DEFECT WARRIORPrecise DEFECT candle detection with visual arrows and labels
Zone context: Demand/Supply (DM/SP) + FVG proximity filter
Optional Fib clustering at 0.617 / 0.500 / 0.242 for refined entries
HTF bias (H4/D1/H12) to reduce counter-trend noise
Clear alerts for BUY/SELL, zone touch, and Fib confirmations
Lightweight, readable visuals for fast decision-making
How to use
Choose your signal timeframe (e.g., M30/H1).
Enable HTF bias (e.g., D1 or H4) to keep setups in trend.
Look for DEFECT signals inside/near zones and at Fib levels.
Plan SL beyond the nearest wick/zone; manage TP with your risk model.
Good for swing and intraday traders who want rule-based entries with zone + Fib confluence and minimal chart clutter
Analisis Trend
CCT Average True RangeCCT Ignition Candle Detector
The CCT Ignition Candle Detector indicator was developed to assist traders in identifying “ignition candles” — candles that represent potential high-volatility breakout events accompanied by strong volume and a clear directional move relative to short-term trend averages.
Concept and Functionality
This indicator measures the relationship between the candle’s amplitude (difference between high and low) and the Average True Range (ATR).
The ratio between these two values provides insight into whether the current candle exhibits volatility that is statistically significant compared to its recent history.
Additionally, the indicator evaluates body strength, volume behavior, and proximity to the EMA8 (a short-term dynamic average often used to gauge immediate momentum).
When specific quantitative criteria are met, the indicator identifies the candle as a potential Ignition Candle, meaning it could mark the start of a new impulse move.
Ignition Criteria:
A candle is considered an Ignition Candle when all of the following conditions are satisfied:
Amplitude ≥ 3× ATR
Candle body ≥ 2.5% (difference between open and close relative to open)
Volume ≥ 1.3× SMA14 (volume)
Breakout of the EMA8 in the direction of the move (bullish or bearish)
When these factors align, the indicator marks the corresponding candle with a label and displays an orange highlight in the information panel.
This visual cue helps the trader immediately identify points of high energy or breakout potential in the chart.
Readings and Visual Elements
Yellow line: Candle amplitude (High–Low)
Red line: True Range (ATR)
White line: Moving average of ATR
Info panel: Displays amplitude, ATR value, volume comparison, EMA8 relation, and ignition status.
label on chart: Appears when an ignition candle is detected.
The indicator does not generate trading signals, but provides quantitative context for decision-making.
Practical Usage
Traders may use this indicator to:
Identify potential breakout zones after periods of contraction.
Confirm whether a strong candle represents true momentum or a false breakout.
Combine ignition readings with trend filters (such as higher timeframe EMA or price structure).
Evaluate the strength of reversals or continuation moves.
A common practical approach is to enter in the direction of the ignition candle once it closes,
place a protective stop below or above the candle’s body, and target 1.5–2× the initial risk.
This approach leverages volatility expansion in its early stage.
Recommended Settings:
ATR Length: 14 (default)
EMA Period: 8
Volume MA: 14
Timeframes: Works well in intraday and daily charts.
Notes:
This tool is designed as a volatility and momentum analyzer, not a buy/sell system.
It should be used together with broader market context, price structure, and volume confirmation.
It aims to standardize the interpretation of large candles, allowing the trader to objectively identify when volatility expansion is statistically relevant.
Credits:
Developed by Central CryptoTraders © 2025
Alarm Pack (MA14/21 - MACD - CU-RSI - Pivot PP) - SigmorAlgoA clean alarm/confirmation pack by SigmorAlgo.
4 MAs (14/21/50/100) with selectable type (EMA/SMA/SMMA), CU-RSI (22/66) crosses, MACD confirmations, and optional Daily Pivot PP.
Built for clarity: trend filter (MA50/MA100), real-time alerts, and minimal visuals.
Suggested RSI preset: Fast 22, Slow 66 (balanced). For faster signals try 14/42; for slower 28/84.
Dual RSI TL (AI Trend Mapper) - SigmorAlgoDual RSI TL (AI Trend Mapper) — an intelligent momentum and trendline mapping system built to give traders clarity, structure, and precision.
It merges a dual-layer RSI framework (fast & slow) with automatic RSI trendlines to identify strength, exhaustion, and reversals in real time.
⚙️ Main Features:
• Dual RSI system (fast & slow) with fully adjustable lengths
• Automatic RSI trendline mapping (AI-driven slope detection)
• Real-time crossover and confirmation alerts
• Clean visual markers for entry & exit points
• Compatible with EMA, SMA, and Pivot-based systems
💡 Recommended Settings:
• Default: Fast = 25, Slow = 75 (1:3 ratio) — ideal balance for 15m–1D traders
• Faster reaction: 12/36 or 14/42
• Slower/long-term: 28/84 or 30/90
Whether you trade scalps, intraday setups, or daily swings, Dual RSI TL adapts dynamically to price behavior — giving you a visual edge without noise.
Created by SigmorAlgo — for traders who value clarity over clutter.
kNN Trend Classifier (RSI, CCI, W%R, ADX, EMA)This Pine Script indicator, "kNN Trend Classifier," is a specialized tool for identifying market trends using a combination of classic technical indicators and a simple machine learning approach. The script is designed for traders who want to blend quantitative analysis with visual chart signals to improve decision-making.
At its core, the indicator utilizes six key features: RSI (14), RSI (9), CCI, Williams %R, ADX, and 9-period EMA. Each of these measures different dimensions of momentum, trend strength, and market positioning. These values are normalized to ensure they are fairly compared across different market conditions. For every bar close, the script stores a historical snapshot of these features and uses a k-Nearest Neighbor (kNN) technique to classify the current trend as bullish or bearish. The kNN algorithm works by calculating the Euclidean distance between the present market state and all stored historical states, then referencing the majority label among the closest neighbors to decide on the market regime.
