Heikin Ashi Signal (Eig)This indicator draws Buy and Sell signals on the current candlestick, based on a complete reversal pattern of the previous three Heikin Ashi (HA) candlesticks:
🟢 Buy Entry (Reversal to Long):
A buy entry signal when the trend changes from bearish (downtrend) to bullish (uptrend).
Pattern: 2 Red HA Bars → followed by 1 Green HA Bar
🔴 Sell Entry (Reversal to Short / Exit Long):
A sell entry/reversal signal when the trend changes from bullish (uptrend) to bearish (downtrend).
Pattern: 2 Green HA Bars → followed by 1 Red HA Bar
💡 How to Use
This indicator is suitable for use as a confirmation tool:
Entry/Exit: Use the triangle signals (Buy/Sell) as entry/exit points.
المؤشرات والاستراتيجيات
Bollinger RSI Stochastic Strategy by TitikSona🧠 Description
Bollinger RSI Stochastic Strategy by TitikSona
This indicator combines Bollinger Bands, RSI, and Stochastic to provide an educational view of potential market conditions. It highlights areas where price, momentum, and volatility align, helping traders observe overbought and oversold conditions with optional re-entry tracking.
⚙️ Core Components
1. Bollinger Bands
- 20-period SMA as basis, with adjustable standard deviation
- Upper and lower bands highlight price extremes and potential volatility zones
2. RSI (Relative Strength Index)
- 14-period RSI with overbought and oversold thresholds
- Helps identify potential momentum exhaustion areas
3. Stochastic Oscillator
- %K and %D with smoothing
- Provides confirmation of momentum shifts within Bollinger Bands context
🎯 Observing Signals
- Buy condition: price near lower Bollinger Band, RSI below oversold, and %K crosses above %D
- Sell condition: price near upper Bollinger Band, RSI above overbought, and %K crosses below %D
- Signals are **informational markers** displayed as labels on the chart
- Maximum re-entries per trade can be tracked for observation purposes
- Does not guarantee profitable trades; used as a reference for market analysis
💡 How to Use
- Observe signals as **potential reference points**, not guaranteed entry points
- Combine with other technical analysis tools, such as support/resistance, trendlines, or volume for confirmation
- Adjust parameters to suit your preferred timeframe and market conditions
⚠️ Risk Management
- This indicator is **educational** and does not guarantee profits
- Always use proper position sizing and risk controls
- Test thoroughly in demo or paper trading environment before live application
🆓 Open & Free
- Fully open-source and free to use or modify for learning purposes
BOS INDICATOR )Good for breaking structures. tells you where a break in structure occurs by outlining the break in structure in a red or green candle
DWMCOverview
Welcome to the OmniPivot Range Analyzer: DWM, an exclusive PineScript tool crafted for traders who utilize Central Pivot Range (CPR) analysis. This indicator delivers precise Daily, Weekly, and Monthly CPR levels, complete with support/resistance zones, historical CPR width tracking, and a powerful trading strategy. Designed for traders seeking an edge, this script offers unparalleled flexibility and insight for intraday, swing, or long-term trading.
Key Features
Multi-Timeframe CPR: Seamlessly plots CPR (Pivot, BC, TC) for Daily, Weekly, Monthly, or custom timeframes on any chart.
Support/Resistance Levels: Visualizes up to three levels of support (S1-S3) and resistance (R1-R3) for robust price analysis.
CPR Width: Tracks CPR width as a percentage in a table, revealing market volatility and breakout potential.
How to Use
Trading: Use CPR levels as key support/resistance zones. Leverage the breakout strategy for automated signals or manual confirmation.
Best Practices: Combine with other indicators (e.g., RSI, volume) and backtest the strategy thoroughly.
Get Started
To use the OmniPivot Range Analyzer: DWM, apply the script to your chart and explore its settings. For questions or support, contact the creator directly via TradingView. Thank you for being part of this exclusive release!
Disclaimer
This script is for educational and informational purposes only. Trading carries risks, and past performance does not guarantee future results. Always perform your own analysis and consult a financial advisor before trading.
