DBG X WOLONG📊 USER GUIDE – DBG X WOLONG ALGORITHM
🎯 OVERVIEW
The DBG X WOLONG Future Algorithm is a Pine Script v5 that integrates multiple advanced technical indicators, enabling traders to analyze markets and make precise trading decisions.
⚙️ MAIN SETTINGS
🔹 Sensitivity
Value: 1–20 (Default: 6)
Function: Adjusts the sensitivity of the SuperTrend signal
Guidelines:
Low value (1–5): Fewer signals, higher accuracy
High value (15–20): More signals, but with possible noise
🎨 DISPLAY SETTINGS
🔹 Candle Colors
Version 1: Based on MACD histogram
Version 2: Based on SuperTrend
🔹 Color Themes
Theme 1: Traditional Green/Red
Theme 2: Gold/Purple
Theme 3: Blue/Orange
No Fill: No background color displayed
📊 TRADING SIGNALS
🔹 Buy/Sell Signals
BUY 🚀 appears when:
SuperTrend shifts from bearish to bullish
Closing price > SMA 13
Braid Filter confirms
SELL appears when:
SuperTrend shifts from bullish to bearish
Closing price < SMA 13
Braid Filter confirms
🔹 Reversal Signals
▲ (Up Arrow): Buy signal when RSI crosses above 30
▼ (Down Arrow): Sell signal when RSI crosses below 70
🔹 Pullback Signals
▲ Purple: Pullback in bullish trend
▼ Purple: Pullback in bearish trend
🎯 TAKE PROFIT & STOP LOSS
🔹 TP Modes
Version 1: TP based on pivot points
Version 2: TP based on regression line
Close Price: TP at candle close
🔹 TP/SL Settings
TP Ratio: 2.0 (Default)
TP Length: 150 (Default)
ATR SL Length: 10
ATR SL Risk: 1.9
🔹 Labels Displayed
ENTRY: Entry point
STOP LOSS: Stop loss point
TP 1/2/3: 3 take profit levels
☁️ MOVING AVERAGE CLOUD
🔹 Supported MA Types
SMA – Simple Moving Average
EMA – Exponential Moving Average
WMA – Weighted Moving Average
HMA – Hull Moving Average
ALMA – Arnaud Legoux Moving Average
McGinley – McGinley Dynamic
FRAMA – Fractal Adaptive Moving Average
🔹 Cloud Cycles
Default: 2, 6, 11, 18, 21, 24, 28, 34
Customizable: All 8 cycles
🔹 Ribbon Cycles
Default: 6, 13, 20, 28, 36, 45, 55, 444
Customizable: All 8 cycles
🔧 BRAID FILTER
🔹 Function
Filters out noise signals
Confirms strong trends
🔹 Settings
MA Filter: McGinley (Recommended)
Filter Strength: 80% (Default)
📈 TRENDS & INDICATORS
🔹 SuperTrend
Main trend indicator
Generates primary buy/sell signals
🔹 Advanced Ichimoku
Tenkan-Sen: Blue line
Kijun-Sen: Orange line
Senkou Span A/B: Ichimoku cloud
🔹 Trend Tracking
Based on EMA 10 vs EMA 20
Candle colors follow trend direction
🔹 Trend Catcher
Range Filter with multiple options
Adjustable sensitivity
📊 MULTI-TIMEFRAME TREND PANEL
🔹 Displayed Timeframes
1m, 3m, 5m
15m, 30m, 1H
2H, 4H, 8H, Daily
🔹 Displayed Info
Current Position: Bullish/Bearish
Trend: Per timeframe
Volume: Current trading volume
🔹 Panel Positioning
9 selectable positions
Sizes: Large, Normal, Small, Extra Small
🚀 TRADE EXECUTION
📈 LONG ENTRY
✅ Entry Conditions
BUY 🚀 signal appears
SuperTrend turns from red to green
Price > SMA 13
Braid Filter confirms (green)
Trend Panel shows "Bullish" across multiple TFs
📊 Additional Confirmations
MACD Histogram > 0 and rising
RSI crosses above 30 (if reversal signal)
EMA Pullback shows ▲ purple
🎯 Trade Management
Entry: According to ENTRY label
Stop Loss: According to STOP LOSS label
Take Profit: TP1 → TP2 → TP3
📉 SHORT ENTRY
✅ Entry Conditions
SELL signal appears
SuperTrend turns from green to red
Price < SMA 13
Braid Filter confirms (red)
Trend Panel shows "Bearish" across multiple TFs
📊 Additional Confirmations
MACD Histogram < 0 and declining
RSI crosses below 70 (if reversal signal)
EMA Pullback shows ▼ purple
🎯 Trade Management
Entry: According to ENTRY label
Stop Loss: According to STOP LOSS label
Take Profit: TP1 → TP2 → TP3
🎛️ RECOMMENDED SETTINGS
👥 For Beginners
Sensitivity: 6
Candle Colors: Version 1
Buy/Sell Signals: ON
Reversal Signals: OFF
Trend Panel: ON
🏆 For Experienced Traders
Sensitivity: 4–8 (depending on market)
Reversal Signals: ON
Pullback: ON
All indicators: ON
ATR SL Risk: 1.5–2.0
⚡ For Scalping
Sensitivity: 8–12
Timeframes: 1m, 3m, 5m
Use only: SuperTrend + Braid Filter
Quick TP: Only TP1
📊 For Swing Trading
Sensitivity: 4–6
Timeframes: 1H, 4H, 1D
