KPA Advisory - Vietnam Sector-Based Growth & Trend ScreenerKPA Advisory - Vietnam Sector-Based Growth & Trend Screener
Introduction
This indicator is developed by KPA Advisory to support individual investors in the Vietnam stock market in filtering, comparing, and evaluating stocks by sector, with the goal of identifying stocks that are exhibiting positive growth trends.
Instead of monitoring a large number of individual charts, the indicator helps investors quickly identify standout stocks within each sector, saving time and improving the efficiency of market observation.
Purpose
This indicator is designed to:
Filter stocks by sector
Compare relative strength among stocks within the same sector
Identify stocks with clear and positive growth trends
Help investors focus on in-depth analysis of selected stocks instead of tracking the entire market
The indicator is suitable for stock screening and observation on both Daily and Weekly timeframes.
Displayed Information
The data is presented in a clear and structured table, allowing users to choose which information fields are displayed, including:
Stock: Ticker symbol, with exchange information shown when the stock is not listed on HOSE
Price: Current price and percentage change compared to the previous session
Volume: Indicates the level of market participation in the stock
Trend: Reflects the current trend state of the stock (Up / Down / Neutral)
SMXH (Trend Strength): Evaluates the clarity and sustainability of the stock’s trend
Flexible Customization
Users can:
Enable or disable individual data columns based on their preferences
Display a single sector or multiple sectors simultaneously
Adjust the number of stocks shown per column
Sort stocks according to different observation criteria
Suggested Usage
Select the sector of interest
Prioritize stocks with positive trends and SMXH marked as STRONG
Open detailed charts only for these selected stocks for deeper analysis
This approach helps investors reduce noise, improve focus, and manage their analysis time more efficiently.
Disclaimer
This indicator is designed to support market observation, stock screening, and comparison
It does not constitute investment advice or a buy/sell recommendation
Investors should combine this tool with their own analysis and appropriate risk management before making any investment decisions
📬 Contacts
Email: khaibds1009@gmail.com
Phone/Zalo: 0934 050 375
© Copyright
Developed by: KPA Advisory
Market focus: Vietnam Stock Market
© 2025 KPA Advisory. All rights reserved.
Multitimeframe
Ultimate Gold & FX K-NN Master V95A sophisticated market analysis tool powered by K-NN.
Users have full control over MACD, STC, and SMC configurations. With integrated Elliott Wave analysis, this tool offers high-level functionality for professional trading.
Sameer Bandhara AlertsThis Sameer Bandhara (SB Trader) indicator is a dynamic trailing stop-loss system based on the Average True Range (ATR). Here's a comprehensive breakdown:
It uses ATR to create an adaptive trailing stop that adjusts to market volatility, generating buy/sell signals when price breaks through this dynamic stop level.
Forex/Stocks: Key Value 1.5-2.5, ATR Period 14-20
Crypto: Key Value 2.0-3.0 (higher volatility)
Timeframes: 1H and above (reduces noise)
iFVG Engine V1 - ICT 50% Lvl/ifvg/fvg/Killzones/liquidity lvlsiFVG Engine V1 — ICT 50% Line, Killzones, Liquidity Levels, A-Rated Setup Labels + Auto Checklist
This indicator is a complete session + liquidity + displacement workflow tool built around an ICT-style approach. It combines FVG/iFVG detection, session high/low mapping, daily range framework (premium/discount), multi-timeframe liquidity levels, and an auto-updating confluence checklist that can also output A-Rated setup labels when specific conditions align.
What it does
1) FVG + iFVG Engine (with master toggle)
Detects classic 3-candle Fair Value Gaps (FVG) on the chart timeframe or a selected source timeframe.
Projects gaps forward for a configurable number of bars.
Supports iFVG behavior (inverse state) where a gap can flip states based on price interaction.
Optional CE (midline) plotted inside each gap.
Optional labels showing gap type and size (points), plus full control over label text color, size, and placement.
2) Daily range framework (ICT-style 50% line + daily highs/lows)
Builds a session-based daily range and plots:
Daily High
Daily Low
50% Midpoint (Premium/Discount framework)
Includes customizable label positions and a session-based “true day” structure.
3) Killzone mapping (Asia, London, NY + NY sub-sessions)
Tracks and prints session highs/lows for:
Asia
London
NY Full Session
NY AM / NY Lunch / NY PM
Lines are drawn “static” after session close and can be extended forward.
Optional labels for each session high/low, with alignment controls.
4) 4H + 1H Swing Liquidity Levels
Detects confirmed swing highs/lows on 4H and 1H using pivot logic.
Extends levels forward with the option to stop extending after a sweep.
Optional label printing for each level.
Includes overlap control (example: hide 1H labels when near a 4H level).
5) Auto-Updating Confluence Checklist
This script includes an on-chart checklist that updates automatically to reflect your current market context. Checklist items can be manual and/or auto-checked. Current auto modules include:
Premium/Discount (bias-aware)
Major Liquidity Sweep (latched for a configurable number of bars)
Inside Killzone (session-time aware)
Momentum (bias-aware)
6) “A-Rated” Setup Labels
When enabled, the script can print “✅ LONG” / “✅ SHORT” labels when multiple components align. The A-Rated logic is designed to combine:
A qualifying iFVG flip event
A recent major liquidity sweep (session-based)
Premium/Discount context
Basic momentum confirmation
To reduce false positives, NY-family levels can be required to be “fresh” (recently printed) before they qualify as major liquidity.
How it works (conceptual)
This tool is built around the idea that higher-quality setups happen when liquidity + timing + displacement structure align:
Liquidity is represented by session highs/lows and swing levels (1H/4H).
Timing is represented by Killzones / session windows.
Displacement structure is represented by FVG/iFVG behavior and state changes.
Context is represented by premium/discount and momentum checks.
The checklist and A-Rated labels are meant to help traders quickly see when multiple “green lights” are present, while still allowing full manual discretion.
How to use it
Choose whether you want the FVG engine enabled and select a source timeframe if desired.
Turn on the sessions you trade (Asia/London/NY and optional NY sub-sessions).
Use the daily 50% line and PD framework to determine directional context.
Use session highs/lows and 1H/4H swings as liquidity references.
Use the checklist as a “go/no-go” filter and watch for A-Rated labels when your conditions align.
Customization
This indicator includes 15+ adjustable settings, including:
FVG source timeframe, gap filter, extension length, CE line styling, label styling/colors
Daily 50% and high/low appearance
Session toggles, colors, label alignment, and extension
1H/4H swing detection parameters, max levels, sweep-stop logic, label controls
Auto-check and latch durations for checklist logic
A-Rated thresholds such as lookback windows, wick rejection, and sweep distance
Notes / Disclaimer
This is not financial advice. This indicator is a decision-support tool designed for traders who already understand ICT-style concepts (liquidity, sessions, premium/discount, displacement). Always backtest and forward test before using any signals live.
Originality & Scope Notice
This script does not replicate or repackage any single public or open-source indicator. Instead, it implements a custom, integrated workflow that combines multiple widely known trading concepts—such as session-based liquidity, fair value gaps, premium/discount context, swing structure, and conditional momentum—into a single, configurable decision-support system.
The logic, structure, and interaction between these components were developed specifically for this tool and are not derived from any one existing script. The indicator is designed for discretionary traders who want structured, rules-based confluence without relying on fixed signals or predictions.
From a technical standpoint, this project consists of over 1,300 lines of custom Pine Script, developed and refined over an extended period of live market use and iteration. The protected source reflects both the scale and the custom architecture required to support its modular features, auto-updating checklist logic, and conditional setup labeling.
Ultimate Gold & FX - K-NN Master V83An environment recognition tool integrated with K-NN (K-Nearest Neighbors).
