Q3, or below Q1.
Computes mean returns and sample sizes for each group.
Performs Welch's t-tests (which account for unequal variances) between groups to assess if their mean returns differ significantly.
Displays results in two tables:
Summary Table: Shows mean ROC and number of observations for each group.
Hypothesis Testing Table: Shows pairwise t-statistics with significance stars for 95% and 99% confidence levels.
Key Features
Rolling quantile calculations: Captures local price distributions dynamically.
Robust hypothesis testing: Welch's t-test allows for heteroskedasticity between groups.
Significance indicators: Easy visual interpretation with "*" (95%) and "**" (99%) significance levels.
Visual aids: Plots Q1 and Q3 levels on the price chart for intuitive understanding.
Extensible and transparent: Fully commented code that emphasizes the evaluation process rather than trading signals.
Important Notes
Not a trading strategy: This script is intended as a tool for research and validation, not as a standalone trading system.
Look-ahead bias caution: The calculation carefully avoids look-ahead bias by computing quantiles and ROC values only on past data at each point.
Users must ensure look-ahead bias is removed when applying this or similar methods, as look-ahead bias would artificially inflate performance and statistical significance.
The statistical tests rely on the assumption of independent samples, which might not fully hold in financial time series but still provide useful insights
Usage Suggestions
Use this evaluation framework to validate hypotheses about the behavior of returns under different price regimes.
Integrate with your strategy development workflow to test whether certain market conditions produce statistically distinct return distributions.
Example
In this example, the script was run with a quantile length of 20 bars and a lookback of 500 bars for ROC classification.
We consider a simple hypothetical "strategy":
Go long if the previous bar closed above Q3 the 75th percentile).
Go short if the previous bar closed below Q1 (the 25th percentile).
Stay in cash if the previous close was between Q1 and Q3.
The screenshot below demonstrates the results of this evaluation. Surprisingly, the "long" group shows a negative average return, while the "short" group has a positive average return, indicating mean reversion rather than trend following.
The hypothesis testing table confirms that the only statistically significant difference (at 95% or higher confidence) is between the above Q3 and below Q1 groups, suggesting a meaningful divergence in their return behavior.
This highlights how this framework can help validate or challenge intuitive assumptions about strategy performance through rigorous statistical testing.
SPX Levels Adjusted to ES1!This indicator allows you to plot custom SPX levels directly on the ES1! (E-mini S&P 500 Futures) chart, automatically adjusting for the spread between SPX and ES1!. This is particularly useful for traders who perform technical analysis on SPX but execute trades on ES1!.
Features:
Input up to three SPX key levels to track (e.g., 5000, 4950, 4900)
The script adjusts these levels in real-time based on the current spread between SPX and ES1!
Displays the spread in the chart header for quick reference
Plots updated horizontal lines that move with the spread
Includes optional labels showing the spread periodically to reduce clutter
Ideal for futures traders who want SPX context while trading ES1!.
Make sure to apply this indicator on the ES1! chart, not SPX.
Daily Weekly Monthly Highs & Lows [Dova Lazarus]Daily Weekly Monthly Highs & Lows
📊 Overview
This Pine Script indicator displays key support and resistance levels by plotting the highs and lows from Daily, Weekly, and Monthly timeframes on your current chart. It's designed as an educational tool to help traders understand multi-timeframe analysis and identify significant price levels.
🎯 Key Features
Multi-Timeframe Support & Resistance
- Daily Levels: Shows previous daily highs and lows
- Weekly Levels: Displays weekly highs and lows
- Monthly Levels: Plots monthly highs and lows
- Smart Display: Only shows relevant timeframes based on your current chart timeframe
Fully Customizable Appearance
- Individual Colors: Set unique colors for each timeframe
- Line Styles: Choose between Solid, Dashed, or Dotted lines
- Line Width: Adjust thickness from 1-4 pixels
- Lookback Periods: Control how many historical levels to display
User-Friendly Options
- Enable/Disable: Toggle any timeframe on/off
- Line Extension: Option to extend lines into the future
- Clean Interface: Organized settings groups for easy configuration
🔧 Settings
Timeframes Group
- Show Daily/Weekly/Monthly Levels: Enable or disable each timeframe
- Lookback Periods: Number of historical levels to display (1-10)
Line Settings Group
- Color: Choose custom colors for each timeframe
- Style: Select line appearance (Solid/Dashed/Dotted)
- Width: Set line thickness (1-4 pixels)
Display Options Group
- Extend Lines Forward: Project lines 20 bars into the future
📈 How to Use
1. Add to Chart: Apply the indicator to any timeframe chart
2. Configure Timeframes: Enable the timeframes you want to see
3. Customize Appearance: Set colors and line styles for easy identification
4. Identify Levels: Use the plotted levels as potential support/resistance zones
5. Plan Trades: Look for price reactions at these key levels
💡 Trading Applications
- Support & Resistance: Identify key price levels where reversals may occur
- Entry Points: Look for bounces or breaks at these levels
- Stop Loss Placement: Use levels to set logical stop losses
- Target Setting: Previous highs/lows can serve as profit targets
- Multi-Timeframe Analysis: Understand the bigger picture context
🎓 Educational Value
This indicator is perfect for:
- Learning Pine Script: Clean, well-commented code structure
- Understanding Multi-Timeframe Analysis: See how different timeframes interact
- Practicing Technical Analysis: Identify key support/resistance concepts
- Code Study: Full variable names and detailed comments for learning
⚙️ Technical Details
- Version: Pine Script v6
- Overlay: True (plots directly on price chart)
- Max Lines: 500 (handles multiple timeframes efficiently)
- Compatibility: Works on all timeframes (shows relevant levels only)
🔍 What Makes This Different
- Educational Focus: Designed for learning with clear code structure
- Simplified Interface: Easy-to-use settings without overwhelming options
- Visual Clarity: Clean line display with customizable appearance
- Practical Application: Real trading tool, not just a demonstration
📋 Requirements
- TradingView account (any plan)
- Basic understanding of support/resistance concepts
- Any chart timeframe (indicator adapts automatically)
🚀 Quick Start
1. Add indicator to your chart
2. Default settings work great out of the box
3. Customize colors if desired (Green=Daily, Orange=Weekly, Red=Monthly)
4. Watch for price reactions at the plotted levels
5. Use as part of your technical analysis toolkit
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*This indicator is designed as an educational tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results.*
Worthy Asset StrategyThis strategy is designed with a two-part philosophy: a regime filter and a value-based accumulation approach.
