Multi-Timeframe SFP + SMTImportant: Please Read First
This indicator is not a "one size fits all" solution. It is a professional and complex tool that requires you to learn how to use it, in addition to backtesting different settings to discover what works best for your specific trading style and the assets you trade. The default settings provided are my personal preferences for trading higher-timeframe setups, but you are encouraged to experiment and find your own optimal configuration.
Please note that while this initial version is solid, it may still contain small errors or bugs. I will be actively working on improving the indicator over time. Also, be aware that the script is not written for maximum efficiency and may be resource-intensive, but this should not pose a problem for most users.
The source code for this indicator is open. If you truly want to understand precisely how all the logic works, you can copy and paste the code into an AI assistant like Gemini or ChatGPT and ask it to explain any part of the script to you.
Author's Preferred Settings (Guideline)
As a starting point, here are the settings I personally use for my trading:
SFP Timeframe: 4-Hour (Strength: 5-5)
Max Lookback: 35 Bars
Raid Expiration: 1 Bar
SFP Lines Limit: 1
SMT Timeframe 1: 30-Minute (Strength: 2-2) with 3-Minute LTF Detection.
SMT Timeframe 2: 15-Minute (Strength: 3-3) with 3-Minute LTF Detection.
SMT Timeframe 3: 1-Hour (Strength: 1-1) with 3-Minute LTF Detection.
SMT Timeframe 4: 15-Minute (Strength: 1-1) with 3-Minute LTF Detection.
Multi-Timeframe SMT: An Overview
This indicator is a powerful tool designed to identify high-probability trading setups by combining two key institutional concepts: Swing Failure Patterns (SFP) on a higher timeframe and Smart Money Technique (SMT) divergences on a lower timeframe. A key feature is the ability to configure and run up to four independent SMT analyses simultaneously, allowing you to monitor for divergences across multiple timeframes (e.g., 15m, 1H, 4H) from a single indicator.
Its primary purpose is to generate automated signals through TradingView's alert system. By setting up alerts, the script runs server-side, monitoring the market for you. When a setup presents itself, it will send a push notification to your device, allowing you to personally evaluate the trade without being tied to your screen.
The Strategy: HTF Liquidity Sweeps into LTF SMT
The core strategy is built on a classic institutional trading model:
Wait for a liquidity sweep on a significant high timeframe (e.g., 4-hour, Daily).
Once liquidity is taken, look for a confirmation of a shift in market structure on a lower timeframe.
This indicator uses an SMT divergence as that confirmation signal, indicating that smart money may be stepping in to reverse the price.
How It Works: The Two-Step Process
The indicator's logic follows a precise two-step process to generate a signal:
Step 1: The Swing Failure Pattern (SFP)
First, the indicator identifies a high-timeframe liquidity sweep. This is configured in the "Swing Failure Pattern (SFP) Timeframe" settings.
It looks for a candle that wicks above a previous high (or below a previous low) but then closes back within the range of that pivot. This action is known as a "raid" or a "swing failure," suggesting the move failed to find genuine momentum.
Step 2: The SMT Divergence
The moment a valid SFP is confirmed, the indicator's multiple SMT engines activate.
Each engine begins monitoring the specific SMT timeframe you have configured (e.g., "SMT Timeframe 1," "SMT Timeframe 2," etc.) for a Smart Money Technique (SMT) divergence.
An SMT divergence occurs when two closely correlated assets fail to move in sync. For example, after a raid on a high, Asset A makes a new high, but Asset B fails to do so. This disagreement suggests weakness and a potential reversal.
When the script finds this divergence, it plots the SMT line and triggers an alert.
The Power of Alerts
The true strength of this indicator lies in its alert capabilities. You can create alerts for both unconfirmed and confirmed SMTs.
Enable Alerts LTF Detection: These alerts trigger when an unconfirmed, potential SMT is spotted on the lower "LTF Detection" timeframe. While not yet confirmed, these early alerts can notify you of a potential move before it fully happens, allowing you to be ahead of the curve and find the best possible trade entries.