The MACD, STC, and SMC settings are fully customizable. It also features Elliott Wave displays, making it a highly advanced and versatile tool.
S/D Boring-Explosive (Non-Repaint)S/D Boring-Explosive Zone Detector (Non-Repaint)
📊 Overview
This indicator automatically identifies high-probability Supply and Demand zones using the "Boring-Explosive" pattern - a proven price action concept where consolidation (boring candles) precedes explosive moves. The script provides clean, non-repainting zones with intelligent retest alerts for optimal entry timing.
🎯 Core Concept: The Boring-Explosive Pattern
What is a Boring Candle?
A candle with wicks larger than its body
Represents consolidation, indecision, or accumulation/distribution
Often marks institutional order flow areas
What is an Explosive Candle?
A candle significantly larger than the preceding boring candle (default: 50% bigger)
Represents a breakout with strong momentum
Confirms the zone as a valid supply/demand area
The Pattern:
Price creates a boring candle (consolidation)
Within 3 bars, an explosive move occurs
The boring candle's range becomes a supply/demand zone
Future retests of this zone offer high-probability entries
✨ Key Features
🎨 Automatic Zone Detection
Demand Zones (Green): Form after bullish explosive moves - act as support
Supply Zones (Red): Form after bearish explosive moves - act as resistance
Non-Repainting: All zones confirmed on closed candles only
Customizable Size: Adjust explosive multiplier to filter zone quality
🔔 Smart Retest Alerts
Multiple Entry Signals: Get alerts each time price retests a valid zone
Time-Based Filtering: Configurable minimum time between retests (default: 60 min) prevents alert spam
Visual Labels: Clear "RETEST ▲" and "RETEST ▼" labels at retest points
Respect-Based Logic: Labels only appear when price enters zone and closes outside (showing respect)
📈 Multi-Timeframe Support
Higher Timeframe Zones: Overlay HTF zones on lower timeframe charts
Visual Distinction: HTF zones shown in blue/orange with thicker borders
Combined Analysis: View both current and higher timeframe zones simultaneously
🧹 Clean Chart Management
Auto-Delete on Fill: Zones automatically removed when price breaks through
Configurable History: Keep zones for 100-5000 bars
Label Lifecycle: Retest labels deleted when their zone is invalidated
Decluttered View: Only shows relevant, active zones
⚙️ Settings Guide
Zone Detection
Explosive Size Multiplier: How much bigger explosive candle must be (1.5 = 50% larger)
Bars Back to Check: How long to maintain zones (500 = keep zones for 500 bars)
Delete Zones After Fill: Remove zones when price closes through them
Fill Type: Choose "Close" (zone filled on close) or "Wick" (filled on touch)
Multi-Timeframe
Use Higher Timeframe: Enable HTF zone detection
Higher Timeframe: Select HTF (e.g., 60min, 240min, Daily)
Show Current TF Zones: Toggle current timeframe zones on/off
Retest Settings
Show Retest Labels: Display visual labels at retest points
Min Minutes Between Retests: Time filter to prevent duplicate signals (1-60+ minutes)
Label Text Size: Adjust label visibility
Alert on Zone Retest: Enable push/email/sound alerts
Styles
Customize colors for demand/supply zones
Adjust border width (1-5)
Toggle zone extension to the right
📖 How to Use
For Day Traders:
Set "Min Minutes Between Retests" to 15-30 minutes
Use on 5min or 15min charts
Enable HTF zones (60min) for additional confluence
Take entries on retest labels aligned with HTF zones
For Swing Traders:
Set "Min Minutes Between Retests" to 60-240 minutes
Use on 1H or 4H charts
Enable HTF zones (Daily or Weekly)
Look for zones that hold multiple retests
Entry Strategy:
Wait for zone to form (boring + explosive pattern)
Wait for price to return to the zone
Enter when retest label appears (price entered zone and closed outside)
Place stop loss beyond the zone
Zone remains valid until price closes through it
🎓 Trading Logic
Demand Zone Retest (Long Entry):
Price drops into green zone (low touches zone)
Candle closes ABOVE the zone top
Shows buyers defended support → Entry signal
Supply Zone Retest (Short Entry):
Price rises into red zone (high touches zone)
Candle closes BELOW the zone bottom
Shows sellers defended resistance → Entry signal
⚠️ Important Notes
Non-Repainting: Uses confirmed bars for all detections
Zone Validity: Zones deleted when filled (if enabled) or after bars back limit
Multiple Retests: Same zone can generate multiple signals based on time filter
Timeframe Compatibility: Works on all timeframes (1min to Monthly)
Best Practice: Combine with trend analysis and risk management
🔧 Technical Details
Uses confirmed candle data only (no repainting)
Tracks zone state (untested vs. respected)
Links labels to zones for automatic cleanup
Validates zone existence before creating signals
Supports up to 500 zones simultaneously
📱 Alerts Available
Demand Zone Retest: Fires when price respects support zone
Supply Zone Retest: Fires when price respects resistance zone
Configurable: Enable/disable in retest settings
Perfect for: Price action traders, supply/demand traders, institutional order flow analysis, multi-timeframe analysis
Compatible with: All markets (Forex, Stocks, Crypto, Futures, Indices)
MTF TSL + RSI Dashboard🚀 Catchy Headlines
The Ultimate Trend & Momentum Hub: MTF TSL + RSI Dashboard
Master the Waves: Professional Multi-Timeframe Trend Suite (v6)
All-in-One Market Visualizer: MTF Trend Stop Line & RSI Dynamics
1. OverviewThe MTF TSL + RSI Dashboard is a comprehensive technical analysis tool designed to bridge the gap between price action and momentum across multiple horizons. Built on Pine Script v6, this indicator provides a "birds-eye view" of the market, allowing traders to identify high-probability setups by aligning trends from 12 different timeframes on a single chart.
2. Core ComponentsA. Trend Stop Line (TSL)The TSL is the backbone of this system. Unlike static support levels, the TSL is a dynamic, swing-based indicator:Calculation: It tracks the highest highs and lowest lows over a user-defined Swing Period.Signal Logic: A BUY signal is triggered when the price crosses above the resistance level, and a SELL signal when it drops below the support level.Visuals: Includes on-chart labels and bar coloring for instant trend recognition.B. RSI Trend FilterStandard RSI (70/30) can be noisy. This script enhances RSI by comparing it against two moving averages (EMA and WMA):Bullish Momentum: RSI is above both EMA and WMA.Bearish Momentum: RSI is below both EMA and WMA.Neutral/Side: RSI is sandwiched between the averages, signaling a lack of direction.C. The Multi-Timeframe DashboardThe dashboard summarizes market health from 1m up to 1W.ColumnDescriptionTFThe specific timeframe (1m, 5m, 1h, 1D, etc.).TSLDisplays the current TSL signal (BUY/SELL).RSI TRDisplays the RSI Trend (Bullish/Bearish/Side).RSIThe raw RSI value (Color-coded: Green for Oversold, Red for Overbought).WAVEThe "Market Phase" – A fusion of TSL and RSI data.
3. Understanding the "WAVE" (Market Phases)The WAVE column is the most powerful feature, categorizing the market into specific states:Bullish/Bearish (Tang/Giam): Full alignment between Price Trend and Momentum.Slowing (T.Cham/G.Cham): The trend is still active, but momentum is fading.Divergence (PK-T/PK-G): Price and RSI are signaling opposite directions—high risk of a reversal.
4. How to Trade with this IndicatorStep 1: Check the Higher Timeframes (HTF)Look at the Dashboard for the 1H, 4H, and 1D rows. If they are all Green ("Tang"), you should prioritize Long positions.Step 2: Identify the EntryWait for a BUY signal on your local timeframe (e.g., 5m or 15m). Ensure the "WAVE" status is not showing "Slowing" or "Divergence."Step 3: Set Your Stop LossUse the plotted TSL line as your dynamic Stop Loss. If the price closes on the opposite side of the TSL, the trend has officially shifted, and it’s time to exit.
