Smart Money Scalper v1 [Structure | VIDYA | Oscillator | Delta]🧠 What’s Included in the Core Module:
Component Description-
🔹 Trend Structure + Bias- Detect BoS/ChoCH from Lux-style logic to define bullish/bearish intent.
🟩 Key Level Mapping Structure- based support/resistance and smart money reaction zones.
🔺 VIDYA Slope Filter- Detects smart money accumulation via adaptive volume/trend shifts.
🔸 Two Pole Oscillator- Fast trend strength + direction change confirmation.
🧃 Delta Volume Pressure- Measures real buy/sell aggression (accumulation vs distribution).
🚫 No Trade Zone Logic- Triggers in low volatility, mixed signals, or structure uncertainty.
📊 Bias Labels & Arrows- Display directional bias, trade zones, and visual entries only when clear.
📈 What You’ll See on Chart-
- Key structure swing highs/lows.
- Bull/Bear bias labels (top left).
- Buy/Sell arrows only when all smart money confirmations align.
- Gray zones showing no-trade periods (chop, conflict, low delta).
Trend Analysis
Multi-Ticker TableMulti-Ticker Table
A customizable TradingView indicator that displays a clean, organized table of up to 10 user-defined ticker symbols with their current daily price, daily dollar change, and daily percentage change.
Key features include:
Enable/disable individual tickers with custom symbols
Customizable font sizes and colors for header and body rows
Customizable table background colors for header and data rows
Flexible table positioning anywhere on the chart (top/middle/bottom × left/center/right)
Highlights positive changes in green and negative changes in red for quick visual analysis
Hides chart candles to display the table as a standalone dashboard
Ideal for traders who want a quick, at-a-glance summary of multiple markets or instruments without cluttering the chart.
CPR by myBiniyogCPR by myBiniyog
Purpose:
Clearly plots the Central Pivot Range (CPR), Support, and Resistance levels daily, weekly, and monthly (optional). CPR levels help intraday traders identify potential market direction, trends, and reversal points. CPR lines plotted clearly (blue), Support levels (green), and Resistance levels (red).
Calculation Method:
Pivot (P) = (High + Low + Close) / 3
Bottom Central (BC) = (High + Low) / 2
Top Central (TC) = Pivot + (Pivot - BC)
Support (S1-S3) and Resistance (R1-R3) levels calculated traditionally from pivot formulas.
Uniqueness & Originality:
Fully original script combining multi-timeframe (Daily/Weekly/Monthly) pivots.
Unique, clear visual representation designed for ease of use.
Closed-source to protect custom visual style and original logic.
Recommended Timeframes:
For optimal clarity and performance, use on 5-minute, 10-minute, or 15-minute intraday charts.
Compliance Statement:
Fully compliant with TradingView House Rules. Original work, not derived from publicly available scripts.
Spot Overlapping FVG - [FNDSFT]🧠 Overview
This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (1D–12M) has its own independent toggle, custom label, and box styling, allowing traders to analyze broader market structures across swing and long-term horizons.
🎯 Features
✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa).
✅ Plots HTF FVG boxes aligned to lower timeframes for comprehensive multi-timeframe analysis.
✅ Supports custom timeframes: 1D to 12M, with individual toggles.
✅ Full visual customization: border color, bullish/bearish box opacity, label font size and color.
✅ Modular inputs to enable or disable specific timeframes for performance.
✅ Uses barstate.isconfirmed logic for stable, non-repainting plots.
⚙️ How It Works
The script requests higher timeframe data via request.security. For each confirmed bar, it checks for FVGs based on:
Bullish FVG: low >= high
Bearish FVG: low >= high
If a gap is detected, a box is plotted between candle 1 and candle 3 using box.new().
Timeframe toggles ensure calculations remain within the limit of 40 request.security calls.
📈 Use Cases
Swing traders analyzing daily to monthly imbalances for medium-term strategies.
Position traders seeking to identify long-term imbalance zones for entries or exits.
ICT methodology practitioners visualizing higher timeframe displacement and inefficiencies.
Traders layering multiple HTF FVGs to build confluence-based trading decisions.
Overlapping FVG - [FNDSFT]🧠 Overview
This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (30s–15m) has its own independent toggle, custom label, and box styling, allowing traders to analyze market structures in detail.
🎯 Features
✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa).
✅ Plots HTF FVG boxes aligned to lower timeframes for intraday analysis.
✅ Supports custom timeframes: 30s to 15m, with individual toggles.
✅ Full visual customization: border color, bullish/bearish box opacity, label font size and color.
✅ Modular inputs to enable or disable specific timeframes for performance.
✅ Uses barstate.isconfirmed logic for stable, non-repainting plots.
⚙️ How It Works
The script requests higher timeframe data via request.security. For each confirmed bar, it checks for FVGs based on:
Bullish FVG: low >= high
Bearish FVG: low >= high
If a gap is detected, a box is plotted between candle 1 and candle 3 using box.new().
Timeframe toggles ensure calculations remain within the limit of 40 request.security calls.
📈 Use Cases
Scalpers and intraday traders analyzing microstructure.
ICT methodology practitioners visualizing displacement and inefficiencies.
Traders layering multiple FVG timeframes for confluence.
D2E (Distance to EMA)D2E (Distance to EMA) measures how far price is from its daily Exponential Moving Average (EMA), both as a percentage and in dollar terms. It helps traders quickly assess how extended price is from its mean, making it useful for spotting overbought/oversold conditions, pullback opportunities, or trend exhaustion.
The indicator optionally plots threshold zones as bands on the chart: yellow lines mark a standard deviation based on a user-defined % distance, while red lines flag more extreme moves. When price crosses these thresholds, it may suggest potential reversals or continuation depending on context.