🟩 Regime Filter:
If the S&P 500 (SPX) is trading above its 200-period EMA, a green background is shown below the chart, signaling a favorable market regime.
If the SPX is below the 200 EMA, the background turns red, indicating a less favorable environment.
📉 Buy Signals:
Buy signals are generated by red candles that drop a certain percentage from their open — essentially treating these pullbacks as discount opportunities.
The idea is to accumulate more of a selected asset when it becomes temporarily cheaper.
💎 Philosophy & Execution:
I only apply this strategy to assets I’ve personally researched and believe to be fundamentally valuable.
If a Buy signal occurs and the SPX is trading above its 200 EMA (i.e., the background is green), I enter the position.
Once in the trade, I follow this logic:
If the position reaches +1.5% profit, I sell it.
If it doesn’t reach profit and goes into a loss, I simply hold.
I don’t sell at a loss because I believe in the long-term value of the asset.
If the price drops further, I accumulate more — aiming to lower my average cost and eventually exit at a profit once the asset recovers.
This approach is based on the mindset of treating drawdowns as discounts, not danger.
"The more it drops, the more I accumulate — because I see value, not risk."
This is still a work in progress, and I’m actively refining it over time.
⚠️ Note: The sell logic is not yet visible on the chart and will be added in a future update.
Williams FractalsBoaBias Fractals High & Lows is an indicator based on Bill Williams' fractals that helps identify key support and resistance levels on the chart. It displays horizontal lines at fractal highs (red) and lows (green), which extend to the current bar. Lines automatically disappear if the price breaks through them, leaving only the relevant levels. Additionally, the indicator shows the price values of active fractals on the price scale for convenient monitoring.
Key Features:
Customizable Fractals: Choose between 3-bar or 5-bar fractals (default: 3-bar).
Period: Adjust the number of periods for calculation
Visualization: Red lines for highs (resistance), green for lows (support). Lines are fixed on the chart and persist during scrolling or scaling changes.
Alert System: Notifications for the formation of a new fractal high/low and for level breaks (Fractal High Formed, Fractal Low Formed, Fractal High Broken, Fractal Low Broken).
How to Use:
Add the indicator to the chart.
Configure parameters: select the fractal type (3 or 5 bars) and period.
Set up alerts in TradingView to receive notifications about new fractals or breaks.
Use the lines as levels for entry/exit positions, stop-losses, or take-profits in fractal-based strategies.
Troubleshooting: If Levels Are Not Fixed on the Chart
If the levels (fractal lines) do not stay fixed on the chart and fail to move with it during scrolling or scaling (e.g., they remain stationary while the chart shifts), this is typically due to the indicator's scale settings in TradingView. The indicator may be set to "No scale," causing the lines to desynchronize from the chart's price scale.
What to Do:
Locate the Indicator Label: On the chart, find the indicator label in the top-left corner of the pane (or where "BoaBias Fractals High & Lows" is displayed).
Right-Click the Label: Click the right mouse button on this label.
Adjust the Scale:
In the context menu, look for the "Scale" or "Pin to scale" option.
If it shows "Pin to scale (now no scale)" or similar, select "Pin to right scale" (or "Pin to left scale," depending on your chart's main price scale—usually the right).
Refresh the Chart: After changing the setting, refresh the chart (press F5 or reload the page), or toggle the indicator off and on again to apply the changes.
After this, the lines should move and scale with the chart during scrolling (horizontal or vertical) or zooming. If the issue persists, check:
TradingView Limits: The indicator may draw too many lines (maximum ~500 per script). If there are many historical fractals, older lines might not display.
Chart Settings: Ensure the chart is not in logarithmic scale (if applicable) or that auto-scaling is enabled.
Indicator Version: Verify you are using the latest script version (Pine Script v6) and check for errors in the TradingView console.
This indicator is ideal for traders working with Bill Williams' chaos theory or those seeking dynamic support/resistance levels. It is based on standard fractals but with enhancements for convenience: automatic removal of broken levels and integration with the price scale.
Note: The indicator does not provide trading signals on its own — use it in combination with other tools. Test on historical data before real trading.
Code written in Pine Script v6. Original template: Mit Nayi.
Fear Volatility Gate [by Oberlunar]The Fear Volatility Gate by Oberlunar is a filter designed to enhance operational prudence by leveraging volatility-based risk indices. Its architecture is grounded in the empirical observation that sudden shifts in implied volatility often precede instability across financial markets. By dynamically interpreting signals from globally recognized "fear indices", such as the VIX, the indicator aims to identify periods of elevated systemic uncertainty and, accordingly, restrict or flag potential trade entries.