5. Key SettingsSwing Period: Adjust the TSL sensitivity (Default: 3).EMA Lines: Toggle four customizable EMAs (9, 21, 50, 200) for structural context.Dashboard Customization: Fully adjustable position (Top/Bottom/Left/Right), size, and orientation (Vertical/Horizontal).Alerts: Native TradingView alerts for Buy/Sell crossovers.
15-Minute High Low Short LinesThis indicator plots short horizontal lines showing the **high** and **low** of the most recently completed 15-minute candle, regardless of the chart's timeframe.
Key Features:
- Lines start exactly at the open time of the previous completed 15-minute bar
- Lines extend forward for a user-defined number of minutes (default: 60 minutes = 1 hour ahead)
- Only the latest lines are displayed (old lines are automatically removed for a clean chart)
- Fully customizable: line colors, width, and extension length
- Non-repainting and works perfectly on any timeframe (1m, 5m, 1h, daily, etc.)
- Ideal for marking recent 15-minute range levels for breakout or support/resistance trading
Great for intraday traders who want quick visual reference to the prior 15-minute high and low without clutter.
HTF Liquidity Pool Levels + Intraday OpensPrecision Liquidity Pro: HTF & Intraday Levels
Overview
Precision Liquidity Pro is an institutional-grade technical analysis tool designed to automatically map out high-probability liquidity zones across multiple timeframes. By combining Higher Timeframe (HTF) previous session data with current session opening prices and precision-fetched intraday levels, this script provides a comprehensive "map" of the market's most significant pivot points.
Whether you trade ICT concepts, Supply & Demand, or Mean Reversion, this script eliminates the manual work of drawing levels and ensures your charts remain precise to the dollar.
Key Features
1. Multi-Timeframe Liquidity Pools
The script tracks and plots the following levels for Daily, Weekly, Monthly, Quarterly, and Yearly timeframes:
Previous Session Highs & Lows: Vital "liquidity draws" where stops often reside.
Midpoints (Equilibrium): The 50% mark of the previous session, used to determine premium vs. discount pricing.
Current Session Opens: Dynamic anchor points (CDO, CWO, CMO, etc.) that track the starting price of the current active period.
2. New York Precision Openings
Unlike standard indicators that rely on your current chart's timeframe, this script uses request.security to pull data from the 1-minute interval. This ensures that the key New York opening prices are exact, regardless of whether you are viewing a 5m or 1H chart:
00:00 Midnight Open: The daily "True Open" anchor.
08:30 & 09:30 Opens: Critical for NY session "Power of 3" entries.
10:00 Open: Often marks the end of the initial volatility and the start of the "Silver Bullet" window.
3. Advanced Visual Management
Staggered Labels: Prevent "label soup." You can horizontally separate labels by timeframe so they don't overlap, or set spacing to 0 for a compact stack.
Customizable Extension: Control how far the lines extend into the right margin (white space) for better visibility.
Visual Legend: A toggleable on-screen table that explains every abbreviation (PDH, PQL, etc.), ensuring you never lose track of what a line represents.
How to Use
Trend Confirmation: Use the Current Opens (CDO/CWO) as a bias filter. If price is above the open, look for long opportunities at HTF liquidity; if below, look for shorts.
Reversal Signals: Watch for price to "sweep" a PDH (Previous Daily High) or PWH and then reclaim the Midnight Open.
Targeting: Use the Midpoint levels as high-probability take-profit zones for mean reversion trades.
Settings Breakdown
General: Adjust label size, background visibility, and horizontal stagger spacing.
Timeframe Toggles: Every level (High, Low, Mid, Open) for every timeframe can be individually enabled or disabled.
Style Control: Full control over color, opacity, line thickness, and line style (Solid, Dashed, Dotted) for each timeframe group.
Legend Table: Customize the position (Top/Bottom/Left/Right) and color of the on-screen abbreviation key.
Technical Specifications
Script Version: Pine Script v5
Overlay: True
Data Handling: Uses lookahead=barmerge.lookahead_on for historical accuracy and request.security for cross-timeframe precision.
NQ Multi-TF Supply/Demand (4H+1H Zones, 5m/3m Exec) v2.0Supply & Demand HTF Precision Bot (1H / 4H → 5M Execution)
This Supply & Demand bot is designed to trade institutional price zones using a strict top-down framework.
The system automatically identifies high-probability supply and demand zones on the 1-Hour and 4-Hour timeframes, where smart money activity is most reliable. These higher-timeframe zones define the directional bias and key areas of interest, eliminating low-quality noise and random entries.
Once price reaches a validated HTF zone, the bot shifts to the 5-Minute chart to execute precise entries and exits, allowing for:
Tighter risk control
Cleaner confirmations
Consistent, repeatable execution
Trades are only taken when lower-timeframe price action aligns with higher-timeframe structure, ensuring entries are made at value, not in the middle of random price movement.
Key Features:
Automatic 1H & 4H Supply/Demand zone detection
5M precision entries and exits
Built for trend continuation and high-probability reversals
Eliminates emotional decision-making
Fully rules-based and backtestable
Ideal for futures, indices, and liquid FX pairs
This bot is built for traders who want to trade like institutions do — patiently, selectively, and with structure — rather than chasing price.
Trend Harmony🚀 Trend Harmony: Multi-Timeframe Momentum & Trend Dashboard
Trend Harmony is a sophisticated multi-timeframe (MTF) analysis tool designed to help traders identify high-probability setups by spotting "Market Harmony." Instead of flipping through charts, this indicator synthesizes RSI momentum and EMA trend structures from four different time horizons into a single, intuitive dashboard.
🔍 How It Works
The core philosophy of this indicator is that the most powerful moves happen when short-term momentum aligns with long-term trend structure. The script tracks four user-defined timeframes simultaneously.
1. The Trend Scoring Engine
The indicator evaluates the relationship between a Fast EMA (default 20) and a Slow EMA (default 50) across all active timeframes.
Bullish Alignment: Fast EMA > Slow EMA.
Bearish Alignment: Fast EMA < Slow EMA.
2. The Harmony Summary
At the bottom of the dashboard, the "Summary" status calculates the total "Harmony" of the market:
🚀 FULL BULL HARMONY: All selected timeframes are in a bullish trend.
📉 FULL BEAR HARMONY: All selected timeframes are in a bearish trend.
⚠️ CAUTION (Overbought/Oversold): Triggered when the market is in "Full Harmony" but RSI levels suggest the price is overextended (>70 or <30). This warns you not to "chase" the trade.
Neutral/Mixed: Timeframes are in conflict (e.g., 15m is bullish but Daily is bearish).
🛠 Key Features
Unified RSI Pane: View four RSI lines on one chart to spot divergences or "clusters" where all timeframes bottom out at once.
Dynamic Table: Real-time tracking of:
Price vs EMA: Instant visual (▲/▼) showing if price is above/below your key averages.
Smart RSI Coloring: RSI values turn Green during "Power Zones" (0–30 or 50–70) and Red otherwise.
Full Customization: Change timeframes (1m, 5m, 1H, D, etc.), EMA lengths, and RSI parameters to fit your strategy.
📈 Trading Strategy Tips
Wait for the Sync: The "Full Harmony" status is your signal that the "tide" is moving in one direction. Look for long entries when the status is Green and short entries when it is Red.
The Pullback Entry: When the summary says "Caution (Overbought)," wait for the RSI lines to cool down toward the 50 level before entering the trend again.
RSI Clustering: When all four RSI lines converge at extreme levels (30 or 70), a massive volatility expansion is usually imminent.
