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ATR SL 10/10 This indicator draws an ATR-based trailing stop on the main chart and shows two compact labels: • Stop line = Low − (ATR × Multiplier). • “Today” label: the current bar’s stop price. • “5-bar Max” label: the highest stop value over the last N bars (rolling window). Labels auto-separate slightly if they overlap so both remain readable. ATR selection logic • On confirmed bars (after close): uses today’s ATR. • In real-time (bar not confirmed): uses max(today’s ATR, yesterday’s ATR) to avoid under-estimating volatility early in the session. Inputs • Length: ATR period. • Smoothing: RMA/SMA/EMA/WMA for ATR. • Multiplier: stop distance in ATR units. • Long Base: price source for the long stop (usually Low). • Show Price Line: toggle the pink stop line. • Lookback: window for the rolling 5-bar maximum label. Notes • Overlay = true; the line scales with the price chart. • Prices/labels use mintick formatting for clean alignment. • Works on any timeframe; ATR is computed from the active chart’s bars with the above real-time safeguard.
Pine Script® 인디케이터
turtlekim의
ATR RS 10/11ATR RS — What it does (English) • Purpose: A compact risk-sizing helper that plots Daily ATR(10, RMA) in a separate panel and shows a live sizing summary (ATR used, Stop, Per-unit risk, Risk, Size, Bet). Works on any chart timeframe. • Daily ATR logic (robust intraday handling): – Before first trade of the session: use yesterday’s daily ATR only. – During the session (daily candle unconfirmed): use max(today’s daily ATR, yesterday’s daily ATR) to avoid underestimating volatility early in the day. – After the daily candle closes: use today’s daily ATR. • Stop rule (long bias): Stop = Today’s Daily Low − Multiplier × ATR_used • Position sizing: Per-unit risk = max(Entry − Stop, 0) × PointValue Raw size = RiskAmount / Per-unit risk Final size = floor(Raw size / LotSize) × LotSize (Optional cap via Max Position Cap; negatives coerced to 0.) • “Entry” price: current chart close (i.e., real-time last for intraday, or close for historical/confirmed bars). • Panel fields: – ATR(10): Daily ATR(10, RMA) – ATR used: the volatility value selected by the intraday rule above – Stop: computed stop price (you can snap to tick if desired) – Per-unit: risk per share/contract = (Entry − Stop) × PointValue – Risk: user input, account currency – Size: position size after lot rounding and cap – Bet: Entry × Size × PointValue • Inputs: – ATR Length (Daily RMA), Multiplier (for stop), Risk Amount, Point Value (stocks=1; futures=contract point value), Lot Size, Max Position Cap, Show summary table. • Notes: – Uses request.security(“D”, …) with no lookahead, so the same ATR is used consistently regardless of the chart timeframe. – If your venue has fractional ticks, consider snapping the Stop to tick size so labels and price markers match perfectly.
Pine Script® 인디케이터
turtlekim의
"Top 20 Crypto Coins Table Screener + SuperTrend & EMA 9/21 CrosThis indicator is a powerful table screener for the top 20 crypto coins, updated for 2025 and designed for maximum clarity and speed. It displays customizable columns for Symbol, Price, SuperTrend ("Up"/"Down"), and EMA 9/21 crossover signals ("Buy"/"Sell") across multiple assets on a single chart. Features: Covers 20 major coins (edit the symbol list for preferences). SuperTrend direction and coloring, for quick visual identification of trend. EMA 9/21 crossover logic for rapid momentum buy/sell decisions. Fast table rendering, minimal lag—even on basic hardware. All logic, table columns, and alerts directly built into the script. How To Use: Paste the indicator code into Pine Editor and save it. Activate for your preferred timeframes and coins. View the table at the top right for actionable signals. Easy to customize ticker symbols and table layout. Remarks: No RSI, ADX, or TSI for speed—focus is on high-impact trend/momentum signals. Ideal for day traders, swing traders, and crypto investors monitoring broader markets. For questions, improvements, or feedback, comment on the script page or connect via TradingView.
Pine Script® 인디케이터
All_in_Traders의
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
Pine Script® 인디케이터
TitikSona의
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.