The script also provides powerful customization. Users can adjust the number of neighbors (k) to make signals more reactive or more stable; increase the training window for a deeper historical perspective; and fine-tune the lookback window for feature normalization. Two optional filters—based on volume percentile and ATR volatility—help to screen out signals in low-liquidity or low-volatility periods, reducing false positives and improving reliability.
To modify the behavior, traders should experiment with the inputs: lower k for faster signal changes, raise k or the training window for smoother signals, and adjust normalization length for different levels of trend sensitivity. Activating the volume and volatility filters is highly recommended during choppy markets. Altogether, this script gives users a robust framework to catch bullish or bearish trends with a blend of proven technical analysis and adaptive pattern recognition.
Michal D. Lagless Moving Average | MisinkoMasterThe 𝕸𝖎𝖈𝖍𝖆𝖑 𝕯. 𝕷𝖆𝖌𝖑𝖊𝖘𝖘 𝕸𝖔𝖛𝖎𝖓𝖌 𝕬𝖛𝖊𝖗𝖆𝖌𝖊 is my latest creation of a trend following tool, which is a bit different from the rest. By trying to de-lag the classical moving average, it gives you fast signals on changes in trend as fast as possible, keeping traders & investors always in check for potential risks they might want to avoid.
How does it work?
First we need to calculate lengths. The lengths are calcuted using a user defined input called the "Length Multiplier" and we of course need as well the length input too.
The indicator uses 10 lengths, 5 for an average price, 5 for median price.
The length for the average is the following:
length_2_avg = length_1_avg * length_multiplier
length_3_avg = length_2_avg * length_multiplier
...
and for the median lengths:
length_1_median = length_2_avg
length_2_median = length_3_avg
Here applies this rule
length_x_median < length_x_avg
This is intentional, and it is because the average is a little more reactive, while the median is a bit slower. To make up for the "slowness" of the median, we simple reduce the length of it a bit more than the average.
Now that we have our length we are ready to calculate averages and medians over their respective period. This is the a normal average from elementary school, nothing too fancy.
Now that we have all of them we match the pairs using another user defined input called "Median Weight" like so:
(Average_x * (2-median_weight) + Median_x * median_weight)/2
This gives more weight to the average (also due to the max value limit set to avoid breaking the fundational logic behind it).
After doing it to all the pairs we now average those pairs using another input called "Exponential Weight Multiplier".
The Exponential Weight Multiplier is used for weights which I will cover soon:
weight1 = weight
weight2 = weight * weight
weight3 = weight * weight * weight....
This is done until we have all the weights calculated
This gives exponentially more weight to the less lagging indicators, which is how we delag the indicator.
Then we sum all the pairs like so:
sum = pair1 * weight1 + pair2 * weight2 + pair3 * weight3 + pair4 * weight4 + pair5 * weight5
Then the sum is divided by the sum of weights, this results in us getting the final value.
Methodology & What is the actual point & how was it made?
I want to cover this one a bit deeper:
The methodology behind this was creating an indicator that would not be lagging, and would be able to avoid lag while not producing signals too often.
In many attempts in the first part, I tried using EMA, RMA, DEMA, TEMA, HMA, SMA and so on, but they were too noisy (except for SMA & RMA, but those had their flaws), so I tried the classical average taught in elementary school. This one worked better, but the noise was too high still after all this time. This made me include the median, which helped the noise, but made it far too lagging.
Here came the idea of making the median length lower and adding weights to counter the lag of the median, but it was still too lagging. This made me make the weights for lengths more exponential, while previously they were calculated using a little bit amplified sums that were alright, but nowhere near my desired result.
Using the new weights I got further, and after a bit of testing I was sattisfied with the results.
The logic for the trend was a big part in my development part, there were many I could think of, but not enough time to try them, so I stuck to the usual one, and I leave it up to YOU to beat my trend logic and get even better results.
Use Cases:
- Price/MA Crossovers
Simple, effective, useful
- Source for other indicators
This I tried myself, and it worked in a cool way, making the signals of for example RSI much smoother, so definitely try it out if you know how to code, or just simply put it in the source of the RSI.
- ROC
This trend logic stuck with me, I think you could find a way to make it good, but mainly for the people that can code in pine, trying out to combine the trend logic with ROC could work very well, do not sleep on it!
- Education
This concept is not really that complex, so for people looking for new ideas, inspiration, or just watching how trend following tools behave in general this is something that could benefit anyone, as the concept can be applied to ANYTHING, even the classical RSI, MACD, you could try even the Parabolic SAR, maybe STC or VZO, there is no limit to imagination.
- Strategy creation
Filtering this indicator with "and" conditions, or maybe even "or" or anything really could be very useful in a strategy that desires fast signals.
- Price Distance from bands
I noticed this while looking at past performance:
The stronger the trend the higher the distance from the Moving Average.
Final Notes
Watch out for mean reverting markets, as this is trend following you could get easily screwed in them.
Play around with this if it fits your desired outcome, you might find something I did not.
Hope you find it useful,
See you next time!
Adaptive Trend Breaks Adaptive Trend Breaks
## WHAT IT DOES
This script is a modified and enhanced version of "Trendline Breakouts With Targets" concept by ChartPrime.
Adaptive Trend Breaks (ATB) is a trendline breakout system optimized for scalping liquid futures contracts. The indicator automatically draws dynamic support and resistance trendlines based on pivot points, then generates trade signals when price breaks through these levels with confirmation filters. It includes automated target and stop-loss placement with real-time P&L tracking in dollars.
## HOW IT WORKS
**Trendline Detection Method:**
The indicator uses pivot high/low detection to identify significant price turning points. When a new pivot forms, it calculates the slope between consecutive pivots to draw dynamic trendlines. These lines extend forward based on the established trend angle, creating actionable support and resistance zones.