TrintityTrendIntroducing TrinityTrend
A multi-signal indicator combining:
Candle TrendStrength
SuperTrend logic
TTM Squeeze detection
Built for clarity, momentum, and volatility awareness—across any timeframe.
TrendStrength Mode
Candle coloring reflects directional conviction.
Strong uptrend
Strong downtrend
Neutral or indecisive
Helps traders stay with momentum and avoid chop.
SuperTrend Overlay
SuperTrend Logic Dynamic trailing stop based on volatility.
🟩 Price above = bullish bias
🟥 Price below = bearish bias
Great for swing entries and exits.
TTM Squeeze Detection
TTM Squeeze Mode Detects compression zones before breakout.
Squeeze on = buildup (You can change the color of this)
Pairs well with TrendStrength for timing entries.
Multi-Timeframe Versatility
Multi-Timeframe Ready:
Intraday scalping
Daily swing setups
Weekly macro bias
Toggle modes to match your strategy
Institutional PointOverview Institutional Point is a sophisticated data-mining indicator designed to identify and track "institutional footprints" by isolating the single candle with the highest volume relative to a specific time anchor. Unlike traditional volume profiles that aggregate data into price bins, this script pinpoints the exact temporal origin of massive liquidity injections.
Core Methodology The script operates on a multi-timeframe analysis engine (MTF). It scans sub-chart data (2-minute or 15-minute intervals) to find the absolute maximum volume peak within a defined period. Once the "Institutional Point" is identified:
Source Identification: The origin candle is highlighted in white, signaling a high-conviction entry or exit by large-scale market participants.
Zone Projection: A borderless "Institutional Zone" is projected forward from the spike’s high/low range.
Dynamic Interaction: The zone remains active until the price revisits the area (mitigation) or until the time-based expiration is reached.
Anchor Modes & Precision
8-Hour Cycle: Optimized for high-frequency scalping. Anchors reset at 00:00, 08:00, and 16:00. Utilizes ultra-precise 2-minute volume detection.
Daily Session: Designed for intraday and swing traders. Anchors to the Daily Open. Utilizes 2-minute volume detection to isolate precise institutional orders.
Weekly Cycle: Built for identifying major structural pivots. Anchors to the Weekly Open. Utilizes 15-minute volume detection for macro-liquidity analysis.
Key Features
Naked Level Tracking: Zones automatically stop extending the moment they are "hit" by price action, providing a clean visual of unmitigated liquidity.
Anti-Noise Filter: Automatically excludes Saturday and Sunday data to maintain statistical integrity across global markets.
Minimalist Interface: High-contrast visual design focused on scannability and professional chart aesthetics.
Use Cases
Data Science & Backtesting: Ideal for measuring the "Z-Score" or "Percentile Distance" from institutional peaks.
Supply & Demand Trading: Automated identification of the "Origin of the Move."
Magnet Analysis: Tracking "Naked" volume spikes as high-probability magnets for future price mean reversion.
Digital MACD Divergences MTF [LUPEN]Digital MACD Divergences MTF V1.0
Overview:
Digital MACD Divergences MTF is an advanced momentum oscillator based on digital signal processing techniques.
Instead of relying on traditional moving-average smoothing, it applies Finite Impulse Response (FIR) digital filters to extract momentum more cleanly, reducing lag and short-term market noise.
The indicator is designed to provide a clear visualization of momentum structure, divergence behavior, and multi-timeframe context, rather than discrete trading signals.
Conceptual Architecture
At its core, the indicator reinterprets the classic MACD framework through digital convolution logic:
FIR filters are used to compute momentum in a more responsive and stable manner than standard EMA-based MACD.
The resulting histogram represents momentum intensity and direction as a continuous state rather than binary conditions.
A digitally smoothed signal line provides structural reference without introducing excessive delay.
This approach emphasizes momentum quality and structure, not signal frequency.
Divergence Detection Logic:
The script includes automatic divergence detection based on pivot analysis:
Regular bullish and bearish divergences are identified using confirmed pivot points.
Divergences are visualized with explicit line structures and optional filled areas, highlighting the zone of disagreement between price behavior and momentum.
The visualization is designed to remain readable without obscuring price action.
Divergences are presented as contextual information, not as mandatory actions.
Multi-Timeframe (MTF) Context
Digital MACD Divergences MTF supports native multi-timeframe analysis through a dual-pane workflow:
A lower-timeframe instance visualizes local momentum dynamics.
A higher-timeframe instance visualizes the broader momentum regime within which lower-timeframe fluctuations occur.
The higher-timeframe view is not intended as confirmation or filtering logic, but as a contextual background layer that helps interpret short-term momentum behavior inside a larger structural environment.
This separation avoids decision compression and keeps each timeframe’s role conceptually distinct.
Visual Design
Gradient-based histogram fills represent momentum intensity in a continuous manner.
Positive and negative momentum regions are clearly differentiated while remaining adaptable to both dark and light chart themes.
All visual elements are designed to emphasize state and regime, not discrete events.
Reliability
No repainting: all divergences and momentum states are confirmed on candle close and remain fixed.
Designed for consistency across instruments and timeframes.
Customization Options
Timeframe selection for MTF mode (leave empty to use the chart’s timeframe).
Adjustable signal smoothing parameters.
Divergence visibility controls, pivot sensitivity, and optional divergence fill.
Fully customizable color palette.
Usage Notes
This indicator is a visual market analysis tool intended to support momentum interpretation and structural context.
It does not provide investment advice, trading signals, or automated decision logic, and should be used as part of a broader analytical framework.
Final quotes:
"Trading is not about prediction, but about understanding momentum structure.
Digital MACD removes noise to make that structure visible."
MTF RSI OscillatorMTF RSI Oscillator
Multi-Timeframe RSI Regime & Momentum Filter
OVERVIEW
MTF RSI Oscillator is a non-repainting, multi-timeframe RSI visualization tool designed to help traders align lower-timeframe momentum with a higher-timeframe market regime.
The default configuration uses:
• Macro timeframe: 1 Week
• Micro timeframe: 8 Hours
This indicator is not a standalone trading system. Its purpose is to provide context, structure, and discipline by visually separating bullish, bearish, and no-trade environments.
It works on all markets and all timeframes.
CORE CONCEPT
Markets alternate between:
• trending phases
• consolidation and indecision phases
Many trading mistakes occur when momentum indicators are used without higher-timeframe context.
This indicator addresses that issue by combining:
• a Weekly RSI to define the dominant regime
• an 8-Hour RSI to observe momentum only when the regime allows it
When the macro RSI is neutral, the micro RSI is intentionally muted, discouraging low-probability trades.
HOW IT WORKS
MACRO RSI (Weekly by default)
• Bullish regime when RSI is above the upper threshold (default 60)
• Bearish regime when RSI is below the lower threshold (default 40)
• No-Trade Zone between those levels
MICRO RSI (8-Hour by default)
• Active only when the macro regime is bullish or bearish
• Ignored during macro no-trade conditions
OSCILLATOR LOGIC
• Zero-centered visualization (not the traditional 50-line)
• Positive values represent allowed bullish momentum
• Negative values represent allowed bearish momentum
• Flat values represent neutral / no-trade environments
STATUS MATRIX
A compact matrix displays the current state of:
• Macro RSI: BULL / BEAR / NEUTRAL
• Micro RSI: BULL / BEAR / NEUTRAL
This allows quick confirmation of market context without relying solely on the oscillator.
WHAT THIS INDICATOR IS
✔ A regime and bias filter
✔ A discipline and context tool
✔ A visual guide for multi-timeframe RSI alignment
✔ An educational reference for market structure awareness
WHAT THIS INDICATOR IS NOT
✖ Not a standalone entry system
✖ Not a buy/sell signal generator
✖ Not a performance-promising strategy
It is designed to be used alongside your own entries, such as price action, structure, or other indicators.