A compact on-chart table shows the current EMA, % deviation, and dollar difference from price. Text color changes based on how far price has moved—green (normal), yellow (near threshold), or red (beyond extreme).
Customizable settings include:
• EMA Length (default 20)
• Threshold % and Extreme Threshold %
• Table Position (top/bottom left/right)
• Table Font Size (Tiny to Huge)
Threshold lines are hidden by default but can be toggled on via the Style tab, where you can also adjust their color and thickness.
Built-in alert conditions are included for when price crosses above or below either threshold level.
MTPI SOL | JeffreyTimmermansMedium-Term Trend Probability Indicator
The "Medium-Term Trend Probability Indicator" on SOL (Solana) is a custom-built tool designed to analyze Solana (SOL) from a medium-term perspective. Unlike short-term indicators that react quickly to intraday volatility or long-term models that focus on macro cycles, the MTPI is optimized to detect medium-term market trends—capturing key turning points and momentum shifts that unfold over multiple weeks.
This version of the MTPI is applied to SOL, making it a Solana-specific trend-following tool with particular sensitivity to its price behavior and structural dynamics.
Key Features
Medium-Term Focus:
Built to monitor price action over several weeks to months, the MTPI filters out short-term noise while remaining responsive to meaningful trend changes.
8 Input Signals:
The MTPI aggregates 8 carefully selected trend-following inputs, each tuned to reflect mid-cycle behavior in SOL’s price movements.
Market Regimes:
The MTPI classifies market behavior into one of three clear regimes:
Bullish → Momentum and structure align to support a continued uptrend
Bearish → Majority of signals point to trend deterioration or downside momentum
Neutral → Mixed signals, often during consolidation or early transition phases
Visual Background:
The background color shifts dynamically to reflect the active regime—making it easy to visually interpret the prevailing market condition.
Comprehensive Dashboard:
The lower panel displays:
The state of each individual input (Bullish, Bearish, Neutral)
The numerical MTPI Score (average of all 8 signals)
The final Trend Classification (Bullish / Bearish / Neutral)
How It Works
Input Analysis:
Each of the 8 inputs outputs a score based on its internal signal:
+1 = Bullish condition
-1 = Bearish condition
0 = Neutral / indecisive
Score Calculation:
The MTPI Score is calculated as the average of all 8 input signals:
Score > +0.1 = Bullish regime
Score < -0.1 = Bearish regime
Score between -0.1 and +0.1 = Neutral regime
Background Coloring:
Color-coded backgrounds instantly reflect the current trend classification based on the MTPI Score, helping traders stay aligned with the market direction at all times.
Use Cases
Mid-Term Positioning:
Identify strong trend phases on SOL with reduced noise and increased directional clarity.
Confirmation Layer:
Use MTPI as a mid-term confirmation tool alongside short-term setups or long-term macro models (like LTPI).
Rotation or Transition Detection:
Spot key moments when SOL transitions from expansion to contraction phases (and vice versa).
Dynamic Alerts:
Bullish Signal: MTPI Score crosses above +0.1
Bearish Signal: MTPI Score crosses below -0.1
Neutral Zone: MTPI Score enters between -0.1 and +0.1
Conclusion
The Medium-Term Trend Probability Indicator (MTPI – SOL) provides a powerful framework for identifying trend phases on Solana with mid-term relevance. By combining 8 intelligent inputs into a single score and market classification, it offers clarity in times of uncertainty and confidence in times of momentum. Whether used alone or as part of a broader multi-timeframe strategy, the MTPI helps refine entries, exits, and macro alignment in the dynamic world of Solana trading.
Mohammad - Auto TrendLinesMohammad - Auto TrendLines
Overview
An advanced automatic trendline detection system that identifies and draws both major and minor trendlines based on pivot highs and lows. This indicator uses sophisticated algorithms to detect market structure and automatically plot relevant trendlines, helping traders identify key support and resistance levels without manual chart analysis.
Key Features
Automatic Detection: Identifies pivot points and connects them to form trendlines without manual intervention
Multi-Level Analysis: Distinguishes between Major and Minor trendlines, both External and Internal
Smart Validation: Only draws trendlines that haven't been violated by price action
Comprehensive Alerts: 16 different alert conditions for breaks and reactions to trendlines
Fully Customizable: Complete control over colors, styles, widths, and display preferences for each trendline type
How It Works
The indicator uses a ZigZag algorithm with configurable pivot periods to identify significant highs and lows. It then connects these points to form trendlines, validating them against historical price action to ensure they remain relevant. The system categorizes trendlines into Major/Minor and External/Internal based on their significance in the market structure.
