Smart Money Concepts with Multi-Timeframe AnalysisSCRIPT PURPOSE:
This indicator combines multiple analytical approaches to identify smart money activity
and market structure changes across different timeframes.
KEY COMPONENTS AND THEIR SYNERGY:
1. SMART MONEY CONCEPTS:
- Identifies market structure breaks (BOS) and change of character (CHoCH)
- Detects order blocks where institutional traders likely entered positions
- Maps fair value gaps (FVG) for potential price inefficiencies
2. FIBONACCI STRUCTURE ANALYSIS:
- Applies custom Fibonacci levels to current market structure
- Provides specific trading levels (SL, TP1-5, Entry zones)
- Helps identify potential reversal and continuation zones
3. HALFTREND MOMENTUM:
- Uses ATR-based trend detection with channel visualization
- Provides clear buy/sell signals with trend confirmation
- Works as a filter for smart money signals
4. MULTI-TIMEFRAME DASHBOARD:
- Shows trend alignment across 10 different timeframes
- Helps identify confluence for higher probability setups
HOW COMPONENTS WORK TOGETHER:
- Smart Money concepts identify WHERE institutions are active
- Fibonacci levels determine KEY PRICE ZONES for entries/exits
- HalfTrend confirms the CURRENT TREND DIRECTION
- Multi-timeframe analysis ensures ALIGNMENT across time horizons
CREDITS:
- Drawing utilities: LudoGH68/Drawings_public/1
- Smart Money Concepts methodology
- Fibonacci price analysis techniques
- HalfTrend algorithm for trend detection
Multitimeframe
Grandoc's MTF SeparatorsOverviewThis indicator, known as Grandoc's MTF Separators, draws vertical lines to mark key period boundaries across multiple timeframes (MTF—standing for "Multi-Timeframe," which allows visualization of higher-timeframe structures like daily or weekly pivots directly on lower-timeframe charts, such as 15-minute views). It helps traders align intraday decisions with broader market cycles. Additionally, it includes optional session open/close lines and closing price ranges for major forex sessions (Sydney, Tokyo, Frankfurt, London, New York). By combining customizable timeframe separators with session-specific visuals, it provides a comprehensive tool for multi-timeframe analysis without cluttering the chart. The script is optimized for efficiency, using arrays to manage drawings and respect TradingView's limits.© grandoc
Created: October 12, 2025
Last Modified: October 12, 2025
Version: 1.4 (Improved: Added Frankfurt session with independent toggles for open/close lines and closing range)Key FeaturesMulti-Timeframe (MTF) Separators: Configurable lines for up to four timeframes (e.g., daily, weekly, monthly), plotted as vertical lines extending across the chart. Supports periods from seconds to years—ideal for spotting MTF confluences, like a weekly open aligning with a London session start.
Session Management: Independent toggles for open/close lines and 30-minute closing ranges for five major sessions. Opens use dotted lines by default; closes use solid lines. Frankfurt session added for European traders.
Customization: Select reference points (session start or midnight day start), timezones, colors, line styles, and lookback limits to control visibility and performance.
Efficiency: Arrays limit drawings to user-defined lookback periods, preventing overload on historical data.
Originality and UsefulnessThis script extends standard timeframe detection by integrating session visuals with granular controls, including the new Frankfurt session for better European market coverage. Unlike generic separators, it uses a modular drawSeparator() function for consistent rendering across MTF and sessions, reducing code redundancy. Closing ranges highlight volatility in the final 30 minutes of each session, serving as dynamic support/resistance—unique for session-based strategies.Ideal for forex traders on instruments like EURUSD futures, where aligning intraday trades with higher-timeframe pivots and session transitions reduces noise. For instance, on a 15-minute EURUSD futures chart, daily separators mark session-aligned opens, while London closing ranges flag potential reversal zones before New York handover. The MTF aspect shines here: A weekly separator (orange solid line) crossing a NY open (blue dotted) signals a high-probability setup.How It WorksMulti-Timeframe SeparatorsDetection: Uses ta.change(time(tf, sess, tzz)) to identify period starts, where tf is the timeframe string (e.g., "1D"), sess is "0000-0000" for day-midnight or empty for session-start, and tzz is the timezone.
Drawing: On change, drawSeparator() creates a vertical line via line.new(x1=x_time, x2=x_time, y1=open, y2=open + syminfo.mintick, extend=extend.both). The mintick offset ensures it's a line, not a point. Lines extend both ways for full visibility.
Management: Pushed to dedicated arrays (e.g., sepArray1); excess trimmed with array.shift() and line.delete() based on lookback.
Visibility: Only plots if higher timeframe (timeframe.in_seconds(tf) > timeframe.in_seconds()).
Session Open and Close LinesDetection: For each session (e.g., Sydney: "2200-0700:1234567"), inSession = not na(time(timeframe.period, sessionStr, sessionTz)). Opens trigger on inSession and not inSession ; closes on not inSession and inSession .
Drawing Opens: Calls drawSeparator(true, sessionColor, sessionOpenWidth, sessionOpenStyle, sessionLookback, sessLinesArray) at time (bar open time). Uses global dotted style/width by default for easy identification of new sessions.
Drawing Closes: Similar call, but at time_close (previous bar close) for precise end-time alignment. Uses global solid style/width. All shared in one sessLinesArray for unified trimming.
Navigation Benefit: Dotted opens act as "entry gates" for session momentum; solid closes as "exit signals." Colors differentiate sessions (e.g., green for Sydney), enabling quick scans—e.g., spot Tokyo open overlaps on EURUSD futures for Asian bias.
Closing RangesDetection: For each closing window (e.g., London: "1630-1700:1234567"), inClose = not na(time(timeframe.period, closeStr, sessionTz)).
Tracking: On entry (inClose and not inClose ), initializes high/low at current bar's values and stores bar_index. During session, updates with math.max/min(nz(var, high/low), high/low).
Drawing: On exit (not inClose and inClose ), creates box.new(left=startBar, right=bar_index-1, top=high, bottom=low, border_color=sessionColor, bgcolor=color.new(sessionColor, 80)). 80% transparency for subtle shading; border matches session color.
Management: Pushed to rangeBoxesArray; trimmed like lines. Only draws if toggle enabled (defaults off to avoid clutter).
Navigation Benefit: Ranges visually encapsulate end-of-session volatility—e.g., on EURUSD futures, a tight NY range signals low-risk continuation, while wide ones warn of gaps. Ideal for range-break trades or as next-session S/R.