Bubble Chart LiteBubble Chart Lite - 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 based on the top 5 holdings of GDX, there was one standout performer, and that’s WPM. this should put WPM on a watchlist if you’re interested in gold. It shows, that at least for one day, the market was putting money behind it.And more so than the other top 5 miners.
⸻
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 the food and beverage space, based on the top 5 holdings of the ETF PBJ, KR and DASH had moves that will expand their ATR. This means volatility is increasing for this ticker, in the direction of the color of the circle. So KR is expanding to the upside, while DASH is expanding to the downside. It should make a person cautious to go long DASH, as that’s not what the market is showing.The other moves by the other bobbles, show up as volatility contraction. Their price (CTVA, PBJ, KDP, and SYY) is stabilizing. (over the lookback period in settings).
⸻
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 NEE is at a z-score of 205 (it’s 2.05 but we multiply by 100 for spacing). This means its weekly ROC(5) only happens 4-5 percent of the time. This is a perfect candidate to fade the move.
As you can see in the graph below, that charts NEE, every time its ROC(5) z-score (the bottom pane) has reached this level on the weekly, the move ends (at least for a short period of time. The rubber band of momentum is too far extended. You can use this for long setups too
⸻
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.
Above is an example of how to read it with the top 5 stocks in the IFRA ETF.
⸻
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.
⸻
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
⸻
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.
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.
⸻
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.
⸻
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.
⸻
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
⸻
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.
Momentum Explosion (by TitikSona)🧠 Description
Momentum Explosion (by TitikSona)
This indicator combines EMA, SMA, CCI, and RSI to provide an educational view of potential momentum changes in the market. It is intended as a tool to help traders observe market conditions, not as a guaranteed entry system.
⚙️ Core Components
1. Moving Averages
- EMA 8: captures short-term trend
- SMA 26: captures medium-term trend
- Crossover between EMA and SMA highlights changes in trend momentum
2. Commodity Channel Index (CCI)
- Fast CCI (34) and Slow CCI (55)
- Measures deviation from average price, helping identify potential momentum shifts
3. Relative Strength Index (RSI)
- 26-period RSI with adjustable threshold
- Highlights periods when momentum may be strengthening
🎯 Observing Signals
- Buy Signal: EMA crosses above SMA, CCI values positive, RSI above threshold
- Sell Signal: EMA crosses below SMA, CCI values negative, RSI below threshold
- Signals are **informational markers** displayed as green (BUY) and red (SELL) triangles
- Background shading highlights potential momentum areas, but does not guarantee results
💡 How to Use
- Observe signals as **potential reference points**, not as guaranteed trade recommendations
- Combine with other technical analysis methods such as trendlines, support/resistance, or price action
- Adjust parameters to match preferred timeframe or market conditions
⚠️ Risk Management
- This indicator is **educational** and does not guarantee profitable trades
- Always apply proper position sizing and risk controls
- Test thoroughly in a demo or paper trading environment before applying live
🆓 Open & Free
- Fully open-source and free to use or modify for learning purposes
MA & EMA with Colored LabelsIt contains three periods of MA and EMA moving averages, and at the same time, it shows whether the closing price of N days ago is higher than the current price by marking
Double Stochastic & RSI Signals (Custom by TitikSona)📊 Overview
Dual Stochastic RSI Oscillator is an educational trading tool designed to help users analyze market momentum using two Stochastic oscillators combined with an RSI filter. This indicator provides a multi-layered view of short-term and long-term momentum, assisting traders in observing potential entry and exit areas based on technical analysis concepts.
