Smart WaveTrend Crossover█ OVERVIEW
Smart WaveTrend Crossover is an indicator based on WaveTrend crossovers, designed to reduce the number of false signals typically produced by classic oscillator crossovers.
Instead of triggering a signal immediately at the line crossover, the indicator requires additional confirmation in the form of a price breakout from a box, created at the moment of the WaveTrend signal.
The script also includes:
- a trend filter based on a separate WaveTrend
- “fog” visualization
- candle coloring based on trend direction
- fully configurable entry signals
- automatic Take Profit / Stop Loss levels
- a real-time TP/SL table
█ CONCEPTS
Classic WaveTrend crossovers often generate noise, especially during consolidation.
Smart WaveTrend Crossover attempts to address this issue using a breakout confirmation mechanism:
- at the moment WT1 crosses WT2, a horizontal price box is created
- a trade signal is generated only when price closes outside the box
- an optional trend filter limits signals to the dominant market direction
The trend filter is built on a WaveTrend crossover using larger, slower parameters, independent from the signal-generating WaveTrend.
This allows short-term momentum to be separated from the broader market direction, and all trend filter parameters can be freely adjusted.
WaveTrend signal settings are not identical to the original / classic values.
They are configured to generate a higher number of signals, which works better in combination with breakout boxes and confirmation logic.
Signal sensitivity can be easily adjusted by modifying channel length and averaging parameters.
By default, show_only_matching is enabled:
- bullish crossover → bullish breakout only (BUY)
- bearish crossover → bearish breakout only (SELL)
█ FEATURES
WaveTrend (Signals & Trend):
- two independent WaveTrend setups:
- one for signal generation
- one for trend determination
- signal parameters configured more aggressively than classic defaults
- trend filter based on a slower WaveTrend crossover
- trend direction visualized using directional fog, not a histogram
WaveTrend Input Explanation:
- Channel Length – controls WaveTrend reaction speed (shorter = more signals)
- Average Length – smoothing of the main WT1 line
- MA Length – smoothing of the signal line WT2
- Source – price source used in calculations (default: hlc3)
Fog (Visualization):
- visual representation of market pressure in the direction of the trend
- fog height based on average candle size × offset_mult
- adjustable transparency or fully disableable
Breakout Boxes:
- a box is created on every WaveTrend direction change
- default height based on the signal candle range
- optional box expansion using average candle size × box_multiplier
Signals:
- triangles or “BUY / SELL” labels
- direction matching filter (show_only_matching)
- option to display all breakouts regardless of crossover direction
- built-in BUY and SELL alerts
Visual Settings:
- candle coloring based on WaveTrend trend direction
- full control over bullish and bearish colors
Risk Management – TP / SL:
- automatic TP1, TP2, TP3 and SL levels
- two calculation modes:
- Candle Multiplier – based on average candle range
- Percentage – percentage from entry price
- separate parameters for each level
- TP/SL lines drawn on the chart
- real-time TP/SL price table
█ HOW TO USE
Add the indicator to your TradingView chart → Indicators → search “Smart WaveTrend Crossover”
Key settings:
- WaveTrend Settings for Signals – signal sensitivity
- WaveTrend Settings for Trend – market direction filter
- Signal Settings – signal type and box logic
- Fog – pressure visualization
- Risk Management – TP/SL configuration
Signal meaning:
- BUY → upward breakout from a box after a bullish crossover
- SELL → downward breakout from a box after a bearish crossover
- visible boxes → breakout watch zones
- fog and candle color → current market direction
█ APPLICATIONS
Standalone entry system
- entering directly on BUY / SELL signals
- or entering on trend color change
Filter for price-action strategies
- using WaveTrend signals as directional confirmation
- e.g. level breakout + WaveTrend confirmation = entry
Trend indicator
- trading other tools only in the direction of the WaveTrend trend
- e.g. RSI breaks above 50 while WaveTrend trend is bullish
█ NOTES
- Default settings are a starting point and may require adjustment
- The indicator works best as part of a broader trading system
Pengayun
BUY SELL Trend Confirm✅ Description
BUY SELL Trend Confirm is a smart trend-following tool designed to identify strong market momentum and confirm trend direction before signaling entries.
✅ Features & Benefits
✔ Clear Buy & Sell Signals
Get precise entry and exit points with visual arrows and real-time alerts, so you never miss an opportunity.
✔ Trend Confirmation
Avoid false signals by trading only when the trend is strong—highlighted with dynamic background colors for easy recognition.
✔ Visual Zone Coloring
See bullish and bearish zones instantly with color-coded areas, helping you gauge market strength at a glance.
✔ Integrated Alerts
Set up pop-up and sound notifications in TradingView for hands-free monitoring and faster decision-making.
✔ Multi-Timeframe Versatility
Perfect for swing trading, intraday setups, and scalping strategies across 15m, 30m, 1H, and 4H charts.
✔ Simple & Clean Design
No clutter—just actionable signals and trend clarity for confident trading.
✅ How to Use:
Enter when a Buy or Sell signal appears with trend confirmation.
Exit when the opposite signal appears or trend weakens.
Combine with your risk management for optimal results.
“BUY SELL Trend Confirm – A visual trend confirmation tool for confident trading decisions.”
Rachev Regime AnalyzerRachev Regime Analyzer ~ GForge
What It Does
Measures the ratio of extreme gains to extreme losses to identify whether markets favor bulls or bears. When your best moves are bigger than your worst moves, conditions are bullish. When the opposite is true, conditions are bearish.
Simple Interpretation:
Ratio > 1.2 → Bullish regime (tail gains exceed tail losses)
Ratio < 0.8 → Bearish regime (tail losses exceed tail gains)
Between → Neutral/transitional
Key Features
Two Modes:
Single Asset: Analyze current chart
Multi-Asset: Aggregate regime across 5 assets with custom weights (great for gauging overall crypto/market conditions)
Customizable:
Lookback period (20-200 bars)
Tail percentile (what counts as "extreme")
Bullish/bearish thresholds
6 color schemes
Optional MA smoothing
Visual Signals:
Buy/sell markers at threshold crosses
Background regime coloring
Info table with current values and confidence score
Configurable alerts
How to Use
Choose lookback period based on your timeframe (40-60 bars is a good start)
Watch for threshold crosses - these mark regime changes
Check confidence score - higher = more reliable
Use multi-asset mode to see if entire market is shifting (not just one coin)
Best combined with: Trend indicators, support/resistance, volume analysis
Parameters
Lookback: More bars = smoother, less responsive
Alpha (0.10): Defines extreme events - lower = more extreme
Thresholds: Adjust based on asset volatility
Return Type: Log returns recommended for most assets
What Makes It Useful
Unlike simple volatility measures, this shows asymmetry - whether extreme moves favor upside or downside. A ratio of 1.5 means your extreme gains are 50% larger than extreme losses - that's actionable information about risk-reward dynamics.
Multi-asset aggregation is particularly powerful for crypto traders wanting to gauge if BTC, ETH, SOL, etc. are all showing similar regime characteristics.
Disclaimer
Educational tool only. Not financial advice. Use proper risk management. No indicator works in isolation - always consider broader market context.
Developed by GForge
Comments and feedback welcome! 👍
UT Bot Indicator - EMA200 + RSI Filter (v6)UT Bot Indicator – EMA200 + RSI Filter + ATR Trailing Stop (v6)
A precision trend–momentum trading framework for FX, Gold & Indices
Overview
The UT Bot Indicator (v6) combines the proven ATR-based trailing stop engine of the UT methodology with multi-layer trend confirmation and momentum filtering.
This version introduces:
Higher-timeframe trend alignment using EMA 200
Momentum qualification using RSI
Optional Heikin Ashi smoothing
Automatic virtual SL/TP projection for each trade signal
The goal is to reduce false signals during ranging phases while preserving trend capture efficiency in volatile markets such as XAUUSD, GBPUSD, NASDAQ, DXY, BTC.
Core Logic
The indicator tracks dynamic price structure using ATR-based stop recalculation, switching bias only when the candle decisively crosses the trailing boundary.
Signals are validated only when:
Price direction matches the trailing stop reversal
Price is aligned with long-term trend (EMA200)
RSI confirms market momentum direction
This layered confirmation improves trade quality while maintaining responsiveness.
Signal Conditions
Condition Long (Buy) Short (Sell)
Price & ATR Structure Price crosses above trailing stop Price crosses below trailing stop
Trend Direction Close > EMA200 Close < EMA200
Momentum Filter RSI > Buy Threshold RSI < Sell Threshold
Once triggered, the indicator displays virtual SL & TP levels based on the configured percentage targets, allowing traders to visually manage trade lifecycle without repainting.
Best Use Cases
Trend continuation entries after pullbacks
Swing & intraday trading on liquid instruments
High-volatility assets (e.g. Gold / US100 / Crypto)
Filtering low-probability signals in ranging markets
Recommended Settings
Market Key Value ATR Period Notes
Forex 1.0 – 1.5 10–14 Balanced responsiveness
Gold & Indices 1.0 – 2.0 10–20 Reduces noise in volatility spikes
Crypto 1.5 – 3.0 14–21 Smooths erratic candle structure
Alerts Included
UT Long / UT Short
Long / Short Take-Profit Hit
Long / Short Stop-Loss Hit
Enables FTMO-style rule automation, trade management bots, and custom alert workflows.
Disclaimer
This indicator does not repaint, but like any analytical tool it should be used within a structured risk-management framework.