Use Cases
This indicator is particularly useful for:
Identifying trend continuations and potential reversals
Finding optimal entry and exit points based on trendline breaks
Setting stop-loss levels using trendline support/resistance
Confirming trade setups with multiple timeframe analysis
Automating trendline detection for systematic trading strategies
Settings/Parameters
Pivot Period: Controls the sensitivity of pivot detection (default: 5)
Display Options: Toggle visibility for each of the 8 trendline types
Style Customization: Adjust color, line style, width, and extension for each trendline
Alert Configuration: Enable/disable alerts for breaks and reactions to each trendline type
Delete Previous: Option to remove old trendlines when new ones are formed
How to Use
Add the indicator to your chart and adjust the Pivot Period based on your trading timeframe
Configure which trendline types you want to display (Major/Minor, External/Internal, Up/Down)
Set up alerts for the specific trendline interactions you want to monitor
Look for price reactions at trendlines for potential trade entries
Use trendline breaks as confirmation for trend changes
Signals
Break Alerts: Triggered when price closes beyond a trendline
React Alerts: Triggered when price touches but respects a trendline
Major External: Most significant trendlines based on major pivot points
Major Internal: Secondary major trendlines within the trend structure
Minor External: Short-term trendlines for intraday movements
Minor Internal: Smallest scale trendlines for precise entries
Trendline Types Explained
Up Trendlines: Connect ascending lows, act as support
Down Trendlines: Connect descending highs, act as resistance
External: Connect the outermost pivots
Internal: Connect pivots within the major structure
Best Timeframes
Works effectively on all timeframes:
Scalping: 1m, 5m, 15m charts
Day Trading: 15m, 1H, 4H charts
Swing Trading: 4H, Daily, Weekly charts
Position Trading: Daily, Weekly, Monthly charts
Important Notes
The indicator repaints trendlines as new pivots form - this is by design to maintain accuracy
Historical trendlines that have been broken are automatically extended to show past levels
Use multiple timeframe analysis for best results
Combine with other indicators for trade confirmation
Always use proper risk management
Alert Integration
This indicator uses the TradingFinder Alert Library for enhanced alert functionality, providing detailed notifications for all trendline interactions.
Version History
v6: Current version with full alert integration and enhanced trendline validation
Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management when trading.
Note: This is an overlay indicator that draws directly on your price chart. Ensure you have sufficient chart history loaded for optimal performance.
<162> 25_0804 MACD + ICHIMOKU + DONCHIAN"This script is a simple yet powerful indicator. It modifies and presents well-known traditional indicators—MACD, Ichimoku, and Donchian Channel—according to my preferences. It can be used for everything from 1-minute scalping to daily swing trading and even long-term investing."
Gold AI Smart Liquidity structure Signal SMC MA Title: Gold AI Smart Liquidity Signal SMC hull protected
Description:
Indicator Philosophy and Originality:
This indicator is not merely a collection of separate tools, but an integrated trading framework designed to improve decision-making by ensuring signal confluence. The core philosophy is that high-probability trading signals occur when multiple, distinct analysis methodologies align.
The originality of this script lies in how it systematically combines a leading signal (the Liquidity Breakout) with lagging confirmation tools (the Classic Filters and the Hull MA). A user can see a primary breakout signal and immediately validate its strength against the broader trend defined by the Hull MA and the specific conditions of the classic filters. This synergy, where different components work together to validate a single event, is the primary value and reason for this mashup. It provides a structured, multi-layered confirmation process within a single tool, which is not achievable by adding these indicators separately to the chart.
This indicator is a comprehensive technical analysis tool designed to identify potential trading opportunities and provide supplemental trend analysis. It features a primary signal engine based on pivot trendline breakouts, a sophisticated confirmation layer using classic technical indicators, and two separate modules for discretionary analysis: an ICT-based structure plotter and a highly customizable Hull Moving Average (HMA). This document provides a detailed, transparent explanation of all underlying logic.
1. Core Engine: Pivot-Based Liquidity Trendline Signals
The indicator's foundational signal is generated from a custom method we call "Liquidity Trendlines," which aims to identify potential shifts in momentum.
How It Works:
The script first identifies significant swing points in the price using the ta.pivothigh() and ta.pivotlow() functions.
It then draws a trendline connecting consecutive pivot points.
A "Liquidity Breakout" signal (liquidity_plup for buy, liquidity_pldn for sell) is generated when the price closes decisively across this trendline, forming the basis for a potential trade.
2. The Signal Confirmation Process: Multi-Layered Filtering System
A raw Liquidity Breakout signal is only a starting point. To enhance reliability, the signal must pass through a series of user-enabled filters. A final Buy or Sell signal is only plotted if all active filter conditions are met simultaneously.
General & Smart Trend Filters: Use a combination of EMAs, DMI (ADX), and market structure to define the trend. Signals must align with the trend to be valid.
RSI & MACD Filters: Used for momentum confirmation (e.g., MACD line must be above its signal line for a buy).
ATR (Volatility) Filter: Ensures trades are considered only when market volatility is sufficient.
Support & Resistance (S&R) Filter: Blocks signals forming too close to key S&R zones.
Higher Timeframe (HTF) Filter: Provides confluence by checking that the trend on higher timeframes aligns with the signal.
3. Visual Aid 1: ICT-Based Structure & Premium/Discount Zones
This module is for visual and discretionary analysis only and does not directly influence the automated Buy/Sell signals.
ICT Market Structure: Plots labels for Change of Character (CHoCH), Shift in Market Structure (SMS), and Break of Market Structure (BMS). This is based on a Donchian-channel-like logic that tracks the highest and lowest price over a user-defined period (ict_prd) to identify structural shifts.
ICT Premium & Discount Zones: When enabled, it draws colored zones on the chart corresponding to Premium, Discount, and Equilibrium levels, calculated from the range over the defined ICT period.
4. Visual Aid 2: Hull Moving Average (HMA) Integration
This is another independent tool for trend analysis, offering significant customization. It does not affect the primary Buy/Sell signals but has its own alerts and serves as a powerful visual confirmation layer.
Hull Variations: Users can choose between three types of Hull-style moving averages: HMA (Hull Moving Average), THMA (Triple Hull Moving Average), and EHMA (Exponential Hull Moving Average).
Customization: The length, source, and a length multiplier are fully adjustable. It can also be configured to display the Hull MA from a higher timeframe.
Visuals: The Hull MA can be displayed as a simple line or a colored band. The color can be set to change based on the Hull's slope, providing an at-a-glance view of the trend. This color can also be applied to the chart's candles.