⚙️ Core Components
1. Dual Stochastic System
- Fast Stochastic: K=12, D=3, Slowing=20 (captures short-term momentum)
- Slow Stochastic: K=100, D=8, Slowing=8 (captures longer-term trends)
- Provides perspective on both immediate and sustained price movements
2. RSI Filter
- 26-period RSI with 30-70 thresholds
- Acts as a filter to help identify times when the market is within a neutral range
🎯 Observing Signals
- The indicator highlights potential areas where momentum conditions may align:
- Lower oscillator zone: indicates potential oversold conditions
- Upper oscillator zone: indicates potential overbought conditions
- Triangles appear as visual markers, showing where the Fast and Slow Stochastic readings converge in relation to the RSI filter
- These markers are **informational only** and should be considered in combination with other analysis
📊 Visual Features
- Fast Stochastic lines: Blue & Orange
- Slow Stochastic lines: Green & Red
- RSI line: Purple
- Dashed lines: Key levels (Stochastic 20/50/80, RSI 30/70)
- Background color highlights overbought (red tint) and oversold (green tint) zones for visual guidance
🔔 Additional Features
- Value table displays real-time readings of all components
- Alerts can be enabled for visual markers, showing when oscillator conditions meet defined thresholds
- Parameters and colors are fully customizable
💡 How to Use
- Observe triangle markers along with Stochastic and RSI values
- Combine this information with other technical analysis tools, such as support/resistance, trendlines, or candlestick patterns
- Adjust parameters to match your preferred timeframe and market
⚠️ Risk Management
- This indicator is **educational** and does not provide guaranteed signals
- Always use proper position sizing and risk management
- Test thoroughly in a demo environment before applying to live trading
- Use in combination with other analysis techniques and market context
🆓 Open & Free
- This script is fully open-source and free to use or modify for learning purposes
Stochastic & RSI Oscillator with Signals (Custom by TitikSona)📊 Overview
The Stochastic & RSI Oscillator with Signals is an educational trading tool that combines two Stochastic oscillators with an RSI filter, and highlights potential market conditions using visual signals. It provides a multi-layered view of short-term and long-term momentum, helping traders observe overbought and oversold areas with visual markers.
⚙️ Core Components
1. Dual Stochastic System
- Stochastic 1 (Fast): K=12, D=3, Slowing=20
- Stochastic 2 (Slow): K=100, D=8, Slowing=8
- Provides both short-term and longer-term momentum perspectives
2. RSI Filter
- 26-period RSI with adjustable upper (default 70) and lower (default 30) levels
- Highlights neutral, overbought, and oversold conditions
🎯 Signals & Visualization
- Buy Signal: Both Stochastic lines indicate oversold AND RSI is within the defined range
- Sell Signal: Both Stochastic lines indicate overbought AND RSI is within the defined range
- Signals are displayed as green (BUY) and red (SELL) triangles on the oscillator window
- Labels show current Stochastic and RSI values for each signal
- Alerts can be enabled to notify when conditions are met
- Background shading indicates potential overbought (red) or oversold (green) zones
- A table displays real-time indicator readings and signal status
💡 How to Use
- Observe signals as informational markers, not guaranteed entry points
- Compare fast vs. slow Stochastic readings to understand short-term vs. long-term trends
- Use RSI to confirm whether market momentum is moderate
- Combine with other technical analysis tools, such as support/resistance, trendlines, or price action for context
⚠️ Risk Management
- This indicator is **educational** and does not guarantee profitable trades
- Always practice proper position sizing and risk control
- Test thoroughly in demo or paper trading environments before live application
🆓 Open & Free
- Fully open-source and free to use or modify for learning purposes
EMC Sessions New York Open Stock 2.1This indicator marks the New York Open session (09:30–10:00 EST), a key period of volatility and market activity.
It highlights the session using a subtle gray box that expands with price movement, allowing traders to easily visualize when volatility typically increases.
Two thin dotted lines at 11:00 and 15:00 act as timing references for additional activity phases that often occur during the U.S. trading day.
Use this tool to track session timing and volatility shifts with precision while maintaining a clean, unobtrusive chart view.
My EMA IndicatorMy Absolutely Profitable Indicator
It can be use when ema9 crosses ema100 and so on...
Use it with Volume Oscillator...
Crypto Black swan theory 加密黑天鵝事件標記Only displayed on the daily K-line.
Open source code.