Use all: Full signals
TP: All 3 levels (TP1, TP2, TP3)
⚠️ IMPORTANT NOTES
🔴 Avoid Trading When
Signals conflict across timeframes
Market is strongly ranging/sideways
Abnormally low volume
Price is at major support/resistance zones
🟢 Prefer Trading When
At least 2–3 confirmations align
Clear trend across multiple timeframes
Strong volume surge
Breakout from consolidation zone
💡 Usage Tips
Always wait for confirmation: Never enter with just 1 signal
Risk management: Place SL according to STOP LOSS label
Follow trend panel: Prioritize overall trend
Use multiple timeframes: Analyze top-down
Backtest first: Test strategy on historical data
🛠️ TROUBLESHOOTING
❓ No signals appear
Check if inputs are enabled
Adjust sensitivity
Try switching timeframe
❓ Too many false signals
Lower sensitivity
Increase Braid Filter strength
Trade only with main trend
❓ Trend panel not showing
Enable "Display Dashboard"
Select proper panel position
Adjust panel size
📞 SUPPORT
If you encounter issues using this script, please:
Carefully read this guide
Practice on a demo account
Backtest thoroughly before live trading
📈 Wishing you successful trading! 🚀
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Advance Trading SystemThis Price Action + Volume based indicator combines Multi‑Timeframe swing structure, volume ranking, liquidity zones and auto long/short signal generation to create an “Advance Trading System” that displays OB (order block‑like) levels, dashboard and entry/exit labels on the chart.
What this indicator does
Looks at recent candles on different timeframes to determine if the trend is more “bullish” or “bearish” (considers it bullish if at least 2 out of 3 timeframes agree).
Picks up the recent swing points where the price can reverse and plots green/red lines on them (called “Buy OB”/“Sell OB” here).
Shows when volume has increased, whether the bar is an inside-bar or not, and a small dashboard in the top-right that shows the trend, reversal levels, volume and LTF/HTF signals.
What are the buttons/settings
Swing Strength: Based on how many bars the recent swing high/low will be confirmed; if the number increases, the signal will come late but with more confidence.
Volume Avg Period: How many bars the volume should be averaged from; this checks “whether the volume is strong or not”.
Show HH/HL/LH/LL Labels: Switch to show/hide swing labels by writing them on the chart.
Show Dashboard: Small panel on/off in the top-right.
Signal Mode: Auto, Long Only, Short Only or Both—that is, whether to follow the auto-trend or see only buy/sell.
LTF/HTF: Choose lower and higher timeframes; also 15m/30m/1h/4h are scanned in the background to understand the recent direction.
How to identify trends and swings
Candle patterns: Simple rule—if the latest candle is biased (e.g. a strong bull/bear or a particularly long wick candle), then the signal for that TF is 1 (bull) or -1 (bear); otherwise 0.
Three TFs: Lower, Mid (which is the chart TF), and Higher—the non-zero signal is considered the “last known direction”; then the number of the three is counted as bull/bear.
Swing high/low: The most recent “solid” high/low on the chart is considered the highest/lowest within a few bars to the left or right; this indicates whether the new high is above (HH) or below (LH) the old one, and whether the new low is above (HL) or below (LL).
What are the green/red lines
If the trend is bullish (at least 2 out of 3 TFs are bullish), a green line is drawn near the previous confirmed low—here it is called Buy OB; the idea is that if the price comes near this zone, a bounce is expected.
On a bearish trend, a red line is drawn near the previous confirmed high—Sell OB—which means if the price comes near that zone, a drop is expected.
Volume colors and inside-bars
color of each bar is determined by the volume ranking: orange/yellow for low volume, varying shades of blue for high volume; if an inside-bar is formed (both high/low inside the previous bar) the bar is darkened to draw attention.