NON-REPAINTING & RELIABILITY
• Secure higher-timeframe data handling
• Confirmation on candle close
• No repainting or forward-looking behavior
RECOMMENDED USAGE
• Use the Weekly RSI to define directional bias
• Use the 8-Hour RSI to evaluate momentum within that bias
• Avoid trading during macro no-trade zones
• Combine with your own risk management rules
FINAL NOTE
This indicator is published as a free contribution to the TradingView community.
Its goal is to encourage patience, structure, and contextual awareness, not over-trading.
Use it as a filter, not a signal.
BMM V2 FIANL VERSION UPDAATE 2026 ⚙️ Optimized Trading Guide — MWABUFX 15-Minute Intraday Setup
🕒 Recommended Timeframe
✅ 15-Minute Chart (M15) — the most balanced and accurate for MWABUFX.
Why M15 Works Best:
Filters out small, noisy market movements found on 1m–5m charts.
Responds faster than 1H or 4H, perfect for daily profits.
Aligns well with market session volatility (London & New York).
Gives 2–5 high-probability trades per day depending on the pair.
Ideal for traders using PineConnector automation or manual execution.
🧭 How to Trade on 15-Minute
🟢 Buy Setup
EMA 238 is sloping upward and price is above it.
Supertrend flips green — wait for candle to close above the line.
Confirm trend direction on 1H timeframe (optional filter).
Enter trade at the close of the signal candle.
Stop-Loss: below recent swing low.
Take Profits:
TP1 → 1:1
TP2 → 1:2
TP3 → 1:3
Move SL to breakeven after TP1 is hit.
🔴 Sell Setup
EMA 238 is sloping downward and price is below it.
Supertrend flips red — wait for candle to close below the line.
Confirm 1H trend also bearish (optional).
Enter trade at the candle close.
Stop-Loss: above recent swing high.
Take Profits: TP1, TP2, TP3 as above.
🕐 Best Trading Hours (Kenya Time / GMT+3)
Session Time Ideal Pairs Notes
London Session 10:00 AM – 2:00 PM GBPUSD, EURUSD, Gold Cleanest 15-min trends
New York Session 3:30 PM – 7:00 PM US30, NAS100, XAUUSD, GBPUSD Strong volatility, high RR trades
Avoid After 8:30 PM — Market slows down, spreads widen
📌 If you must choose one — trade 15-minute charts during London–New York overlap (3:30 PM – 6:30 PM).
⚖️ Risk & Profit Strategy
Risk only 1–2% of balance per trade.
Focus on 1–3 solid setups per session — no overtrading.
Aim for minimum 1:2 reward-to-risk ratio.
Avoid entries when EMA 238 is flat (ranging market).
💡 Pro Tips
Use “Close of Candle” confirmation — avoid jumping in mid-bar.
Combine with session bias (e.g. buy Gold during bullish NY momentum).
Use alerts through PineConnector to catch trades instantly.
Don’t trade during major red news (NFP, CPI, FOMC).
Journal every trade — review TP/SL behavior to improve timing.
Institutional Flow Journey v2Institutional Flow Journey v2: A Comprehensive Analysis of Order Flow Edge for Retail Traders:
1. The Institutional Flow Journey v2 indicator represents a sophisticated attempt to democratize institutional-grade market analysis by bringing order flow concepts traditionally reserved for professional trading desks into the accessible realm of TradingView's Pine Script ecosystem. At its core, this indicator is built on the fundamental premise that markets move not on price action alone, but on the underlying battle between buying and selling pressure at specific price levels, and that by analyzing this pressure at granular timeframes, retail traders can gain insights into where institutional players are positioning themselves for significant moves. The script employs a multi-layered approach that combines volume delta analysis, absorption zone identification, exhaustion pattern recognition, and journey metrics to paint a comprehensive picture of market participant behavior during critical junctures in price discovery.
2. The technical foundation of this indicator rests on the concept of clustering lower timeframe data into meaningful analytical periods. Rather than analyzing every single second or five-second bar independently, the script aggregates this granular data into user-defined clusters, typically ranging from thirty seconds to five minutes depending on the chosen resolution and cluster settings. This clustering approach serves a dual purpose: it reduces noise inherent in tick-level data while preserving the essential information about volume distribution and directional bias within each period. By requesting lower timeframe data using TradingView's security function with the lower_tf parameter, the indicator gains access to intrabar information that would otherwise be invisible on standard chart timeframes. This is where the real power emerges, as each cluster becomes a window into the micro-structure of order flow, revealing whether buyers or sellers were more aggressive during specific price ranges.
3. The volume delta calculation methodology employed in this script is particularly noteworthy for its pragmatic approach to estimating buy versus sell volume in the absence of true tape reading data. Since most retail platforms, including TradingView, do not provide genuine bid-ask level execution data, the indicator uses a price-weighted approximation that assumes closes near the high of a bar represent buying pressure while closes near the low indicate selling pressure. The formula divides volume proportionally based on where the close occurred within the bar's range, creating synthetic buy and sell volume metrics. While this approximation has limitations compared to actual Level 2 data or time and sales information, it provides a remarkably consistent proxy for directional pressure when analyzed across multiple bars and clusters. The aggregation of these individual bar calculations into cluster-level metrics creates a smoothed representation of flow that filters out the random noise of individual transactions while highlighting persistent directional bias.
4. What makes this approach particularly valuable for retail traders is how it addresses the fundamental information asymmetry that exists in modern markets. Institutional traders have access to sophisticated order flow tools, dark pool data, and execution algorithms that provide real-time visibility into supply and demand imbalances. Retail traders, conversely, typically rely on delayed price charts and basic technical indicators that show only the outcome of these battles rather than the battle itself. The Institutional Flow Journey v2 bridges this gap by reconstructing order flow narratives from publicly available price and volume data. When the indicator identifies absorption at lows, it is detecting a pattern where significant volume traded at depressed price levels but prices failed to continue lower, suggesting that institutional buyers stepped in to absorb all available selling pressure. This is precisely the type of behavior that precedes significant reversals, as it indicates a shift in the balance of power from sellers to buyers at a specific price zone.
5. The concept of absorption zones represents one of the most sophisticated elements of this indicator's analytical framework. The script divides each session's price range into quartiles and focuses particular attention on the bottom twenty-five percent and top twenty-five percent of the range. These zones are not arbitrary; they represent areas where price tested extremes and where the market's response to those extremes reveals critical information about participant intentions. When price reaches the lower zone and significant volume trades there, the script analyzes the composition of that volume. If buy volume dominates or approaches parity with sell volume despite being at session lows, this indicates absorption—institutional players are willing to accumulate positions at depressed prices. The script quantifies this by calculating volume ratios relative to average cluster volume, delta percentages within the zone, and buy-to-sell ratios. The combination of these metrics creates a multi-dimensional view that goes far beyond simple support and resistance concepts.
6. Exhaustion analysis forms the second pillar of the indicator's edge-generating methodology. Unlike absorption, which focuses on volume composition at price extremes, exhaustion analysis examines the temporal pattern of buying or selling pressure as price approaches and leaves those extremes. The script calculates average sell volume in the clusters immediately preceding the session low and compares this to average sell volume in clusters immediately following the low. A significant decrease in selling pressure after the low indicates seller exhaustion—the participants who were aggressively pushing price lower have either completed their selling or lost conviction. This creates a vacuum that often leads to rapid reversals as even modest buying pressure encounters diminished resistance. The same logic applies inversely at session highs, where declining buy volume after the peak suggests buyer exhaustion. By quantifying these pressure changes as percentage deltas, the indicator provides objective measures of phenomena that discretionary traders might sense intuitively but struggle to quantify systematically.