Backtest thoroughly before deploying in live markets.
If you like this version
⭐ Add to favorites
📌 Follow for future releases
💬 Comment your market results for optimization benchmarks
BE-Synergistic RSI Fusion Strategy█ Overview of the Script:
The Synergistic RSI Fusion Strategy is a sophisticated technical analysis tool designed to detect market turning points (reversals) and high-momentum breakouts. Unlike standard indicators that simply tell you to "Buy" or "Sell" based on a crossed line or overbought/oversold levels, this script builds a structural trade setup using zones. It waits for price action to confirm the signal before acting.
█ Why "Synergistic RSI Fusion"?:
The core engine of the indicator makes it all:
Fusion : Standard RSI only looks at the closing price relative to the previous closing price. This script calculates a comprehensive RSI that incorporates the candle's Highs and Lows.
Why is this more powerful? Imagine a "Hammer" candle where price drops significantly during the session but recovers to close near the open. A standard RSI sees almost no change because the Close is near the Open. However, Fusion RSI captures the full volatility of that dip and recovery, recognizing the massive "effort" and hidden battle between buyers and sellers that standard RSI completely misses.
Synergy : It combines this advanced momentum reading with ATR (Average True Range) to define volatility-based entry and exit zones. It blends momentum (RSI) with market structure (Price Action Zones).
█ How it Stands Unique:
The Core engine: Capturing the true efforts of the movement in price.
Multi-Peak Divergence: Instead of simple A-to-B divergence, this script uses a state machine to track local peaks by filtering out weak signals and waits for a significant disagreement between price and momentum.
The Zone System: It doesn't plot signals blindly. When divergence is found, it draws two "waiting rooms" (Green and Red zones). The trade is only taken if the candle closes inside one of these zones.
█ Divergence Trades: The Two-Way Setup:
A unique feature of this script is that when a Divergence signal appears, it generates two potential entry zones: a Bullish zone and a Bearish zone.
The Rational Behind the Two-Way Approach:
New traders often assume a Divergence means "Reversal." However, experienced traders know that Divergence simply means "Tension is building."
Scenario A (The Reversal): The RSI is screaming that momentum is dying, but price is pushing higher. If price respects the divergence, it will drop into the reversal zone. This is the standard divergence trade.
Scenario B (The Failure/Trap): sometimes, momentum is so strong that it blows through the divergence. If price ignores the RSI warning and breaks into the continuation zone, it signals that the trend is incredibly powerful.
Why Trade Both Ways?
By placing zones on both sides, the script essentially says: " I know a big move is coming because of the tension (Divergence), but I will let the market prove direction first. " This prevents you from " catching a falling knife " by trying to pick the exact top or bottom.
The Counter-Trading Logic (The Trap):
The script includes advanced logic for failed trades. If you enter a trade and the Stop Loss is hit immediately (a "fake-out"), the script adjusts the opposing zone by considering the liquidity of that particular candle.
Why? If the market traps Long traders and hits their stops, that selling pressure often fuels a massive move downwards. This logic allows the script to flip bias instantly and join the real move.
█ Continuation Trends: Why Price Runs After TP:
You may notice that often, after the Take Profit (TP) is hit, the price continues to run in that direction for a long time.
The "Breakout" Effect:
The Take Profit levels in this script are calculated using ATR (Average True Range). This is a conservative target based on recent average volatility.
Structural Breaks: The entry zones are usually positioned at key structural pivots. When price has enough energy to enter the zone and hit 100% of the ATR target, it effectively confirms a Break of Structure.
Momentum Release: The Divergence phase acts like a coiled spring. When that spring finally snaps (the trade entry), the release of energy is often far greater than just one ATR unit.
Psychology: When the TP is hit, it confirms the analysis was correct. This draws in other traders and algorithms who missed the initial entry, adding fuel to the fire and extending the trend.
█ Major Support & Resistance Zone:
The untested zones are typically the safe haven to place your SLs, which definitely act as Support & Resistance once the price approaches these zones.
UT Bot Strategy - EMA200 + RSI Filter (v6)UT Bot Indicator – EMA200 + RSI Filter + ATR Trailing Stop (v6)
A precision trend–momentum trading framework for FX, Gold & Indices
Overview
The UT Bot Indicator (v6) combines the proven ATR-based trailing stop engine of the UT methodology with multi-layer trend confirmation and momentum filtering.
This version introduces:
Higher-timeframe trend alignment using EMA 200
Momentum qualification using RSI
Optional Heikin Ashi smoothing
Automatic virtual SL/TP projection for each trade signal
The goal is to reduce false signals during ranging phases while preserving trend capture efficiency in volatile markets such as XAUUSD, GBPUSD, NASDAQ, DXY, BTC.
Core Logic
The indicator tracks dynamic price structure using ATR-based stop recalculation, switching bias only when the candle decisively crosses the trailing boundary.
Signals are validated only when:
Price direction matches the trailing stop reversal
Price is aligned with long-term trend (EMA200)
RSI confirms market momentum direction
This layered confirmation improves trade quality while maintaining responsiveness.
Signal Conditions
Condition Long (Buy) Short (Sell)
Price & ATR Structure Price crosses above trailing stop Price crosses below trailing stop
Trend Direction Close > EMA200 Close < EMA200
Momentum Filter RSI > Buy Threshold RSI < Sell Threshold
Once triggered, the indicator displays virtual SL & TP levels based on the configured percentage targets, allowing traders to visually manage trade lifecycle without repainting.
Best Use Cases
Trend continuation entries after pullbacks
Swing & intraday trading on liquid instruments
High-volatility assets (e.g. Gold / US100 / Crypto)
Filtering low-probability signals in ranging markets
Recommended Settings
Market Key Value ATR Period Notes
Forex 1.0 – 1.5 10–14 Balanced responsiveness
Gold & Indices 1.0 – 2.0 10–20 Reduces noise in volatility spikes
Crypto 1.5 – 3.0 14–21 Smooths erratic candle structure
Alerts Included
UT Long / UT Short
Long / Short Take-Profit Hit
Long / Short Stop-Loss Hit
Enables FTMO-style rule automation, trade management bots, and custom alert workflows.
Disclaimer
This indicator does not repaint, but like any analytical tool it should be used within a structured risk-management framework.
Backtest thoroughly before deploying in live markets.
If you like this version
⭐ Add to favorites
📌 Follow for future releases
💬 Comment your market results for optimization benchmarks
CHAYA Gold Turbo SMC v.1
CHAYA Gold Turbo SMC v.1
"The Perfect Synergy of Speed and Smart Money Concepts"
An advanced trading indicator specifically engineered for Gold (XAUUSD) and high-volatility assets. It seamlessly integrates a high-speed Turbo Trend Tracking system with institutional Smart Money Concepts (SMC), providing you with a definitive edge in both trend direction and precision entry points.
🚀 Core Features
1. Ultra-Fast Turbo Signal
Trend Tracking: An intelligent trend calculation engine using short-term ATR values. It allows you to stay aligned with gold trends from their inception and reacts swiftly to sudden price surges.
Visual Signals: Highly visible BUY / SELL labels on the chart, complemented by Background Highlights that allow you to distinguish between bullish and bearish market conditions at a single glance.
2. Smart FVG (Fair Value Gap) Mitigation
Auto Detection: Automatically identifies price imbalances (FVG) where the price is likely to return and "re-fill."
Smart Cleaning: Featuring a unique Mitigation Logic—FVG boxes are automatically removed once the price has filled the gap. This keeps your chart clean and focused only on "Fresh Zones" that are still relevant.
3. Institutional Order Block (OB)
Identifies Order Blocks, the "footprints" of institutional players that occur before significant price movements. This helps you pinpoint high-probability reversal points or trend-continuation entries, with zones clearly labeled on the chart.
4. Dynamic Pivot Support & Resistance
Automatically plots support and resistance lines based on the latest Pivot High/Low points, helping you visualize key conflict zones where price may pause or break out.
🎯 Why Choose CHAYA Gold Turbo SMC?
Market Noise Reduction: Filters out false signals by correlating Trend direction with SMC Zones.
User-Friendly: Every function is designed for clarity and visual comfort, avoiding a cluttered interface.
Fully Customizable: Adjust signal sensitivity (ATR/Factor) to fit your preferred timeframe, whether it's M1/M5 for Scalping or H1 for Day Trading.
💡 Recommended Trading Strategy
"Trade when direction aligns with the zones"
Wait for a BUY signal to appear while the background is Green.
Look for a safe entry within the Bullish OB or FVG zones below.
Place your Stop Loss behind the Pivot support line for maximum security.
"Investment involves risk. Investors should thoroughly study the information and always be aware that there is a possibility of losing the entire principal investment. This indicator is intended to be used as a guideline and for educational purposes only; it does not guarantee any profits or specific results."