Simple estimation of liquidity zone
When the recent swing high is formed, the total volume is looked at in the surrounding few bars (eg: 3-3 bars before/after) and the upper/lower edge is noted where the maximum concentration is - this is considered as the liquidity zone.
The same is done for the high TF as well and the average of both is taken to form an MTF zone to get a big-picture picture.
What the dashboard shows
Trend (Multi‑TF): HL/HH indicates bullish trend, LH/LL indicates bearish trend; color green/red.
Reversal Level: Level where the recent reversal was confirmed (high/low of the last confirmed swing).
Volume vs Prev: Volume higher/lower/equal to the previous bar.
Volume: Raw number, color green/red depending on whether Price is buy or sell.
LTF/HTF: Last received signal as BUY/SELL.
How entry/exit signals are formed
Basic conditions:
Mood bias: at least 2 TFs in the same direction.
Volume strength: current volume is well above average and higher than the previous bar—i.e. there is real juice.
Near zone: price is in a small band around the green/red line (e.g. within about -2% to +1% for Buy).
Long Entry : all three conditions above are met on the previous close of the bar in the buy direction; Short Entry is the opposite. Exit rule is also placed on the previous bar of the opposite signal, so that everything is on a “confirmed close” and false shocks are minimized.
Labels: once the signal is confirmed, the labels “LONG ENTRY”, “LONG EXIT”, “SHORT ENTRY”, “SHORT EXIT” are applied to the chart on the previous bar itself, with a small ATR-based gap for clear reading.
How Auto/Manual modes work
Auto (TF Based): The system will decide whether to look at Long Only, Short Only, or Both—depending on the Multi‑TF trend.
Long Only/Short Only: Only signals from that side will be generated; Both will generate both.
What to look for in the limits
Swing confirmation takes time, as you have to wait for a few bars to the right—so the signal is more reliable with a slight delay.
The term “OB” is used here for a simple level; this is not pro-level order-block detection (such as with FVG/break-off-structure), but it works well with this system.
Volume ranking is simple; ties are possible at equal volume, which can reduce precision in color-coding.
How to use
First check the trend from the dashboard: focus on the buy zone if HL/HH, sell zone if LH/LL.
Then check if there is a volume spike; without volume confirmation it is better to skip signals.
When the price is right near the green/red line, only work with a confirmed signal on the previous close bar, avoid rushing in between.
This can be made more robust if desired by adding true order‑block, FVG, and additional confirmations (such as RSI/MACD/Structure Break); but the base idea is to combine multi‑timeframe trend + swing levels + volume strength + zone close to produce simple, Tradeable and confirmed signals.
BTC Macro Composite Index -Offsettingthis is an indicator using Howell's Thesis of BTC moved by liquidity :
instead of using global M2, it composes :
Global Liquidity (41%) = USD-adjusted CB balance sheets (WALCL, EUCBBS, JPCBBS, CNCBBS)
Investor Risk Appetite (22%)=Copper/Gold ratio, inverted VIX (risk-on), HY vs IG OAS
Gold-related factors(15-20%)= XAUUSD + BTC/Gold ratio (Gold influence on Bitcoin)
All of it offset foward 90 days , and it does a better job on identifying where the btc price will be headed .....
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands
Part 1 — Mathematics and Algorithmic Design
Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals.
Data pipeline.
1. Choose a source (default `close`; MTF optional via `request.security`).
2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$.
3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists).
4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer.
5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline).
6. Smooth levels with a short EMA for readability.
Rolling quantiles.
Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate:
* Buy band $\approx Q(q)$
* Sell band $\approx Q(1-q)$
* Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$
Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead.
Residual transform (optional).
In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price.
Volatility-adaptive percentile.
Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is:
Smoothing.
Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals.
Latched state machines.
Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset:
* BUY latch:
(1) HLC3 crosses above the median →
(2) the median is rising →
(3) HLC3 prints above the upper (orange) band → BUY latched.
* SELL latch:
(1) HLC3 crosses below the median →
(2) the median is falling →
(3) HLC3 prints below the lower (teal) band → SELL latched.
Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn.
MTF behavior and repainting.
MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability.
Complexity and parameters.
Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$.
Part 2 — Practical Use for Discretionary/Active Traders
What the bands mean in practice.
The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts.
Two core playbooks.
1. Mean-reversion around a stable median.
* Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging.
* Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up.
* Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry.
* Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop.
* Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down.
2. Continuation with latched confirmations.
* Context: A developing trend where you want fewer but cleaner signals.
* Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation.
* Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum.
* Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple.
Parameter guidance by timeframe.
* Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise.
* Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6.
* Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4.
Baseline choice.
Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands.
How to time entries.
Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size.
Risk management.
Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution.
Combos and filters.
* Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median).
* Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation).
* Volume or session filters (e.g., avoid illiquid hours) can materially improve execution.
Alerts for discretion.
Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise.
Common pitfalls.
Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops.
A concise checklist.
1. Is the median flat (range) or sloped (trend)?
2. Is band width expanding or contracting vs ATR?
3. Are we near the tail level aligned with the intended trade?
4. For continuation: did the 3 steps for a latched signal complete?
5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)?
6. Are you trading during liquid hours for the instrument?
Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries.
Disclaimer
No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
Apex Edge - London Open Session# Apex Edge - London Open Session Trading System
## Overview
The London Open Session indicator captures institutional price action during the first hour of the London forex session (8:00-9:00 AM GMT) and identifies high-probability breakout and retest opportunities. This system tracks the session's high/low range and generates precise entry signals when price breaks or retests these key institutional levels.
## Core Strategy
**Session Tracking**: Automatically identifies and marks the London Open session boundaries, creating a trading zone from the first hour's price range.
**Dual Entry Logic**:
- **Breakout Entries**: Triggers when price closes beyond the session high/low and continues in that direction
- **Retest Entries**: Activates when price returns to test the broken level as new support/resistance
**Performance Analytics**: Built-in win rate tracking displays real-time performance statistics over user-defined lookback periods, enabling data-driven optimization for each currency pair.
## Key Features
### Automated Zone Detection
- Precise London session timing with timezone offset controls
- Visual session boundaries with customizable colours
- Automatic high/low range calculation and display
### Smart Entry System
- Breakout confirmation requiring candle close beyond zone
- Retest detection with configurable pip distance tolerance
- Separate risk/reward ratios for breakout vs retest entries
- Visual entry arrows with clear trade direction labels
### Performance HUD
- Real-time win rate calculation over customizable periods (7-365 days)
- Total trades tracking with win/loss breakdown
- Average risk-reward ratio display
- Color-coded performance metrics (green >70%, yellow >50%, red <50%)
### PineConnector Integration
- Direct MT4/MT5 execution via PineConnector alerts
- Proper forex pip calculations for all currency pairs
- Customizable risk percentage per trade
- Symbol override capability for broker compatibility
- Automatic SL/TP level calculation in pips
## Critical Usage Requirements
### Pair-Specific Optimization
Each currency pair requires individual optimization due to varying volatility characteristics, institutional participation levels, and typical price ranges during London hours. The performance HUD is essential for identifying optimal settings before live trading.
**Recommended Testing Process**:
1. Apply indicator to desired currency pair and timeframe
2. Experiment with session timing - while 8:00-9:00 AM GMT is standard, some pairs may show improved performance with alternative hourly windows (e.g., 7:00-8:00 AM or 9:00-10:00 AM)
3. Adjust Stop Loss distances, Risk/Reward ratios, and Retest distances
4. Monitor win rate over 30+ day periods using the performance HUD
5. Only proceed with live alerts once consistent 60%+ win rates are achieved
6. Create separate optimized chart setups for each profitable pair/timeframe combination
### Timeframe Specifications
This indicator is specifically designed and tested for:
- **1-minute charts**: Optimal for capturing immediate institutional reactions
- **5-minute charts**: Balanced approach between noise reduction and opportunity frequency
Higher timeframes generally produce inferior results due to increased noise and reduced institutional edge during the London session window.
## Settings Configuration
### Session Timing
- **London Open/Close Hours**: Adjust for your chart's timezone
- **Rectangle End Time**: Set to 4:30 PM to stop signals before NY session close
- **Timezone Offset**: Ensure accurate London session capture
### Entry Parameters
- **Retest Distance**: 3-8 pips depending on pair volatility
- **Stop Loss Pips**: Separate settings for breakouts (10-15 pips) and retests (8-12 pips)
- **Risk/Reward Ratios**: Independent ratios for different entry types
### PineConnector Setup
- **License ID**: Your PineConnector license key
- **Symbol Override**: MT4/MT5 symbol names if different from TradingView
- **Risk Percentage**: Position size as percentage of account balance
- **Prefix/Comment**: Organize trades in terminal
## Manual Trading Limitations
Without PineConnector automation, traders face significant practical challenges:
**Settings Management**: Each currency pair requires different optimized parameters. Switching between charts means manually adjusting multiple settings each time, creating potential for errors and missed opportunities.