7. The journey metrics component adds a dynamic dimension to what would otherwise be a static zone analysis. Once the script identifies session extremes and analyzes the absorption and exhaustion characteristics at those levels, it then tracks how price has developed since leaving those zones. The delta since low metric accumulates the net buying or selling pressure across all clusters that have formed since the session low was established. If this cumulative delta is strongly positive and growing, it confirms that the initial absorption and exhaustion signals were genuine precursors to a trend change rather than temporary imbalances. The script also counts directional clusters, tallying how many bullish versus bearish periods have formed since each extreme. A healthy recovery from a low should show predominantly bullish clusters with strong cumulative positive delta, while a distribution phase after a high should show the inverse. These journey metrics transform static level analysis into a narrative framework that tracks the market's evolving story bar by bar.
8. The scoring system that synthesizes all these analytical threads into actionable signals represents the indicator's practical edge for trading decisions. Rather than relying on a single metric or threshold, the script employs a weighted scoring approach that considers absorption presence, exhaustion confirmation, recovery or pullback degree, delta characteristics, cluster directional bias, and position relative to the session's volume-weighted average price. Bull scores accumulate points when absorption appears at lows, selling exhausts, price recovers significantly from lows, delta turns positive, winning clusters dominate the journey from the low, and price trades above VWAP. Bear scores accumulate through the inverse conditions. The relative magnitude of these scores, combined with specific combinations of high-value signals, determines the final classification ranging from strong accumulation to strong distribution, with various intermediate states of bullish lean, bearish lean, and neutral conditions. This multi-factor approach reduces false signals that plague single-metric systems while increasing confidence when multiple confirming factors align.
9. The emphasis on using one-second intrabar resolution deserves particular attention as it fundamentally impacts the quality and reliability of the analysis. When the script operates on one-second data, each cluster of sixty seconds contains sixty individual data points, each representing a discrete moment in price discovery. This granularity allows for highly accurate volume delta calculations because the approximation errors in any single second are minimized through the law of large numbers when aggregated across sixty readings. More importantly, one-second data captures institutional order flow with minimal latency. Large institutional orders, even when sliced into smaller pieces by execution algorithms, leave footprints across multiple seconds that become visible in the micro-structure. A five-hundred-lot accumulation order might execute over two minutes, appearing as consistent buying pressure across a hundred and twenty one-second bars clustered into two sixty-second periods. On a five-second or fifteen-second resolution, much of this granular information blurs together, reducing the indicator's ability to distinguish genuine persistent flow from random volatility. The computational cost of processing one-second data is negligible on modern systems, making this the optimal choice for traders seeking maximum analytical precision.
10. The practical application of this indicator in real trading scenarios involves understanding both its strengths and the market contexts where it provides maximum edge. The indicator performs best during range-bound sessions where price tests both highs and lows, creating the absorption zones and exhaustion patterns that form the basis of its analysis. In strong trending markets that never test significant support or resistance, the indicator may remain neutral or provide late signals as it requires price to establish extremes before analyzing behavior at those levels. This characteristic actually serves as a protective feature, keeping traders out of difficult-to-trade environments where reversal patterns are less reliable. When the indicator flashes its strongest signals—strong accumulation or strong distribution—the alignment of absorption, exhaustion, recovery, and positive delta creates a high-probability setup that justifies aggressive position sizing. The intermediate signals like "absorbing at lows" or "sellers exhausted" represent earlier-stage patterns that might be suitable for scaling into positions or heightened monitoring rather than full commitment.
11. Integration with other analytical frameworks significantly enhances the indicator's practical utility. While the Institutional Flow Journey v2 provides exceptional insight into micro-structure and order flow, combining it with higher timeframe structural analysis creates a powerful multi-timeframe edge. For example, if the daily chart shows price approaching a key support level and the intraday indicator begins showing absorption at lows with seller exhaustion on one-second clusters, the confluence of structural and flow-based signals multiplies the probability of a significant reversal. Similarly, pairing the indicator with order block analysis or liquidity pool mapping helps identify where institutional players might be targeting for their accumulation or distribution activities. The indicator's VWAP integration already provides one layer of this context, as institutional traders commonly use VWAP as both a benchmark and a tactical reference point, making its inclusion in the scoring system particularly relevant.
12. The visual presentation of the analysis through both the dashboard and on-chart elements demonstrates thoughtful design that balances information density with usability. The dashboard provides a comprehensive view of all analytical components, allowing traders to understand not just the final signal but the underlying evidence supporting that conclusion. This transparency is crucial for building trust in the indicator's logic and for educational purposes as traders learn to recognize these patterns independently. The zone boxes overlaid on the chart provide immediate visual context about where absorption or distribution occurred relative to current price, while the VWAP line offers a real-time reference for bias. The color-coding throughout the interface uses conventional green for bullish and red for bearish elements, reducing cognitive load and allowing quick interpretation during fast-moving markets. The signal strength visualization helps traders distinguish between high-conviction setups worthy of larger risk and lower-conviction ideas suitable for reduced size or paper trading.
13. From a risk management perspective, the indicator's graduated signal framework aligns well with position sizing principles. Strong accumulation signals with scores of six or higher and confirmed absorption plus exhaustion might justify position sizes at the upper end of a trader's risk tolerance, perhaps two to three percent of capital on the trade. Lean bullish signals with scores in the three to four range might warrant more conservative sizing at one percent or less. The neutral classification serves as an explicit instruction to preserve capital and avoid forcing trades when edges are absent. This built-in risk guidance helps traders avoid the common pitfall of treating all signals as equally valid, a mistake that often leads to giving back profits from high-quality setups on mediocre trades. The alert conditions for the strongest patterns enable traders to monitor multiple instruments without constant chart observation, expanding opportunity capture across a broader universe of potential trades.
14. The indicator's contribution to the Pine Script ecosystem extends beyond its immediate trading utility into the realm of education and free to use innovations. The code structure demonstrates advanced Pine Script techniques including multi-dimensional array management, complex conditional logic, dynamic table rendering, and sophisticated lower timeframe data handling. For developers, studying this script provides a masterclass in organizing complex analytical workflows within Pine Script's unique programming constraints. The separation of concerns into distinct phases—data collection, cluster building, zone analysis, exhaustion detection, journey tracking, scoring, and visualization—creates maintainable code that other developers can adapt for their own analytical needs. The comprehensive commenting throughout the script further enhances its educational value, explaining not just what the code does but why specific approaches were chosen.
15. The philosophical approach underlying this indicator challenges the conventional wisdom that retail traders should stick to simple moving averages and basic momentum indicators. While simplicity has its place, especially for beginners, the reality of modern markets is that edges are increasingly difficult to find and maintain. The proliferation of algorithmic trading and the professionalization of retail trading through education and better tools means that obvious patterns get arbitraged away quickly. Indicators like the Institutional Flow Journey v2 represent the next evolution in retail technical analysis, bringing institutional-grade concepts within reach of individual traders willing to invest time in understanding more sophisticated market mechanics. The learning curve is steeper than basic indicators, but the potential edge justifies the investment for serious traders committed to long-term profitability.
16. The script's handling of data limitations and approximations reveals mature design thinking about the real-world constraints of retail trading infrastructure. Rather than claiming to provide perfect order flow data that would require exchange-level access, the indicator makes reasonable approximations and combines multiple imperfect metrics to arrive at robust conclusions. This ensemble approach, where multiple independent measures must align to generate the strongest signals, creates a system that is greater than the sum of its parts. Even if the buy-sell volume approximation is only seventy percent accurate and the exhaustion detection occasionally produces false positives, the requirement that both confirm alongside other factors dramatically reduces the likelihood that all metrics would simultaneously generate false positives. This principle of convergent validation mirrors how institutional research teams operate, requiring multiple analysts using different methodologies to reach similar conclusions before committing significant capital.