Enable Alerts Confirmed SMT: These alerts trigger only when a permanent, confirmed SMT line is plotted on your chosen SMT timeframe. These signals are more reliable but occur later than the early detection alerts.
Key Concepts Explained
What is Pivot Strength?
Pivot Strength determines how significant a high or low needs to be to qualify as a valid structural point. A setting of 5-5, for example, means that for a candle's high to be considered a valid pivot high, its high must be higher than the highs of the 5 candles to its left and the 5 candles to its right.
Higher Strength (e.g., 5-5, 8-8): Creates fewer, but more significant, pivots. This is ideal for identifying major structural highs and lows on higher timeframes.
Lower Strength (e.g., 2-2, 3-3): Creates more pivots, making it suitable for identifying the smaller shifts in momentum on lower timeframes.
Raid Expiration & Validity
An SFP signal is not valid forever. The "Raid Expiration" setting determines how many SFP timeframe bars can pass after a raid before that signal is considered "stale" and can no longer be used to validate an SMT. This ensures your SMT divergences are always in response to recent liquidity sweeps.
Why You Must Be on the Right Chart Timeframe to See SMT Lines
Pine Script™ has a fundamental rule: an indicator running on a chart can only "see" the bars of that chart's timeframe or higher.
When the SMT logic is set to the 15-minute timeframe, it calculates its pivots based on 15-minute data. To accurately plot lines connecting these pivots, you must be on a 15-minute chart or lower (e.g., 5-minute, 1-minute).
If you are on a higher timeframe chart, like the 1-hour, the 15-minute bars do not exist on that chart, so the indicator has no bars to draw the lines on.
This is precisely why the alert system is so powerful. You can set your alert to run on the 15-minute timeframe, and TradingView's servers will monitor that timeframe for you, sending a notification regardless of what chart you are currently viewing.
Trend Analizi
Divergence TridentA Combination of MACD + VFI + WaveTrend
Tradingview hates me and is making me explain this in greater detail so maybe this is enough????
cd_HTF_bias_CxOverview:
No matter our trading style or model, to increase our success rate, we must move in the direction of the trend and align with the Higher Time Frame (HTF). Trading "gurus" call this the HTF bias. While we small fish tend to swim in all directions, the smart way is to flow with the big wave and the current. This indicator is designed to help us anticipate that major wave.
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Details and Usage:
This indicator observes HTF price action across preferably seven different pairs, following specific rules. It confirms potential directional moves using CISD levels on a Medium Time Frame (MTF). In short, it forecasts the likely direction (HTF bias). The user can then search for trade opportunities aligned with this bias on a Lower Time Frame (LTF), using their preferred pair, entry model, and style.
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Timeframe Alignment:
The commonly accepted LTF/MTF/HTF combinations include:
• 1m – 15m – H4
• 3m – H1 – Daily / 3m – 30m – Daily
• 5m – H1 – Daily
• 15m – H4 – Weekly
• H1 – Daily – Monthly
• H4 – Weekly – Quarterly
Example: If you're trading with a 3m model on a 30m/3m setup, you should seek trades in the direction of the H1/Daily bias.
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How It Works:
The indicator first looks for sweeps on the selected HTF — when any of the last four candles are swept, the first condition is met.
The second step is confirmation with a CISD close on the MTF — once a candle closes above/below the CISD level, the second condition is fulfilled. This suggests the price has made its directional decision.
Example: If a previous HTF candle is swept and we receive a bearish CISD confirmation on H1, the HTF bias becomes bearish.
After this, you may switch to a more granular setup like HTF: 30m and MTF: 3m to look for trade entries aligned with the bias (e.g., 30m sweep + 3m CISD).
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How Is Bias Determined?