🏆 CHAYA Gold Turbo SMC v.1
"The Perfect Synergy of Speed and Smart Money Concepts"
อินดิเคเตอร์ที่ถูกออกแบบมาเพื่อการเทรดทองคำ (Gold) และสินทรัพย์ที่มีความผันผวนสูงโดยเฉพาะ โดยการผสมผสานระหว่างระบบ Turbo Trend Tracking ที่รวดเร็ว เข้ากับหลักการเทรดระดับสถาบันอย่าง Smart Money Concepts (SMC) เพื่อให้คุณได้เปรียบทั้งในด้านทิศทางราคาและจุดเข้าเทรดที่คมกริบ
🚀 คุณสมบัติเด่น (Core Features)
1. Ultra-Fast Turbo Signal
Trend Tracking: ระบบคำนวณเทรนด์อัจฉริยะที่ใช้ค่า ATR ระยะสั้น ช่วยให้คุณเกาะติดแนวโน้มทองคำได้ตั้งแต่ต้นเทรนด์ ตอบสนองไวต่อทุกการกระชากของราคา
Visual Signal: ป้ายสัญญาณ BUY / SELL ขนาดชัดเจนบนหน้าจอ พร้อมแถบสีพื้นหลัง (Background Highlight) ที่ช่วยแยกสภาวะตลาดขาขึ้นและขาลงให้คุณเห็นได้อย่างง่ายดายเพียงพริบตา
2. Smart FVG (Fair Value Gap) Mitigation
Auto Detection: ตรวจหาช่องว่างราคา (Imbalance) โดยอัตโนมัติ ซึ่งเป็นโซนที่ราคามักจะไหลกลับมาเติมเต็ม (Re-fill)
Smart Cleaning: พิเศษด้วยระบบ Mitigation Logic กล่อง FVG จะถูกลบออกโดยอัตโนมัติเมื่อราคาได้ทำการเติมเต็มช่องว่างนั้นแล้ว ช่วยให้กราฟของคุณสะอาดและโฟกัสเฉพาะโซนที่ "ยังใช้งานได้จริง" (Fresh Zones) เท่านั้น
3. Institutional Order Block (OB)
ระบุโซน Order Block หรือรอยเท้าของรายใหญ่ที่เกิดขึ้นก่อนการพุ่งตัวแรงของราคา ช่วยให้คุณหาจุดกลับตัว (Reversal) หรือจุดย่อเข้าตามเทรนด์ (Trend Following) ได้อย่างแม่นยำ พร้อมระบุชื่อโซนชัดเจนบนกราฟ
4. Dynamic Pivot Support & Resistance
ตีเส้นแนวรับ-แนวต้านจากจุด Pivot High/Low ล่าสุดให้แบบอัตโนมัติ ช่วยให้คุณมองเห็นแนวปะทะสำคัญที่ราคาอาจมีการพักตัวหรือเลือกทาง
🎯 ทำไมต้องใช้ CHAYA Gold Turbo SMC?
ลด Noise ในตลาด: กรองสัญญาณหลอกด้วยการใช้ความสัมพันธ์ระหว่าง Trend และ SMC Zones
เทรดง่าย (User Friendly): ทุกฟังก์ชันถูกออกแบบมาให้ดูง่าย สบายตา ไม่รกกราฟ
ปรับแต่งได้ (Customizable): สามารถปรับความไวของสัญญาณ (ATR/Factor) ให้เหมาะกับไทม์เฟรมที่คุณถนัด ไม่ว่าจะเป็น M1, M5 สำหรับ Scalping หรือ H1 สำหรับ Day Trade
💡 กลยุทธ์การเทรดแนะนำ
"เข้าเทรดเมื่อสัญญาณทิศทางสอดคล้องกับโซน"
รอสัญญาณ BUY ปรากฏขึ้นในขณะที่พื้นหลังเป็นสีเขียว
มองหาจุดเข้าที่ปลอดภัยในโซน Bullish OB หรือ FVG ด้านล่าง
วาง Stop Loss หลังเส้นแนวรับ Pivot เพื่อความปลอดภัยสูงสุด
"การลงทุนมีความเสี่ยง ผู้ลงทุนโปรดศึกษา และ ตระหนักเสมอว่า มีโอกาสที่เงินทุน จะหมดไปได้ อินดิเคเตอร์ นี้ มีไว้เพื่อเป็น ไกด์ไลน์ ประกอบเท่านั้น ไม่สามารถ การันตีของผลกำไรได้"
BB Squeeze - HighQToolsBBW Squeeze — HighQTools
As always, if anyone has any tips or additional features they'd like to see, feel free to reach out!
Overview
The BBW Percentile Squeeze highlights periods of exceptionally compressed volatility by measuring Bollinger Band Width (BBW) and ranking it within a rolling historical percentile. When BBW falls into the lowest portion of its own distribution, price is statistically “tight” relative to recent history—a condition that often precedes volatility expansion.
Instead of plotting an oscillator in a separate pane, this tool expresses information directly on the price chart by changing bar colors during squeeze conditions, keeping charts clean and execution-focused.
How It Works
Standard Bollinger Bands are calculated using a configurable length and standard deviation.
Band width is normalized and evaluated against a rolling lookback window.
The current width is converted into a percentile rank (0–100):
Lower percentile = tighter volatility
Higher percentile = expanded volatility
When the percentile drops below the user-defined threshold, the market is considered to be in a squeeze.
An optional RTH-only mode allows the percentile calculation to consider Regular Trading Hours bars only, which is especially useful for futures traders who want to ignore overnight volatility distortions.
Visual Signals
Squeeze Bars
Bars are recolored when BBW percentile falls below the selected threshold, indicating extreme compression.
Release Bar (optional)
The first bar exiting the squeeze can be highlighted separately, marking the resolution of compression.
No oscillator, no bands, no shapes—only context applied directly to price.
How to Use It
The squeeze itself is not a trade signal.
Squeeze conditions indicate stored energy—expect range expansion, not direction.
Focus on:
Market structure
Higher-timeframe context
Volume, delta, or acceptance/rejection
The release from squeeze often provides the best opportunity, especially when aligned with directional bias or structural breaks.
For best results, use this tool as a context filter alongside execution setups rather than as a standalone entry signal.
Recommended Settings
BB Length: 10
Std Dev: 2.0
Percentile Lookback: 200–300 bars
Squeeze Threshold: 5-10 percentile
RTH-only: Enabled for index futures
Disclaimer
This indicator is designed to provide context, not predictions. Always combine volatility information with sound risk management and a complete trading plan.
Chaya AllinOne Ver.2 For GoldChaya AllinOne Ver.2 For Gold
ผู้สร้างสนใจสินทรัพย์เพียงทองคำเท่านั้น อาจจะไม่เหมาะสม กับ สินทรัพย์ ตัวอื่น
Note: This tool is specifically optimized for Gold (XAUUSD) trading. It may not perform accurately or be suitable for other asset classes.
คำแนะนำการใช้งาน:
หากคุณเปิดใน TF เล็กๆ แนะนำ ให้ เก็บกำไร เพียงน้อย 1-3 เหรียญ จริง อาจจะได้ ถึง 5-8 เหรียญ ใน TF5m
แถบฉากหลังสีเขียว ให้เน้นฝั่ง ซื้อ และ ฉากสีแดงให้เน้นฝั่งขาย
แนะนำให้ดูเป็นแนวทาง การซื้อขายเท่านั้น และ ควรทดลองใช้ กับ บัญชี ทดลองก่อน
การลงทุนมีความเสี่ยงผู้ลงทุน ควรศึกษา ให้ เข้าใจก่อน
rading Guidelines & Instructions
Profit Targets: When trading on small timeframes (Small TF), we recommend a conservative profit target of 1–3 usd For the 5-minute timeframe (M5), you may aim for 5–8 usd
Background Signals: * Green Background: Prioritize Buy/Long positions.
Red Background: Prioritize Sell/Short positions.
Practice First: This indicator is intended as a trading guide only. We strongly advise testing it on a Demo Account before trading with real capital.
Risk Warning: Investing involves inherent risks. Please ensure you fully understand the market and the strategy before making any investment decisions.
Chaya + FVG Smart Trend Convergence
EN Description:
This All-in-One script identifies high-probability entries by merging Momentum (MACD/RSI) with Price Action (FVG).
Logic: It filters signals using an EMA trend filter. Signals (B/S) appear when momentum recovers within a trend.
Smart FVG: Automatically identifies imbalances and includes a "Mitigation Logic" to hide filled gaps, keeping the chart clean.
Usage: Buy (B) above EMA with Bullish FVG support; Sell (S) below EMA with Bearish FVG resistance. Adjust "Risk Level" to suit your strategy.
คำอธิบายภาษาไทย:
สคริปต์แบบ All-in-One ที่รวม Momentum (MACD/RSI) เข้ากับ Price Action (FVG) เพื่อหาจุดเข้าเทรดที่แม่นยำ
หลักการ: ใช้ EMA กรองเทรนหลัก สัญญาณซื้อขาย (B/S) จะคำนวณจากโมเมนตัมที่สอดคล้องกับแนวโน้ม
Smart FVG: แสดงช่องว่างราคาอัตโนมัติ พร้อมระบบ Mitigation ที่จะซ่อนกล่องเมื่อราคาเติมเต็มช่องว่างแล้ว เพื่อลดความสับสนบนกราฟ
วิธีใช้: เข้าซื้อ (B) เมื่ออยู่เหนือ EMA และมี FVG รองรับ / ขาย (S) เมื่ออยู่ใต้ EMA และมี FVG ต้านไว้ ปรับค่า Risk Level ได้ตามต้องการ
UOThis Ultimate Oscillator has 50 line preset, so we may not have to set it again on every chart we wish to apply it to...
Hope this helps!!
Confluence Strength Meter (Bull/Bear) [v6]This indicator provides a quantified "Strength Score" (0-5) for price action setups by measuring the confluence of five key technical drivers. It features a Strategy Mode toggle, allowing traders to instantly switch between Bullish (Long) and Bearish (Short) scoring logic.