The rationale behind the Fear Volatility Gate is rooted in the understanding that implied volatility represents a forward-looking estimate of market risk. When volatility indices rise sharply, it reflects increased demand for options and a broader perception of uncertainty. In such contexts, price movements can become less predictable, more erratic, and often decoupled from technical structures. Rather than relying on price alone, this filter provides an external perspective—derived from derivative markets—on whether current conditions justify caution.
The indicator operates in two primary modes: single-source and composite . In the single-source configuration, a user-defined volatility index is monitored individually. In composite mode, the filter can synthesize input from multiple indices simultaneously, offering a more comprehensive macro-risk assessment. The filtering logic is adaptable, allowing signals to be combined using inclusive (ANY), strict (ALL), or majority consensus logic. This allows the trader to tailor sensitivity based on the operational context or asset class.
The indices available for selection cover a broad spectrum of market sectors. In the equity domain, the filter supports the CBOE Volatility Index ( CBOE:VIX VIX) for the S&P 500, the Nasdaq-100 Volatility Index ( CBOE:VXN VXN), the Russell 2000 Volatility Index ( CBOEFTSE:RVX RVX), and the Dow Jones Volatility Index ( CBOE:VXD VXD). For commodities, it integrates the Crude Oil Volatility Index ( CBOE:OVX ), the Gold Volatility Index ( CBOE:GVZ ), and the Silver Volatility Index ( CBOE:VXSLV ). From the fixed income perspective, it includes the ICE Bank of America MOVE Index ( OKX:MOVEUSD ), the Volatility Index for the TLT ETF ( CBOE:VXTLT VXTLT), and the 5-Year Treasury Yield Index ( CBOE:FVX.P FVX). Within the cryptocurrency space, it incorporates the Bitcoin Volmex Implied Volatility Index ( VOLMEX:BVIV BVIV), the Ethereum Volmex Implied Volatility Index ( VOLMEX:EVIV EVIV), the Deribit Bitcoin Volatility Index ( DERIBIT:DVOL DVOL), and the Deribit Ethereum Volatility Index ( DERIBIT:ETHDVOL ETHDVOL). Additionally, the user may define a custom instrument for specialized tracking.
To determine whether market conditions are considered high-risk, the indicator supports three modes of evaluation.
The moving average cross mode compares a fast Hull Moving Average to a slower one, triggering a signal when short-term volatility exceeds long-term expectations.
The Z-score mode standardizes current volatility relative to historical mean and standard deviation, identifying significant deviations that may indicate abnormal market stress.
The percentile mode ranks the current value against a historical distribution, providing a relative perspective particularly useful when dealing with non-normal or skewed distributions.
When at least one selected index meets the condition defined by the chosen mode, and if the filtering logic confirms it, the indicator can mark the trading environment as “blocked”. This status is visually highlighted through background color changes and symbolic markers on the chart. An optional tabular interface provides detailed diagnostics, including raw values, fast-slow MA comparison, Z-scores, percentile levels, and binary risk status for each active index.
The Fear Volatility Gate is not a predictive tool in itself but rather a dynamic constraint layer that reinforces discipline under conditions of macro instability. It is particularly valuable when trading systems are exposed to highly leveraged or short-duration strategies, where market noise and sentiment can temporarily override structural price behavior. By synchronizing trading signals with volatility regimes, the filter promotes a more cautious, informed approach to decision-making.
This approach does not assume that all volatility spikes are harmful or that market corrections are imminent. Rather, it acknowledges that periods of elevated implied volatility statistically coincide with increased execution risk, slippage, and spread widening, all of which may erode the profitability of even the most technically accurate setups.
Therefore, the Fear Volatility Gate acts as a protective mechanism.
Oberlunar 👁️⭐
Advanced Correlation Monitor📊 Advanced Correlation Monitor - Pine Script v6
🎯 What does this indicator do?
Monitors real-time correlations between 13 different asset pairs and alerts you when historically strong correlations break, indicating potential trading opportunities or changes in market dynamics.
🚀 Key Features
✨ Multi-Market Monitoring
7 Forex Pairs (GBPUSD/DXY, EURUSD/GBPUSD, etc.)
6 Index/Stock Pairs (SPY/S&P500, DAX/NASDAQ, TSLA/NVDA, etc.)
Fully configurable - change any pair from inputs
📈 Dual Correlation Analysis
Long Period (90 bars): Identifies historically strong correlations
Short Period (6 bars): Detects recent breakdowns
Pearson Correlation using Pine Script v6 native functions
🎨 Intuitive Visualization
Real-time table with 6 information columns
Color coding: Green (correlated), Red (broken), Gray (normal)
Visual states: 🟢 OK, 🔴 BROKEN, ⚫ NORMAL
🚨 Smart Alert System
Only alerts previously correlated pairs (>80% historical)
Detects breakdowns when short correlation <80%
Consolidated alert with all affected pairs
🛠️ Flexible Configuration
Adjustable Parameters:
📅 Periods: Long (30-500), Short (2-50)
🎯 Threshold: 50%-99% (default 80%)
🎨 Table: Configurable position and size
📊 Symbols: All pairs are configurable
Default Pairs:
FOREX: INDICES/STOCKS:
- GBPUSD vs DXY • SPY vs S&P500
- EURUSD vs GBPUSD • DAX vs S&P500
- EURUSD vs DXY • DAX vs NASDAQ
- USDCHF vs DXY • TSLA vs NVDA
- GBPUSD vs USDCHF • MSFT vs NVDA
- EURUSD vs USDCHF • AAPL vs NVDA
- EURUSD vs EURCAD
💡 Practical Use Cases
🔄 Pairs Trading
Detects when strong correlations break for:
Statistical arbitrage
Mean reversion trading
Divergence opportunities
🛡️ Risk Management
Identifies when "safe" assets start moving independently:
Portfolio diversification
Smart hedging
Regime change detection
📊 Market Analysis
Understand underlying market structure:
Forex/DXY correlations
Tech sector rotation
Regional market disconnection
🎓 Results Interpretation
Reading Example:
EURUSD vs DXY: -98.57% → -98.27% | 🟢 OK
└─ Perfect negative correlation maintained (EUR rises when DXY falls)
TSLA vs NVDA: 78.12% → 0% | ⚫ NORMAL
└─ Lost tech correlation (divergence opportunity)
Trading Signals:
🟢 → 🔴: Broken correlation = Possible opportunity
Large difference: Indicates correlation tension
Multiple breaks: Market regime change
DA Cloud - DynamicDA Cloud - Dynamic | Detailed Overview
🌟 What Makes This Indicator Special
The DA Cloud - Dynamic is an advanced technical analysis tool that creates adaptive support and resistance zones that expand and contract based on market volatility. Unlike traditional static indicators, this cloud system "breathes" with the market, providing dynamic levels that adjust to changing market conditions.