**Band System:**
Around each trendline, the script creates a "band" using a volatility-adjusted calculation: `ATR(14) * 0.2 * bandwidth multiplier / 2`. This adaptive band accounts for current market conditions - wider during volatile periods, tighter during quiet markets.
**Breakout Logic:**
A breakout signal triggers when:
1. Price closes beyond the trendline + band zone
2. Volume exceeds the 20-period moving average by your set multiplier (default 1.2x)
3. Price is within Regular Trading Hours (9:30-16:00 EST) if session filter enabled
4. Current ATR meets minimum volatility threshold (prevents trading dead markets)
**Target & Stop Calculation:**
Upon breakout confirmation:
- **Entry**: Trendline breach point
- **Target**: Entry ± (bandwidth × target multiplier) - default 8x for quick scalps
- **Stop**: Entry ± (bandwidth × stop multiplier) - default 8x for 1:1 risk/reward
- Multipliers adjust automatically to market volatility through the ATR-based band
**P&L Conversion:**
The script converts point movements to dollars using:
```
Dollar P&L = (Price Points × Contract Point Value × Quantity)
```
For example, a 10-point NQ move with 2 contracts = 10 × $20 × 2 = $400
## HOW TO USE IT
**Setup:**
1. Select your instrument (NQ/ES/YM/RTY) - point values auto-configure
2. Set contract quantity for accurate dollar P&L
3. Choose pivot period (lower = more signals but more noise, default 5 for scalping)
4. Adjust bandwidth multiplier if trendlines are too tight/loose (1-5 range)
**Filters Configuration:**
- **Volume Filter**: Requires breakout volume > moving average × multiplier. Increase multiplier (1.5-2.0) for higher conviction trades
- **Session Filter**: Enable to trade only RTH. Disable for 24-hour trading
- **ATR Filter**: Prevents signals during low volatility. Increase minimum % for more active markets only
**Risk Management:**
- Set target/stop multipliers based on your risk tolerance
- 8x bandwidth = approximately 1:1 risk/reward for most liquid futures
- Enable trailing stops for trend-following approach (moves stop to protect profits)
- Adjust line length to see targets further into the future
**Statistics Table:**
- Choose timeframe to analyze: all-time, today, this week, custom days
- Monitor win rate, profit factor, and net P&L in dollars
- Track long vs short performance separately
- See real-time unrealized P&L on active trades
**Reading Signals:**
- **Green triangle below bar** = Long breakout (resistance broken)
- **Red triangle above bar** = Short breakout (support broken)
- **White dashed line** = Entry price
- **Orange line** = Take profit target with dollar value
- **Red line** = Stop loss with dollar value
- **Green checkmark (✓)** = Target hit, winning trade
- **Red X (✗)** = Stop hit, losing trade
## WHAT IT DOES NOT DO
**Limitations to Understand:**
- Does not predict future trendline formations - it reacts to breakouts after they occur
- Historical trendlines disappear after breakout (not kept on chart for clarity)
- Requires sufficient volatility - may not signal in extremely quiet markets
- Volume filter requires exchange volume data (not available on all symbols)
- Statistics are indicator-based simulations, not actual trading results
- Does not account for slippage, commissions, or order fills
## BEST PRACTICES
**Recommended Settings by Market:**
- **NQ (Nasdaq)**: Default settings work well, consider volume multiplier 1.3-1.5
- **ES (S&P 500)**: Slightly slower, try period 7-8, volume 1.2
- **YM (Dow)**: Lower volatility, reduce bandwidth to 1.5-2
- **RTY (Russell)**: Higher volatility, increase bandwidth to 3-4
**Risk Management:**
- Never risk more than 2-3% of account per trade
- Use contract quantity calculator: Max Risk $ ÷ (Stop Distance × Point Value)
- Start with 1 contract while learning the system
- Backtest your specific timeframe and instrument before live trading
**Optimization Tips:**
- Increase pivot period (7-10) for fewer but higher-quality signals
- Raise volume multiplier (1.5-2.0) in choppy markets
- Lower target/stop multipliers (5-6x) for tighter profit taking
- Use trailing stops in strong trending conditions
- Disable session filter for overnight gaps and Asia session moves
## TECHNICAL DETAILS
**Key Calculations:**
- Pivot Detection: `ta.pivothigh(high, period, period/2)` and `ta.pivotlow(low, period, period/2)`
- Slope Calculation: `(newPivot - oldPivot) / (newTime - oldTime)`
- Adaptive Band: `min(ATR(14) * 0.2, close * 0.002) * multiplier / 2`
- Breakout Confirmation: Price crosses trendline + 10% of band threshold
**Data Requirements:**
- Minimum bars in view: 500 for proper pivot calculation
- Volume data required for volume filter accuracy
- Intraday timeframes recommended (1min - 15min) for scalping
- Works on any timeframe but optimized for fast execution
**Performance Metrics:**
All statistics calculate based on indicator signals:
- Tracks every signal as a trade from entry to TP/SL
- P&L in actual contract dollar values
- Win rate = (Winning trades / Total trades) × 100
- Profit factor = Gross profit / Gross loss
- Separates long/short performance for bias analysis
## IDEAL FOR
- Futures scalpers and day traders
- Traders who prefer visual trendline breakouts
- Those wanting automated TP/SL placement
- Traders tracking performance in dollar terms
- Multiple timeframe analysis (compare 1min vs 5min signals)
## NOT SUITABLE FOR
- Swing trading (targets too close)
- Stocks/forex without modifying point values
- Extremely low timeframes (<30 seconds) - too much noise
- Markets without volume data if using volume filter
- Illiquid contracts (signals may not execute at shown prices)
---
**Settings Summary:**
- Core: Period, bandwidth, extension, trendline style
- Filters: Volume, RTH session, ATR volatility
- Risk: R:R ratio, target/stop multipliers, trailing stop
- Display: Stats table position, size, colors
- Stats: Timeframe selection (all-time to custom days)
**License:** This indicator is published open-source under Mozilla Public License 2.0. You may use and modify the code with proper attribution.