Alerts: Separate alerts can be configured for when the Hull MA crosses over or under its delayed version (ta.crossover(MHULL, SHULL)), signaling a change in its momentum.
5. Risk Management & Additional Features
TP/SL Calculations: Automatically calculates Take Profit (TP) and Stop Loss (SL) levels for every valid signal based on the Average True Range (ATR).
Multi-Timeframe (MTF) Scanner: A dashboard that monitors and displays the final Buy/Sell signal status across multiple timeframes.
Session Filter & Alerts: Allows for restricting trades to specific market sessions and configuring alerts for any valid signal.
By combining breakout detection with a rigorous confirmation process and supplemental analysis tools, this indicator provides a structured and transparent approach to trading.
SY_Quant_AI_Trend.2.0✅ English Description (Safe Minimal Version)
SY_Quant_AI_Trend 2.0 — Multi-Factor Trend Analysis Toolkit
This indicator combines trend detection, structure recognition, and visual overlays to assist traders in analyzing market dynamics.
It integrates common techniques in a simplified form for research and chart-based strategy development.
Order Block Identifier Order block = areas where institutions might have entered/exit. These areas can be retested.
Supply & Demand Pro [Institutional]🎯 Overview
The most comprehensive Supply & Demand indicator on TradingView, designed for serious traders and prop firm professionals. Unlike traditional S&D indicators that just draw pretty zones, this system tracks actual performance metrics, provides entry/exit signals, and includes professional risk management tools.
❓ Why This Indicator?
After extensive research into what traders actually need (not just want), this indicator addresses the TOP complaints about Supply & Demand trading:
- ❌ "I don't know which zones to trust" → ✅ Each zone shows historical win rate
- ❌ "No clear entry/exit rules" → ✅ Multiple entry methods with visual R:R
- ❌ "Can't backtest effectiveness" → ✅ Full performance tracking
- ❌ "Too many false signals" → ✅ Quality filters and volume validation
🚀 Key Features
🎯 Professional Zone Detection
- Volume Profile Analysis (finds institutional accumulation/distribution)
- Swing Point Detection (classic pivot-based zones)
- Order Flow Analysis (coming in v2)
- Hybrid Mode (combines multiple methods)
📊 Performance Analytics
- Individual zone win rates
- Daily P&L tracking
- Account balance simulation
- Success/failure ratio for each zone
- Historical performance data
💼 Prop Firm Tools
- Daily loss limits (auto-stops trading)
- Position sizing controls
- Maximum concurrent positions
- Daily profit targets
- Clean reporting for evaluations
🎨 Entry & Risk Management
- Zone Edge entry (immediate)
- 50% Retracement entry (patient)
- Momentum Confirmation entry
- Visual Risk:Reward boxes
- Multiple stop loss methods (ATR, Fixed %, Zone-based)
📈 Advanced Features
- Auto-removes failed zones
- Volume confirmation requirements
- Strength-based zone ranking
- Smart alerts for high-probability setups
- Multi-timeframe compatibility
📋 How It Works
1. Zone Creation: Continuously scans for high-quality supply/demand zones using your selected method
2. Quality Filtering: Each zone must pass strength, volume, and historical performance filters
3. Visual Feedback: Zones display strength %, test count, and win rate directly on chart
4. Trade Signals: When price touches a zone, the system calculates entry, stop, and target
5. Performance Tracking: Every zone touch is tracked to build historical win rates
⚙️ Quick Settings Guide
For Beginners:
- Detection Method: "Swing Points"
- Min Zone Strength: 15%
- Risk:Reward: 2:1
- Entry Method: "Zone Edge"
For Advanced Traders:
- Detection Method: "Volume Profile"
- Min Zone Strength: 20%
- Min Win Rate: 50%
- Entry Method: "Momentum Confirm"
For Prop Firm Traders:
- Enable all Prop Firm Tools
- Set Daily Loss Limit to your drawdown rules
- Max Positions: 2-3
- Use "Professional" theme for screenshots
📊 What Makes This Different?
Traditional S&D Indicators:
- Draw zones based on one method
- No performance tracking
- No entry/exit rules
- Can't verify effectiveness
Supply & Demand Pro:
- Multiple detection methods
- Tracks win rate for EVERY zone
- Clear entry/exit signals
- Full backtesting capability
- Risk management built-in
🎓 Best Practices
1. Start Conservative: Use higher strength requirements (20%+) until familiar
2. Trust the Data: Zones with 3+ tests and 60%+ win rate are golden
3. Respect Risk Limits: The daily loss limit feature will save your account
4. Volume Matters: Zones with volume confirmation are significantly stronger
5. Be Patient: Wait for high-probability setups (check the win rate!)
🔔 Alert Options
- Zone Touch Alerts (with strength & win rate)
- High Probability Setups (60%+ win rate zones)
- Daily Limit Warnings
- Risk Management Alerts
💡 Pro Tips
- Combine with market structure for best results
- Higher timeframe zones are more reliable
- Watch for zones that align with round numbers
- Use partial profits feature to lock in gains
- Review daily performance to improve
🐛 Troubleshooting
- No zones appearing? → Lower Min Zone Strength to 10%
- Too many zones? → Increase strength requirement or enable filters
- Win rates not updating? → Zones need multiple tests to calculate
⚡ Performance Note
This indicator uses advanced calculations and may take a moment to load on lower-end devices. The comprehensive analytics are worth the wait!
🎁 Bonus Features
- 4 Professional themes
- Customizable dashboard
- R:R visualization
- Zone strength ranking
- Session-based filtering (coming soon)
📧 Support & Updates
This is an actively maintained indicator. Updates include:
- New detection methods
- Enhanced analytics
- Community-requested features
- Performance optimizations
⭐ If you find this indicator helpful, please leave a rating and comment with your results!