All session elements use the dedicated sessionTz for consistency, independent of separator timezone.Installation and UsageAdd via TradingView's Public Library (search "Grandoc's MTF Separators").
Settings Navigation: Separators (#1-4): Toggle/enable timeframes (e.g., D1 default); lookback hidden for simplicity.
Style: Per-separator colors/widths/styles (hidden widths); global open/close styles for sessions.
Preferences: "Session" vs. "Day" reference (tooltips explain EURUSD example); timezone (hidden, Day-only).
Session Settings: Unified timezone for all sessions.
Open Lines (g4): Per-session toggles (all on default).
Close Lines (g7): Per-session toggles (all on default).
Closing Ranges (g5): Per-session toggles (all off default—enable for S/R focus).
Session Times (g8): Edit strings (e.g., adjust for DST on EURUSD futures).
Colors & Lookback (g6): Session colors; shared lookback limits.
Apply to EURUSD futures (e.g., 15-min chart) with defaults: See green daily dots, orange weekly solids, session opens/closes in theme colors.
Pro Tip: On futures, set "Session" reference and exchange TZ for accurate rollover alignment; enable ranges for close-of-day liquidity plays. For MTF depth, layer #3 (monthly) over intraday for long-term bias.
LimitationsLines/ranges may cluster on low-timeframe charts; increase lookback or disable lower separators.
Session times are UTC defaults; manual DST tweaks needed for futures like EURUSD.
Time-based; avoid non-standard charts (e.g., Renko).
No built-in alerts—use TradingView's on line/box conditions.
Example Chart Open-source for community reuse (credit © grandoc). Published October 12, 2025. Questions? Comment below!
LinReg Candles + UT Bot - Advanced Trading System (Alrussi)Overview
LinReg Candles + UT Bot Alerts** combines two powerful trading concepts — *Linear Regression-based candles* and the renowned *UT Bot trailing stop strategy* — into one clean, visual, and alert-ready system.
It’s designed to help traders identify early trend shifts, confirm entries with dual logic, and maintain clear visual context on price strength and reversals.
---
🧠 How It Works
1. Linear Regression Candles
Instead of using raw price data, the indicator smooths candle values (Open, High, Low, Close) using **Linear Regression** over a user-defined period.
This filters out noise and highlights the *underlying directional bias* of price movements.
Green Candles** → Bullish momentum (regression close > regression open)
Red Candles** → Bearish momentum
The optional Signal Line (SMA or EMA) tracks smoothed regression close values for additional confirmation.
2. UT Bot Logic
The UT Bot portion uses an ATR-based dynamic trailing stop and sensitivity control.
It adapts automatically to market volatility and signals:
Buy Signal when price crosses above the trailing stop.
Sell Signal when price crosses below it.
You can optionally switch to Heikin Ashi candles for smoother trend signals.
3. Combined Confirmation
For higher precision, the indicator also issues **“Combined” alerts** only when both systems agree:
* ✅ Strong Buy: LinReg = Bullish **and** UT Bot = Bullish
* ❌ Strong Sell: LinReg = Bearish **and** UT Bot = Bearish
* ⚪ Wait: Mixed signals (no clear confirmation)
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🎨 Visual & Display Options
You can fully customize the chart display:
* Enable/disable LinReg candles
* Show or hide UT Bot trailing line
* Toggle Buy/Sell labels
* Color bars according to UT Bot direction
* On-screen **status table** (top-right) shows live:
* LinReg trend
* UT Bot status
* Combined confirmation
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⚙️ Key Inputs
| Group | Setting | Description |
| ------------------- | --------------------------------------- | ------------------------------------- |
| **LinReg Settings** | *Length, Smoothing Type* | Controls regression depth & smoothing |
| **UT Bot Settings** | *Key Value (Sensitivity)*, *ATR Period* | Adjusts signal reactivity |
| **Display** | *Candles, Line, Signals, Colors* | Complete visual customization |
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### 📢 Alerts
Three alert types are built-in and ready for automation:
* UT Long Signal → Buy (UT Bot)
* UT Short Signal → Sell (UT Bot)
* Combined Long/Short → Confirmed dual-signal alerts (LinReg + UT Bot)
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### 💡 Usage Tips
* Use on H1–H4 timeframes for trend confirmation; M15–M30 for scalping setups.
* Combine with volume or momentum indicators for added confluence.
* Adjust *Key Value (Sensitivity)* — lower = more responsive, higher = smoother.
* For swing trading, use higher **Linear Regression Lengths (30–50)** to capture long-term bias.
---
### ⚠️ Disclaimer
This indicator is a **technical analysis tool**, not financial advice.
Always test on demo accounts before applying to live trades.
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Daily Vertical LineThis indicator draws vertical lines at a specific time each day, helping you visualize important intraday levels or session opens/closes.
Features:
Customizable time in EST timezone (hour and minute inputs)
Adjustable line color, width, and style (solid, dashed, or dotted)
Automatically draws lines for all historical days
Projects one line into the future for the next occurrence
Works on all intraday timeframes. Future line appears as semi-transparent and dashed to distinguish from historical data.
MACD DEMA Strategy By HarveyStrategy Description – MACD + DEMA Quantitative Trading System
This strategy combines the Moving Average Convergence Divergence (MACD) indicator with a Double Exponential Moving Average (DEMA) trend filter to capture both momentum shifts and trend reversals with precision.
It’s designed for crypto perpetual futures, optimized for 1H–4H timeframes, and supports both long and short entries with configurable leverage and position sizing.
Core Logic
MACD Momentum Filter: Detects momentum acceleration and divergence between short- and long-term EMAs to confirm directional bias.
DEMA Trend Filter: Reduces lag compared to traditional EMAs, improving timing for entries and exits.
ATR-based Stop & Take-Profit: Dynamic risk control using ATR multipliers for stop-loss and target placement.
Dual-side Logic: Separate long/short conditions ensure symmetry and flexibility across market regimes.
Webhook Integration: Ready for automated execution via trading bots (e.g., Binance, Hyperliquid, Aster) using JSON-based alerts.
Key Features
Configurable parameters for DEMA, MACD, ATR, and leverage.
Optional higher-timeframe (HTF) trend confirmation.
Pyramiding control and adaptive volatility filters.
Partial take-profit and full-stop exit logic.
Detailed alert messages formatted for REST API automation.