**Disclaimer:** This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and test thoroughly before live trading.
---
## CREDITS & ATTRIBUTION
This script builds upon the "Trendline Breakouts With Targets" concept by ChartPrime with significant enhancements:
**Major Improvements Added:**
- **Futures-Specific Calculations**: Automated dollar P&L conversion using actual contract point values (NQ=$20, ES=$50, YM=$5, RTY=$50)
- **Advanced Statistics Engine**: Comprehensive performance tracking with customizable timeframe analysis (today, week, month, custom ranges)
- **Multi-Layer Filtering System**: Volume confirmation, RTH session filter, and ATR volatility filter to reduce false signals
- **Professional Trade Management**: Enhanced visual trade tracking with separate TP/SL lines, dollar value labels, and optional trailing stops
- **Optimized for Scalping**: Faster pivot periods (5 vs 10), tighter bands, and reduced extension bars for quick entries
Original trendline detection methodology by ChartPrime - used with modification under Mozilla Public License 2.0.
BBB INDICATOR - London Breakout BBB Indicator — London Breakout
The indicator highlights potential London session breakouts derived from the Asian session range.
How it works (high level):
• Draws the Asian session box (03:00–10:00 UTC+3).
• After London opens (11:00 UTC+3), a breakout is valid when the candle’s body exceeds user-defined thresholds (body% of bar, buffer vs Asia range, optional body ≥ k × ATR).
• Once valid, it plots Entry at the breakout close, SL based on the selected method, and TP using a fixed R:R (default 1:1.5).
Intended use: XAUUSD / 15m (testable elsewhere).
Important: Use on standard candlestick charts only. Non-standard chart types (Heikin Ashi, Renko, Kagi, Point & Figure, Range) are not supported and may produce unrealistic results.
Inputs overview: Asia session hours, London open, body% threshold, Asia-range buffer %, optional ATR multiple, and R:R.
Notes: Educational tool to assist analysis; not financial advice. No external links or solicitations.
Current & Previous-Day VWAPThe “Current & Previous‑Day VWAP” indicator plots two important volume‑weighted price references on intraday charts:
Current Session VWAP (solid line): The VWAP is the volume‑weighted average price of the current trading session. TradingView’s built‑in ta.vwap() function automatically resets its calculation at the start of each new intraday session
offline-pixel.github.io
, so the line accurately follows today’s price action. You can set the color of this line via the indicator’s input (defaults to blue).
Previous‑Day VWAP (dotted lines): At the final bar of each session, the indicator stores the current session’s VWAP value. On the first bar of the following session, it draws a horizontal dotted line at that stored value and extends it across the entire day. This uses TradingView’s session detection functions—session.islastbar to capture the closing VWAP and session.isfirstbar to start the new line
tradingview.com
. An array holds each line and its y‑value so that multiple previous‑day VWAPs remain visible for comparison. The color of these dotted lines is also user‑configurable.
This design lets you see both where the current price is relative to today’s VWAP and how it stands against the closing VWAP levels of previous sessions, all at a glance.
Ekoparaloji Trend CandlesEkoparaloji Trend Following Candles
🎯 What Does It Do?
This indicator is a candle coloring system that helps you easily identify trend direction. Complex calculations run in the background, and you simply follow the candle colors to understand trend strength.
🎨 How to Use
Read the Candle Colors:
🟢 GREEN CANDLES → Strong uptrend
Look for buying opportunities
Hold your long positions
🔴 RED CANDLES → Strong downtrend
Look for selling opportunities
Consider short positions
Color changes → Potential trend reversal signal
Review your positions
📈 Important: The White Line
The line on the chart is a dynamic support/resistance level:
Price above the line → Bullish zone
Price below the line → Bearish zone
⚙️ Customize Settings
You can adjust 4 parameters in the indicator settings:
Faster signals → Decrease periods (e.g., 20)
Smoother signals → Increase periods (e.g., 50)
Tip: Start with default settings, then optimize for your trading style.
💡 Strategy Tips
✅ Green to red transition → Take profit or exit signal
✅ Red to green transition → Look for entry opportunities
✅ Confirm with other indicators (RSI, MACD, volume, etc.)
✅ Always use stop-loss orders
⚠️ Warning!
No indicator is 100% accurate
Don't trade based solely on this indicator
Risk management should always be your priority
For educational purposes only, not financial advice
Happy trading! 📊
Gold RCI Signalトレンド転換点をRCI×CCI×ボラティリティで検出するロング専用インジケーター。ゴールド(XAUUSD)対応。
A long-only indicator that detects trend reversal points using a combination of RCI, CCI, and volatility. Optimized for Gold (XAUUSD).
#RCI #CCI #volatility #trendreversal #gold #XAUUSD #indicator
Weekly Breakout Screenermencari harga saham yang kuat breakout harga mingguan. potensi swing trading
Support and Resistance [Jamshid]📌 Support & Resistance
This indicator automatically identifies high-quality Support and Resistance zones using volume-weighted pivot levels. It visualizes price structure with adaptive volume boxes, breakout & retest signals, higher timeframe confirmation, and optional volume profile.
✅ Core Features
🔹 1. Smart Support & Resistance Zones (Volume-Based)
Detects pivot highs/lows with strong volume.
Boxes expand dynamically using ATR.
Zones display actual volume value.
Color intensity reflects volume strength.
🔹 2. Breakouts & Retests
“Break Sup / Break Res” labels on structure breaks.
Detects when old resistance becomes support (R→S).
Detects when old support becomes resistance (S→R).