📌 Remember: No indicator is perfect. Always use proper risk management and never risk more than you can afford to lose.
ZigZag Volume Profile [ChartPrime]⯁ OVERVIEW
ZigZag Volume Profile combines swing structure with volume analytics by plotting a ZigZag of major price swings and overlaying a detailed volume profile around each swing. At the end of each swing, it highlights the Point of Control (POC) — the price level with the highest traded volume — and extends it forward to identify key areas of potential support or resistance.
⯁ KEY FEATURES
ZigZag Swing Detection:
Automatically detects swing highs and lows based on a user-defined length, creating clean visual segments of market structure.
These segments act as boundaries for volume profile calculations.
swingHigh = ta.highest(swingLength)
swingLow = ta.lowest(swingLength)
ZigZag Channel Visualization:
The ZigZag structure is connected with sloped lines, forming a visual “channel” of the price movement.
The ZigZag can optionally, scaled by ATR.
Volume Profile Around Each Swing:
For every completed swing (high to low or low to high), the indicator constructs a full volume profile using user-defined bin counts.
It scans volume across price levels in the swing and plots histogram-style bins using a gradient color to indicate volume magnitude.
Dynamic Bin Width and Slope Adjustment:
Bins are distributed across a vertical ATR-based range, and their width is adjusted based on the percentage of total swing volume.
The volume fill direction is adapted to the swing’s slope for visually aligned plotting.
POC Detection and Extension:
The highest volume bin in each swing is identified as the Point of Control (POC).
This level is plotted with a thicker line and extended horizontally into the future as a key reaction level.
Automatic POC Expiry on Price Interaction:
POC lines are continuously extended unless breached by price.
When price crosses the POC level, the extension is terminated — signaling that the level may have been absorbed.
Clean Volume Bin Visualization:
Bin colors range from green (low volume) to blue (higher volume), with the POC always marked in red by default for easy identification.
Volume percentages are optionally labeled at each bin level.
Flexible Swing Profile Parameters:
Users can control:
Number of volume bins
Bin width
Channel width (ATR factor)
Visibility of the swing channel or POC lines
Efficient Memory Handling:
Old POC lines and volume profiles are automatically removed from memory after a threshold to keep charts clean and performant.
⯁ USAGE
Use ZigZag swings to define market structure visually.
Analyze volume profile around each swing to understand where most trading activity occurred.
Use POC extensions as dynamic support/resistance zones for entries, stops, or take-profits.
Watch for price interaction with extended POC lines — breaks may suggest absorbed liquidity or breakout potential.
Use the ATR-based channel width to adapt profiles based on market volatility.
⯁ CONCLUSION
ZigZag Volume Profile offers a powerful fusion of structure and volume. By plotting detailed volume profiles over each price swing and extending the POC as actionable S/R levels, this tool provides deep insight into market participation zones — giving traders a tactical edge in both ranging and trending environments.
UT Bot Confirmed Edition by 相棒This is a high-precision indicator combining UT Bot and QQE MOD, designed for trend detection and confirmed logic.
It is optimized for Gold and USDJPY on the 5-minute and 1-minute timeframes.
Also compatible with other pairs and timeframes.
The Buy/Sell signals use Confirmed Logic to filter out noise and assist with reliable and practical entry decisions.
This is an invite-only script.
To use this script, authorization from the author is required.
Basic ORB [MOT]Basic ORB – Opening Range Breakout Tool
The Basic ORB is a visual tool designed to assist intraday traders by identifying the opening range from 9:30–9:45 AM ET. It automatically plots the high, low, and midpoint of this range to help traders analyze potential areas of interest.
This script provides a simple and customizable way to frame market structure during the early trading session. It is intended to support various intraday strategies across multiple asset classes including futures, stocks, ETFs, indexes, and crypto.
🔹 Key Features
1. Opening Range Levels
- Automatically plots the High, Low, and Midline of the 9:30–9:45 AM ET session.
- Midline helps visualize the midpoint of the range.
- Customizable colors and line thickness.
2. Previous ORB Ranges
- Option to display previous days’ ORB levels for visual pattern recognition.
- Useful for spotting recurring reactions to prior day levels.
3. Dynamic Price Labels
- Adds price labels to each ORB line for quick reference.
- Fully customizable: adjust text size, background color, label position, and offset.
4. Clean Settings Panel
- Customize all visual elements to match your charting style.
- Control how many previous ORBs to display.
- Toggle features on or off for a simplified interface.
🧠 How to Use
- Best viewed on 1m, 5m, or 15m charts.
- Combine with your existing entry/exit criteria to monitor how price interacts with the opening range.
- Common use cases include breakout confirmation, rejection trades, and support/resistance analysis based on prior ORBs.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Trading carries risk, and users should test any tools in a demo environment before live use. Always implement proper risk management.
Choch Pattern Levels [BigBeluga] + AlertsThis version of Choch Pattern Levels includes built-in alert conditions for both ChoCh Up and ChoCh Down patterns. You can now set TradingView alerts directly when either pattern occurs, with optional visual markers (triangles) plotted on the chart.
Based on the original script by BigBeluga, licensed under CC BY-NC-SA 4.0. This is a modified version with alert conditions added.
Hann Window FIR Filter Ribbon [BigBeluga]🔵 OVERVIEW
The Hann Window FIR Filter Ribbon is a trend-following visualization tool based on a family of FIR filters using the Hann window function. It plots a smooth and dynamic ribbon formed by six Hann filters of progressively increasing length. Gradient coloring and filled bands reveal trend direction and compression/expansion behavior. When short-term trend shifts occur (via filter crossover), it automatically anchors visual support/resistance zones at the nearest swing highs or lows.