Use Case
Ideal for traders seeking a balanced trend-following and momentum strategy, combining fast-moving averages with robust risk management.
Suitable for algorithmic execution or manual validation with clear visual cues on TradingView.
💡 Important:
To ensure correct signal generation, please set your chart’s Source to “MACD DEMA: signal.”
For optimal trend filtering, enable the HTF filter and set it to 240 (4H) to align lower-timeframe entries with higher-timeframe trends.
MACD DEMA Strategy for BinanceStrategy Description – MACD + DEMA Quantitative Trading System
This strategy combines the Moving Average Convergence Divergence (MACD) indicator with a Double Exponential Moving Average (DEMA) trend filter to capture both momentum shifts and trend reversals with precision.
It’s designed for crypto perpetual futures, optimized for 1H–4H timeframes, and supports both long and short entries with configurable leverage and position sizing.
Core Logic
MACD Momentum Filter: Detects momentum acceleration and divergence between short- and long-term EMAs to confirm directional bias.
DEMA Trend Filter: Reduces lag compared to traditional EMAs, improving timing for entries and exits.
ATR-based Stop & Take-Profit: Dynamic risk control using ATR multipliers for stop-loss and target placement.
Dual-side Logic: Separate long/short conditions ensure symmetry and flexibility across market regimes.
Webhook Integration: Ready for automated execution via trading bots (e.g., Binance, Hyperliquid, Aster) using JSON-based alerts.
Key Features
Configurable parameters for DEMA, MACD, ATR, and leverage.
Optional higher-timeframe (HTF) trend confirmation.
Pyramiding control and adaptive volatility filters.
Partial take-profit and full-stop exit logic.
Detailed alert messages formatted for REST API automation.
Use Case
Ideal for traders seeking a balanced trend-following and momentum strategy, combining fast-moving averages with robust risk management. Suitable for algorithmic execution or manual validation with clear visual cues on TradingView.
Bubble ChartBubble Chart- Visual Market Intelligence
⸻
⚡ Quick Start - Here is how you get started in 30 seconds
Default view (Y-axis: None) = market heatmap
X-axis always = performance
Bubble size = importance (your choice of metric)
Hover any bubble for details
Switch timeframes to change the measurement window
Pick any stock ticker to see their friends
Pick one of the 143 etfs listed below and see their top constituents
That's it. Everything else is deeper cuts of data
⸻
Overview
The Bubble Chart is a market-wide visual map designed to instantly reveal how thousands of stocks and ETFs are performing relative to their peers, all in a single glance.
It dynamically builds relationships between ~3,400 stocks and 143 ETFs , each with its own “friends list” of most-connected tickers. It’s a bit unlike all the other indicators, which you’ll see shortly. It’s a very Tops Down, then Sideways view of the market.
The 144 ETFs covered in the Bubble Chart indicator are listed here in this watchlist: www.tradingview.com
Each bubble represents a security.
X-axis → performance (% change)
Y-axis → variable (you choose the insight)
Bubble size → market cap, relative weight, or %volume
Color → relative performance (green up, red down)
Border → sector color
Your current chart’s timeframe determines the measurement window:
Intraday chart → today so far
Daily chart → week-to-date (WTD)
Weekly chart → month-to-date (MTD)
Monthly chart → year-to-date (YTD)
Everything is relative to that timeframe’s performance window — making it as useful for morning scans as for long-term sector rotations. I recommend starting with an intraday chart. The bubbles represent the day so far on this timeframe.
⸻
📦 Version Differences
Bubble Chart Lite (Free):
✓ All features and dimensions
✓ Up to 5 bubbles displayed
✓ Perfect for tracking top movers
Bubble Chart (Invite-Only):
✓ All features and dimensions
✓ Up to 38 bubbles displayed
✓ See actual market breadth and structure
✓ Indicator name: “Bubble Chart”
✓ Available under the indicator “Bubble Chart” (Invite-Only) — details on my profile
⸻
📊 Y-Axis Options
1. “None” - Heatmap Mode
By default, the Y-axis is set to “None”.
In this mode, the chart functions as a market heatmap, with:
Left-to-right representing relative performance (% change)
Bubble color indicating gain/loss
Bubble size reflecting your chosen metric (Market Cap, Weight, or %Volume)
Up-down randomized just for bubble separation
Think of it as a fancy heatmap with extra context — sector coloring, bubble sizing, and tooltips that surface live data.
Perfect for a quick snapshot of the day’s winners and losers across your selected universe.
⸻
1. %Turnover
This measures conviction behind each move.
Turnover = current money flow vs. average money flow over your lookback window.
A large % move with low turnover = a weak move with little backing.
A moderate % move with high turnover = strong participation, higher conviction.
This is my personal favorite morning setup — it instantly reveals where real buying and selling pressure is emerging as the session unfolds.
A horizontal line across your selected ticker acts as a benchmark, so you can compare others’ conviction levels relative to it.
Any %turnover score >100 means more money than average is flowing in and out of this name. In the example above, ELS, AMT, SUI, and PSA were positive on the day and saw more than the average amount of money being transacted on these tickers today. Do the same for the negative (KIM, ESS, HST, etc), and you know where the money is going. Below 100, the move lacked conviction.
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2. %ATR
Measures range expansion or compression relative to average volatility.
A stock can move big in price but stay inside a tight range → no expansion.
A stock can move little but break its typical volatility boundary → range expansion.
Expansion often signals momentum continuation; compression after large moves can precede turnarounds or consolidations.
This view helps you spot early volatility inflection points.
In the example above, in XLRE, you can see there are a lot of companies that are experiencing a range expansion to the downside. These stocks are now short setup stocks, as the power is pretty overwhelming (number of top companies as well as magnitude over the 100 index). However, there are 3 Stocks that are doing something completely different than the rest. AMT, SBAC, and CCI are experiencing range expansion (volatility) to the upside. These may become the new leaders. You would have to inspect each ticker to see what’s going on.
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3. ROC(5) Z-Score
Z-Score quantifies how far a data point deviates from its mean, measured in standard deviations.
Here it’s applied to 5-period Rate of Change (ROC5).
A high positive Z-Score = performance far above its historical average.
A low (negative) Z-Score = deeply oversold vs. history.
Use this view to identify stretched momentum or mean-reversion candidates:
Stocks high on the Y-axis and green = extended upside momentum
Stocks high but red = potential reversal zones
Stocks low and red = extreme washouts that may soon rebound
This makes it a powerful stock-picking lens for traders who look for reversions or contrarian entries.