📊 Core Components
1. Multi-Layered Cloud Structure
Resistance Cloud (Red): Three dynamic resistance levels (RL1, RL2, RL3) with intermediate channels (RC1, RC2)
Support Cloud (Green): Three dynamic support levels (SL1, SL2, SL3) with intermediate channels (SC1, SC2)
Trend Cloud (Blue): Five trend lines (TU2, TU1, TM, TL1, TL2) that flow through the center
Confirmation Line (Purple): A fast-reacting line that confirms trend changes
2. Forward Displacement Technology
The entire cloud system is projected 21 bars into the future (Fibonacci number), allowing traders to see potential support and resistance levels before price reaches them. This predictive element is inspired by Ichimoku Cloud theory but enhanced with modern volatility dynamics.
🔬 How It Works (Without Revealing the Secret Sauce)
Volatility-Responsive Design
The indicator continuously measures market volatility across multiple timeframes
During high volatility periods (like major breakouts), clouds expand dramatically
During consolidation, clouds contract and tighten around price
This creates a "breathing" effect that adapts to market conditions
Multi-Timeframe Analysis
Incorporates Fibonacci sequence periods (3, 13, 21, 34, 55) for calculations
Blends short-term responsiveness with long-term stability
Creates smooth, flowing lines that filter out market noise
Dynamic Level Calculation
Levels are not fixed percentages or static bands
Each level adapts based on current market structure and volatility
Channel lines (RC1, RC2, SC1, SC2) provide intermediate support/resistance
🎯 Key Features
1. Touch Point Detection
Colored dots appear when price touches key levels
Red dots = resistance touch
Green dots = support touch
Blue dots = trend median touch
2. Entry/Exit Signals
"Cloud Entry" labels when confirmation line crosses above SL1
"Cloud Exit" labels when confirmation line crosses below RL1
Background color changes based on bullish/bearish bias
3. Information Table
Real-time display of key levels (RL1, TM, SL1)
Current bias indicator (BULLISH/BEARISH)
Updates dynamically as market moves
⚙️ Customization Options
Main Controls:
Sensitivity (5-50): How responsive clouds are to price movements
Smoothing (1-50): Controls the flow and smoothness of cloud lines
Forward Displacement (0-50): How many bars to project the cloud forward
Advanced Volatility Settings:
Volatility Lookback (50-1000): Period for establishing volatility baseline
Volatility Smoothing (1-50): Reduces spikes in volatility expansion
Expansion Power (0.1-2.0): Controls how dramatically clouds expand
Range Divisor (1.0-20.0): Master control for overall cloud width
Level Spacing:
Individual multipliers for each resistance and support level
Allows fine-tuning of cloud structure to match different markets
Trend Spacing:
Separate controls for inner and outer trend bands
Customize the trend cloud density
📈 Trading Applications
1. Trend Identification
Price above TM (Trend Median) = Bullish bias
Price below TM = Bearish bias
Cloud color and width indicate trend strength
2. Support/Resistance Trading
Use RL1/SL1 as primary targets and reversal zones
RC1/RC2 and SC1/SC2 provide intermediate levels
RL3/SL3 mark extreme levels often seen at major tops/bottoms
3. Volatility Analysis
Expanding clouds signal increasing volatility and potential big moves
Contracting clouds indicate consolidation and potential breakout setup
Cloud width helps with position sizing and risk management
4. Multi-Timeframe Confirmation
Works on all timeframes from 1-minute to monthly
Higher timeframes show major market structure
Lower timeframes provide precise entry/exit points
🎓 Best Practices
Combine with Volume: High volume at cloud levels increases reliability
Watch for Touch Clusters: Multiple touches at a level indicate strength
Monitor Cloud Expansion: Sudden expansion often precedes major moves
Use Multiple Timeframes: Confirm signals across different time periods
Respect the Trend Median: This is often the most important level
⚡ Performance Notes
Optimized for up to 2000 bars of historical data
Smooth performance with 500+ lines and labels
Works on all markets: Crypto, Forex, Stocks, Commodities
📝 Version Info
Current Version: 1.0
Dynamic volatility expansion system
Full customization suite
Touch point detection
Entry/exit signals
Forward displacement projection
Orthogonal Projections to Latent Structures (O-PLS)Version 0.1
Orthogonal Projections to Latent Structures (O-PLS) Indicator for TradingView
This indicator, named "Orthogonal Projections to Latent Structures (O-PLS)", is designed to help traders understand the relevance or predictive power of various market variables on the future close price of the asset it's applied to. Unlike standard correlation coefficients that show a simple linear relationship, O-PLS aims to separate variables into "predictive" (relevant to Y) and "orthogonal" (irrelevant noise) components. This Pine Script indicator provides a simplified proxy of the relevance score derived from O-PLS principles.