Pine Script® 인디케이터
YogicYield의
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.
Pine Script® 인디케이터
Tr33man의
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.
Pine Script® 인디케이터
Tr33man의
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
Pine Script® 인디케이터
TitikSona의
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
Pine Script® 인디케이터
TitikSona의
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
Pine Script® 인디케이터
TitikSona의
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.
Pine Script® 인디케이터
EzobT_WWA의
Auto SND Detector (RBR, DBR, RBD, DBD) - TitikSona🧠 Description Auto SND Detector (RBR, DBR, RBD, DBD) – TitikSona This indicator automatically detects Supply and Demand (SND) zones based on four classical price patterns: 🔵 RBR (Rally–Base–Rally) – Potential Demand Continuation 🟢 DBR (Drop–Base–Rally) – Potential Demand Reversal 🟠 RBD (Rally–Base–Drop) – Potential Supply Reversal 🔴 DBD (Drop–Base–Drop) – Potential Supply Continuation The indicator identifies small base candles between two larger opposing candles, following the classical SND concept, and draws zone boxes automatically. Box colors indicate the type of zone: 🟩 Light Green → RBR 🟦 Teal → DBR 🟧 Orange → RBD 🟥 Red → DBD ⚙️ How It Works - Analyzes three consecutive candles (left, base, right) to detect structures like Rally–Base–Drop or Drop–Base–Rally. - The middle candle (base) is considered valid if its size is smaller than a specified percentage (Base max % of avg range), indicating a consolidation area. - Zones are drawn automatically and extended several bars to the right (Box extend). - Optional labels and colors help quickly identify each pattern. 📈 Key Features - Automatic detection of four main SND patterns - Colored zones for quick visual identification - Optional zone labels for easier reference - Built-in alerts for detected patterns - Adjustable parameters: base sensitivity, lookback, and zone length 💡 Usage Tips - Best used on H1 or higher timeframes (H4/D1) for cleaner zone identification - Combine with other analysis techniques, such as trend filters (EMA 50/200) or market structure, for context - Zones can be used as a **visual reference** for potential areas of supply and demand, but should not be interpreted as guaranteed entry signals 🧩 Main Parameters - Base max % of avg range → Sensitivity for base size - Lookback bars → Number of candles analyzed backward - Box extend → How far the zone extends to the right - Show labels → Display pattern labels 📢 Notes - This indicator is **informational and educational** - Always use additional confirmation (price action, volume, trend indicators) before making any trading decisions - Past patterns do not guarantee future price movements
Pine Script® 인디케이터
TitikSona의
Ultimate RSI (14) TDBurbin's RSI Alerts: RSI alerts can be used ONLY when you're awaiting a chart to shift it's momentum. Example: You are waiting for a take profit signal and you'd like a push notification when this is triggered. These are NOT intended to be Buy and Sell signals. Only to get your attention. Pair with other confirmations. **There are 4 alerts. "RSI Bullish Cross" "RSI Bearish Cross" "RSI Bounce Buy" "RSI Sell". Both of the Cross alerts can be early. Can be too early. The RSI Bounce Buy and RSI Sell are when the RSI line has crossed back inside the outer bands; from Oversold or Overbought. They are a fairly reliable signal, especially when used with other TA such as support, volume, etc. Default Overbought is 80, default oversold is 20. Can be used on multiple timeframes. This is a modified version of LuxAlgo's Ultimate RSI. This is for education purposes only and personal use by Burbin. Inspired by AA, and dedicated to TD. LuxAlgo's Description: The Ultimate RSI indicator is a new oscillator based on the calculation of the Relative Strength Index that aims to put more emphasis on the trend, thus having a less noisy output. Opposite to the regular RSI, this oscillator is designed for a trend trading approach instead of a contrarian one. 