The following is the XLU and its 5 top holdings. Looked at on the daily timeframe, which means the ROC(5) score is for its weekly ROC (see timeframe discussion above).
What you can see here is most stocks are within their normal acceleration band. However BIIB is very close to -200. This is uncommon.As you can see from the chart of BIIB with it’s ROC(5) graphed below it, this does indicate a short term turn, and is a high probability long setup.
⸻
4. RSI(15) Z-Score
Similar to the ROC version, but based on RSI(15).
It contextualizes RSI against its own historical distribution, not the fixed 0–100 scale.
When RSI’s Z-Score is above +100 → historically overbought.
Below -100 → historically oversold.
A stock with a high RSI Z-Score but negative performance may be starting to roll over.
A stock with a low RSI Z-Score but positive performance could be beginning a rebound.
This lens is especially powerful for early spotting of turning points in swing and position trades.
In this view, we can see a bunch of stocks that are at or below their -200 Z-Score which suggests RSI is going to increase soon. Taking a look at KKR, we see that it is indeed an area where we might want to look for a short term bounce. .
⸻
5. %52-Week High / %52-Week Low
These two let you visualize positioning within the broader yearly range.
%52-Week High:
Shows how close each ticker is to its highs. Stocks near the top may be in breakout mode.
%52-Week Low:
Shows distance from the lows. Watching these can highlight potential recovery trades — many reversals start when beaten-down stocks begin to cluster and climb from their lows.
Are you really going to want to mess around with VZ? Other companies are winning the race
⸻
⚙️ Bubble Size Options
Market Cap-
Larger companies = larger bubbles.
Ideal for weighting visibility by overall size of influence in the market or sector.
ETF/Friend Weight-
Scales bubbles by their relationship weight to the target ETF or stock.
This helps identify which peers or constituents exert the most pull within the current context.
%Volume-
This scales by relative volume to average volume.
Big bubbles here mean unusual activity, perfect for spotting where participation is surging.
⸻
👥 Friends — Relationship Mapping
Every ticker on the chart has its own “friends list.”
These aren’t arbitrary. They’re discovered through a multi-stage algorithm that analyzes co-occurrence of holdings across ETFs and sectors, roughly like social network analysis for stocks. This is what allows a chart of one stock to intelligently surface others that behave like it, whether through shared ETFs, sector overlap, or statistical co-presence.
Why Friends Matter: When you load AAPL, the chart doesn't just show random stocks. It shows AAPL's "friends", the tickers most connected to it through:
Shared ETF holdings
Sector relationships
Statistical co-movement
This means you're seeing AAPL's context, not just AAPL. Example: AAPL up 2% might look strong, but if all its friends are up 3-4%, AAPL is actually lagging. The chart reveals this instantly.
In this friendship look, you can see companies that are in better (and worse) shape for the month (we are looking at it on the “W” timeframe). If I didn’t own ORCL, INTC, or MU (hidden use tooltip), I should start looking at them.
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Common Setups - do these today
Morning Momentum Scan: - Y-axis: %Turnover - Bubble Size: %Volume - Look for: Top-right quadrant (high performance + high conviction)
Reversal Hunting: - Y-axis: RSI(15) Z-Score - Look for: Red bubbles above +100 (overbought rolling over) Green bubbles below -100 (oversold bouncing)
Sector Rotation: - Y-axis: None (heatmap mode) - Bubble Size: Market Cap - Look for: Color clustering by sector (border colors)
⸻
🧩 Data Sources
ETF Constituents:
ETF holdings are derived from information filed with the SEC’s EDGAR database, specifically N-PORT-P filings. These filings are public records submitted by ETF issuers.
Because EDGAR data can vary in structure and naming conventions, additional parsing, fuzzy matching, and ticker reconciliation logic were applied. Some inconsistencies may remain, and minor inaccuracies are possible.
EDGAR filings can also lag slightly behind real-time changes to ETF portfolios; however, for this visualization tool, that level of latency does not materially affect its purpose or insights.
Exchange & Share Count Data:
Information on exchanges and outstanding shares primarily comes from the SEC Company Facts API.
When unavailable, supplemental values are inferred from public SEC filings such as 8-K, 10-Q, and 10-K reports, and the SEC Company Submissions API for general company metadata.
All such data is publicly accessible through the SEC’s online systems.
I will update the SEC information on the ETFs once every 3 months to ensure etf constituent accuracy.
Sector & Industry Classification:
Sector and industry classifications were developed through a custom workflow that combines automated and human-reviewed methods.
An internal AI system analyzed each company’s publicly available website information to summarize business activities and assign one of 144 custom-defined industry categories.
Results were cross-checked by multiple independent classification models, and any uncertain outputs were manually reviewed for accuracy.
To improve interpretive consistency, publicly available information from StockAnalysis.com was also referenced (not republished) to inform final classifications.
Their content was used in accordance with their stated policy allowing limited reference with attribution — no full content or proprietary data was reproduced.
⸻
🚀 How to Use It
Load the Bubble Chart on any stock, ETF, or futures symbol.
Choose your Y-axis insight — start with “None” for the heatmap.
Adjust bubble size to highlight capital weight or activity.
Switch timeframes to shift context (today, this week, month, or year).
Hover bubbles for details: sector, turnover, z-scores, %volume, and more.
⸻
❓ Frequently Asked Questions
Q: Why do I only see 5 bubbles?
A: You're using Bubble Chart Lite. The full version shows up to 39 bubbles simultaneously for complete market breadth..
To get access:
Find the "Bubble Chart" (invite-only) indicator on TradingView
Read the description for access instructions
Or visit my TradingView profile for details
Q: Can I customize which tickers appear?
A: The indicator automatically selects the most relevant tickers based on the current chart's symbol and the friends algorithm. This ensures you're seeing context, not random stocks.
Q: What timeframe should I use?
A: Any timeframe works. The chart adapts: - Intraday = today's performance - Daily = week-to-date - Weekly = month-to-date - Monthly = year-to-date
Q: How often does the friends list update?
A: Friends relationships are recalculated periodically as ETF holdings change (once every 3 months). The relationships are stable enough that daily changes are minimal.
Q: Does this work on crypto/forex?
A: Currently optimized for US equities and ETFs. Other asset classes may show limited friends data.
Q: The chart looks cluttered. Help?