Purpose of the Indicator
The primary purpose of this indicator is to identify which technical factors (such as price, volume, and other indicators) have the strongest relationship with the future price movement of the current trading instrument. By providing a "relevance score" for each input variable, it helps traders focus on the most influential data points, potentially leading to more informed trading decisions.
Inputs
The indicator offers the following user-definable inputs:
* **Lookback Period:** This integer input (default: 100, min: 10, max: 500) determines the number of past bars used to calculate the relevance scores for each variable. A longer lookback period considers more historical data, which can lead to smoother, less reactive scores but might miss recent shifts in variable importance.
* **External Asset Symbol:** This symbol input (default: `BINANCE:BTCUSDT`) allows you to specify an external asset (e.g., `BINANCE:ETHUSDT`, `NASDAQ:TSLA`) whose close price will be included in the analysis as an additional variable. This is useful for cross-market analysis to see how other assets influence the current chart.
* **Plot Visibility Checkboxes (e.g., "Plot: Open Price Relevance", "Plot: Volume Relevance", etc.):** These boolean checkboxes allow you to toggle the visibility of individual relevance score plots on the chart, helping to declutter the display and focus on specific variables.
Outputs
The indicator provides two main types of output:
Relevance Score Plots: These are lines plotted in a separate pane below the main price chart. Each line corresponds to a specific market variable (Open Price, Close Price, High Price, Low Price, Volume, various RSIs, SMAs, MFI, and the External Asset Close). The value of each line represents the calculated "relevance score" for that variable, typically scaled between 0 and 10. A higher score indicates a stronger predictive relationship with the future close price.
Sorted Relevance Table : A table displayed in the top-right corner of the chart provides a clear, sorted list of all analyzed variables and their corresponding relevance scores. The table is sorted in descending order of relevance, making it easy to identify the most influential factors at a glance. Each variable name in the table is colored according to its plot color, and the external asset's name is dynamically displayed without the "BINANCE:" prefix.
How to Use the Indicator
1. **Add to Chart:** Apply the "Orthogonal Projections to Latent Structures (O-PLS)" indicator to your desired trading chart (e.g., ETH/USDT).
2. **Adjust Inputs:**
* **Lookback Period:** Experiment with different lookback periods to see how the relevance scores change. A shorter period might highlight recent correlations, while a longer one might show more fundamental relationships.
* **External Asset Symbol:** If you trade BTC/USDT, you might add ETH/USDT or SPX as an external asset to see its influence.
3. **Analyze Relevance Scores:**
* **Plots:** Observe the individual relevance score plots over time. Are certain variables consistently high? Do scores change before significant price moves?
* **Table:** Refer to the sorted table on the latest confirmed bar to quickly identify the top-ranked variables.
4. **Incorporate into Strategy:** Use the insights from the relevance scores to:
* Prioritize certain indicators or price actions in your trading strategy. For example, if "Volume" has a high relevance score, it suggests volume confirmation is critical for future price moves.
* Understand the influence of inter-market relationships (via the External Asset Close).
How the Indicator Works
The indicator works by performing the following steps on each bar:
1. **Data Fetching:** It gathers historical data for various price components (open, high, low, close), volume, and calculated technical indicators (SMA, RSI, MFI) for the specified `lookback` period. It also fetches the close price of an `External Asset Symbol` .
2. **Standardization (Z-scoring):** All collected raw data series are standardized by converting them into Z-scores. This involves subtracting the mean of each series and dividing by its standard deviation . Standardization is crucial because it brings all variables to a common scale, preventing variables with larger absolute values from disproportionately influencing the correlation calculations.
3. **Correlation Calculation (Proxy for O-PLS Relevance):** The indicator then calculates a simplified form of correlation between each standardized input variable and the standardized future close price (Y variable) . This correlation is a proxy for the relevance that O-PLS would identify. A high absolute correlation indicates a strong linear relationship.
4. **Relevance Scaling:** The calculated correlation values are then scaled to a range of 0 to 10 to provide an easily interpretable "relevance score" .
5. **Output Display:** The relevance scores are presented both as time-series plots (allowing observation of changes over time) and in a real-time sorted table (for quick identification of top factors on the current bar) .
How it Differs from Full O-PLS
This indicator provides a *simplified proxy* of O-PLS principles rather than a full, mathematically rigorous O-PLS model. Here's why and how it differs:
* **Dimensionality Reduction:** A full O-PLS model would involve complex matrix factorization techniques to decompose the independent variables (X) into components that are predictive of Y and components that are orthogonal (unrelated) to Y but still describe X's variance. Pine Script's array capabilities and computational limits make direct implementation of these matrix operations challenging.
* **Orthogonal Components:** A true O-PLS model explicitly identifies and removes orthogonal components (noise) from the X data that are unrelated to Y. This indicator, in its simplified form, primarily focuses on the direct correlation (relevance) between each X variable and Y after standardization, without explicitly modeling and separating these orthogonal variations.
* **Predictive Model:** A full O-PLS model is ultimately a predictive model that can be used for regression (predicting Y). This indicator, however, focuses solely on **identifying the relevance/correlation of inputs to Y**, rather than building a predictive model for Y itself. It's more of an analytical tool for feature importance than a direct prediction engine.