**Timing Sensitivity**: London Open signals can occur rapidly during high-volatility periods. Manual execution may result in slippage or missed entries.
**Multi-Pair Monitoring**: Tracking 4-11 currency pairs simultaneously while manually adjusting settings for each switch becomes impractical for most traders.
**Parameter Consistency**: Risk of using suboptimal settings when quickly switching between pairs, potentially compromising the careful optimization work.
## Recommended Workflow
1. **Historical Testing**: Use win rate HUD to identify profitable pairs and optimal parameters
2. **Demo Automation**: Test PineConnector alerts on demo accounts with optimized settings
3. **Live Implementation**: Deploy alerts only on proven profitable pair/timeframe combinations
4. **Ongoing Monitoring**: Regular review of performance metrics to maintain edge
## Risk Disclaimer
This indicator provides analysis tools and automation capabilities but does not guarantee profitable trading outcomes. Past performance does not predict future results. Users should thoroughly backtest and demo trade before risking live capital. The London session strategy works best during specific market conditions and may underperform during low volatility or unusual market environments.
## Support Requirements
Successful implementation requires:
- Basic understanding of London session market dynamics
- PineConnector subscription for automation features
- Patience for proper optimization process
- Realistic expectations about win rates and drawdown periods
This system is designed for serious traders willing to invest time in proper optimization and risk management rather than plug-and-play solutions.
Quarterly-Inspired EMA Swing Strategy🚀 Quarterly EMA Strategy: Simplified
This strategy uses quarterly trends and pullbacks to EMAs (Exponential Moving Averages) to buy low and sell high in strong uptrends (longs) or short weak stocks in strong downtrends.
⸻
🔧 Core Setup
• Timeframe: Quarterly (1 candle = 3 months or ~65 trading days).
• Stocks: Liquid NSE F&O stocks (e.g., Reliance, Bajaj Finance, Tata Motors, etc.).
• Indicators Used:
• 10-quarter EMA → Shorter-term trend.
• 21-quarter EMA → Long-term trend.
• 13-week EMA → Weekly confirmation.
• ATR → For stop-loss.
• VIX → Volatility control.
• Relative Strength vs Nifty → Filter strong/weak stocks.
⸻
🟢 LONG SETUP (Buy on Pullback in Uptrend)
✅ Conditions:
1. Quarterly Trend is Bullish
Price > 10Q EMA > 21Q EMA
2. Pullback Happens
Price closes within 3% of 10Q or 21Q EMA, or touches it and bounces.
• E.g., Stock close = 8200, 10Q EMA = 8000 → Pullback = Valid (2.5% gap)
3. Previous Trend is Strong
• Last 1-2 quarters were making higher highs OR closing well above 10Q EMA
4. Candle Shows Rejection
• Lower wick (buying pressure from EMA)
• Small body (<5% total candle range)
5. Market Support Filters
• Nifty > its 4-quarter EMA (sloping upward)
• India VIX < 20 (low panic)
• Stock’s last 2 quarters’ return > 1.1× Nifty’s return
6. Weekly Confirmation
• Price > 13-week EMA
• 13W EMA is rising
• Bullish pattern in last 2 candles
• Volume ≥ 75% of 20-week average
⸻
📈 Example (Bajaj Finance):
• Close: 8200,
• 10Q EMA: 8000 (bullish),
• 21Q EMA: 7800
• Weekly price > 13W EMA → Confirmation ✅
⸻
🎯 Trade Plan (Long):
• Entry: 8200 (Quarterly) or near 13W EMA (Weekly)
• Stop-Loss: 2× ATR below 21Q EMA or candle low
• Target: 2:1 reward
• Exit 1: Book 50% at target
• Exit 2: Trail 21Q EMA
• Optional Hedge: Buy Nifty PUT if VIX > 15
⸻
🔴 SHORT SETUP (Sell on Pullback in Downtrend)
✅ Conditions:
1. Quarterly Trend is Bearish
Price < 10Q EMA < 21Q EMA
2. Pullback to EMA
Price closes within 3% of 10Q or 21Q EMA, or touches and gets rejected
3. Prior Trend is Down
Last 1-2 quarters had lower lows or closing >5% below 10Q EMA
4. Bearish Candle Setup
• Upper wick (rejection from EMA)
• Small body
5. Market Support Filters
• Nifty < its 4-quarter EMA (sloping down)
• India VIX < 20
• Stock’s 2-quarter return < 0.9× Nifty’s return
6. Weekly Confirmation
• Price < 13-week EMA
• 13W EMA is falling
• Bearish candles (engulfing, lower highs)
• Volume ≥ 75% of 20-week average
⸻
📉 Example (Vodafone Idea):
• Close: ₹8
• 10Q EMA: ₹8.2 → Close is 2.5% below
• Weekly close < 13W EMA
• Bearish candle → Confirmation ✅
⸻
🔻 Trade Plan (Short):
• Entry: 8
• Stop-Loss: 2× ATR above 21Q EMA or candle high
• Target: 2:1 reward
• Exit 1: Book 50% at target
• Exit 2: Trail 21Q EMA
• Optional Hedge: Buy Nifty CALL if VIX > 15
⸻
📊 Position Sizing (Same for Long & Short):
• Risk per trade: 0.5–1% of total capital
• Example:
• Capital = ₹10 lakh
• Risk = ₹10,000
• Stop = 800 points → Buy 12 shares
⸻
✅ Exit Rules Summary
Candle Aura Glow [mqsxn]Illuminate your charts with a dynamic visual overlay that highlights the true energy behind each candle. Candle Aura Glow wraps candles in soft glowing rings, with intensity driven by Range/ATR, Volume, or Momentum. The stronger the move, the brighter and larger the aura — instantly drawing your eye to candles that actually matter.