A: Start with Y-axis: None and Bubble Size: Market Cap. You can also choose to pick less number of bubbles which will clear up the chart
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The Bubble Chart is a market topology engine that visualizes participation, conviction, volatility, and sentiment in real time.
Whether you’re scanning morning momentum, identifying exhausted moves, or exploring ETF ecosystems, it gives you a spatial view of where the action really is.
PulseWhisper AI – Swing Trading Strategy)📌 PulseWhisper AI – Swing Trading Strategy
AI-Powered Elliott Wave Trading for Stocks, Indices & Crypto
PulseWhisper AI is a swing trading strategy that combines Elliott Wave market structure with advanced AI/ML confirmation filters to generate high-probability trade entries and clearly defined exit levels.
This strategy is designed for traders who want precision entries, smart scaling, and disciplined risk management without guesswork.
🔹 CORE CONCEPT
The strategy identifies Elliott Wave patterns (Wave 1–5 & ABC corrections) and times trades during the highest-probability phases (Wave 2 → Wave 3 and Wave C reversals).
To eliminate subjectivity, PulseWhisper AI uses machine learning confirmation filters including:
VWAP & Volume Profile (trend + liquidity confirmation)
RSI & Momentum Divergence
Candle Pattern Recognition
Market Structure (higher highs/lows or lower highs/lows)
AI Probability Scoring (confidence % on each signal)
Only when Elliott Wave structure and AI confirmation agree → a trade signal is generated.
✅ ENTRY LOGIC
Long Entry Example:
Price completes corrective Wave 2 or Wave C
Trend is bullish (above VWAP or higher timeframe trend)
AI confidence is high
Bullish confirmation candle → Buy signal
Short Entry Example:
Price completes corrective rally into Wave 2 or B
Trend is bearish (below VWAP or lower highs/lows)
AI confidence is high
Bearish confirmation candle → Sell signal
🎯 EXIT & TARGETS (Built-In Scaling)
PulseWhisper AI automatically calculates Fibonacci-based take-profit zones:
TP1 (40%): 0.618 Fib extension
TP2 (30%): 1.0 Fib extension
Runner (30%): 1.272 or 1.618 extension (trend continuation)
Stop-loss is based on structure (below Wave low / above swing high or adaptive ATR).
⏱️ RECOMMENDED TIMEFRAMES
Swing Trading:
1H, 2H, 4H, Daily
Optional confirmation from lower timeframes (15m / 30m).
📊 MARKETS SUPPORTED
This strategy works exceptionally well on:
SPX / SPY / ES
QQQ / NQ
Large-cap stocks (NVDA, AMD, AAPL, TSLA, etc.)
Crypto (BTC, ETH)
Forex & Futures
🧠 WHY IT WORKS
Most Elliott Wave traders fail due to subjective wave counts and emotional trading.
PulseWhisper AI solves this by:
✅ Automated wave logic
✅ Objective AI-based confirmations
✅ Pre-programmed scaling exits
✅ Built-in discipline & consistency
🧪 BACKTESTING & OPTIMIZATION
The strategy includes:
Trend filters
Risk management parameters
Multi-timeframe validation
AI confidence threshold
Users can adjust settings to match their risk profile & markets.
⚠️ DISCLAIMER
This script is for educational purposes only and not financial advice.
Past performance does not guarantee future results.
Always use proper risk management.
🚀 FINAL NOTE
PulseWhisper AI is built for traders who want a professional, structured, and AI-enhanced approach to swing trading.
No guessing. No emotions. Just high-probability wave-based setups enhanced by artificial intelligence.
Ride the Wave. Trade with AI Precision.
Multi-Timeframe Open & High/Low MarkersWill mark opening of month week quater year as input via user.
Also give option to mark high low at Specified Time Frame
One can use reference that if CMP is above monthly opening of High Low the script is bullish
and vice versa
Smart EMA-VWAP-Fib + Advanced RSI + MACD Filter + Dashboard v6.4This is a multi-layered trading system that attempts to filter trades using trend, momentum, RSI, divergence, and Fibonacci confluence.
It’s well-suited for swing trading or higher timeframe analysis, and the dashboard provides a quick overview of the current market conditions
Multi-indicator approach reduces false signals
Combines trend, momentum, and support/resistance (Fibonacci)
Advanced RSI logic including divergence detection
Flexible visualizations and dashboard
Customizable higher timeframe trend filter
Alerts
Final buy/sell alerts for automated trading or notifications
Optional detailed alerts for debugging:
RSI buy/sell
Strong buy/sell
Momentum buy/sell
Time Ranges Asia SessionWe have some time ranges in the day that as the price go beyond high or low of them, it countinue. Thus the brekout strategies work well. In this indicator Asia the time ranges and the candle closes higher or lower of range with alert signal depicted. We could opt which timeframe to have the candle close and could add ATR filter to the candle for signals.
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VWMA True Range | Lyro RSVWMA True Range | Lyro RS
This script is a hybrid technical analysis tool designed to identify trends and spot potential reversals. It employs a consensus-based system that uses multiple smoothed, Volume-Weighted Moving Averages (VWMA) to generate both trend-following and counter-trend signals.
Understanding the Indicator's Components
The indicator plots a main line on a separate pane and provides visual alerts directly on the chart.
The Main Line: This line represents a smoothed average of momentum scores derived from multiple VWMAs. Its direction and value are the foundation of the analysis.
Signal Generation: The tool provides two distinct types of signals:
Trend Signals: These trend-following signals ("⬆️Long" / "⬇️Short") activate when the indicator's consensus reaches a pre-set strength threshold, indicating sustained momentum in one direction.
Reversal Signals: These counter-trend alerts ("📈Oversold" / "📉Overbought") trigger when the main line breaks a previous period's level, hinting at exhaustion and a potential short-term reversal.
Visual Alerts:
Colored Background: The indicator's background highlights during strong trend signals for added visual emphasis.
Chart Shapes: Small circles appear on the main chart to mark where potential reversals are detected.
Colored Candles: You can choose to color the price candles to reflect the current trend signal.
Information Table: A compact table provides an at-a-glance summary of all currently active signals.
Suggested Use and Interpretation
Here are a few ways to incorporate this indicator into your analysis:
Following the Trend: Use the "Long" or "Short" trend signals to align your trades with the prevailing market momentum.
Spotting Reversals: Watch for "Oversold" or "Overbought" reversal signals, often accompanied by chart shapes, to identify potential market turning points.