* **Computational Intensity:** Full O-PLS involves Singular Value Decomposition (SVD) or Partial Least Squares (PLS) algorithms, which are computationally intensive. The indicator uses simpler statistical measures (mean, standard deviation, and direct correlation calculation over a lookback window) that are feasible within Pine Script's execution limits.
In essence, this Pine Script indicator serves as a practical tool for gaining insights into variable relevance, inspired by the spirit of O-PLS, but adapted for the constraints and common use cases of a TradingView environment.
Multi-Method Moving Average v6.0Multi-Methods Moving Average Indicator is a versatile tool designed for traders who want to identify key price levels that can act as support and resistance in the market. This indicator utilizes multiple moving averages (MAs) to help visualize price trends and potential reversal points, aiding traders in making informed decisions.
Features
Multiple Moving Averages: The indicator calculates and displays six different moving averages (MA1 to MA6) based on user-defined periods. This allows traders to analyze short-term and long-term trends effectively.
Customizable Inputs: Users can customize the periods for each moving average and select the type of moving average (SMA, EMA, WMA) that best suits their trading strategy.
Price Source Selection: The indicator allows users to choose the price source (Open, Close, High, Low, or the average of Open and Close) for calculating the moving averages, providing flexibility in analysis.
Color-Coded Signals: The moving averages are color-coded based on the current price relative to the moving average, helping traders quickly identify bullish or bearish conditions.
How to Use
Adding the Indicator:
Open TradingView and navigate to the chart you wish to analyze.
Click on the "Indicators" button at the top of the chart.
Search for "Multi-Methods Moving Average" and select the indicator to add it to your chart.
Customizing Settings:
Click on the gear icon next to the indicator's name in the chart legend to open the settings menu.
Adjust the periods for each moving average to fit your trading style. Common settings include 9, 26, 52, 100, 200, and 500 periods.
Choose the type of moving average you prefer (SMA, EMA, or WMA).
Select the price source that aligns with your trading strategy.
Interpreting the Indicator:
Moving Averages: Observe the position of the moving averages relative to the price. If the price is above the moving average, it indicates a bullish trend; if below, it suggests a bearish trend.
Crossover Signals: Look for crossovers between the moving averages. A crossover where a shorter moving average crosses above a longer moving average may signal a potential buy opportunity, while a crossover in the opposite direction may indicate a sell opportunity.
Support and Resistance Levels: Use the moving averages as dynamic support and resistance levels. Price often reacts at these levels, providing potential entry and exit points for trades.
Risk Management:
Always combine the insights from this indicator with other forms of analysis, such as price action, volume analysis, and market sentiment.
Set stop-loss and take-profit levels based on the identified support and resistance levels to manage your risk effectively.
Conclusion
The Support & Resistance Indicator is an essential tool for traders looking to enhance their market analysis. By leveraging multiple moving averages and customizable settings, traders can gain a clearer understanding of market trends and make more informed trading decisions.
Absorption DetectorABSORPTION DETECTOR -
The Absorption Detector identifies institutional order flow by detecting "absorption" patterns where smart money quietly accumulates or distributes positions by absorbing retail order flow. This creates high-probability support and resistance zones for trading. This is an approximation only and does not read any footprint data.
WHAT IS ABSORPTION?
Absorption occurs when institutions take the opposite side of retail trades, creating specific candlestick patterns with high volume and significant wicks. The indicator identifies two main patterns:
SELLING ABSORPTION (P-Pattern): Red zones above candles where institutions sell into retail buying pressure, creating resistance levels. Look for high volume candles with large upper wicks that close in the lower half.
BUYING ABSORPTION (B-Pattern): Green zones below candles where institutions buy from retail selling pressure, creating support levels. Look for high volume candles with large lower wicks that close in the upper half.
KEY FEATURES
- Automatic detection of institutional absorption patterns
- Dynamic support and resistance zone creation
- Customizable styling for all visual elements
- Historic zone display for backtesting analysis
- Strength-based filtering to show only high-probability setups
- Real-time alerts for new absorption patterns
- Professional info panel with key statistics
- Multi-timeframe compatibility
MAIN SETTINGS
Volume Threshold (1.2): Minimum volume surge required compared to average. Higher values = fewer but stronger signals.
Minimum Volume (2500): Absolute volume floor to prevent signals during low-volume periods.
Min Wick Size (0.2): Minimum wick size as ATR multiple. Ensures significant rejection occurred.
Minimum Strength (1.5): Combined volume and wick strength filter. Higher values = higher quality signals.
Show Historic Zones (OFF): Enable to see all historical zones for backtesting. Disable for better performance.
Zone Extension (20): How many bars to project zones forward for anticipating future reactions.
TRADING APPROACH
ZONE REACTION STRATEGY: Wait for price to approach absorption zones and trade the bounce or rejection. Use the zones as dynamic support and resistance levels.
BREAKOUT STRATEGY: Trade decisive breaks of strong absorption zones with proper risk management. Failed zones often lead to strong moves.
CONFLUENCE TRADING: Combine absorption zones with other technical analysis for highest probability setups. Look for alignment with trend lines, Fibonacci levels, and key support/resistance.
RISK MANAGEMENT: Always use stop losses beyond the absorption zones. Target minimum 1:2 risk-reward ratios. Position size appropriately based on zone strength.
OPTIMIZATION GUIDE
For Conservative Trading (fewer, higher quality signals):
- Volume Threshold: 1.5
- Minimum Strength: 2.0
- Min Wick Size: 0.3
For Aggressive Trading (more signals, requires careful filtering):
- Volume Threshold: 1.1
- Minimum Strength: 1.0
- Min Wick Size: 0.15
BEST PRACTICES
Markets: Works best on liquid instruments with good volume - major forex pairs, popular stocks, liquid futures, and established cryptocurrencies.