How it Works: The script analyzes the following factors to build a Confluence Score:
Trend Direction: Price relation to the Slow EMA (50).
EMA Stack: Fast EMA (20) vs. Slow EMA (50) alignment.
Volume Sentiment: Price relation to the Intraday VWAP.
Momentum: MACD vs. Signal line crossover.
RSI Health: Checks for momentum in the correct direction while filtering out extreme exhaustion (Overbought/Oversold).
Features:
Visual Histogram: Color-coded bars (Green/Red for strong setups, Orange for moderate, Gray for weak) make it easy to spot high-confluence zones.
Dual Modes: Input setting to switch the entire logic engine between Bullish and Bearish detection.
Alerts: Pre-configured alert conditions for both Long and Short setups, ready for webhook integration.
Usage: Look for a score of 4 or 5 (brightly colored bars) to confirm high-probability entries in the direction of your selected trend.
Beautiful Buy / Sell IndicatorThis indicator confirms Buy / Sell signal using both Heikin Ashi and awesome oscillator together. it gives a warning for a potential buy/sell first using green/red dot. then if it is confirmed it gives the buy/sell signal using arrows and text and beautifull background colors .the warning alert helps avoiding false trades and give time to the trader to get in the trade. The indicator is customizable and you can change colors and shapes.
Ultimate Institutional Signal Detector***
# 📊 Institutional Signal Detector - Multi-Confluence Order Flow System
## 🎯 Overview
The **Ultimate Institutional Signal Detector** is an advanced multi-confluence indicator designed for professional traders who demand institutional-grade order flow analysis. This system combines three independent signal dimensions—**Whale Detection**, **Volume Exhaustion**, and **Volatility Expansion**—to identify high-probability trading opportunities with exceptional precision.
Unlike traditional volume indicators, this tool uses **Lower Timeframe (LTF) delta aggregation** and **RVOL normalization** to detect genuine institutional activity while filtering out retail noise.
***
## 🔥 What Makes This Different?
### 1. **Lower Timeframe Delta Aggregation**
- Analyzes intrabar buy/sell volume distribution from lower timeframes
- Provides superior order flow granularity compared to single-timeframe analysis
- Accurately estimates institutional buying vs. selling pressure
### 2. **RVOL-Normalized Statistical Thresholds**
- Raw volume is normalized by Relative Volume (RVOL) to amplify signals during high institutional participation
- Uses sigma-based statistical thresholds (customizable sensitivity)
- Eliminates false signals during low-liquidity periods
### 3. **Triple-Confluence Grading System**
Signals are classified by confluence strength:
| Grade | Confluence | Win Rate Expectation | Use Case |
|-------|------------|---------------------|----------|
| **A+** | 🐋 + 🚦 + ⚡ (Triple) | 70-80% | Swing positions, Options directional bets |
| **A** | Any 2 of 3 (Double) | 60-70% | Intraday scalps with tight stops |
| **ABS** | Absorption Reversal | 65-75% | Counter-trend reversals at support/resistance |
***
## 📈 Signal Components
### 🐋 **Whale Detection (Order Flow)**
- **Method**: LTF delta aggregation with RVOL normalization
- **Logic**: Normalized buy/sell volume > (Average + Sigma × StdDev)
- **Filters**: Requires bullish/bearish candle + minimum RVOL threshold
- **Detects**: Large institutional orders entering the market
### 🚦 **Volume Exhaustion (Climax)**
- **Method**: Current volume vs. moving average comparison
- **Logic**: Volume > 3.5× Volume MA (default)
- **Identifies**: Exhaustion climaxes and capitulation events
- **Use Case**: Often precedes trend reversals or strong continuation
### ⚡ **Volatility Expansion (Breakout)**
- **Method**: Candle range vs. ATR comparison
- **Logic**: (High - Low) > 2.0× ATR (default)
- **Confirms**: Genuine breakouts vs. low-volatility fakeouts
- **Filter**: Ensures price is actually moving, not just volume spiking
### ⚠️ **Absorption Detection (Special Setup)**
- **Method**: High whale volume + Small candle body (<30% of range)
- **Logic**: Institutional players passively absorbing aggressive retail flow
- **Signal**: Price rejection despite massive volume = trapped traders
- **Trade Direction**: **Counter** to the failed move (reversal setup)
***
## 🎨 Visual Design - Professional Grade
### Clean Label System
- **A+ Signals**: Large labels (normal size) for triple confluence
- **A Signals**: Medium labels (small size) for double confluence
- **ABS Signals**: Tiny labels for absorption zones
- **ATR-Based Positioning**: Labels auto-adjust distance based on volatility (never overlap price)
### Rich Tooltip Information
Hover over any label to see:
- Confluence breakdown (which signals triggered)
- RVOL value
- Current price
- Body ratio (for absorption)
### Real-Time Dashboard
Top-right panel displays:
- Current RVOL (color-coded: green = valid, yellow = marginal, gray = low)
- Buy/Sell volume breakdown
- Active signal status (Long/Short)
- Confluence score (●●● = triple, ●●○ = double)
***
## ⚙️ Settings & Customization
### Whale Detection Settings
- **Lookback Period** (14): Statistical calculation window
- **Sensitivity (Sigma)** (2.5): Lower = more signals, Higher = only extreme whales
- **Lower Timeframe** (1m): Timeframe for delta aggregation
- **Absorption Threshold** (0.3): Body ratio for absorption detection
### Exhaustion & Volatility Settings
- **Exhaustion Threshold** (3.5×): Volume spike multiplier
- **ATR Length** (11): Volatility calculation period
- **Volatility Multiplier** (2.0×): Range expansion threshold
### Confluence Logic
- **A+ Grade** (Triple Confluence): Enable/disable
- **A Grade** (Double Confluence): Enable/disable
- **B Grade** (Single Signal): Enable/disable (off by default)
- **Min RVOL Threshold** (1.3×): Minimum RVOL for valid signals
### Visual Customization
- **Show Labels**: Toggle on/off
- **Label Distance (ATR)** (1.5×): Adjust label spacing from candles
- **Color Schemes**: Fully customizable for A+, A, and Absorption signals
***
## 📊 How to Use
### **Entry Strategy**
#### A+ Signals (Highest Conviction)
1. Wait for triple confluence (🐋 + 🚦 + ⚡)
2. Enter on signal bar close or next bar open
3. Risk: 1.5-2% per trade
4. Stop loss: Below/above signal bar wick + 1 ATR buffer
5. Targets: 2:1 or 3:1 R:R
#### A Signals (Strong Confirmation)
1. Double confluence provides solid confirmation
2. Better for intraday scalps (15m-1H charts)
3. Risk: 0.75-1% per trade
4. Tighter stops recommended
#### Absorption Signals (Reversal Setup)
1. High volume + small body = failed directional attempt
2. Trade **against** the absorbed pressure
3. Excellent at major support/resistance
4. Combine with other reversal indicators (RSI divergence, etc.)
### **Risk Management Rules**
- **RVOL Gate**: Only trade signals with RVOL ≥ 1.3× (default)
- **Trend Alignment**: A+ signals with trend = higher win rate
- **Avoid News**: Disable during major economic releases
- **Volume Confirmation**: Watch for follow-through volume in next 2-3 bars
***
## 🚀 Best Practices
### Timeframe Selection
- **5m-15m**: Scalping (focus on A signals)
- **1H-4H**: Swing trading (focus on A+ signals)
- **Daily**: Position trading (A+ only, ignore A signals)
### Symbol Types
- **Highly Liquid Assets**: Works best (BTC, ETH, ES, NQ, major forex pairs)
- **Stocks**: Use on high-volume stocks (>1M daily volume)
- **Low Liquidity**: Not recommended (RVOL normalization less effective)
### Combining With Other Tools
- **Trend Indicators**: EMA ribbons, Supertrend
- **Support/Resistance**: Key levels enhance signal quality
- **Market Structure**: Break of structure + A+ signal = powerful combo
***
## 📋 Key Features
✅ Lower Timeframe (LTF) delta aggregation for superior order flow insight
✅ RVOL-normalized statistical thresholds eliminate false positives
✅ Triple-confluence grading system (A+, A, ABS)
✅ Absorption detection for high-probability reversal setups
✅ Professional clean design with ATR-adaptive positioning
✅ Real-time dashboard with buy/sell volume breakdown
✅ Rich tooltip information (no chart clutter)
✅ Fully customizable sensitivity and visual settings
✅ Built-in alerts for A+, A, and Absorption signals
✅ No repainting (uses confirmed bar data only)
***
## 🔔 Alert Setup
The indicator includes 6 alert conditions:
1. **A+ BUY** - Triple confluence bullish
2. **A+ SELL** - Triple confluence bearish
3. **A BUY** - Double confluence bullish
4. **A SELL** - Double confluence bearish
5. **ABSORPTION BUY** - Reversal setup (buy)
6. **ABSORPTION SELL** - Reversal setup (sell)
**To set alerts:**
1. Click "Create Alert" on the indicator
2. Select desired alert condition
3. Alerts include {{ticker}}, price, and confluence type
***
## ⚠️ Important Notes
### Not a Holy Grail
- This indicator identifies **high-probability setups**, not guaranteed wins
- Always use proper risk management (1-2% risk per trade)
- Combine with price action, support/resistance, and trend analysis
### Performance Considerations
- LTF data requests may load slower on lower timeframes
- Recommended to use 1m or 5m LTF on charts 15m and above
- Dashboard updates in real-time (may affect performance on slow devices)
### Recommended Settings by Experience
- **Beginners**: A+ signals only, Sensitivity 3.0
- **Intermediate**: A+ and A signals, Sensitivity 2.5
- **Advanced**: All signals, Sensitivity 2.0, custom RVOL thresholds
***
## 📖 Educational Resources
### Understanding the Signals
**Initiative vs. Absorption:**
- **Initiative** = Whale volume + normal/large candle body → trade WITH the direction
- **Absorption** = Whale volume + tiny candle body → trade AGAINST the failed direction
**Why Triple Confluence Works:**
When all three signals align, it indicates:
1. Institutional money entering (whale volume)
2. Market participant exhaustion (climax volume)
3. Price expansion confirming momentum (volatility)
This combination creates optimal entry points with favorable risk/reward.