This tool is purely visual yet highly intuitive, designed to make volatility, strength, and sentiment obvious at a glance. Whether you’re spotting institutional-sized moves, filtering noise, or simply enhancing your chart readability, Candle Aura Glow brings price action to life.
Features
- Multiple Engines: Choose glow intensity based on Range/ATR, Volume, or Momentum (ROC).
- Aura Customization: Adjust number of rings, transparency fade, horizontal/vertical padding, and color schemes.
- Directional Colors: Separate glow tones for bullish vs bearish candles.
- Performance Controls: Option to render only the most recent candles for heavy charts.
- Non-Repainting: Auras are drawn only on confirmed bars, keeping the visualization reliable.
Inputs
- Intensity Engine – Select what drives aura strength (Range/ATR, Volume, Momentum).
- ATR Length / Volume SMA / Momentum Length – Customize smoothing windows per engine.
- Glow Levels (rings) – Number of glow layers drawn per candle.
- Horizontal Pad / Vertical Pad – Control aura spread sideways and vertically (ATR-scaled).
- Min Intensity – Filter out weak candles to focus only on significant moves.
- Inner Alpha / Outer Alpha – Control fade from center outward.
- Bull/Bear Aura Colors – Customize glow color by direction.
- Use full wick – Base aura on entire wick or just the candle body.
- Only render last N bars – Improve speed by limiting glow history.
Market Imbalance Tracker (Inefficient Candle + FVG)# 📊 Overview
This indicator combines two imbalance concepts:
• **Squared Up Points (SUP)** – midpoints of large, "inefficient" candles that often attract price back.
• **Fair Value Gaps (FVG)** – 3-candle gaps created by strong impulse moves that often get "filled."
Use them separately or together. Confluence between a SUP line and an FVG boundary/midpoint is high-value.
---
# ⚡ Quick Start (2 minutes)
1. **Add to chart** → keep defaults (Percentile method, 80th percentile, 100-bar lookback).
2. **Watch** for dashed SUP lines to print after large candles.
3. **Toggle Show FVG** → see green/red boxes where gaps exist.
4. **Turn on alerts** → New SUP created, SUP touched, New FVG.
5. **Trade the reaction** → look for confluence (SUP + FVG + S/R), then manage risk.
---
# 🛠 Features
## 🔹 Squared Up Points (SUP)
• **Purpose:** Midpoint of a large candle → potential support/resistance magnet.
• **Detection:** Choose *Percentile* (adaptive) or *ATR Multiple* (absolute).
• **Validation:** Only plots if the preceding candle does not touch the midpoint (with tolerance).
• **Lifecycle:** Line auto-extends into the future; it's removed when touched or aged out.
• **Visual:** Horizontal dashed line (color/width configurable; style fixed to dashed if not exposed).
## 🔹 Fair Value Gaps (FVG)
• **Purpose:** 3-candle gaps from an impulse; price often revisits to "fill."
• **Detection:** Requires a strong directional candle (Marubozu threshold) creating a gap.
• **Types:**
- **Bullish FVG (Green):** Gap below; expectation is downward fill.
- **Bearish FVG (Red):** Gap above; expectation is upward fill.
• **Close Rules (if implemented):**
- *Full Fill:* Gap closes when the opposite boundary is tagged.
- *Midpoint Fill:* Gap closes when its midpoint is tagged.