18. The temporal aspects of the indicator's design also merit consideration, particularly regarding the cluster duration parameter. The default sixty-second clusters represent a sweet spot for intraday trading, providing enough aggregation to smooth random noise while maintaining sufficient granularity to catch institutional flow patterns. Traders on different timeframes might experiment with this parameter—scalpers might prefer thirty-second clusters for faster signal generation, while position traders working off fifteen-minute or hourly charts might extend clusters to two or three minutes. The key is maintaining the relationship between the underlying data resolution and the cluster period. Thirty-second clusters work best with one-second data, which provides thirty data points per cluster. Using thirty-second clusters with fifteen-second data would yield only two data points per cluster, insufficient for meaningful statistical analysis. This relationship underscores again why one-second resolution provides optimal results across the widest range of cluster settings.
19. Looking at the indicator through the lens of market microstructure theory, it effectively operationalizes concepts from academic research on order flow and price discovery. The absorption detection mirrors studies on iceberg orders and hidden liquidity, where large institutional players place orders beyond what is visible in the order book, absorbing all incoming flow at specific price levels without revealing their full intentions. The exhaustion patterns relate to theories of inventory management by market makers and the depletion of available liquidity at price extremes. The journey metrics connect to momentum and trend continuation research, examining how price develops after significant events. By synthesizing these academic concepts into a practical trading tool, the indicator bridges the gap between theoretical market understanding and actionable trading methodology. This academic grounding provides confidence that the patterns being detected have sound theoretical foundations rather than being mere curve-fitted historical artifacts.
20. In the broader context of trading system development, this indicator serves as an excellent foundation for a complete trading methodology. A trader could build an entire approach around waiting for the strong accumulation or strong distribution signals, using them as entry triggers with clearly defined stops and targets. The position of price relative to the session range provides natural stop placement—accumulation signals near session lows might use a stop just below the absorption zone, while distribution signals near session highs would place stops above the distribution zone. Profit targets might reference the opposite extreme of the session range or previous day's value areas. The indicator's frequent updates as new clusters form provide dynamic information for trade management, allowing traders to exit if absorption fails to hold or if exhaustion reverses into renewed pressure in the original direction. This complete framework from signal generation through risk management to trade management represents a significant advantage over indicators that only provide entries without guidance on the complete trade lifecycle.
21. The indicator ultimately delivers substantial value to the Pine Script universe and the retail trading community by making sophisticated order flow analysis accessible without requiring expensive third-party platforms or institutional-level data feeds. It demonstrates that with creative thinking and sound methodology, retail traders can construct powerful analytical tools using only the data available through standard charting platforms. The open-source nature of Pine Script means that traders can examine every line of code, understand exactly how signals are generated, and modify the logic to suit their specific trading styles and market preferences. This transparency and customizability represent a profound democratization of trading technology, shifting power from proprietary black-box systems toward open, verifiable, community-driven innovation. For traders willing to invest the time to understand its mechanics and apply it thoughtfully within a comprehensive trading plan, the Institutional Flow Journey v2 offers a genuine edge in the ongoing challenge of extracting consistent profits from financial markets.
Aegis MTF Anchor BandsAegis MTF Anchor Bands（神盾多周期结构锚点）— 非重绘多周期参考层工具
概述
本脚本用于在同一张图表上展示多个时间周期的结构参考层（Anchor Layers），以非重绘方式将不同周期的参考带与参考线映射到当前周期，减少频繁切换周期带来的上下文断层。脚本提供结构一致性（Confluence）仪表盘，用于快速识别多周期锚点的“聚合/分散”状态。
核心输出
Anchor Band（参考带）： 同一周期的两条结构锚点之间形成水平延伸的参考范围，用于观察价格处于结构区间内部/外部的状态。
Anchor Line（参考线）： 关键结构锚点以水平延伸方式显示，便于检查多周期一致性与冲突。
State Coloring（状态配色）： 参考层颜色根据价格与该周期结构锚点的相对位置变化，用于状态提示（不构成交易信号）。
Confluence Dashboard（结构一致性面板） ：输出数值评分与 Low/Med/High 三档状态，辅助判断多周期锚点是否集中重叠。
如何使用
趋势过滤： 多周期锚点方向与位置更一致时，结构一致性通常更强；冲突增多时更容易进入震荡或切换阶段。
回撤观察： 价格回撤时与参考带/参考线的交互，可用于评估回撤是否仍在结构可接受范围内。
结构区域识别： 当锚点高度重叠（Confluence 较高）时，往往对应关键结构区，需要结合周期与品种确认。
限制
该工具用于结构观察与信息整合，不预测未来价格，不保证信号有效性。请结合风险控制与交易计划使用。
English (brief)
Aegis MTF Anchor Bands — Non-Repainting Multi-Timeframe Reference Layers (Invite-only)
Overview
This script visualizes multiple timeframe anchor layers on a single chart using non-repainting MTF data requests. It aligns extended anchor bands and lines to the active chart to reduce context loss from frequent timeframe switching. A built-in Confluence dashboard summarizes multi-timeframe clustering vs. dispersion.
Outputs
Anchor Bands, Anchor Lines, state coloring based on anchor-relative location (not a trading signal), and a Confluence dashboard with a numeric score plus Low/Med/High states.
Limitations
Analytical visualization tool only. Not predictive and not financial advice.
stelaraX - TrendFriendstelaraX – TrendFriend is a fast, visually clean trend indicator based on a 6-moving-average cluster. Market direction is determined using a robust fast-vs-slow system: as soon as multiple fast MAs consistently move above or below the baseline, TrendFriend switches into a bullish or bearish state.
The current trend becomes instantly visible through a dynamic MA cloud with gradient bands, trend-colored candles, and precise trend-change labels (“Bull” / “Bear”). Integrated alerts allow for push notifications, email alerts, or webhook automation whenever the trend changes.
TrendFriend is ideal as a trend filter for pullback trades, trend continuation setups, and structured directional bias decisions across Forex, crypto, indices, and commodities.
This script is provided by invitation only.
🔹 Request Access:
Please send me a E-Mail to hello@stelarax.com including your TradingView username and a short note about which market and timeframe you intend to use the indicator on.
🔹 Access Approval:
Access is granted manually after review. Once approved, you will receive a notification directly from TradingView.
🔹 Important Notes:
The source code is protected and not publicly accessible.
Redistribution, duplication, or resale of this script is strictly prohibited.
This indicator does not constitute financial or investment advice and is intended solely as an analysis and visualization tool.
Use of this script is at your own risk.
🔹 Support & Updates:
Active users receive access to updates and ongoing improvements as part of the continuous development of stelaraX.
Triple MA Alignment [odnac]
Overview
The Triple MA Alignment indicator is a powerful tool designed to visualize and analyze the alignment of three moving averages (MAs) with customizable types and lengths. It helps traders identify trends and potential reversal points by displaying the relative positions of three MAs and marking specific alignment patterns on the chart. This indicator is ideal for traders looking to understand market momentum and trend direction through moving average crossovers and alignments.
Features
Customizable Moving Average Types: Choose from Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA/RMA), Weighted Moving Average (WMA), or Volume-Weighted Moving Average (VWMA).
Flexible MA Lengths: Adjust the lengths of three moving averages to suit your trading strategy (default lengths: 7, 25, 99).
Alignment Detection: Identifies six unique MA alignment patterns (A1 to A6) based on the relative positions of the three MAs.
Visual Cues: Plots MAs on the chart with distinct colors and marks alignment patterns with shapes and labels for easy interpretation.
Special Signals: Highlights specific transitions (e.g., "P" and "B" for A1, "P" and "S" for A4) to indicate potential trend changes or continuations.