Retest labels and diamond markers for holds.
🔹 3. Volume Profile (Optional)
Shows mini horizontal volume bars at each zone.
Separate bullish/bearish volume distribution.
Adjustable rows and lookback.
🔹 4. Higher Timeframe Confluence (Optional)
Check if current S/R aligns with HTF levels:
5m, 15m, 30m, 1H, 4H, Daily
Modes:
✅ Show All + HTF Labels
✅ Filter Only HTF Confirmed Levels
HTF confirmations shown directly on zone labels.
Tolerance setting for price matching.
🔹 5. Breaker Blocks (Failed S/R Reversal Zones)
Identifies bullish/bearish breaker zones.
Highlights breaker blocks on chart.
Optional labels and zone coloring.
🎯 Visual Alerts & Signals
✅ Breakouts (Support & Resistance)
✅ Retests (Hold without breakout)
✅ Role Reversal (R→S and S→R)
✅ Potential Bullish / Bearish Breakers
✅ Diamonds for hold/retest structure
✅ Labels with volume + timeframe confirmations
Every signal also has a built-in alertcondition so you can automate notifications.
⚙️ Customizable Settings
🟢 Main
Lookback period
Volume filter length
Box width multiplier
🎨 Visual
Show or hide labels, diamonds, retest labels
Label size
🟦 Breaker Blocks
Enable/disable breaker blocks
Show zones & labels
Custom colors
📊 Volume Profile
Enable/disable
Rows, lookback length
Bull/Bear color
⏳ Higher Timeframe Filtering
Turn HTF logic on/off
Select which timeframes to compare
Filter mode or label mode
Price matching tolerance (%)
✅ Why this indicator is unique
✔ Combines price structure + volume + HTF confluence
✔ Automatically adapts S/R strength using volume data
✔ Shows role reversal and breaker logic
✔ Smart visual alerts & automation support
✔ Highly customizable for any strategy or timeframe
💡 How to Use
Add the indicator to any chart or timeframe.
Look for high-volume S/R zones (darker colors = stronger).
Watch for:
Breakouts (trend continuation or reversal)
Retests (strong confirmations)
HTF confluence (higher probability)
Breaker blocks (failed level reversal)
Optionally enable alerts for automation or notifications.
******************************************************************
⚠️ Dangers of Trading
1️⃣ You can lose money very fast
Markets move quickly, and leverage makes losses even faster. Even experienced traders go through drawdowns.
2️⃣ Emotional decisions ruin accounts
Fear (selling too early) and greed (holding too long or overtrading) cause most losses. Trading is more psychological than technical.
3️⃣ Overconfidence after small wins
Many traders win at the beginning and believe they “mastered” the market, then take big risks and blow the account.
4️⃣ No system = gambling
If you trade without clear rules and risk management, you’re not trading—you’re gambling.
5️⃣ Market is not fair
Smart money, institutions, HFT algorithms, and stop-hunts exist. Retail traders are often the liquidity for bigger players.
6️⃣ News/Unexpected events
Unpredictable events (CPI, FOMC, war, tweets, etc.) can instantly move the market against your position.
✅ Advice for Safer & Smarter Trading
✅ 1. Protect your capital first
Your number one job is to survive.
Never risk more than 1–2% per trade.
✅ 2. Have a written trading plan
Define:
When to enter
When to exit
How much to risk
What conditions must be present
If your plan is not written, you don’t have a plan.
✅ 3. Use Stop Loss always
No stop loss = account suicide.
Even professional traders are wrong sometimes.
✅ 4. Focus on one strategy (mastery > trying everything)
Jumping from one strategy to another causes confusion. One good strategy with discipline beats five strategies with no consistency.
✅ 5. Trade with the trend and higher timeframe direction
Trading against HTF structure is fighting the market.
✅ 6. Control emotions like a machine
Biggest trader enemies:
Overtrading
Revenge trading
Fear of missing out (FOMO)
When emotions are strong → stop trading.
✅ 7. Be patient (best skill of a trader)
Sometimes the best trade is no trade.
Professional traders wait for high-probability setups.
✅ 8. Backtest and demo before using real money
If it doesn’t make money in backtesting or demo, it won’t magically work live.
✅ 9. Accept losses (they are part of the game)
Even the best traders lose. The key is small losses, big wins.
✅ 10. Keep learning forever
Market changes. What works today may not work tomorrow. Study price action, volume, psychology, risk management.
🧠 Final Truths:
✅ Trading is a business, not easy money
✅ Winning rate doesn’t matter—risk/reward matters
✅ Consistency > luck
✅ Discipline > knowledge
✅ Survival > profit
VWAP HMA Trend Execution SystemVWAP Trend Execution System
🧭 Purpose
Most traders don’t fail from bad charts — they fail from bad timing.
Jumping in too early, bailing too soon, or freezing when the real move begins.
The VWAP Trend Execution System cuts through that chaos.
It visually syncs Trend, VWAP, and Confidence — giving you instant clarity to trade with calm precision.
⚙️ The Three Core Gauges:
1. 📈 Trend Green for up, Red for down (Trend: Confirms direction)
2. 💰 VWAP Price vs. Volume Weighted Average Price. Institutional Fair Value. (Bull or Bear)
3. 🎯 Confidence Agreement between trend & VWAP. Dont fight the trend.
Bonus Feature: Confidence Turns 🟢 Confident when aligned, 🟡 Cautious when mixed.
Bonus 2: This version has the cross / confirmed direction arrow in the table.
Together, these create a clean, visual readout of the market’s health.
🧩 How to Use
Watch the Color Flow:
🟢 Green Cloud → Buyers in control.
🔴 Red Cloud → Sellers in control.
Check VWAP (Orange Line):
Price above VWAP → bullish strength.
Price below VWAP → bearish control.
Hovering at VWAP → indecision. Wait.