Combining Signals: Use the primary trend signal for context and look for reversal signals that may indicate a pullback within the larger trend, potentially offering favorable entry points.
Customization Options:
You can tailor the indicator's behavior and appearance through several settings:
Core Settings: Adjust the Calculation Period and Smooth Length to make the main line more or less responsive to price movements.
Signal Thresholds: Fine-tune the Long threshold and Short threshold to control how easily trend signals are triggered.
Visual Settings: Toggle various visual elements like the indicator band, candle coloring, and the information table on or off.
Table Settings: Customize where the information table appears and its size to suit your chart layout.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not guarantee future results. It should be used as part of a comprehensive trading strategy that includes other analysis techniques and strict risk management. The creators are not responsible for any financial decisions made based on its signals.
Trader Jumblo AutoZone – Precision Entry SystemTrader Jumblo Auto Zone is a precision entry system developed by Trader Jumblo, designed for traders who demand accurate, fast, and structure-based market entries.
🚀 Core Features:
✅ Automatically detects Supply & Demand Zones from H1 & H4 structures
✅ Automatically plots Entry, Take-Profit (TP), and Stop-Loss (SL) based on active zones
✅ Provides LIVE Alerts when a candle touches a valid zone
✅ Zones automatically fade out after being used
✅ No repaint — all signals remain valid after bar confirmation
📊 Best Used For:
• Scalping & Intraday Trading
• Zone Confirmation & Retest Entries
• Works perfectly when combined with liquidity-based analysis
Timeframe LiquidityTimeframe Liquidity – Multi-Timeframe Highs & Lows by @archie_trades
Timeframe Liquidity automatically plots previous day, week, month, and year highs and lows — key liquidity zones used by smart money and price-action traders. These levels extend into the future and can automatically stop once price wicks through, showing clear liquidity sweeps and tested zones.
Perfect for traders using ICT concepts, liquidity theory, or market structure analysis. Instantly see where liquidity rests, where it’s been taken, and how price reacts at major support and resistance.
Features:
Auto-plots PDH/PDL, PWH/PWL, PMH/PML, PYH/PYL
Custom line styles, colors, and label sizes
Option to stop line on wick (liquidity sweep)
Smart timeframe visibility (hides same-TF levels)
Accurate UTC offset handling
Identify liquidity pools fast, trade cleaner charts, and track where smart money hunts liquidity.
Built for precision, clarity, and confluence.
Dynamic 21 SMA Zone S/R (Weekly and 2-Day)This custom indicator creates a dynamic support and resistance zone based on the 21-period Simple Moving Average (SMA) from the weekly timeframe and the 21-period SMA from the 2-day timeframe. The zone is visible and functional across all chart timeframes, adapting seamlessly to provide multi-timeframe insights.
Color Logic:
Green: When the current price is fully above the upper boundary of the zone, indicating potential bullish strength or a support level.
Gray: When the price is fully below the lower boundary, signaling potential bearish pressure or a resistance level.
Light Blue: When the price is within the zone (between the two SMAs), representing a neutral "no man's land" where the market is indecisive.
As the two SMAs converge or diverge, the zone naturally thins or widens, visually reflecting changes in market momentum—such as a thinning green zone during a potential reversal. Ideal for higher-timeframe swing trading to identify key levels, this indicator is also useful on lower timeframes for gauging the relative position of these SMAs, helping traders align short-term moves with broader trends.
Trend Dashboard – Buy Sell Signal Indicator [AlgoFlux]Trend Dashboard – Buy Sell Signal Indicator
The AlgoFlux Trend Dashboard is an advanced Buy & Sell Signal Indicator that combines EMA, RSI, MACD, and Volume Confluence across multiple timeframes — helping traders identify high-probability trend reversals, entries, and exits with precision.
Perfect for swing and intraday trading, it visually simplifies complex market conditions into a clean, actionable dashboard.
🔹 Key Features
✅ Multi-Timeframe Dashboard: Instantly view trend alignment across Daily, 4H, and 1H charts.
✅ Smart Buy & Sell Signals: Generated only when multiple conditions confirm trend strength.
✅ EMA Confluence Engine: Detects short-term and long-term crossovers with precision.
✅ Momentum & Volume Filter: Confirms signals using RSI and volume surge.
✅ Auto-Exit Alerts: Get notified for SL/TP or momentum reversal.
✅ Clean Visuals: Minimal clutter, professional color coding, and dashboard clarity.
✅ Ideal For: Swing Traders, Intraday Traders, and Algorithmic Trading Enthusiasts.
🔹 How It Helps Traders
✅ Avoid false breakouts using multi-indicator confirmation
✅ Identify trend direction in seconds
✅ Time entries and exits with maximum accuracy
✅ Works on all instruments: NSE, Forex, Crypto, Index, Commodities
✅ Designed for both manual trading and strategy development
📞 AlgoFlux Contact Info
🌐 Website: www.AlgoFluxIndicator.com
📩 Email: algofluxindicator@gmail.com
💬 Telegram Support: @AlgoFluxSupport
📢 Telegram Channel: t.me/AlgoFluxIndicator
📸 Instagram: @AlgoFluxIndicator
📺 YouTube: AlgoFlux TradingView Indicator
📊 TradingView: AlgoFlux
⚡ Trade Smarter. Trade Profitable.