***
## 💡 Tips for Maximum Profitability
1. **Wait for Confluence**: Don't trade single signals (B grade) unless experienced
2. **RVOL is King**: Higher RVOL = stronger signal reliability
3. **Trend is Friend**: A+ signals aligned with trend = 75%+ win rate
4. **Absorption at Levels**: Absorption signals near support/resistance = highest probability
5. **Volume Follow-Through**: Confirm signal strength with continued volume in next 2-3 bars
6. **Time of Day**: Best signals occur during high-liquidity sessions (avoid pre-market/after-hours)
***
## 🔧 Version History
**v1.0 (Current)**
- Initial release
- LTF delta aggregation
- RVOL normalization
- Triple-confluence system
- Absorption detection
- Professional dashboard
***
## 👨💻 Developer Notes
This indicator is the result of extensive research into institutional order flow patterns and multi-factor confluence systems. The statistical approach ensures signals are mathematically significant, not arbitrary visual patterns.
**Philosophy**: Quality over quantity. This indicator generates fewer signals, but each one represents genuine institutional activity with quantifiable edge.
***
## 📞 Support & Feedback
If you find this indicator valuable, please leave a comment and boost! Your feedback helps improve future versions.
**Feature Requests Welcome:**
- Additional confluence factors
- Custom alert messages
- New visual styles
- Performance optimizations
***
## ⚖️ Risk Disclaimer
**Trading involves substantial risk of loss and is not suitable for all investors.** Past performance is not indicative of future results. This indicator is a tool for analysis and does not constitute financial advice. Always conduct your own research and consult with a licensed financial advisor before making trading decisions.
The developer assumes no responsibility for trading losses incurred through the use of this indicator.
***
## 🏷️ Tags
`orderflow` `institutional` `volume` `confluence` `whaledetection` `rvol` `ltf` `delta` `absorption` `volatility` `exhaustion` `professional` `scalping` `daytrading` `swingtrading`
***
**© 2025 HK - Ultimate Institutional Signal Detector**
*Built for world-class traders who demand institutional-grade analysis.*
***
MA Distance Percentile - HighQ ToolsHighQTools — MA Distance Percentile (MADP)
As always, if anyone has any tips or additional features they'd like to see, feel free to reach out!
MA Distance Percentile (MADP) measures how far price is from its moving average relative to its own recent history.
Instead of showing raw distance (which varies by symbol, volatility, and timeframe), MADP normalizes price-to-MA distance into a 0–100 percentile rank over a rolling lookback window. This allows traders to quickly identify when price is relatively extended or compressed compared to recent conditions.
🔍 How It Works
A moving average is calculated (EMA by default, configurable).
The ratio of price / MA is computed.
That ratio is percentile-ranked over a user-defined lookback window.
The result is optionally smoothed for clarity.
High values (e.g., 80–100): Price is more extended above its MA than it has been recently.
Low values (e.g., 0–20): Price is relatively compressed or discounted vs its MA.
🧭 How to Use It
MADP is best used as a context tool, not a standalone signal:
Identify mean-reversion potential at relative extremes
Distinguish trend continuation vs exhaustion
Filter entries taken near highs/lows vs those taken in compression
Combine with structure, volume, delta, or VWAP-based tools
Optional visual levels (20 / 50 / 80) are provided for quick reference. Simple signals are included but disabled by default to encourage discretionary use.
⚙️ Defaults & Notes
Default MA: 20-period EMA
Default lookback: 200 bars
Designed for intraday and swing analysis
Does not repaint
Percentile-based normalization makes it robust across symbols and timeframes
This indicator is part of the HighQTools framework: clean, transparent tools designed to provide context first, not overfitted signals.
3D Isometric MFI (Christmas Edition) [Kodexius]3D Isometric MFI (Christmas Edition) is a visual-first interpretation of the classic Money Flow Index, rendered as a projected 3D-style ribbon using an isometric mapping. Instead of plotting a standard oscillator line, the script reconstructs recent MFI history as a depth-aware ribbon that moves from back to front, producing a layered perspective effect that helps you read momentum shifts, regime transitions, and relative strength changes as a continuous structure.
This Christmas Edition was also built for fun and as a creative seasonal experiment. The goal is to keep the underlying indicator logic familiar, while presenting it in a playful, “3D showroom” style that looks great in a separate oscillator panel.
The indicator is designed for presentation quality and chart readability. It uses controlled object management (lines, polylines, labels) and renders only the most recent portion of the MFI history (user-defined depth). A decorative snow background effect adds atmosphere.
🔹 Features 🎄
🔸 Isometric 3D Projection Engine
The ribbon is produced by projecting 3D points (time offset, MFI value, depth) into 2D chart coordinates.
- X represents bar offset into history
- Y represents the MFI value
- Z introduces depth and perspective
Angle controls the projection direction, and Vertical Zoom scales the perceived amplitude.
🔸 Depth-Limited Ribbon Rendering (Back to Front)
Only the most recent History Depth values are drawn to keep performance and readability stable.
- Each segment connects two consecutive MFI values
- A top edge, bottom edge, and filled face are drawn to simulate thickness
- Older segments fade into the background
🔸 Dynamic Gradient Coloring + Depth Fade
Ribbon color follows a value-based gradient:
- Lower values lean red (risk-off pressure)
- Higher values lean green (risk-on pressure)
- Mid values blend naturally
Transparency increases with depth so older history is less dominant but still readable.
🔸 Tip Label (Value + Candy Marker) 🍭🍬
The most recent ribbon tip displays current MFI value.
A candy symbol that switches based on the 50 midpoint
The label is offset so it does not cover the ribbon tip.
🔸 Projected Reference Grid (80, 50, 20)
A projected grid is drawn at classic MFI reference levels to improve orientation:
- 80 Overbought reference
- 50 Midpoint reference
- 20 Oversold reference
These grid lines use the same projection math, so they stay aligned at any angle or zoom.
🔸 Seasonal Snow Background Effect ❄️
Randomized snow is rendered behind the ribbon using lightweight labels. This is purely decorative and does not alter MFI values or logic.
🔸 Object Lifecycle Management
Because 3D-style drawing uses many objects, the script manages them explicitly by storing references in arrays, deleting old objects, and redrawing on the last bar. This helps prevent visual stacking artifacts and keeps the panel clean.
🔹 Calculations
1) Money Flow Index Computation
The script separates “positive” and “negative” money flow based on the direction of change in the selected source, then converts their ratio into the standard 0 to 100 oscillator. Classic MFI Calculations.
calc_mfi(int length, float source) =>
float upper = math.sum(volume * (ta.change(source) <= 0 ? 0 : source), length)
float lower = math.sum(volume * (ta.change(source) >= 0 ? 0 : source), length)
float mfi = 100.0
if lower != 0
float r = upper / lower
mfi := 100 - (100 / (1 + r))
mfi
Interpretation:
upper accumulates volume-weighted source values on up moves
lower accumulates volume-weighted source values on down moves
if lower is zero, MFI defaults to 100 to avoid division errors
otherwise, MFI is computed from the ratio transform
2) History Buffer Management
The current MFI value is pushed into the front of an array every bar. The array is trimmed to History Depth so rendering stays bounded.
array.unshift(ctx.history_val, mfi_curr)
if ctx.history_val.size() > depth
ctx.history_val.pop()
3) 3D Point Model and Ribbon Thickness
Each segment is built from four projected points to form a filled face (a simple quad). A small thickness is applied to create the “ribbon” look, and depth is used to simulate perspective.
4) Isometric Projection to Chart Coordinates
3D points are mapped into chart coordinates with an angle rotation and scaling for zoom and depth.
method project(Point3 p, int anchor_bar, float angle_rad, float zoom, float z_scale) =>
float x_world = -float(p.x) * 2.0
float z_val = p.z * z_scale
float screen_x_offset = (x_world * math.cos(angle_rad)) - (z_val * 1.0)
float screen_y_offset = (p.y * zoom) + (x_world * math.sin(angle_rad)) * 0.5
int final_x = anchor_bar + int(math.round(screen_x_offset))
float final_y = screen_y_offset
chart.point.from_index(final_x, final_y)
5) Gradient and Depth Transparency
Color is derived from MFI value via a gradient, and transparency increases with segment depth so recent data remains dominant while older context stays visible.
6) Projected Reference Grid Construction
The 80, 50, 20 levels are drawn as dotted segments across the same historical span, using the same projection and depth fade logic for consistent alignment.
🎆 Wishing you a great year ahead 🎄✨
May your charts be clear, your risk be controlled, and your next year be filled with health, peace, and good trades. Happy Holidays and Happy New Year.