• **Visual:** Colored boxes; optional split-coloring to emphasize the midpoint.
> **Note:** If a listed FVG option isn't visible in Inputs, you're on a lighter build; use the available switches.
---
# ⚙️ Settings
## SUP Settings
• **Candle Size Method:** Percentile (top X% of recent ranges) or ATR Multiple.
• **Candle Size Percentile:** e.g., 80 → top 20% largest candles.
• **ATR Multiple & Period:** e.g., 1.5 × ATR(14).
• **Percentile Lookback:** Bars used to compute percentile.
• **Lookback Period:** How long SUP lines remain eligible before auto-cleanup.
• **Touch Tolerance (%):** Buffer based on the inefficient candle's range (0% = exact touch).
## Line Appearance
• **Line Color / Width:** Customizable.
• **Style:** Dashed (fixed unless you expose a style input).
## FVG Settings (if present in your build)
• **Show FVG:** On/Off.
• **Close Method:** Full Fill or Midpoint.
• **Marubozu Wick Tolerance:** Max wick % of the impulse bar.
• **Use Split Coloring:** Two-tone box halves around midpoint.
• **Colors:** Bullish/Bearish, and upper/lower halves (if split).
• **Max FVG Age:** Auto-remove older gaps.
---
# 📈 How to Use
## Trading Applications
• **SUP Lines:** Expect reaction on first touch; use as S/R or profit-taking magnets.
• **FVG Fills:** Price frequently tags the midpoint/boundary before continuing.
• **Confluence:** SUP at an FVG midpoint/boundary + higher-timeframe S/R = higher quality.
• **Bias:** Clusters of unfilled FVGs can hint at path of least resistance.
## Best Practices
• **Timeframe:** HTFs for swing levels, LTFs for execution.
• **Volume:** High volume at level = stronger signal.
• **Context:** Trade with broader trend or at least avoid counter-trend without confirmation.
• **Risk:** Always pre-define invalidation; structures fail in chop.
---
# 🔔 Alerts
• **New SUP Created** – When a qualifying inefficient candle prints a SUP midpoint.
• **SUP Touched/Invalidated** – When price touches within tolerance.
• **New FVG Detected** – When a valid gap forms per your rules.
> **Tip:** Set alerts *Once Per Bar Close* on HTFs; *Once* on LTFs to avoid noise.
---
# 🧑💻 Technical Notes
• **Percentile vs ATR:** Percentile adapts to volatility; ATR gives consistency for backtesting.
• **FVG Direction Logic:** Gap above price = bearish (expect up-fill); below = bullish (expect down-fill).
• **Performance:** Limits on lines/boxes and auto-aging keep things snappy.
---
# ⚠️ Limitations
• Imbalances are **context tools**, not signals by themselves.
• Works best with trend or clear impulses; expect noise in narrow ranges.
• Lower-timeframe gaps can be plentiful and lower quality.
---
# 📌 Version & Requirements
• **Pine Script v6**
• Heavy drawings may require **TradingView Pro** or higher (object limits).
---
*For best results, combine with your existing trading strategy and proper risk management.*
ICT GMMA VegasHigh-Level Summary
This indicator blends:
ICT concepts (Market Structure Shift, Break of Structure, Order Blocks, Liquidity Pools, Fair Value Gaps, Killzones, etc.).
GMMA (Guppy Multiple Moving Averages) to visualize short, medium, and long trend strength.
Vegas Tunnels (EMA channels 144/169 and 576/676, plus optional 288/388 mid-tunnels).
Vegas Touch entry module with candlestick patterns (Pin Bar 40%, Engulfing 60%).
Extra slope EMAs (EMA60 & EMA200 with color change by slope).
It not only shows the structure (OB, Liquidity, FVGs) but also plots entry arrows and alerts when Vegas Touch + GMMA align.
⚙️ Script Components
1. GMMA Visualization
Short-term EMAs (3–15, green).
Medium-term EMAs (30–60, red).
Long-term EMAs (100–250, blue).
Used to measure crowd sentiment: short EMAs = traders, long EMAs = investors.
The script counts how many EMAs the close is above/below:
If close above ≥17 → possible buy trend.
If close below ≥17 → possible sell trend.
Plots arrows for buy/sell flips.
2. Vegas Tunnels
Short-term tunnel → EMA144 & EMA169.
Long-term tunnel → EMA576 & EMA676.
Mid-tunnels → EMA288 & EMA388.
Plotted as orange/fuchsia/magenta bands.
Conditions:
Breakout checks → if close crosses above/below these EMAs compared to prior bar.