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Act With Discipline:
Trade only when all gauges agree.
Add size only in Confident conditions.
Trim or tighten stops when it shifts to Cautious.
⚡ Quick Reference:
🟢 Green cloud + above VWAP + Confident | Uptrend continuation | Favor long bias
🔴 Red cloud + below VWAP + Confident | Downtrend continuation | Favor short bias
Mixed colors or Cautious: Wait or scale back
Cloud flips color: Possible shift. Reassess bias next bar
🧠 Best Practices
Works best on liquid symbols (SPY, QQQ, BTC, GOLD).
Ideal timeframes: 5m to 1h.
Use at bar close for confirmation, but enjoy live responsiveness for awareness.
Combine with your existing risk management — VTES is a timing enhancer, not a signal generator.
Designed for clarity on both light and dark themes (optimized for dark).
💡 Mindset
This isn’t a prediction tool — it’s a discipline tool. Wait for agreement.
Execute when the picture is clear. Protect capital when it’s not.
🧘 Clarity over clutter. Timing over guessing.
⚖️ Disclaimer: Educational and informational use only. Not financial advice. Always use independent judgment and position sizing.
VWAP HMA Trends
It visually syncs Trend, VWAP, and Confidence — giving you instant clarity to trade with calm precision.
⚙️ The Three Core Gauges:
1. 📈 Trend Green for up, Red for down (Trend: Confirms direction)
2. 💰 VWAP Price vs. Volume Weighted Average Price. Institutional Fair Value. (Bull or Bear)
3. 🎯 Confidence Agreement between trend & VWAP. Dont fight the trend.
Bonus Feature: Confidence Turns 🟢 Confident when aligned, 🟡 Cautious when mixed.
Together, these create a clean, visual readout of the market’s health.
🧩 How to Use
Watch the Color Flow:
🟢 Green Cloud → Buyers in control.
🔴 Red Cloud → Sellers in control.
Check VWAP (Orange Line):
Price above VWAP → bullish strength.
Price below VWAP → bearish control.
Hovering at VWAP → indecision. Wait.
---
Act With Discipline:
Trade only when all gauges agree.
Add size only in Confident conditions.
Trim or tighten stops when it shifts to Cautious.
⚡ Quick Reference:
🟢 Green cloud + above VWAP + Confident | Uptrend continuation | Favor long bias
🔴 Red cloud + below VWAP + Confident | Downtrend continuation | Favor short bias
Mixed colors or Cautious: Wait or scale back
Cloud flips color: Possible shift. Reassess bias next bar
⚖️ Disclaimer: Educational and informational use only. Not financial advice. Always use independent judgment and position sizing.
Smart Money Concepts with Multi-Timeframe AnalysisSCRIPT PURPOSE:
This indicator combines multiple analytical approaches to identify smart money activity
and market structure changes across different timeframes.
KEY COMPONENTS AND THEIR SYNERGY:
1. SMART MONEY CONCEPTS:
- Identifies market structure breaks (BOS) and change of character (CHoCH)
- Detects order blocks where institutional traders likely entered positions
- Maps fair value gaps (FVG) for potential price inefficiencies
2. FIBONACCI STRUCTURE ANALYSIS:
- Applies custom Fibonacci levels to current market structure
- Provides specific trading levels (SL, TP1-5, Entry zones)
- Helps identify potential reversal and continuation zones
3. HALFTREND MOMENTUM:
- Uses ATR-based trend detection with channel visualization
- Provides clear buy/sell signals with trend confirmation
- Works as a filter for smart money signals
4. MULTI-TIMEFRAME DASHBOARD:
- Shows trend alignment across 10 different timeframes
- Helps identify confluence for higher probability setups
HOW COMPONENTS WORK TOGETHER:
- Smart Money concepts identify WHERE institutions are active
- Fibonacci levels determine KEY PRICE ZONES for entries/exits
- HalfTrend confirms the CURRENT TREND DIRECTION
- Multi-timeframe analysis ensures ALIGNMENT across time horizons
CREDITS:
- Drawing utilities: LudoGH68/Drawings_public/1
- Smart Money Concepts methodology
- Fibonacci price analysis techniques
- HalfTrend algorithm for trend detection
WOW Intraday Tracker by Dev🎯 WOW Intraday Tracker: Professional Trade Execution & R/R Analysis
The WOW Intraday Tracker (V1.30 Final) is an advanced, invite-only tool built for disciplined intraday trading. It transforms market signals into a fully managed trade, providing both real-time execution confidence and objective performance review.
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✨ Core Execution Features
The Tracker automates the most critical aspects of trade management:
Automatic Entry Trigger: The script uses a proprietary multi-factor scoring system to identify high-probability setups. Once a trade signal is validated and its Score meets the Activation Threshold (which is visible in the Running Trade Table), the entry order (Long or Short) is automatically triggered and monitored.
Trade Grade Qualification: Crucially, every setup is assigned a Trade Grade (A+, A, or B) before entry, based on structural confluence, allowing traders to qualify the setup quality instantly.
Initial SL & Multiple Targets (TGTs): All trades are established with risk-defined parameters from the start.
Initial Stop-Loss (SL): Automatically calculated based on user-defined ATR Multiples to align risk with current volatility.
Multiple Take-Targets (TGTs): Two distinct target levels (TGT1 and TGT2) are set based on user-defined R-Multiples (Risk-to-Reward ratios) to facilitate a partial profit-taking strategy.
Dynamic Trailing & Stop Adjustment: As the trade progresses, the script automatically manages risk, adjusting the stop-loss upon TGT hits to lock in profit.
Signal Cancellation Feature: To protect capital, the script actively monitors the signal's health. If the internal trade score drops below the configurable Cancellation Threshold before entry, the pending order is automatically invalidated and cleared.