TradingView Alert Adapter for AlgoWayTRALADAL is a universal TradingView alert adapter designed for traders who work with indicators and want to test and automate indicator-based signals in a structured way.
It allows users to convert indicator outputs into a TradingView strategy and forward the same logic through alerts for multi-platform execution via AlgoWay.
This script can be used as TradingView indicator automation, enabling traders to build a TradingView strategy from indicators and route TradingView alerts through an AlgoWay connector TradingView workflow for multi-platform execution.
Why this adapter is needed
Most TradingView indicators are not available as strategies.
Traders often receive visual signals or alerts but have no access to objective statistics such as win rate, drawdown, or profit factor.
This adapter solves that problem by providing a generic framework that transforms indicator signals into a backtestable strategy — without modifying indicator code and without requiring Pine Script knowledge.
Input source–based design (including closed indicators)
All conditions in TRALADAL are built using input sources, which means you can connect:
Event-based signals (1 / non-zero values, arrows, shapes)
Indicator lines and values (EMA, VWAP, RSI, MACD, etc.)
Outputs from invite-only or closed-source indicators
If an indicator produces a visible signal or alert-compatible output, it can be evaluated and tested using this adapter, even when the source code is locked.
Three-level signal logic
The strategy uses a three-layer condition model commonly applied in discretionary and systematic trading:
Signal — primary entry trigger
Confirmation — directional validation
Filter — additional noise reduction
Each level can be enabled independently and combined using AND / OR logic, allowing traders to test multi-indicator systems without writing complex scripts.
Risk management and alert execution
The adapter supports practical risk parameters:
Stop Loss (pips)
Take Profit (pips)
Trailing Stop (pips)
Two execution modes are available:
Strategy Mode — risk rules are applied inside the TradingView Strategy Tester
Alert Mode — risk parameters are embedded into structured TradingView alerts and handled by AlgoWay during execution
Position sizing follows TradingView conventions (percent of equity, cash, or contracts) to keep strategy results and alerts aligned.
Typical use cases
This TradingView alert adapter is intended for:
Indicator-based trading systems
Backtesting signals from closed or invite-only scripts
Comparing multiple indicators within a single strategy
Sending TradingView alerts to external trading platforms via AlgoWay
The adapter does not generate signals or trading recommendations.
Its purpose is to provide a transparent and testable workflow from indicator signals to TradingView alerts and automated execution.
VIX Percentile OscillatorWhat is this script?
This is a trading tool that helps you decide when to buy or sell options based on market volatility. Think of it as a "fear meter" for the stock market.
What is VIX?
VIX = Volatility Index (also called the "fear index")
When VIX is HIGH → Market is scared/volatile → Options are EXPENSIVE
When VIX is LOW → Market is calm → Options are CHEAP
What does "Percentile" mean?
Instead of just showing VIX price, this script shows where VIX is compared to history.
Example: If VIX Percentile = 85%
This means VIX is higher than 85% of all past readings
Only 15% of the time was VIX higher than now
Translation: Volatility is unusually HIGH
The 5 Trading Zones
The script divides the market into 5 zones:
🔴 EXTREME SELLING ZONE (90-100%)
VIX is in the top 10% historically
Action: AGGRESSIVELY SELL OPTIONS (collect big premiums)
Market panic = expensive options = profit for sellers
🟠 SELLING ZONE (80-89%)
VIX is elevated but not extreme
Action: SELL OPTIONS (good premiums available)
⚪ NEUTRAL ZONE (20-79%)
VIX is normal
Action: WAIT or use other strategies
🟢 BUYING ZONE (10-19%)
VIX is low
Action: BUY OPTIONS (they're cheap)
🟢 EXTREME BUYING ZONE (0-9%)
VIX is in the bottom 10% historically
Action: AGGRESSIVELY BUY OPTIONS (bargain prices)
Market complacency = cheap options = opportunity
Understanding the Chart
Main Line (Blue/Red/Green):
Shows current VIX percentile
Color changes based on zone
Thick line = easy to see
Histogram (Background bars):
Red bars = above 50% (high volatility)
Green bars = below 50% (low volatility)
Purple Momentum Line:
Shows if VIX is rising or falling
Helps you catch trends early
Background Colors:
Light red/orange = Selling zones
Light green = Buying zones
Triangle Markers:
Appear when entering new zones
"EXTREME" label = strongest signals
The Statistics Table (Top Right)
VIX Price: Current VIX value (e.g., 16.50)
Percentile: Where VIX ranks (0-100%)
Z-Score: Statistical measure
Above +2 or below -2 = extreme
Red text = unusually high/low
Momentum: Rate of change
Red = rising (volatility increasing)
Green = falling (volatility decreasing)
Avg VIX: Average VIX over lookback period
Current Zone: Which zone you're in right now
Bars in Zone: How long you've been in this zone
Simple Trading Rules
FOR OPTION SELLERS (Premium Collectors):
✅ SELL when: Percentile > 80% (especially > 90%)
High premiums available
Examples: Sell covered calls, cash-secured puts, credit spreads
FOR OPTION BUYERS (Hedgers/Speculators):
✅ BUY when: Percentile < 20% (especially < 10%)
Cheap options available
Examples: Buy protective puts, long calls, debit spreads
Key Settings You Can Adjust
Lookback Period (default: 252)
How far back to compare (252 = 1 year of trading days)
Longer = smoother, more stable
Shorter = more sensitive to recent changes
Smoothing Period (default: 3)
Reduces noise/wiggling
Higher = smoother line
Lower = more responsive
Zone Thresholds:
Extreme Sell: 90%
Sell: 80%
Buy: 20%
Extreme Buy: 10%
You can customize these!
Real-World Example
Scenario: VIX Percentile jumps to 92%
What this means:
VIX is higher than 92% of all past readings
Market is in panic mode
Option premiums are INFLATED
Trading Action:
✅ Sell covered calls on stocks you own
✅ Sell cash-secured puts on stocks you want to buy
✅ Sell credit spreads
❌ DON'T buy expensive options right now
Why it works: When fear is extreme, it usually calms down eventually. You profit as premiums deflate.
Important Reminders
⚠️ This is a TIMING tool, not a crystal ball
It tells you WHEN premiums are expensive/cheap
It doesn't tell you WHICH options to trade
You still need proper risk management
⚠️ Works on ALL timeframes
Daily charts = swing trading
Weekly charts = position trading
Intraday charts = day trading volatility
⚠️ Best for:
Option sellers during high VIX (>80%)
Option buyers during low VIX (<20%)
Portfolio hedging decisions
Volatility trading strategies
Bottom Line: This script helps you buy options when they're cheap and sell options when they're expensive. It's like shopping for sales, but for volatility!
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
RSI Forecast [QuantAlgo]🟢 Overview
While standard RSI excels at measuring current momentum and identifying overbought or oversold conditions, it only reflects what has already happened in the market. The RSI Forecast indicator builds upon this foundation by projecting potential RSI trajectories into future bars, giving traders a framework to consider where momentum might head next. Three analytical models power these projections: a market structure approach that reads swing highs and lows, a volume analysis method that weighs accumulation and distribution patterns, and a linear regression model that extrapolates recent trend behavior. Each model processes market data differently, allowing traders to choose the approach that best fits their analytical style and the asset they're trading.
🟢 How It Works
At its foundation, the indicator calculates RSI using the standard methodology: comparing average upward price movements against average downward movements over a specified period, producing an oscillator that ranges from 0 to 100. Traders can apply an optional signal line using various moving average types (e.g., SMA, EMA, SMMA/RMA, WMA, or VWMA), and when SMA smoothing is selected, Bollinger Bands can be added to visualize RSI volatility ranges.
The forecasting mechanism operates by first estimating future price levels using the chosen projection method. These estimated prices then pass through a simulated RSI engine that mirrors the actual indicator's mathematics. The simulation updates the internal gain and loss averages bar by bar, applying the same RMA smoothing that powers real RSI calculations, to produce authentic projected values.
Since RSI characteristically moves in waves rather than straight lines, the projection system incorporates dynamic oscillation. This draws from stored patterns of recent RSI movements, factors in the tendency for RSI to pull back from extreme readings, and applies mathematical wave functions tied to current momentum conditions. The Oscillation Intensity control lets traders adjust how much waviness appears in projections. Signal line (RSI-based MA) projections follow the same logic, advancing the chosen moving average type forward using its proper mathematical formula. The complete system generates 15 bars of projected RSI and signal line values, displayed as dashed lines extending beyond current price action.
🟢 Key Features
1. Market Structure Model
This projection method reads price action through swing point analysis. It scans for pivot highs and pivot lows within a defined lookback range, then evaluates whether the market is building bullish patterns (successive higher highs and higher lows) or bearish patterns (successive lower highs and lower lows). The algorithm recognizes structural shifts when price violates previous swing levels in either direction.
Price projections under this model factor in proximity to key swing levels and overall trend strength, measured by tallying trend-confirming swings over recent history. When bullish structure prevails and price hovers near support, upward price bias enters the projection, pushing forecasted RSI higher. Bearish structure near resistance creates the opposite effect. The model scales its projections using ATR to keep them proportional to current volatility conditions.