Can be copied and modified.
只在日K顯示
開源程式碼
可以自己複本出去改
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.
DM S/RWhat the indicator does
DM S/R dynamically finds and plots horizontal lines that represent key support (green) and resistance (red) areas, based on pivot highs and lows.
Support (lime/green line) → Area where price tends to bounce upward.
Resistance (red line) → Area where price tends to reject or pull back.
These lines update automatically when new pivots form.
Essentially, it helps you visually map the price structure — where buying or selling pressure historically appeared.
三维资金流向（多色版）1️⃣ Colors Correspond to Capital Flow
Based on your multi-color logic:
Green bars → BTC-only inflow
Blue bars → Major altcoins-only inflow
Yellow bars → BTC + major altcoins inflow simultaneously
Red bars → USDT inflow (risk-off / capital retreat)
On the chart, you can observe:
Red bars densely appearing → BTC and alt prices often consolidate or decline, indicating market funds are retreating to safety.
Green bars concentrated → BTC is generally in an uptrend, indicating capital is mainly flowing into BTC.
Blue bars appearing → Major altcoins may rise while BTC is flat, showing that altcoins are absorbing funds.
Yellow bars appearing → BTC and altcoins rise together, usually signaling an overall bullish market.
2️⃣ Observed Patterns
Capital flow vs price movement:
Green + Yellow bars concentrated → BTC shows clear upward movement
Blue bars concentrated → Altcoins rise noticeably
Red bars → Both BTC and altcoins may decline or consolidate
Capital rotation phenomenon:
Red → Green → Yellow → Blue → Can be seen as a rotation of USDT → BTC → BTC+Alt → Alt
This indicates that at different stages, the market rotates between risk-off, major assets, and altcoins.
Volatility:
Tall, frequently alternating bars → Market volatility is high
Short bars → Capital flow is weak, market tends to move sideways
Eig V1This indicator draws Buy and Sell signals on the current candlestick, based on a complete reversal pattern of the previous three Heikin Ashi (HA) candlesticks:
🟢 Buy Entry (Reversal to Long):
A buy entry signal when the trend changes from bearish (downtrend) to bullish (uptrend).
Pattern: 2 Red HA Bars → followed by 1 Green HA Bar
🔴 Sell Entry (Reversal to Short / Exit Long):
A sell entry/reversal signal when the trend changes from bullish (uptrend) to bearish (downtrend).
Pattern: 2 Green HA Bars → followed by 1 Red HA Bar
💡 How to Use
This indicator is suitable for use as a confirmation tool:
Entry/Exit: Use the triangle signals (Buy/Sell) as entry/exit points.
Simple RSIThis script is just a fun little project I decided to do. It serves as a way for me to practice my coding and was not made with the intent of making money.
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
WMA Slope-Confirm Strategy [Highly Customizable]WMA 1/9 Slope-Confirm Strategy
Trend-following strategy that buys only when both fast (WMA 1) and slow (WMA 9) moving averages are rising, with the fast above the slow. Optional slope thresholds, ATR volatility filter, session/time filters, cooldown after exits, and stop/target management. Designed to reduce false entries in choppy markets while capturing sustained momentum swings. #WMA #trendfollowing #momentum #ATR #breakouts #algo #strategy
Market Regime (w/ Adaptive Thresholds)Logic Behind This Indicator
This indicator identifies market regimes (trending vs. mean-reverting) using adaptive thresholds that adjust to recent market conditions.
Core Components
1. Regime Score Calculation (0-100 scale)
Starts at 50 (neutral) and adjusts based on two factors:
A. Trend Strength
Compares fast EMA (5) vs. slow EMA (10)
If fast > slow by >1% → +60 points (strong uptrend)
If fast < slow by >1% → -60 points (strong downtrend)
B. RSI Momentum
Uses 7-period RSI smoothed with 3-period EMA
RSI > 70 → +20 points (overbought/trending)
RSI < 30 → -20 points (oversold/mean-reverting)
The score is then smoothed and clamped between 0-100.