Timeframes: Effective on all timeframes from 1-minute scalping to daily swing trading. Adjust settings based on your timeframe and trading style.
Confirmation: Never trade absorption signals in isolation. Always combine with trend analysis, market structure, and proper risk management.
Session Timing: Be aware of market sessions and avoid trading during low liquidity periods or major news events.
Backtesting: Use the historic zones feature to validate performance on your chosen market and timeframe before live trading.
CUSTOMIZATION
The indicator offers complete visual customization including zone colors, border styles, label appearances, and info panel positioning. All colors can be adapted to match your chart theme and personal preferences.
Alert system provides both basic and custom message alerts for real-time notifications of new absorption patterns.
PERFORMANCE NOTES
Default settings are optimized for most markets and timeframes. For best performance on older charts, keep "Show Historic Zones" disabled unless specifically backtesting.
The indicator maintains excellent performance even with extensive historical analysis enabled, handling up to 500 zones and 100 labels for comprehensive backtesting.
Volume-Confirmed Price Momentum# **Volume-Confirmed Price Momentum (VCPM) Indicator**
## **🔍 Overview**
Introducing the **Volume-Confirmed Price Momentum (VCPM)**, a sophisticated dual-metric indicator designed to identify high-probability momentum moves by analyzing the relationship between price action and volume dynamics. This indicator combines correlation analysis with volume strength validation to filter out weak signals and highlight institutional-backed movements.
---
## **⚙️ Core Mechanics**
**Price-Volume Correlation Engine:**
- Calculates real-time correlation between price movements and volume
- Configurable lookback period (default: 8 bars)
- Option to use price changes or absolute values
- Correlation range: -1.0 (perfect negative) to +1.0 (perfect positive)
**Volume Strength Analyzer:**
- Compares current volume against its moving average (default: 128 periods)
- Normalizes volume ratio to 0-1 scale for consistent interpretation
- Identifies when volume significantly exceeds historical norms
---
## **📊 Signal Generation**
### **🟢 Bullish Confirmation Signal**
**Trigger:** Positive correlation > 0.6 + Volume ratio > 0.5
- Price and volume moving in harmony upward
- Above-average volume confirms the move
- Indicates strong institutional buying interest
### **🔴 Bearish Confirmation Signal**
**Trigger:** Negative correlation < -0.6 + Volume ratio > 0.5
- Price declining with increasing volume
- Suggests distribution or institutional selling
- High-confidence bearish momentum
---
## **🎯 Trading Applications**
**Breakout Validation:**
Filter false breakouts by requiring volume confirmation before entering positions.
**Trend Continuation:**
Identify when existing trends have strong volume backing for continuation plays.
**Distribution Detection:**
Spot potential tops when price struggles despite high volume (negative correlation).
**Entry Timing:**
Built-in alert system notifies when both conditions align for optimal entry points.
---
## **🔧 Customization Features**
- **Correlation Period:** Adjust sensitivity (2-500 bars)
- **Volume Averaging:** Modify volume comparison timeframe
- **Alert Thresholds:** Fine-tune correlation and volume ratio triggers
- **Visual Options:** Toggle volume histogram display
- **Price Source:** Choose from OHLC or custom sources
---
## **💡 Why VCPM Works**
Traditional momentum indicators often generate false signals during low-volume periods. VCPM solves this by requiring **dual confirmation**: price momentum must be supported by corresponding volume activity. This approach:
- Reduces whipsaws and false breakouts
- Identifies institutional participation
- Provides higher conviction trade setups
- Works across all timeframes and markets
---
## **📈 Best Use Cases**
✅ **Crypto markets** (high volatility, volume-driven)
✅ **Stock breakouts** (earnings, news events)
✅ **Forex majors** (during high-impact news)
✅ **Futures trading** (momentum confirmation)
---
## **⚠️ Important Notes**
- Works best in liquid markets with consistent volume data
- Combine with support/resistance levels for enhanced accuracy
- Consider market context (trending vs. ranging conditions)
- Not recommended for extremely low-volume periods
---
## **🚀 Getting Started**
1. Add VCPM to your chart as a sub-panel indicator
2. Configure correlation threshold (start with 0.6)
3. Set volume ratio threshold (start with 0.5)
4. Enable alerts for automated signal detection
5. Backtest on your preferred timeframe and instrument
---
**Ready to enhance your momentum trading with volume confirmation? Try VCPM and experience the difference institutional-backed signals can make in your trading results.**
*Available in Pine Script v6 - Compatible with all TradingView accounts*
Sector SPDR ETFsThis script automatically identifies the SPDR sector ETF that corresponds to the currently viewed US stock ticker. It maps over 500 US-listed stocks to their respective SPDR sector ETFs — such as XLK (Technology), XLF (Financials), XLY (Consumer Discretionary), and others — based on pre-defined symbol lists.
When applied to a chart, the script displays a label below the last candle showing the SPDR sector symbol (e.g., "XLE" for Energy stocks like XOM). This allows traders and investors to quickly understand the sector classification of any stock they analyze.
Key Features:
Maps tickers to SPDR sector ETFs: XLC, XLY, XLP, XLE, XLF, XLV, XLI, XLB, XLRE, XLK, and XLU.
Displays the corresponding sector label on the chart.
Helpful for sector rotation strategies, macro analysis, or thematic investing.