Adaptive Range Breakout (UPDATED RBVC)RBVC UPDATED WITH TIGHTER RANGE TIMELY BREAKOUT. This as an updated version for range breakout with volume as the earlier indicator had delayed response time
PO3 Time Dividers//@version=6
indicator("Smart Time Dividers (Auto)", overlay=true, max_lines_count=500)
// Appearance (change if you want)
line_color = color.new(#74757a, 50) // faint dark gray (0 = opaque, 255 = invisible)
line_style = line.style_dotted
line_width = 1
extend_type = extend.both
// time parts for current bar
y = year(time)
mo = month(time)
d = dayofmonth(time)
h = hour(time)
mi = minute(time)
// detect chart timeframe (common TradingView strings)
tf = timeframe.period
is_m1 = tf == "1"
is_m5 = tf == "5"
is_m15 = tf == "15"
is_h1 = (tf == "60") or (tf == "1H")
is_h4 = (tf == "240") or (tf == "4H")
is_d = (tf == "D") or (tf == "1D")
is_w = (tf == "W") or (tf == "1W")
// boundary checks (true on the first bar of the requested boundary)
new_year = y != y // start of year
new_quarter = (mo != mo ) and (mo == 1 or mo == 4 or mo == 7 or mo == 10) // start of Q
new_month = mo != mo // start of month
// week detection: use weekofyear if available, else use monday midnight fallback
new_week = false
//@compile_time_only
new_week := weekofyear(time) != weekofyear(time ) // this works in Pine v5
new_day = d != d // start of day
new_4h = (h % 4 == 0) and (mi == 0) // start of 4-hour block
new_hour = mi == 0 // start of hour
// choose which boundary to draw depending on chart timeframe
boundary = false
if is_w
boundary := new_year // weekly -> yearly
else if is_d
boundary := new_quarter // daily -> quarterly
else if is_h4
boundary := new_month // 4h -> monthly
else if is_h1
boundary := new_week // 1h -> weekly
else if is_m15
boundary := new_day // 15m -> daily
else if is_m5
boundary := new_4h // 5m -> every 4 hours
else if is_m1
boundary := new_hour // 1m -> every hour
else
// fallback: draw monthly lines on unknown timeframes
boundary := new_month
// draw line only on the transition bar (avoid duplicates)
if boundary and not boundary
line.new(x1=bar_index, y1=high, x2=bar_index, y2=low, xloc=xloc.bar_index,
extend=extend_type, color=line_color, style=line_style, width=line_width)
Asian, UK & NY SessionTimes and Day Highs and LowsWhat It Does
The Asian, UK & NY Sessions indicator automatically identifies and highlights the three major global trading sessions on your chart.
For each session, it:
Detects session time in its local timezone.
Tracks the session’s highest and lowest prices.
Plots colored horizontal lines to show those levels throughout the trading day.
Optionally shades each session’s background in its signature color for instant visual context:
🟡 Asian Session: Yellow background
🔴 London Session: Red background
🔵 New York Session: Blue background
This helps traders see how price reacts within and between sessions — spotting overlaps, liquidity zones, and daily ranges.
⚙️ Inputs and Variables
Input Description
Extend lines until next session start (extendLines) Extends each session’s high/low lines forward until the next session begins.
Show prices in scale column (showScaleValues) Controls whether the price labels for session highs/lows appear on the chart’s right-hand price scale.
Show All Session Highs & Lows (showAllHighsLows) Master switch — turn this off to hide all session lines instantly, keeping the chart clean.
Show Session Backgrounds (showBackgrounds) Turns all background shading on or off. When off, all session colors disappear.
Background Opacity (bgOpacityAll) Adjusts the transparency for all session backgrounds (0 = solid, 100 = fully transparent).
🎨 Visual Color Scheme
Session Background High/Low Line
Asian Yellow Green
London Red Red
New York Blue Blue
Each color has a consistent role — making it easy to distinguish sessions even in replay or live view.
Price Tracking:
For each session, the indicator resets High and Low when the new session starts, then updates them as bars print.
Display Control:
If lines or backgrounds are disabled via settings, they’re completely hidden (no clutter, no partial transparency).
💡 How Traders Use It
Identify daily ranges in each global session.
Compare volatility between markets.
Align entries or exits with session transitions.
Observe how price respects previous session highs/lows.
Multi-TF MA Overlay (Double + Regular)Displays multiple moving averages from various timeframes (1m–30m) overlaid on a single chart.
Includes two independent MA sets for comparison and a same-timeframe regular MA.
All parameters are customizable.
Disclaimer: For visual analysis only — not financial advice.
Crypto Mean Reversion System (Pullback & Bounce)Mean Reversion Theory
The indicator operates on the principle that extreme price movements in crypto markets tend to revert toward their mean over time.
Consider this a valuable aid for your dollar-cost averaging strategy, effectively identifying periods ripe for accumulating or divesting from the market.
Research shows that:
Short-term momentum often persists briefly after surges, but extreme moves trigger mean reversion
Sharp drops exhibit strong bounce patterns, especially after capitulation events
Longer timeframes (7-day) show stronger mean reversion tendencies than shorter ones (1-day)
Timeframe Analysis
1-Day Timeframe
Pullback probabilities: 45-85% depending on surge magnitude
Bounce probabilities: 55-95% depending on drop severity
Captures immediate overextension and panic selling
More volatile but faster signal generation
7-Day Timeframe
Pullback probabilities: 50-90% (higher confidence)
Bounce probabilities: 50-90% (slightly moderated)
Filters out noise and identifies sustained trends
Stronger mean reversion signals due to extended moves
Probability Tiers
Pullback Risk (After Surges)
Moderate (45-60%): 5-10% surge → Expected -3% to -12% pullback
High (55-70%): 10-15% surge → Expected -5% to -18% pullback
Very High (65-80%): 15-25% surge → Expected -10% to -25% pullback
Extreme (75-90%): 25%+ surge → Expected -15% to -40% pullback
Bounce Probability (After Drops)
Moderate (55-65%): -5% to -10% drop → Expected +3% to +10% bounce
High (65-75%): -10% to -15% drop → Expected +6% to +18% bounce
Very High (75-85%): -15% to -25% drop → Expected +10% to +30% bounce
Extreme (85-95%): -25%+ drop → Expected +18% to +45% bounce
The probability ranges are derived from:
Crypto volatility patterns: Higher volatility than traditional assets creates stronger mean reversion
Behavioral finance: Extreme moves trigger emotional trading (FOMO/panic) that reverses
Historical backtesting: Probability estimates based on typical reversion patterns in crypto markets
Timeframe correlation: Longer timeframes show increased reversion probability due to reduced noise
Key Features
Dual-direction signals: Identifies both overbought (pullback) and oversold (bounce) conditions
Multi-timeframe confirmation: 1D and 7D analysis for different trading styles
Customizable thresholds: Adjust sensitivity based on asset volatility
Visual alerts: Color-coded labels and table for quick assessment
Risk categorization: Clear severity levels for position sizing
Commodity Pulse Matrix (CPM) [WavesUnchained] [Strategy]Commodity Pulse Matrix (CPM) - Strategy Version
⚠️ Development Status
ACTIVE DEVELOPMENT - This strategy is currently under heavy development and optimization. The risk management settings, entry/exit logic, and parameter tuning are still being refined and are NOT yet satisfactory for live trading.
Current development areas:
Stop-loss and take-profit optimization
Position sizing and risk management
Entry timing and signal filtering
Backtest validation across different market conditions
⚠️ Use for testing and backtesting only - NOT recommended for live trading yet!