• HTF Sweep + MTF CISD = SC (Sweep & CISD)
• Latest Bullish SC → Bias: Bullish
• Latest Bearish SC → Bias: Bearish
• Price closes above the last Bearish SC → Bias: Strong Bullish
• Price closes below the last Bullish SC → Bias: Strong Bearish
• Strong Bullish bias + Bearish CISD (without HTF sweep) → Bias: Bullish
• Strong Bearish bias + Bullish CISD (without HTF sweep) → Bias: Bearish
• Bearish price violates SC high, but Bullish SC is untouched → Bias: Bullish
• Bullish price violates SC low, but Bearish SC is untouched → Bias: Bearish
• If neither side generates SC → Bias: No Bias
The logic is built on the idea that a price overcoming resistance is stronger, and encountering resistance is weaker. This model is based on the well-known “Daily Bias” structure, but with personal refinements.
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What’s on the Screen?
• Classic HTF zones (boxes)
• Potential MTF CISD levels
• Confirmed MTF lines
• Sweep zones when HTF sweeps occur
• Result table showing current bias status
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Usage:
• Select HTF and MTF timeframes aligned with your trading timeframe.
• Adjust color and position settings as needed.
• Enter up to seven pairs to track via the menu.
• Use the checkbox next to each pair to enable/disable them.
• If “Ignore these assets” is checked, all pairs will be disabled, and only the currently open chart pair will be tracked.
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Alerts:
You can choose alerts for Bullish, Bearish, Strong Bullish, or Strong Bearish conditions.
There are two types of alert sources:
1. From the indicator’s internal list
2. From TradingView’s watchlist
Visual example:
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How I Use It:
• For spot trades, I use HTF: Weekly and MTF: H4 and look for Bullish or Strong Bullish pairs.
• For scalping, I follow bias from HTF: Daily and MTF: H1.
Example: If the indicator shows a Bearish HTF Bias, I switch to HTF: 30m and MTF: 3m and enter trades once bearish conditions are met (timeframe alignment).
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Important Notes:
• The indicator defines CISD levels only at HTF high and low levels.
• If your chart is on a higher timeframe than your selected HTF/MTF, no data will appear.
Example: If HTF = H1 and MTF = 5m, opening a chart on H4 will result in a blank screen.
• The drawn CISD level on screen is the MTF CISD level.
• Not every alert should be traded. Always confirm with personal experience and visual validation.
• Receiving multiple Strong Bullish/Bearish alerts is intentional. (Trick 😊)
• Please share your feedback and suggestions!
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And Most Importantly:
Don't leave street animals without water and food!
Happy trading!
Henrys Session Markers+PO3 Open/Close v.2This indicator automatically marks out Asia Session, London Session, New York Session, and the 10am 4hr PO3 Candle Open and Close. This indicator can help out traders who dont want to mark out their sessions everyday while trading or backtesting.
Bullish/Bearish Trend Indicator [MTF + Alerts] by Dow theory Summary of Logic:
✅ Bullish Trend:
Setup Bar: High > Previous High AND Low ≥ Previous Low
Confirmation Bar: High > Highest High of last 3 candles, Low ≥ Setup Bar Low
Trend Continues Until: Latest candle breaks 2nd last candle’s low → then trend becomes Bearish
🔻 Bearish Trend:
Setup Bar: Low < Previous Low AND High ≤ Previous High
Confirmation Bar: Low < Lowest Low of last 3 candles, High ≤ Setup Bar High
Trend Continues Until: Latest candle breaks 2nd last candle’s high → then trend becomes Bullish
Trend Confirmation Dow TheoryTrend Confirmation as per Dow Theory
Summary of Logic:
✅ Bullish Trend:
Setup Bar: High > Previous High AND Low ≥ Previous Low
Confirmation Bar: High > Highest High of last 3 candles, Low ≥ Setup Bar Low
Trend Continues Until: Latest candle breaks 2nd last candle’s low → then trend becomes Bearish
🔻 Bearish Trend:
Setup Bar: Low < Previous Low AND High ≤ Previous High
Confirmation Bar: Low < Lowest Low of last 3 candles, High ≤ Setup Bar High
Trend Continues Until: Latest candle breaks 2nd last candle’s high → then trend becomes Bullish
Sessions and High/Low/andrewSessions and High/Low/andrew
this indictors covers all the session high and low including frankfurt
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).
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.
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.
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.