⚖️ Trade Exit and Weighted R/R Assumptions
The script's primary function is to track and calculate a Weighted Risk-to-Reward (R/R) based on a predetermined exit plan:
Target 1 (T1): 30% of the original position. Stop is adjusted to protect profits.
Target 2 (T2): Another 30% of the original position. Trailing Stop begins based on a volatility factor.
Final Exit: Rest 40% of the original position. Exited when the Trailing Stop is hit.
Important Note: The Trailing Stop is tracked on a closing basis within the script. While you can choose to exit the trade manually on a hit basis or book profits based on your personal judgment, the script's final Weighted R/R calculation is based on the assumption that the position exits as detailed above.
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📊 Global R/R Tracker Table (Performance by Grade)
This powerful feature provides objective, actionable data for trade review. It continuously tallies your performance, broken down by the quality (Grade) of the trade setup.
The table tracks performance for A+, A, and B grade setups, plus a TOTAL row, based on your chosen lookback (Full History or Day Start)
By separating performance by Grade, you gain a clear, evidence-based understanding of which setups truly deserve your capital and focus.
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🎨 Advanced Customization & Styling
The WOW Intraday Tracker offers extensive control over the look and feel of your workspace to ensure maximum clarity and minimal chart clutter.
Table Positioning: Freely select the on-chart location (Top Right, Bottom Left, etc.) for all three tables.
Theming: Customize the background and text colors for all tables, including the dynamic green/red backgrounds of the Global R/R Tracker.
Plot Lines: Full color control over all plotted trade lines: PDH/PDL, Entry Price, Initial Stop, Trailing Stop, and Targets.
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⏱️ Usage & Recommended Timeframes
The WOW Intraday Tracker is primarily designed and optimized for high-frequency, short-term intraday trading.
Recommended Timeframes: For optimal performance, we recommend using the script on lower-to-mid-range intraday timeframes: 5-minute, 15-minute, and 25 (or 30) minutes.
Intended Use: While the script can be applied to higher timeframes, its main purpose is to capture volatility and quick moves within the trading day.
Swing Trading: In rare instances, the tracker may generate signals suitable for a short-term swing trade (1-2 days), but this is secondary to its core intraday function.
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🔑 Access Note
The WOW Intraday Tracker utilizes proprietary logic within its scoring system and is published as an invite-only script. The source code is protected to maintain the integrity and value of the intellectual property.
To inquire about access, please contact the author directly via TradingView Private Message on this profile.
Daily Vertical LineThis indicator draws vertical lines at a specific time each day, helping you visualize important intraday levels or session opens/closes.
Features:
Customizable time in EST timezone (hour and minute inputs)
Adjustable line color, width, and style (solid, dashed, or dotted)
Automatically draws lines for all historical days
Projects one line into the future for the next occurrence
Works on all intraday timeframes. Future line appears as semi-transparent and dashed to distinguish from historical data.
EMA Ribbon Reversal + Retest Signal🧩 1. Core Concept
This indicator combines EMA ribbon trend detection, reversal identification, and EMA144/233 retest confirmation to capture structured market transitions.
It’s designed to:
Detect trend changes when all EMAs align.
Confirm entry zones when price retests major EMAs (144, 233).
Avoid false signals through compression, volume, and body strength filters.
🧠 2. How to Read the Indicator on Chart
🟢 BUY Sequence (Bullish Scenario)
Reversal Detected → Candle closes above all EMAs (label: “BUY”).
Retest Phase → Price pulls back to EMA144 or EMA233 but stays above (label: “Retest BUY Strong/Weak”).
Confirmation → A bullish candle forms with strong volume — continuation likely.
Trend continues upward until opposite “SELL Reversal” occurs.
🔴 SELL Sequence (Bearish Scenario)
Reversal Detected → Candle closes below all EMAs (label: “SELL”).
Retest Phase → Price retests EMA144/233 from below but fails to break up (label: “Retest SELL Strong/Weak”).
Confirmation → Bearish candle + strong volume — continuation likely.
Downtrend continues until new “BUY Reversal” appears.
📈 3. How to Use in Real Trading
Step 1 — Identify Market Context
Use higher timeframe (e.g., 1H or 4H) to confirm main trend via EMA144 & 233.
Avoid entries during flat EMA ribbons (compression zones).
Step 2 — Watch for Reversal Signal
“BUY” or “SELL” label = early trend shift.
Wait for at least one candle close after the reversal for confirmation.
Step 3 — Wait for Retest Confirmation
Price should touch or bounce near EMA144/233.
“Retest BUY/SELL Strong” = higher probability entry zone.
Step 4 — Filter by Volume
Strong signals appear only if volume > SMA(volume) × multiplier.
Low-volume retests are weaker and more likely to fail.
Step 5 — Manage Trades
Enter on confirmed “Strong” retests.
Use EMA233 or ATR-based stop loss.
Exit on opposite reversal or loss of trend alignment.
💡 4. Reading Behavior Tips
EMA compression low (<0.2) → sideways market → avoid entries.
Strong retest + high volume → high probability continuation.
Weak retest or compressed EMA → caution; may be fakeout.
EMA144 & 233 cross → long-term trend shift zone.
Spaced signals = stable trend; clustered signals = volatility zone.
🔔 5. Using Alerts
You can set TradingView alerts for:
BUY/SELL Reversal: Trend direction change
Retest BUY/SELL Strong: Confirmation entry
BUY/SELL Breakout: First strong test after new reversal
Open Interest FlowクリプトのOIを表示し、OIが上昇傾向なのか下落傾向なのか把握できる(アラート搭載)
Displays cryptocurrency OI and lets you know whether the OI is trending upward or downward (alerts included)
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
Bubble ChartBubble Chart- Visual Market Intelligence
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⚡ 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.
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📦 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
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📊 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.
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1. %Turnover
This measures conviction behind each move.