For detailed information about the underlying indicator logic, signals, and analysis methods, please refer to the Commodity Pulse Matrix (CPM) indicator description.
Overview
The CPM Strategy is an automated trading system based on the Commodity Pulse Matrix indicator. It converts the indicator's multi-timeframe confluence signals into executable trades with dynamic ATR-based risk management.
Strategy Core Features
Signal Sources
The strategy trades based on:
Strong Buy/Sell signals from the CPM indicator
Multi-timeframe alignment (configurable: 3/3, 2/3, or score-only)
EMA-200 trend filter (prevents counter-trend entries)
Dynamic signal cooldown (5-8 bars)
Optional reversal zone signals (triple-confirmed)
Risk Management (ATR-Based)
Stop-Loss & Take-Profit
Stop-Loss: 2.5x ATR (default) - Dynamic distance based on volatility
Take-Profit: 4.0x ATR (default) - Risk/Reward ratio of 1.6:1
ATR Length: 14 periods (adjustable)
Both SL and TP adjust to current market volatility
Trailing Stop (Optional)
Enabled by default
Trails at 2.5x ATR distance
Protects profits in trending moves
Can be disabled for fixed SL/TP only
Position Management
Trade Direction Filter
Both Directions (default) - Trade both Long and Short
Long Only - Only enter long positions
Short Only - Only enter short positions
Cooldown After Exit
Default: 3 bars minimum after closing a position
Prevents immediate re-entry (whipsaw protection)
Adjustable from 0 (disabled) to any number of bars
Signal Filtering
Signal Mode (Timeframe Consensus)
Strict (3/3 TFs): All 3 timeframes must agree - Most conservative
Majority (2/3 TFs): At least 2 of 3 timeframes agree - Balanced (default)
Flexible (Score Only): Overall score threshold only - Most signals
Optional Filters
Min ABS(overallScore): Only trade when confluence score meets minimum (default: 0 = disabled)
Confirmed Bar Only: Wait for bar close before entry (prevents repainting) - Recommended ON
Strategy Settings Guide
For Conservative Trading (Lower Risk)
Signal Mode: "Strict (3/3 TFs)"
Stop-Loss: 3.0x ATR or higher
Take-Profit: 5.0x ATR or higher
Trailing Stop: Enabled
Cooldown: 5-10 bars
Min Score: 8.0 or higher
For Aggressive Trading (More Signals)
Signal Mode: "Flexible (Score Only)"
Stop-Loss: 2.0x ATR
Take-Profit: 3.0x ATR
Trailing Stop: Optional
Cooldown: 0-3 bars
Min Score: 4.0 or disabled
For Balanced Trading (Recommended Starting Point)
Signal Mode: "Majority (2/3 TFs)"
Stop-Loss: 2.5x ATR
Take-Profit: 4.0x ATR
Trailing Stop: Enabled
Cooldown: 3 bars
Min Score: 6.0-8.0
TradingView Strategy Tester Settings
Essential Settings to Configure:
Properties Tab
Initial Capital: Set to realistic account size
Order Size: Use "% of Equity" (e.g., 10-25% per trade)
Commission: Set realistic commission (e.g., 0.05% for crypto, 0.1% for stocks)
Slippage: Add realistic slippage (1-3 ticks for liquid markets)
Verify "Recalculate: On Every Tick" is DISABLED (for realistic backtests)
Inputs Tab
Adjust ATR multipliers for your market
Set appropriate cooldown period
Choose signal mode based on desired trade frequency
Enable/disable trailing stop
Configure directional filter if needed
Backtesting Recommendations
Before Using This Strategy:
Test across multiple markets - What works for one commodity may not work for another
Test different timeframes - Strategy behavior changes significantly with TF
Test different market conditions - Trending vs ranging markets
Validate performance metrics - Win rate, profit factor, max drawdown, Sharpe ratio
Forward test on paper account - Before risking real capital
Key Metrics to Monitor:
Win Rate (aim for >40% minimum)
Profit Factor (aim for >1.5)
Max Drawdown (should be acceptable for your risk tolerance)
Sharpe Ratio (higher is better, >1.0 is good)
Average Trade (should be positive after commissions/slippage)
Known Limitations
Range-bound markets: May produce more whipsaws despite filters
Low volatility: ATR-based stops may be too tight
High volatility: ATR-based stops may be too wide
News events: Strategy cannot account for fundamental shocks
Signal timing: Entry timing is still being optimized
Indicator vs Strategy
When to use the Indicator:
- Manual trading with discretion
- Confluence analysis and timing
- Multiple signal validation
- Learning market structure
When to use the Strategy:
- Automated backtesting
- System validation
- Parameter optimization
- Performance measurement
⚠️ The indicator provides richer information and context than the strategy can execute!
Technical Details
Pine Script v6
Non-repainting: Uses confirmed bars for HTF data
Strategy type: Long/Short with dynamic stops
Risk management: ATR-based (adaptive to volatility)
Position sizing: Configured in Strategy Tester
Pyramiding: Default 1 (no adding to positions)
Important Notes
⚠️ Strategy parameters are still under optimization - Current settings may not be optimal for all markets or timeframes
⚠️ Backtest thoroughly before live trading - Test across different market conditions and timeframes
⚠️ Risk management is critical - Use appropriate position sizing (1-2% risk per trade recommended)
⚠️ Market conditions change - A strategy that works in trending markets may fail in ranging markets
⚠️ Commission and slippage matter - Always include realistic costs in backtests
✅ Start with conservative settings and optimize gradually
✅ Paper trade before going live
✅ Monitor performance and adjust as needed
✅ Never risk more than you can afford to lose
Disclaimer
Educational and testing purposes only. Not financial advice.
This strategy is provided as-is for backtesting and educational purposes. Past performance is not indicative of future results. Trading involves substantial risk of loss. The developer is not responsible for any losses incurred from using this strategy. Always do your own research, backtest thoroughly, and consult with a qualified financial advisor before making trading decisions.
NEVER use this strategy with real money until:
You have thoroughly backtested it on your specific market and timeframe
You understand all parameters and their impact
You have forward tested it on a paper account
You are comfortable with the maximum drawdown and risk profile
The strategy has been marked as production-ready by the developer
Version
v1.2 - Strategy Adapter (Active Development)
Based on: Commodity Pulse Matrix v1.2 Indicator
Last Updated: 2025-10-10
For detailed indicator documentation, see the Commodity Pulse Matrix (CPM) indicator description.