🔶 USAGE While returning the same information as a regular RSI, the Ultimate RSI puts more emphasis on trends, and as such can reach overbought/oversold levels faster as well as staying longer within these areas. This can avoid the common issue of an RSI regularly crossing an overbought or oversold level while the trend makes new higher highs/lower lows. The Ultimate RSI crossing above the overbought level can be indicative of a strong uptrend (highlighted as a green area), while an Ultimate RSI crossing under the oversold level can be indicative of a strong downtrend (highlighted as a red area). The Ultimate RSI crossing the 50 midline can also indicate trends, with the oscillator being above indicating an uptrend, else a downtrend. Unlike a regular RSI, the Ultimate RSI will cross the midline level less often, thus generating fewer whipsaw signals. For even more timely indications users can observe the Ultimate RSI relative to its signal line. An Ultimate RSI above its signal line can indicate it is increasing, while the opposite would indicate it is decreasing. 🔹Smoothing Methods Users can return more reactive or smoother results depending on the selected smoothing method used for the calculation of the Ultimate RSI. Options include: Exponential Moving Average (EMA) Simple Moving Average (SMA) Wilder's Moving Average (RMA) Triangular Moving Average (TMA) These are ranked by the degree of reactivity of each method, with higher ones being more reactive (but less smooth). Users can also select the smoothing method used by the signal line. 🔶 DETAILS The RSI returns a normalized exponential average of price changes in the range (0, 100), which can be simply calculated as follows: ema(d) / ema(|d|) × 50 + 50 🔶 SETTINGS Length: Calculation period of the indicator Method: Smoothing method used for the calculation of the indicator. Source: Input source of the indicator 🔹Signal Line Smooth: Degree of smoothness of the signal line Method: Smoothing method used to calculation the signal line.
Pine Script® 인디케이터
DeeeeezNuts의
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.
Pine Script™ 전략
hotGnu93707의
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.
Pine Script® 인디케이터
evistatrading의
Ultimate RSI (2) TDBurbin's RSI Alerts: RSI alerts can be used ONLY when you're awaiting a chart to shift it's momentum. Example: You are waiting for a take profit signal and you'd like a push notification when this is triggered. These are NOT intended to be Buy and Sell signals. Only to get your attention. Pair with other confirmations. This is a modified version of LuxAlgo's Ultimate RSI. This is for education purposes only and personal use by Burbin. Inspired by AA, and dedicated to TD. LuxAlgo's Description: The Ultimate RSI indicator is a new oscillator based on the calculation of the Relative Strength Index that aims to put more emphasis on the trend, thus having a less noisy output. Opposite to the regular RSI, this oscillator is designed for a trend trading approach instead of a contrarian one. 🔶 USAGE While returning the same information as a regular RSI, the Ultimate RSI puts more emphasis on trends, and as such can reach overbought/oversold levels faster as well as staying longer within these areas. This can avoid the common issue of an RSI regularly crossing an overbought or oversold level while the trend makes new higher highs/lower lows. The Ultimate RSI crossing above the overbought level can be indicative of a strong uptrend (highlighted as a green area), while an Ultimate RSI crossing under the oversold level can be indicative of a strong downtrend (highlighted as a red area). The Ultimate RSI crossing the 50 midline can also indicate trends, with the oscillator being above indicating an uptrend, else a downtrend. Unlike a regular RSI, the Ultimate RSI will cross the midline level less often, thus generating fewer whipsaw signals. For even more timely indications users can observe the Ultimate RSI relative to its signal line. An Ultimate RSI above its signal line can indicate it is increasing, while the opposite would indicate it is decreasing. 🔹Smoothing Methods Users can return more reactive or smoother results depending on the selected smoothing method used for the calculation of the Ultimate RSI. Options include: Exponential Moving Average (EMA) Simple Moving Average (SMA) Wilder's Moving Average (RMA) Triangular Moving Average (TMA) These are ranked by the degree of reactivity of each method, with higher ones being more reactive (but less smooth). Users can also select the smoothing method used by the signal line. 🔶 DETAILS The RSI returns a normalized exponential average of price changes in the range (0, 100), which can be simply calculated as follows: ema(d) / ema(|d|) × 50 + 50 🔶 SETTINGS Length: Calculation period of the indicator Method: Smoothing method used for the calculation of the indicator. Source: Input source of the indicator 🔹Signal Line Smooth: Degree of smoothness of the signal line Method: Smoothing method used to calculation the signal line.
Pine Script® 인디케이터
DeeeeezNuts의