🔵 CONCEPTS
Hann FIR Filter: A finite impulse response filter that uses a Hann (cosine-based) window for weighting past price values, resulting in a non-lag, ultra-smooth output.
hannFilter(length)=>
var float hann = na // Final filter output
float filt = 0
float coef = 0
for i = 1 to length
weight = 1 - math.cos(2 * math.pi * i / (length + 1))
filt += price * weight
coef += weight
hann := coef != 0 ? filt / coef : na
Ribbon Stack: The indicator plots 6 Hann FIR filters with increasing lengths, creating a smooth "ribbon" that adapts to price shifts and visually encodes volatility.
Gradient Coloring: Line colors and fill opacity between layers are dynamically adjusted based on the distance between the filters, showing momentum expansion or contraction.
Dynamic Swing Zones: When the shortest filter crosses its nearest neighbor, a swing high/low is located, and a triangle-style level is anchored and projected to the right.
Self-Extending Levels: These dynamic levels persist and extend until invalidated or replaced by a new opposite trend break.
🔵 FEATURES
Plots 6 Hann FIR filters with increasing lengths (controlled by Ribbon Size input).
Automatically colors each filter and the fill between them with smooth gradient transitions.
Detects trend shifts via filter crossover and anchors visual resistance (red) or support (green) zones.
Support/resistance zones are triangle-style bands built around recent swing highs/lows.
Levels auto-extend right and adapt in real time until invalidated by price action.
Ribbon responds smoothly to price and shows contraction or expansion behavior clearly.
No lag in crossover detection thanks to FIR architecture.
Adjustable sensitivity via Length and Ribbon Size inputs.
🔵 HOW TO USE
Use the ribbon gradient as a visual trend strength and smooth direction cue.
Watch for crossover of shortest filters as early trend change signals.
Monitor support/resistance zones as potential high-probability reaction points.
Combine with other tools like momentum or volume to confirm trend breaks.
Adjust ribbon thickness and length to suit your trading timeframe and volatility preference.
🔵 CONCLUSION
Hann Window FIR Filter Ribbon blends digital signal processing with trading logic to deliver a visually refined, non-lagging trend tool. The adaptive ribbon offers insight into momentum compression and release, while swing-based levels give structure to potential reversals. Ideal for traders who seek smooth trend detection with intelligent, auto-adaptive zone plotting.
Time-Decaying Percentile Oscillator [BackQuant]Time-Decaying Percentile Oscillator
1. Big-picture idea
Traditional percentile or stochastic oscillators treat every bar in the look-back window as equally important. That is fine when markets are slow, but if volatility regime changes quickly yesterday’s print should matter more than last month’s. The Time-Decaying Percentile Oscillator attempts to fix that blind spot by assigning an adjustable weight to every past price before it is ranked. The result is a percentile score that “breathes” with market tempo much faster to flag new extremes yet still smooth enough to ignore random noise.
2. What the script actually does
Build a weight curve
• You pick a look-back length (default 28 bars).
• You decide whether weights fall Linearly , Exponentially , by Power-law or Logarithmically .
• A decay factor (lower = faster fade) shapes how quickly the oldest price loses influence.
• The array is normalised so all weights still sum to 1.
Rank prices by weighted mass
• Every close in the window is paired with its weight.
• The pairs are sorted from low to high.
• The cumulative weight is walked until it equals your chosen percentile level (default 50 = median).
• That price becomes the Time-Decayed Percentile .
Find dispersion with robust statistics
• Instead of a fragile standard deviation the script measures weighted Median-Absolute-Deviation about the new percentile.
• You multiply that deviation by the Deviation Multiplier slider (default 1.0) to get a non-parametric volatility band.
Build an adaptive channel
• Upper band = percentile + (multiplier × deviation)
• Lower band = percentile – (multiplier × deviation)
Normalise into a 0-100 oscillator
• The current close is mapped inside that band:
0 = lower band, 50 = centre, 100 = upper band.
• If the channel squeezes, tiny moves still travel the full scale; if volatility explodes, it automatically widens.
Optional smoothing
• A second-stage moving average (EMA, SMA, DEMA, TEMA, etc.) tames the jitter.
• Length 22 EMA by default—change it to tune reaction speed.
Threshold logic
• Upper Threshold 70 and Lower Threshold 30 separate standard overbought/oversold states.
• Extreme bands 85 and 15 paint background heat when aggressive fade or breakout trades might trigger.
Divergence engine
• Looks back twenty bars.
• Flags Bullish divergence when price makes a lower low but oscillator refuses to confirm (value < 40).
• Flags Bearish divergence when price prints a higher high but oscillator stalls (value > 60).
3. Component walk-through
• Source – Any price series. Close by default, switch to typical price or custom OHLC4 for futures spreads.
• Look-back Period – How many bars to rank. Short = faster, long = slower.
• Base Percentile Level – 50 shows relative position around the median; set to 25 / 75 for quartile tracking or 90 / 10 for extreme tails.
• Deviation Multiplier – Higher values widen the dynamic channel, lowering whipsaw but delaying signals.
• Decay Settings
– Type decides the curve shape. Exponential (default 1.16) mimics EMA logic.
– Factor < 1 shrinks influence faster; > 1 spreads influence flatter.
– Toggle Enable Time Decay off to compare with classic equal-weight stochastic.
• Smoothing Block – Choose one of seven MA flavours plus length.
• Thresholds – Overbought / Oversold / Extreme levels. Push them out when working on very mean-reverting assets like FX; pull them in for trend monsters like crypto.