Turnover = current money flow vs. average money flow over your lookback window.
A large % move with low turnover = a weak move with little backing.
A moderate % move with high turnover = strong participation, higher conviction.
This is my personal favorite morning setup — it instantly reveals where real buying and selling pressure is emerging as the session unfolds.
A horizontal line across your selected ticker acts as a benchmark, so you can compare others’ conviction levels relative to it.
Any %turnover score >100 means more money than average is flowing in and out of this name. In the example above, ELS, AMT, SUI, and PSA were positive on the day and saw more than the average amount of money being transacted on these tickers today. Do the same for the negative (KIM, ESS, HST, etc), and you know where the money is going. Below 100, the move lacked conviction.
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2. %ATR
Measures range expansion or compression relative to average volatility.
A stock can move big in price but stay inside a tight range → no expansion.
A stock can move little but break its typical volatility boundary → range expansion.
Expansion often signals momentum continuation; compression after large moves can precede turnarounds or consolidations.
This view helps you spot early volatility inflection points.
In the example above, in XLRE, you can see there are a lot of companies that are experiencing a range expansion to the downside. These stocks are now short setup stocks, as the power is pretty overwhelming (number of top companies as well as magnitude over the 100 index). However, there are 3 Stocks that are doing something completely different than the rest. AMT, SBAC, and CCI are experiencing range expansion (volatility) to the upside. These may become the new leaders. You would have to inspect each ticker to see what’s going on.
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3. ROC(5) Z-Score
Z-Score quantifies how far a data point deviates from its mean, measured in standard deviations.
Here it’s applied to 5-period Rate of Change (ROC5).
A high positive Z-Score = performance far above its historical average.
A low (negative) Z-Score = deeply oversold vs. history.
Use this view to identify stretched momentum or mean-reversion candidates:
Stocks high on the Y-axis and green = extended upside momentum
Stocks high but red = potential reversal zones
Stocks low and red = extreme washouts that may soon rebound
This makes it a powerful stock-picking lens for traders who look for reversions or contrarian entries.
The following is the XLU and its 5 top holdings. Looked at on the daily timeframe, which means the ROC(5) score is for its weekly ROC (see timeframe discussion above).
What you can see here is most stocks are within their normal acceleration band. However BIIB is very close to -200. This is uncommon.As you can see from the chart of BIIB with it’s ROC(5) graphed below it, this does indicate a short term turn, and is a high probability long setup.
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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. .
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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
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⚙️ 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.
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👥 Friends — Relationship Mapping
Every ticker on the chart has its own “friends list.”
These aren’t arbitrary. They’re discovered through a multi-stage algorithm that analyzes co-occurrence of holdings across ETFs and sectors, roughly like social network analysis for stocks. This is what allows a chart of one stock to intelligently surface others that behave like it, whether through shared ETFs, sector overlap, or statistical co-presence.
Why Friends Matter: When you load AAPL, the chart doesn't just show random stocks. It shows AAPL's "friends", the tickers most connected to it through:
Shared ETF holdings
Sector relationships
Statistical co-movement
This means you're seeing AAPL's context, not just AAPL. Example: AAPL up 2% might look strong, but if all its friends are up 3-4%, AAPL is actually lagging. The chart reveals this instantly.
In this friendship look, you can see companies that are in better (and worse) shape for the month (we are looking at it on the “W” timeframe). If I didn’t own ORCL, INTC, or MU (hidden use tooltip), I should start looking at them.
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Common Setups - do these today
Morning Momentum Scan: - Y-axis: %Turnover - Bubble Size: %Volume - Look for: Top-right quadrant (high performance + high conviction)
Reversal Hunting: - Y-axis: RSI(15) Z-Score - Look for: Red bubbles above +100 (overbought rolling over) Green bubbles below -100 (oversold bouncing)
Sector Rotation: - Y-axis: None (heatmap mode) - Bubble Size: Market Cap - Look for: Color clustering by sector (border colors)
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🧩 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.
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🚀 How to Use It
Load the Bubble Chart on any stock, ETF, or futures symbol.
Choose your Y-axis insight — start with “None” for the heatmap.
Adjust bubble size to highlight capital weight or activity.
Switch timeframes to shift context (today, this week, month, or year).
Hover bubbles for details: sector, turnover, z-scores, %volume, and more.
⸻
❓ Frequently Asked Questions
Q: Why do I only see 5 bubbles?
A: You're using Bubble Chart Lite. The full version shows up to 39 bubbles simultaneously for complete market breadth..
To get access:
Find the "Bubble Chart" (invite-only) indicator on TradingView
Read the description for access instructions
Or visit my TradingView profile for details
Q: Can I customize which tickers appear?
A: The indicator automatically selects the most relevant tickers based on the current chart's symbol and the friends algorithm. This ensures you're seeing context, not random stocks.
Q: What timeframe should I use?
A: Any timeframe works. The chart adapts: - Intraday = today's performance - Daily = week-to-date - Weekly = month-to-date - Monthly = year-to-date
Q: How often does the friends list update?
A: Friends relationships are recalculated periodically as ETF holdings change (once every 3 months). The relationships are stable enough that daily changes are minimal.
Q: Does this work on crypto/forex?
A: Currently optimized for US equities and ETFs. Other asset classes may show limited friends data.
Q: The chart looks cluttered. Help?
A: Start with Y-axis: None and Bubble Size: Market Cap. You can also choose to pick less number of bubbles which will clear up the chart
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The Bubble Chart is a market topology engine that visualizes participation, conviction, volatility, and sentiment in real time.
Whether you’re scanning morning momentum, identifying exhausted moves, or exploring ETF ecosystems, it gives you a spatial view of where the action really is.
My EMA IndicatorMy Absolutely Profitable Indicator
It can be use when ema9 crosses ema100 and so on...
Use it with Volume Oscillator...