How It Works
The indicator calculates three moving averages based on user-selected type and lengths. It then analyzes their relative positions to detect six possible alignment patterns:
A1 (1-2-3): MA1 > MA2 > MA3 (Strong bullish alignment)
A2 (2-1-3): MA2 > MA1 > MA3
A3 (2-3-1): MA2 > MA3 > MA1
A4 (3-2-1): MA3 > MA2 > MA1 (Strong bearish alignment)
A5 (3-1-2): MA3 > MA1 > MA2
A6 (1-3-2): MA1 > MA3 > MA2
When an alignment occurs, a shape (square, diamond, or circle) is plotted at the top or bottom of the chart, depending on the pattern. Additionally, when the alignment changes, a text label (e.g., "2", "3", "5", "6") is displayed to highlight the new pattern. Special signals ("P", "B", "S") are plotted for specific transitions to indicate potential trading opportunities.
Settings
Show Triple MA: Toggle to display or hide the three moving averages on the chart.
Show Triple MA Edge: Toggle to display or hide alignment shapes and labels.
MA Length 1, 2, 3: Set the periods for the three moving averages (default: 7, 25, 99).
MA Type: Select the moving average type (SMA, EMA, SMMA, WMA, VWMA).
Usage
Add the Indicator: Apply the indicator to your TradingView chart.
Adjust Settings: Customize MA lengths and type to match your trading style (e.g., shorter lengths for scalping, longer for swing trading).
Interpret Alignments:
A1 (Green Square): Indicates a strong bullish trend, often a signal to consider long positions.
A4 (Red Square): Indicates a strong bearish trend, often a signal to consider short positions.
A2, A3, A5, A6: Represent transitional or consolidation phases, useful for identifying potential reversals or continuations.
Special Signals (P, B, S): Watch for "P" (Pullback), "B" (Breakout), or "S" (Sell) labels for additional context.
Combine with Other Tools: Use alongside support/resistance levels, volume analysis, or other indicators for confirmation.
FVG & OB [odnac]This indicator is a sophisticated tool designed for Smart Money Concepts (SMC) traders. It automates the detection of two critical institutional footprints: Order Blocks (OB) and Fair Value Gaps (FVG), with a focus on candle momentum and mitigation tracking.
Key Features
1. Advanced Momentum Filtering (3 Versions)
Unlike basic indicators, this script uses three different mathematical approaches to ensure the middle candle represents a "strong" move:
V1 (Body Focus): Compares the bodies of the surrounding candles to the middle candle.
V2 (Hybrid): Uses a mix of candle ranges and bodies to identify expansion.
V3 (Range Focus): The most aggressive filter; it ensures the total range of the middle candle dwarfs the surrounding candles.
2. Automatic Mitigation Tracking
The indicator doesn't just draw static boxes. It tracks price action in real-time:
Dynamic Extension: Boxes extend to the right automatically as long as price has not returned to "test" or "fill" the zone.
Smart Clean-up: Once the price touches the zone (Mitigation), the box stops extending or is removed. This keeps your chart clean and focused only on "fresh" (unmitigated) levels.
3. Smart Money Concept Integration
Order Blocks (White Boxes): Identifies where institutional buying or selling occurred before a strong move.
Fair Value Gaps (Yellow Boxes): Highlights price imbalances where the market moved too fast, leaving a gap that often acts as a magnet for future price action.
Technical Logic Breakdown
Detection Logic
The script looks at a 3-candle sequence:
Candle (The Origin): Defines the boundary of the OB or FVG.
Candle (The Expansion): Must be a "Strong Candle" based on your selected setting (V1, V2, or V3).
Candle (The Confirmation): Ensures that the "Tail Gap" condition is met (the wick of Candle 2 and Candle 0 do not touch).
Box Management
The script uses Pine Script Arrays to manage up to 500 boxes. It constantly loops through active boxes to check:
Time Limit: If a box exceeds the max_bars_extend limit, it is removed to save memory.
Price Touch: If low or high enters the box coordinates, the zone is considered "mitigated" and the extension stops.
Simple PDH / PDL Clean Entries (NZ Time)Simple PDH / PDL Liquidity Entry Indicator
This indicator is designed for clean, stress-free intraday trading on Gold. It identifies high-probability buy and sell opportunities based on a liquidity sweep and reclaim of the previous day’s high or low (PDH / PDL). Signals are limited to one trade per session using New Zealand time, helping prevent overtrading. Each signal prints a clear BUY or SELL icon directly on the candle, along with a concise label showing entry price, stop loss, and take profit. No indicators, no clutter — just key levels, disciplined execution, and institutional-style simplicity.
SFP SCANNERV2==============================
📌 SFP SCANNER — QUICK GUIDE (EN)
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🎯 Goal
Automatically scan Swing Failure Patterns (SFPs) on pivot-based support and resistance levels, using a multi-timeframe, structural and filterable approach.
👉 This indicator is designed to be mainly used with alerts on watchlists.
The more permissive the filters are, the more signals (and noise) you will get.
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🧱 1) Pivot Levels — Pivot Timeframe
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Levels are built using classic pivots.
Settings:
• Pivot timeframe: timeframe used to compute pivots (e.g. 4H)
• Pivot source:
- Wicks = highs / lows
- Closes = closing prices
• Left / Right: number of bars required to validate a pivot
➡️ A pivot is confirmed only after “Right” bars.
👉 Recommendation: minimum 15 / 15 on H4.
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🎨 Level Display
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• Pivot High → resistances
• Pivot Low → supports
• Colors, width and style are visual-only settings
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📍 2) SFP Detection — Counting Timeframe
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SFPs are detected on the “Counting timeframe”, regardless of the chart timeframe.
Bearish SFP (resistance):
1) Close above the level (breakout)
2) Close back below the level (reclaim)
3) Breakout duration must respect:
- Min bars breakout
- Max bars breakout
(counted in counting timeframe bars)
Bullish SFP (support):
Mirrored logic:
1) Break below
2) Reclaim above
3) Min / Max bars respected
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🧠 3) Trend Filter — Moving Averages (optional)
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If enabled:
• MA50 > MA200 → only Bullish SFPs allowed
• MA50 < MA200 → only Bearish SFPs allowed
Settings:
• MA timeframe:
- Blank = counting timeframe
- Recommended: pivot timeframe
• MA type: SMA or EMA
• Fast / Slow MA: default 50 / 200
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🧱 4) Structural Support / Resistance Filter
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This filter is independent from the MA filter.
Structure pivots count (N):
• Number of consecutive supports / resistances used to validate structure.
Checkbox logic (restrictive):
👉 If no checkbox is selected → all SFPs are allowed.
Bullish SFPs allowed if:
• Supports are rising
• Resistances are rising
Bearish SFPs allowed if:
• Resistances are falling
• Supports are falling
➡️ Each checkbox acts as an independent restriction.
At least one selected condition must be true to allow the SFP.
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🛑 5) Anti-spam
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• One-shot per level
➡️ Once triggered, the level is considered consumed.
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🔎 6) Levels to Scan
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• Number of recent pivot levels (supports + resistances) checked for SFP detection.
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🕒 7) Multi-timeframe Display
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Regardless of the chart timeframe:
• Chart > Counting timeframe:
A lower-timeframe SFP is displayed on the higher-timeframe candle.
• Chart = Counting timeframe:
The SFP appears directly on the candle at close.
• Chart < Counting timeframe:
The signal is displayed at the opening of the next counting timeframe candle.
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🔔 TradingView Alerts
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• Bullish SFP
• Bearish SFP
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⚙️ Suggested Settings (Day trading / 1–2 day swing)
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• Pivot timeframe: 4H
• Counting timeframe: 15m (or 5m for more signals)
• Levels to scan: 1 to 2
• Structure pivots count (N): 2 to 3
• Min bars breakout: 2 to 3
• Max bars breakout: 5 to 10
✅ Happy scanning and good trades! 😄