• Display toggles – Show or hide threshold lines, extreme filler zones, bar colouring, divergence labels.
• Colours – Bullish green, bearish red, neutral grey. Every gradient step is automatically blended to generate a heat map across the 0-100 range.
4. How to read the chart
• Oscillator creeping above 70 = market auctioning near the top of its adaptive range.
• Fast poke above 85 with no follow-through = exhaustion fade candidate.
• Slow grind that lives above 70 for many bars = valid bullish trend, not a fade.
• Cross back through 50 shows balance has shifted; treat it like a micro trend change.
• Divergence arrows add extra confidence when you already see two-bar reversal candles at range extremes.
• Background shading (semi-transparent red / green) warns of extreme states and throttles your position size.
5. Practical trading playbook
Mean-reversion scalps
1. Wait for oscillator to reach your desired OB/ OS levels
2. Check the slope of the smoothing MA—if it is flattening the squeeze is mature.
3. Look for a one- or two-bar reversal pattern.
4. Enter against the move; first target = midline 50, second target = opposite threshold.
5. Stop loss just beyond the extreme band.
Trend continuation pullbacks
1. Identify a clean directional trend on the price chart.
2. During the trend, TDP will oscillate between midline and extreme of that side.
3. Buy dips when oscillator hits OS levels, and the same for OB levels & shorting
4. Exit when oscillator re-tags the same-side extreme or prints divergence.
Volatility regime filter
• Use the Enable Time Decay switch as a regime test.
• If equal-weight oscillator and decayed oscillator diverge widely, market is entering a new volatility regime—tighten stops and trade smaller.
Divergence confirmation for other indicators
• Pair TDP divergence arrows with MACD histogram or RSI to filter false positives.
• The weighted nature means TDP often spots divergence a bar or two earlier than standard RSI.
Swing breakout strategy
1. During consolidation, band width compresses and oscillator oscillates around 50.
2. Watch for sudden expansion where oscillator blasts through extreme bands and stays pinned.
3. Enter with momentum in breakout direction; trail stop behind upper or lower band as it re-expands.
6. Customising decay mathematics
Linear – Each older bar loses the same fixed amount of influence. Intuitive and stable; good for slow swing charts.
Exponential – Influence halves every “decay factor” steps. Mirrors EMA thinking and is fastest to react.
Power-law – Mid-history bars keep more authority than exponential but oldest data still fades. Handy for commodities where seasonality matters.
Logarithmic – The gentlest curve; weight drops sharply at first then levels off. Mimics how traders remember dramatic moves for weeks but forget ordinary noise quickly.
Turn decay off to verify the tool’s added value; most users never switch back.
7. Alert catalogue
• TD Overbought / TD Oversold – Cross of regular thresholds.
• TD Extreme OB / OS – Breach of danger zones.
• TD Bullish / Bearish Divergence – High-probability reversal watch.
• TD Midline Cross – Momentum shift that often precedes a window where trend-following systems perform.
8. Visual hygiene tips
• If you already plot price on a dark background pick Bullish Color and Bearish Color default; change to pastel tones for light themes.
• Hide threshold lines after you memorise the zones to declutter scalping layouts.
• Overlay mode set to false so the oscillator lives in its own panel; keep height about 30 % of screen for best resolution.
9. Final notes
Time-Decaying Percentile Oscillator marries robust statistical ranking, adaptive dispersion and decay-aware weighting into a simple oscillator. It respects both recent order-flow shocks and historical context, offers granular control over responsiveness and ships with divergence and alert plumbing out of the box. Bolt it onto your price action framework, trend-following system or volatility mean-reversion playbook and see how much sooner it recognises genuine extremes compared to legacy oscillators.
Backtest thoroughly, experiment with decay curves on each asset class and remember: in trading, timing beats timidity but patience beats impulse. May this tool help you find that edge.
Moving Average Shift [Quantora]Title: Moving Average Shift
Description:
The Moving Average Shift is a dynamic technical analysis tool designed to help traders better visualize trend strength and direction using a combination of customizable moving averages and a volatility-adjusted oscillator.
🔧 Features:
Multi-Type Moving Average Selection
Choose from SMA, EMA, SMMA (RMA), WMA, and VWMA for your main signal line.
ZLSMA Trio
Three Zero-Lag Smoothed Moving Averages (ZLSMA) with adjustable lengths and colors provide a smoother trend-following structure without the delay of traditional MAs.
EMA Ribbon (50/100/200)
Add clarity to long-term trend direction with layered Exponential Moving Averages in key institutional periods.
Volatility-Adjusted Oscillator
A color-changing oscillator calculated from the normalized deviation between price and the selected MA. This helps identify trend shifts and momentum buildups.
Custom MA Line Widths and Styling
Full control over the width and appearance of all MA lines for visual clarity.
Bar & Candle Coloring
Bars and candles dynamically change color based on the relationship between price and the selected MA — helping you quickly assess bullish/bearish conditions.
📈 How It Helps:
Spot early trend shifts through the oscillator.
Confirm trades using the alignment between ZLSMAs and EMAs.
Quickly assess current trend conditions using color-coded price bars.
Real-Time Swing High/Low Detector with liquidity sweepThis script identifies the most important market structure points (swing highs/lows) and liquidity sweeps in a configurable and timeframe-adaptive manner.
By default:
It shows 5 recent swing highs and lows to keep your charts readable.
It detects and illustrates up to 3 Liquidity Sweeps (very close new highs/lows to earlier extremes).
It automatically adjusts how tight the sweep detection is based on your chart’s timeframe to balance precision and noise.