2. Adaptive Thresholds
Instead of fixed levels, thresholds adjust to recent market behavior:
Looks back 100 bars to find the min/max regime score
High threshold = 80% of the range (trending regime)
Low threshold = 20% of the range (mean-reverting regime)
This prevents false signals in different volatility environments.
3. Regime Classification
Regime Score Classification Meaning
Above high threshold STRONG TREND Market is trending strongly (follow momentum)
Below low threshold STRONG MEAN REVERSION Market is choppy/oversold (fade moves)
Between thresholds NEUTRAL No clear regime (stay out or wait)
4. Regime Persistence Filter
Requires the regime to hold for a minimum number of bars (default: 1) before confirming
Prevents whipsaws from brief score fluctuations
What It Aims to Detect
When to use trend-following strategies (green = buy breakouts, ride momentum)
When to use mean-reversion strategies (red = buy dips, sell rallies)
When to stay out (gray = unclear conditions, high risk of false signals)
Visual Cues
Green background = Strong trend (momentum strategies work)
Red background = Strong mean reversion (contrarian strategies work)
Table = Shows current regime, color, and score
Alerts = Notifies when regime changes
TSM + ADX Trend PowerLogic Behind This Indicator
This indicator combines two momentum/trend tools to identify strong, reliable trends in price movement:
1. TSM (Time Series Momentum)
What it does: Measures the difference between the current price and a smoothed average of past prices.
Formula: EMA(close - EMA(close, 14), 14)
Logic:
If TSM > 0 → Price is above its recent average = upward momentum
If TSM < 0 → Price is below its recent average = downward momentum
2. ADX (Average Directional Index)
What it does: Measures trend strength (not direction).
Logic:
ADX > 25 → Strong trend (either up or down)
ADX < 25 → Weak or no trend (choppy/sideways market)
Combined Logic (TSM + ADX)
The indicator only signals a trend when both conditions are met:
Condition Meaning
Uptrend TSM > 0 AND ADX > 25 → Strong upward momentum
Downtrend TSM < 0 AND ADX > 25 → Strong downward momentum
No signal ADX < 25 → Trend is too weak to trust
What It Aims to Detect
Strong, sustained trends (not just noise or small moves)
Filters out weak/choppy markets where momentum indicators often give false signals
Entry/exit points:
Green background = Strong uptrend (consider buying/holding)
Red background = Strong downtrend (consider selling/shorting)
No color = Weak trend (stay out or wait)
Dual Options Price Tracker – Visualize Call & Put Strikes v2Description:
This innovative indicator provides a unique, real-time visualization of both Call and Put option prices for the same strike price directly on your TradingView chart. Designed for active options traders, it simplifies the analysis of price action for specific strikes, helping you quickly identify significant levels and potential shifts in market interest.
important : choose only put strike call strike automatically plot on chart
This indicator works with Indian market (nifty , banknifty ,sensex ,crudeoil , naturalgas )
Key Features:
Integrated Call & Put Prices: Clearly displays the prices of both Call and Put options for a user-defined strike price within the same indicator pane, offering an immediate side-by-side comparison.
Real-time Data: Plots live option price updates, allowing you to monitor the dynamic interplay between Calls and Puts throughout the trading session.
Intuitive Visualization: Transforms complex options data into easily digestible lines on your chart, making it easier to spot trends, relative strength, and support/resistance levels at crucial strikes.
User-Friendly Inputs: Simple input fields allow you to easily select the underlying symbol, expiry date, and the specific strike price you wish to monitor.
Enhanced Options Analysis: A valuable tool for gauging market participants' expectations and positioning at key psychological or technical levels.
How to Use:
Add the "Dual Options Price Tracker" to your chart.
The indicator will then plot the corresponding Call and Put prices on your chart in real time.
Important Note:
This indicator provides a visual tool for options analysis and does not constitute financial advice.
Options trading involves significant risk and may not be suitable for all investors.
Users are encouraged to combine this tool with their own comprehensive analysis and risk management strategies.