MTF Candles [Fadi x MMT]MTF Candles
Overview
The MTF Candles indicator is a powerful tool designed for traders who want to visualize higher timeframe (HTF) candles directly on their current chart. Built with flexibility and precision in mind, this Pine Script indicator displays up to six higher timeframe candles, complete with customizable styling, sweeps, midpoints, fair value gaps (FVGs), volume imbalances, and trace lines. It’s perfect for multi-timeframe analysis, helping traders identify key levels, market structure, and potential trading opportunities with ease.
Key Features
- Multi-Timeframe Candles : Display up to six higher timeframe candles (e.g., 5m, 15m, 30m, 4H, 1D, 1W) on your chart, with configurable timeframes and visibility.
- Sweeps Detection : Identify liquidity sweeps (highs/lows) with customizable line styles, widths, and colors, plus optional alerts for confirmed bullish or bearish sweeps.
- Midpoint Lines : Plot the midpoint (average of high and low) of the previous HTF candle, with customizable color, width, and style for enhanced market analysis.
- Fair Value Gaps (FVGs) : Highlight gaps between non-adjacent candles, indicating potential areas of interest for price action.
- Volume Imbalances : Detect and display volume imbalances between adjacent candles, aiding in spotting significant price levels.
- Trace Lines : Connect HTF candle open, close, high, and low prices to their respective chart bars, with customizable styles and optional price labels.
- Custom Daily Open Times : Support for custom daily candle open times (Midnight, 8:30, or 9:30) to align with specific market sessions.
- Dynamic Labels : Show timeframe names, remaining time until the next HTF candle, and interval labels (e.g., day of the week for daily candles) with adjustable positions and sizes.
- Highly Customizable : Fine-tune candle appearance, spacing, padding, and visual elements to suit your trading style.
How It Works
The indicator renders HTF candles as boxes (bodies) and lines (wicks) on the right side of the chart, with each timeframe offset for clarity. It dynamically updates candles in real-time, tracks their highs and lows, and displays sweeps and midpoints when conditions are met. FVGs and volume imbalances are calculated based on candle relationships, and trace lines link HTF candle levels to their originating bars on the chart.
Sweep Logic
- A bearish sweep occurs when the current candle’s high exceeds the previous candle’s high, but the close is below it.
- A bullish sweep occurs when the current candle’s low falls below the previous candle’s low, but the close is above it.
- Sweeps are visualized as horizontal lines and can trigger alerts when confirmed on the next candle.
Midpoint Logic
- A midpoint line is drawn at the average of the previous HTF candle’s high and low, extending until the next HTF candle forms.
- Useful for identifying potential support/resistance or mean reversion levels.
Imbalance Detection
- FVGs : Identified when a candle’s low is above the next-but-one candle’s high (or vice versa), indicating a price gap.
- Volume Imbalances : Detected between adjacent candles where the body of one candle doesn’t overlap with the next, signaling potential liquidity zones.
Settings
Timeframe Settings
- HTF 1–6 : Enable/disable up to six higher timeframes (default: 5m, 15m, 30m, 4H, 1D, 1W) and set the maximum number of candles to display per timeframe (default: 4).
- Limit to Next HTFs : Restrict the number of active timeframes (1–6).
Styling
- Body, Border, Wick Colors : Customize bull and bear candle colors (default: light gray for bulls, dark gray for bears).
- Candle Width : Adjust the width of HTF candles (1–4).
- Padding and Spacing : Set the offset from the current price action and spacing between candles and timeframes.
Label Settings
- HTF Label : Show/hide timeframe labels (e.g., "15m", "4H") at the top/bottom of candle sets.
- Remaining Time : Display the countdown to the next HTF candle.
Interval Value: Show day of the week for daily candles or time for intraday candles.
- Label Position/Alignment : Choose to display labels at the top, bottom, or both, and align them with the highest/lowest candles or follow individual candle sets.
Imbalance Settings
- Fair Value Gap : Enable/disable FVGs with customizable color (default: semi-transparent gray).
- Volume Imbalance : Enable/disable volume imbalances with customizable color (default: semi-transparent red).
Trace Settings
- Trace Lines : Enable/disable lines connecting HTF candle levels to their chart bars, with customizable colors, styles (solid, dashed, dotted), and sizes.
- Price Labels : Show price levels for open, close, high, and low trace lines.
- Anchor : Choose whether trace lines anchor to the first or last enabled timeframe.
Sweep Settings
- Show Sweeps : Enable/disable sweep detection and visualization.
- Sweep Line : Customize color, width, and style (solid, dashed, dotted).
- Sweep Alert : Enable alerts for confirmed sweeps.
Midpoint Settings
- Show Midpoint : Enable/disable midpoint lines.
- Midpoint Line : Customize color (default: orange), width, and style (solid, dashed, dotted).
Custom Daily Open
Custom Daily Candle Open : Choose between Midnight, 8:30, or 9:30 (America/New_York) for daily candle opens.
Usage
- Add the indicator to your TradingView chart.
- Configure the desired higher timeframes (HTF 1–6) and enable/disable features via the settings panel.
- Adjust styling, labels, and spacing to match your chart preferences.
Use sweeps, midpoints, FVGs, and volume imbalances to identify key levels for trading decisions.
- Enable sweep alerts to receive notifications for confirmed liquidity sweeps.
Notes
Performance: The indicator is optimized for up to 500 boxes, lines, and labels, with a maximum of 5000 bars back. Can be slow at a time
Time Zone: Custom daily opens use the America/New_York time zone for consistency with major financial markets.
Compatibility: Ensure selected HTFs are valid (higher than the chart’s timeframe and divisible by it for intraday periods).