▶ Practical Implications for Traders:
Aligns well with traders who focus on support, resistance, and swing-based entries
Provides context for where RSI might travel as price interacts with structural levels
Tends to perform better when markets display clear directional swings
May produce less useful output during consolidation phases with overlapping swings
Offers early visualization of potential divergence setups
Swing traders can use structure-based projections to time entries around key pivot zones
Position traders could benefit from the trend strength component when holding through larger moves
On lower timeframes, it helps scalpers identify micro-structure shifts for quick momentum plays
Useful for mapping out potential RSI behavior around breakout and breakdown levels
Day traders can combine structural projections with session highs and lows for intraday context
2. Volume-Weighted Model
This method blends multiple volume indicators to inform its price projections. It tracks On-Balance Volume to gauge cumulative buying and selling pressure, monitors the Accumulation/Distribution Line to assess where price closes relative to its range on each bar, and calculates volume-weighted returns to give heavier influence to high-volume price movements. The model examines the directional slope of these metrics to assess whether volume confirms or contradicts price direction.
Unusually high volume bars receive special attention, with their directional bias factored into projections. When all volume metrics point the same direction, the model produces more aggressive price forecasts and consequently stronger RSI movements. Conflicting volume signals lead to more muted projections, suggesting RSI may move sideways rather than trending.
▶ Practical Implications for Traders:
Suited for traders who incorporate volume confirmation into their analysis
Works best with instruments that report accurate, meaningful volume data
Useful for identifying situations where momentum lacks volume support
Less applicable to instruments with sparse or unreliable volume information
Scalpers on liquid markets can spot volume-backed momentum for quick entries and exits
Helps intraday traders distinguish between genuine moves and low-volume fakeouts
Position traders can assess whether institutional participation supports longer-term trends
Effective during news events or market opens when volume spikes often drive directional moves
Swing traders can use volume divergence in projections to anticipate potential reversals
3. Linear Regression Model
The simplest of the three methods, linear regression fits a straight line through recent price data using least-squares mathematics and extends that line forward. These projected prices then generate corresponding RSI forecasts. This creates a clean momentum projection without conditional logic or interpretation of market characteristics. The forecast simply asks: if the recent price trend continues at its current rate of change, where would RSI be in the coming bars?
▶ Practical Implications for Traders:
Delivers a clean, mathematically neutral projection baseline
Functions well during sustained, orderly trends
Involves fewer parameters and produces consistent, reproducible output
Responds more slowly when trend direction shifts
Works best in trending environments rather than ranging markets
Ideal for position traders who want to ride established trends
Useful for swing traders to gauge trend exhaustion when actual RSI deviates from linear projections
Scalpers can use the smooth output as a reference point to measure short-term momentum deviations
Effective baseline for comparing against structure or volume models to measure market complexity
Works particularly well on higher timeframes where trends develop more gradually
🟢 Universal Applications Across All Models
Regardless of which forecasting method you select, the indicator projects future RSI positions that may help with:
▶ Overbought/Oversold Planning: See whether RSI trajectories point toward extreme zones, giving you time to prepare responses before conditions develop
▶ Entry and Exit Timing: Factor projected RSI levels into your timing decisions for opening or closing positions
▶ Crossover Anticipation: Watch for projected crossings between RSI and its signal line (RSI-based MA) that might indicate upcoming momentum shifts
▶ Mean Reversion Context: When RSI sits at extremes, projections can illustrate potential paths back toward the midline
▶ Momentum Evaluation: Assess whether current directional strength appears likely to continue or fade based on projection direction
▶ Divergence Awareness: Use forecast trajectories alongside price action to spot potential divergence formations earlier
▶ Comparative Analysis: Run different projection methods and note where they agree or disagree, using alignment as an additional filter, for instance
▶ Multi-Timeframe Context: Compare RSI projections across different timeframes to identify alignment or conflict in momentum outlook
▶ Trade Management: Reference projected RSI levels when adjusting stops, scaling positions, or setting profit targets
▶ Rule-Based Systems: Incorporate projected RSI conditions into systematic trading approaches for more forward-looking signal generation
Note: It is essential to recognize that these forecasts derive from mathematical analysis of recent price behavior. Markets are dynamic environments shaped by innumerable factors that no technical tool can fully capture or foresee. The projected RSI values represent potential scenarios for how momentum might develop, and actual readings can take different paths than those visualized. Historical tendencies and past patterns offer no guarantee of future behavior. Consider these projections as one element within a comprehensive trading approach that encompasses disciplined risk management, appropriate position sizing, and diverse analytical methods. The true benefit lies not in expecting precise forecasts but in developing a forward-thinking perspective on possible market conditions and planning your responses accordingly.
Buying Opportunity Score V2.2Buying Opportunity Indicator V2.2
What This Indicator Does
This indicator identifies potential buying opportunities during market fear and pullbacks by combining multiple technical signals into a single composite score (0-100). Higher scores indicate more fear/oversold conditions are present simultaneously.
Why These Components?
Market bottoms typically occur when multiple fear signals align. This indicator combines five complementary measurements that each capture different aspects of market stress:
1. VIX Level (30 points) - Measures implied volatility/fear. VIX spikes during selloffs as traders buy protection. Thresholds based on historical percentiles (VIX 25+ is ~85th percentile historically).
2. Price Drawdown (30 points) - Distance from 52-week high. Larger drawdowns create better risk/reward for mean reversion entries. A 10%+ drawdown from highs historically presents better entry points than buying at all-time highs.
3. RSI 14 (12 points) - Classic momentum oscillator measuring oversold conditions. RSI below 30 indicates short-term selling exhaustion.
4. Bollinger Band Position (13 points) - Statistical measure of price extension. Price below the lower band (2 standard deviations) indicates statistically unusual weakness.
5. VIX Timing (15 points) - Bonus points when VIX is declining from a recent peak. This helps avoid catching falling knives by waiting for fear to subside.
How The Score Works
- Each component contributes points based on severity
- Components are weighted by predictive value from historical analysis
- Score of 70+ means multiple fear signals are present
- Score of 80+ means extreme fear across most components
How To Use
1. Apply to SPY, QQQ, or IWM on daily timeframe
2. Monitor the Current Score in the statistics table
3. Scores below 50 = normal conditions, no action needed
4. Scores 60-69 = elevated fear, monitor closely
5. Scores 70+ = consider entering long positions
6. Scores 80+ = strongest historical entry points
Important Limitations
- This is a research tool, not financial advice
- Past patterns may not repeat in the future
- Signals are infrequent (typically 2-4 per year reaching 70+)
- Works best on broad market ETFs; not validated for individual stocks
- Always use proper position sizing and risk management
- The indicator identifies conditions that have historically been favorable, but cannot predict future returns
Statistics Table
The table shows:
- Current Score with context message
- Chart Results: Rolling 1Y/3Y/5Y statistics from your loaded chart data
Alerts
Multiple alert options available for different score thresholds.
Open Source
Code is fully visible for review and educational purposes.
TriPulse Volume Bounds | QuantEdgeBTriPulse Volume Bounds | QuantEdgeB
🔍 Overview
TriPulse Volume Bounds | QuantEdgeB (𝓣𝓟𝓥𝓞) is a volume-weighted, volatility-adaptive oscillator built to spot high-conviction expansion moves. It first applies a triple-smooth price engine as a refined input, then computes a VWMA anchored to volume participation and measures how far price deviates from it (in %). Dynamic upper/lower bounds are then generated from the oscillator’s own volatility (standard deviation), creating a self-adjusting channel. When the oscillator breaks above/below these bounds, 𝓣𝓟𝓥𝓞 flips into clear Long / Short regimes—supported by rich visuals, alerts, optional backtest tables, and a dedicated TPVO Sensor table that grades momentum/impulse/drive and conviction strength.
✨ Key Features
1. 🧠 TriPulse Source Engine (Triple-Smooth Input)
- Uses a triple-smoothed price series as the oscillator’s “signal-grade” input to reduce noise while staying responsive.
2. 📊 Volume-Weighted Anchor (VWMA)
- Builds a VWMA baseline using volume as weight, so moves backed by participation matter more than thin-market drift.
3. 📏 Percent Deviation Oscillator
- Computes oscillator value as: 100 × (close − VWMA) / VWMA, producing a clean “distance-from-value” readout.
4. ⚡ Dynamic Volatility Bounds
- Upper/lower thresholds are derived from stdev(avwo) over a lookback length and scaled by:
– Adaptive Multiplier (volatility scaling)
– Upper/Lower multipliers (asymmetric sensitivity)
5. 🎯 Regime Signals
- Long when AVWO > Upper Bound
- Short when AVWO < Lower Bound
- Neutral otherwise (inside bounds)
6. 🎨 Visual & Alerts
- Plots the oscillator with regime-sensitive coloring and fill behavior.
- Highlights the active bound when a long/short is triggered.
- Colors candles to match the current regime.
- Optional Long/Short labels on confirmed flips.
- Alert conditions on regime crossovers.
7- 📊 Backtest Table (Optional)
- Built-in backtest table from a chosen start date.
- Two display modes: standard table or overlaid table.
8. ♞ TPVO Sensor Table (Built-In Intelligence Layer)
- A dedicated on-chart dashboard that summarizes direction + quality of the current move using strength bars and momentum staging.
💼 Use Cases
• Breakout Confirmation: Catch expansion moves only when deviation exceeds adaptive bounds.
• Volume-Validated Momentum: Filter out weak pushes that aren’t supported by volume-weighted structure.
• Trend Regime Filter: Use TPVO state (Long/Short/Neutral) to gate entries from other strategies.
• Market Condition Read: Quickly determine whether price is drifting (neutral) or expanding (signal).