You can tweak all these numbers via the input settings panel to customize the indicator to your personal trading style and chart preferences
Configurable Parameters
Pivot Length (pivot_length)
What it does: Determines how many bars to the left and right the script looks at when identifying swing highs and lows.
Effect: Increasing this value results in fewer, more significant swings; decreasing it makes the indicator more sensitive and detects more swings.
Default: 5
Suggested: Adjust based on your trading timeframe and style to balance sensitivity and noise.
Show Labels (show_labels)
What it does: Toggles the display of swing labels such as HH, HL, LH, LL on the chart.
Effect: If enabled, the script marks swing points with their corresponding label for easier visual reference.
Default: true
Use: Turn off if you prefer a cleaner chart without textual swing indicators.
Show Current Levels (show_current_levels)
What it does: Toggles horizontal lines extending from the latest swing highs and lows.
Effect: Provides visual support/resistance zones on the chart.
Default: true
Use: Helpful for visualizing major price levels based on recent swings.
Max Swing Points (max_swings)
What it does: Limits the number of swing points stored and displayed.
Effect: Prevents chart clutter and performance issues by controlling history length.
Default: 20
Use: Increase for longer history; decrease for lighter charts.
Liquidity Sweep Threshold (liq_sweep_threshold_pc)
What it does: Defines the maximum percentage price difference allowed to consider a new high/low "very close" to the previous one, detecting a Liquidity Sweep.
Effect: Controls how sensitively the script detects these sweep points.
Default: Automatically set based on chart timeframe:
For timeframes below 1 hour: 0.05% (stricter, less tolerant)
For 1 hour and above: 0.1% (more tolerant)
Use: This dynamic setting ensures relevance of Liquidity Sweeps across different timeframes.
Liquidity Sweep Label Transparency (liq_sweep_alpha)
What it does: Controls the opacity of "Liquidity Sweep" labels, with 0 being fully opaque and 255 fully transparent.
Default: 10 (mostly opaque but slightly transparent)
Use: You can increase this value if you want the labels to be more subtle.
Random HTFRandom HTF is a powerful market structure overlay designed for intraday and swing traders who want to anchor their trades using high-probability zones, NFP alignment, and historical statistical edge.
🧠 Core Features
Weekly 5 EMA Anchor
Plots the weekly 5-period EMA and calculates custom upper/lower EMA zones (e.g., 2.5%–3%) to define optimal extension/reversion levels.
Session Box Framework
Automatically maps key opening sessions:
Sunday 6:00–7:30 PM ET (Asia open structure)
Tuesday 9:30–10:30 AM ET (often key pivot for the week)
Monthly Structure Levels
Prior Month High, Low, Mid, and 30% retracement (dynamic bullish/bearish logic)
Includes current month 30% level
Optional historical monthly lines for deeper confluence
Previous Week Levels
High, Low, 25%, 50%, 75% zones
Custom coloring, line styles, and penetration analysis with tables
NFP Mode (Non-Farm Payroll Smart Context)
Automatically detects NFP Fridays
Builds weekly/monthly boxes from that candle
Annotates whether price is above/below/inside NFP range
📊 Probability Engine (Optional)
Enable advanced stats to access:
Weekly penetration probabilities into custom EMA zones
Entry/completion rates for each zone
Median/mean/mode of weekly price extensions
Full day-of-week breakdown showing which days tend to hit/exceed your configured zone
Opening-position impact vs EMA (does the week open above or below?)
📐 Ideal Use Case
Trade intraday breakouts/reversions with awareness of higher timeframe stretch
Use EMAs + zones to frame when a move is extended or just beginning
Identify structural traps/fakeouts around NFPs, Tuesdays, or prior month levels
Quantify whether the market is operating in a compressed or expansive state
🔧 Customization
Full control over:
Time filtering (e.g., only analyze 9:30–16:00 ET)
EMA lengths and percentage bands
Zone styling (colors, labels, widths)
Whether to show current vs. historical levels
This tool blends HTF structure, macro calendar awareness, and quantified stretch behavior into a single overlay. Perfect for traders who want probabilistic alignment before entering intraday setups.
Volatility Wick Trap — Smart Reversal EngineThe Volatility Wick Trap — Smart Reversal Engine is a precision reversal detection tool designed for traders who rely on smart money footprints, volatility compression, and liquidity wick exhaustion to time entries near market turns.
💡 Core Components:
Volatility Squeeze Detection: Identifies candles where range compresses significantly compared to the 14-period average true range, highlighting potential breakout zones.
Liquidity Wick Exhaustion: Detects candles with dominant upper or lower wicks, signaling failed liquidity grabs or stop hunts.
Contextual EMA Filter: Uses a 21-period EMA to filter signals, improving accuracy by aligning with market structure bias.
🔍 How It Works:
Green diamond lines mark bullish hidden reversal zones.
Red diamond lines mark bearish hidden reversal traps.
These lines only appear when volatility compresses and wick traps are confirmed within the trend context.
✅ Clean. Minimal. Tactical.
Ideal for scalpers, swing traders, and smart money enthusiasts looking to fade emotional price spikes.
20-Candle ATR in Pips (5m only)This custom indicator displays the Average True Range (ATR) over the last 20 candles on a 5-minute chart, specifically designed for pairs where 1 pip = 0.01.
Key features:
📐 Calculates a simple moving average of the true range over the last 20 five-minute candles.
📋 Outputs the ATR value in a clean table with a green background and white text.
⚠️ Designed exclusively for the 5-minute timeframe – prompts you to switch if you’re on a different one.
📏 Values are shown in pips (e.g., “ATR (20 candles): 9.83 pips”).
This tool is ideal for short-term volatility tracking, scalping strategies, and identifying market conditions where price is expanding or contracting.