🎯 For Who
• Momentum & breakout traders who want confirmation beyond simple crosses.
• Volatility-aware traders who prefer thresholds that expand/contract automatically.
• System builders who need a robust regime variable plus strength grading.
• Discretionary traders who want fast visual clarity (fills, candle colors, sensor table).
⚙️ Default Settings
• Tripple Smooth Length (VWMA base input): 30
• Volume Weighted Length: 30
• Threshold Volatility Length: 27
• Upper Threshold Multiplier: 1.8
• Lower Threshold Multiplier: 0.8
• Adaptive Multiplier: 0.85
• Color Mode: Alpha
• Color Transparency: 60
• Labels: Off by default
• Backtest Table: On (toggleable)
• Backtest Table Overlaid: On (toggleable)
• Backtest Start Date: 09 Oct 2017
• TPVO Sensor Table Position: Top Right (default input)
♞ TPVO Sensor Table (What It Shows)
The TPVO Sensor is an on-chart dashboard designed to summarize both direction and signal quality:
• Direction:
o “Up / Down / Flat” determined by the oscillator’s short-term slope.
• Momentum:
o A normalized rate-of-change read, labeled as Positive / Negative / Neutral.
• Impulse:
o A velocity label derived from smoothed momentum (Strong / Weak / Stalling).
• Drive:
o A staged classification combining momentum + velocity:
o Strong Upside / Fading Upside / Strong Downside / Fading Downside / Neutral
• Bull / Bear Strength Bars:
o Two progress bars that visualize current strength as a percentage.
o In neutral regimes, it shows potential; in active long/short regimes, it shows conviction.
• Signal Line:
o Displays: Signal ⟹ Long / Short / Cash, matching the active TPVO regime.
📌 Conclusion
TriPulse Volume Bounds | QuantEdgeB (𝓣𝓟𝓥𝓞) combines a triple-smooth input, a volume-weighted anchor, and adaptive volatility bounds to produce a clean oscillator that highlights true expansion moves. With regime states, rich fills, alerts, backtest options, and the TPVO Sensor table for momentum/impulse/drive + strength grading, it’s a compact all-in-one tool for spotting and validating regime shifts.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
SD-Range Oscillator | QuantEdgeBSD-Range Oscillator | QuantEdgeB
🔍 Overview
SD-Range Oscillator | QuantEdgeB (SDRO) is a normalized momentum oscillator that compresses a low-lag trend core into a 0–100 style range using standard-deviation (SD) bands. It builds a smooth baseline from a fast triple-smoothed average, wraps it with ±2×SD volatility bounds, then normalizes the core value inside that envelope. Clear Long/Short regimes trigger when the normalized value crosses user-defined thresholds, with optional labels, regime-colored candles, and intuitive filled zones.
✨ Key Features
1.⚡ Low-Lag Core (Triple-Smooth Engine)
- Uses a fast, low-lag triple-smoothed average as the oscillator’s primary signal input.
- Helps keep momentum readings responsive while filtering noise.
2. 📏 SD Volatility Envelope (±2×SD)
- Builds a volatility channel around a smoothed baseline using standard deviation.
- Automatically adapts to changing market turbulence.
3. 🧮 Normalized Range Output
- Converts the core signal into a normalized value by mapping it between the upper/lower SD bounds.
- Makes readings consistent across assets and timeframes.
4. 🎯 Threshold-Based Regimes
- Long when the normalized value exceeds the Long threshold.
- Short when it falls below the Short threshold.
- Includes an additional safety filter to reduce “forced” longs when price is already extended near the upper envelope.
5. 🎨 Visual Clarity & Zones
- Regime-colored oscillator line and candles.
- Filled SD bands around the baseline for quick volatility context.
- Optional highlight fills between the oscillator and thresholds to show active long/short phases.
- Extra OB/OS background zones for quick overextension awareness.
6. 🔔 Signals & Alerts
- Optional “Long/Short” labels on confirmed regime flips.
- Alert conditions fire on long/short regime crossovers.
💼 Use Cases
• Momentum Confirmation: Validate breakouts by requiring SDRO to hold above the Long threshold.
• Mean-Reversion Awareness: Watch for extreme normalized readings near upper/lower bounds.
• Regime Filtering: Use SDRO state (Long/Short/Neutral) to filter trades from other systems.
• Cross-Market Comparison: Normalization makes it easier to compare momentum across different tickers.
🎯 For Who
• Trend traders who want a clean momentum filter with adaptive volatility context.
• System builders needing a simple regime variable (1 / -1 / neutral) to gate entries.
• Discretionary traders who like visual confirmation (fills, candle coloring, threshold zones).
• Multi-asset traders who benefit from normalized, comparable oscillator readings.
⚙️ Default Settings
• TEMA Period: 7
• Base Length (SMMA): 25
• Long Threshold: 55
• Short Threshold: 45
• SD Multiplier: 2× (fixed in code)
• Color Mode: Alpha
• Color Transparency: 60
• Labels: Off by default
📌 Conclusion
SD-Range Oscillator | QuantEdgeB blends a low-lag triple-smoothed core with an adaptive SD envelope to produce a normalized, easy-to-read momentum signal. With clear threshold regimes, volatility-aware context, and strong visuals (fills + candle coloring), SDRO helps separate meaningful momentum shifts from noise across any asset or timeframe.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Momentum Echo Oscillator [Community Edition]Concept: The Momentum Echo Oscillator (MEO) is a modern take on classical momentum oscillators. Most indicators only look at the "now". MEO introduces the concept of Momentum Echoes—historical momentum harmonics that are weighted and blended back into the current price velocity.
Why use MEO? Standard momentum tools (like ROC or RSI) can be very "jittery" or noisy. By integrating historical echoes, MEO provides a smoother, more rhythmic representation of price flow, making it easier to spot genuine trend reversals.
Key Elements:
Primary Momentum: The immediate speed of price.
Echo Harmonics: Two adjustable lookback points that act as a "memory" for the indicator, filtering out false breakouts.
Dynamic Histogram: Visualizes the gap between the Echo Engine and the Trigger Line, highlighting acceleration and deceleration.
Settings:
Echo Weight: Adjust how much "memory" you want the indicator to have.
Smoothing: Clean up the signals for higher timeframes.
This is an open-source tool for the TradingView community. Enjoy!
MACD-v Bullish/Bearish DivergenceMACD-v Bullish/Bearish Divergence
Overview This indicator is a specialized divergence detector based on the MACD-v (Volatility Normalized Momentum) concept. Unlike standard MACD which uses absolute price differences, MACD-v normalizes values against volatility (ATR), allowing for fixed, universal Overbought/Oversold thresholds across all assets and timeframes.
Recommendation: This script is highly effective when paired with the original MACD-v by Alex Spiroglou. While this indicator focuses on identifying and visualizing divergence entries, using the original oscillator alongside it provides the best visual context for the overall momentum structure.
How It Works
This tool uses a dual-signal mechanism (Raw Line + Signal Smooth) to identify specific divergence setups:
Setup (Yellow/Blue Dots): Identifies when price momentum has extended significantly into extreme zones (Overbought/Oversold).
Trigger (Red/Green Dots): Fires when price fails to make a new momentum extreme despite price action (classic divergence/failure swing).
Active State (Background Color): Once a trigger fires, the background highlights (Red for Bearish, Green for Bullish) to indicate an active divergence play.
Reset (Exit): The signal state clears when momentum returns to the neutral "safe zone."
Important Note: Momentum Washout
The colored background persists as long as the divergence trade remains valid. Traders should note the concept of "Momentum Washout":
Signal End: The background color turns off when the MACD returns to the neutral range, indicating the primary high-velocity impulse is over.
Performance Continuation: Significant positive or negative price performance can often continue even after the background signal ends. This period allows the remaining momentum to "wash out" or drift before the next major impulse.
Strategy Tip: The indicator is designed to capture the high-volatility portion of the reversal. Do not assume the end of the signal is the absolute top or bottom of the trend; it simply marks the normalization of momentum.
Strategy Recommendation: Multi-Timeframe Analysis
Divergence signals are most powerful when confirmed across timeframes. It is highly recommended to look for alignment before taking a trade:
Trend Confirmation: If you see a signal on a lower timeframe (e.g., 5m or 15m), check a higher timeframe (e.g., 1H or 4H). A bullish divergence on the 5m is significantly more reliable if the 1H momentum is already bullish or oversold.
Signal Stacking: Valid signals often appear sequentially—first on the 1m, then the 5m, and finally the 15m. Waiting for this "cascade" can filter out false reversals.
Visual Guide
🔵 Blue Dot: Bullish Divergence Setup (Watch for entry).
🟢 Green Dot: Bullish Divergence Trigger (Long Entry).
🟡 Yellow Dot: Bearish Divergence Setup (Watch for entry).
🔴 Red Dot: Bearish Divergence Trigger (Short Entry).
Background Color: Indicates an active trade (Red = Bearish / Green = Bullish).
Settings
Auto-Detect: Automatically switches between Scalping settings (tighter thresholds) for low timeframes and Swing settings for high timeframes.
Strict Invalidation: If enabled, cancels a setup if momentum pushes too far in the opposite direction before triggering.
Active Signal Multiplier: Dynamically smooths the signal line only when a trade is active to prevent premature exits during choppy corrections.
Disclaimer: This tool is for educational purposes and trend analysis only. Always manage your risk appropriately.