3. ICT Toolkit
Market Structure Shift (MSS) & BOS (Break of Structure): labels & dotted lines when price shifts trend.
Liquidity zones (Buy/Sell): boxes drawn around swing highs/lows with clustering.
Fair Value Gaps (FVG/IFVG): automatic box drawing, showing break status.
Order Blocks (OB): bullish/bearish blocks, breaker OB recognition.
Killzones: highlights NY open, London open/close, Asia session with background shading.
Displacement: plots arrows on large impulse candles.
NWOG/NDOG: Weekly/Monday Open Gaps.
Basically, this section gives a full ICT price action map on the chart.
4. Vegas Touch Entry Module (Pin40/Eng60 + EMA12 switch)
This is the custom entry system you added:
Logic:
If EMA12 > EMA169, use Tunnel (144/169) as reference.
If EMA12 ≤ EMA169, use Base (576/676).
Hard lock: no longs if EMA12 < EMA676; no shorts if EMA12 > EMA676.
Touch condition:
Long → price touches lower band (Tunnel/Base).
Short → price touches upper band (Tunnel/Base).
With ATR/Percent tolerance.
Trend filter:
Must also align with long-term Vegas direction (144/169 vs 576/676 cross).
Close must be on the outer side of the band.
Candlestick filter:
Pin Bar (≥40% wick) or
Engulfing (≥60% bigger body than previous).
Cooldown: avoids multiple signals in short succession.
Plots:
Green triangle below = Long entry.
Red triangle above = Short entry.
Alerts: triggers once per bar close with full message.
5. Slope EMAs (Extra)
EMA60 and EMA200 plotted as thick lines.
Color:
Green if sloping upward (current > value 2 bars ago).
Red if sloping downward.
📡 Outputs & Alerts
Arrows for GMMA trend flips.
Arrows for Vegas Touch entries.
Labels for MSS, BOS, FVGs, OBs.
Liquidity/FVG/OB boxes.
Background shading for killzones.
Alerts:
“📡 Entry Alert (Long/Short)” for GMMA.
“VT LONG/SHORT” for Vegas Touch.
📝 Key Idea
This is not just one system, but a multi-layered confluence tool:
ICT structure & liquidity context.
GMMA trend recognition.
Vegas Tunnel directional bias.
Candlestick-based confirmation (Pin/Engulf).
Alert automation for live trading.
👉 It’s essentially a trader’s dashboard: structural map + moving averages + entry signals all in one.
EdgeFlow Pullback [CHE]EdgeFlow Pullback \ — Icon & Visual Guide (Deep Dive)
TL;DR (1-minute read)
⏳ Hourglass = Pending verdict. A countdown runs from the signal bar until your Evaluation Window ends.
✔ Checkmark (green) = OK. After the evaluation window, price (HLC3) is on the correct side of the EMA144 for that signal’s direction.
✖ Cross (red) = Fail. After the evaluation window, price (HLC3) is on the wrong side of the EMA144.
▲ / ▼ Triangles = the actual PB Long/Short signal bar (sequence completed in time).
Small lime/red crosses = visual markers when HLC3 crosses EMA144 (context, not trade signals).
Orange line = EMA144 (baseline/trend filter).
T3 line color = Context signal: green when T3 is below HLC3, red when T3 is above HLC3.
Icon Glossary (What each symbol means)
1) ⏳ Hourglass — “Pending / Countdown”
Appears immediately when a PB signal fires (Long or Short).
Shows `⏳ currentBars / EvaluationBars` (e.g., `⏳ 7/30`).
The label stays anchored at the signal bar and its original price level (it does not drift with price).
During ⏳ you get no verdict yet. It’s simply the waiting period before grading.
2) ✔ Checkmark (green) — “Condition met”
Appears after the Evaluation Window completes.
Logic:
Long signal: HLC3 (typical price) is above EMA144 → ✔
Short signal: HLC3 is below EMA144 → ✔
The label turns green and text says “✔ … Condition met”.
This is rules-based grading, not PnL. It tells you if the post-signal structure behaved as expected.
3) ✖ Cross (red) — “Condition failed”
Appears after the Evaluation Window completes if the condition above is not met.
Label turns red with “✖ … Condition failed”.
Again: rules-based verdict, not a guarantee of profit or loss.
4) ▲ “PB Long” triangle (below bar)
Marks the exact bar where the 4-step Long sequence completed within the allowed window.
That bar is your signal bar for Long setups.
5) ▼ “PB Short” triangle (above bar, red)
Same as above, for Short setups.
6) Lime/Red “+” crosses (tiny cross markers)
Lime cross (below bar): HLC3 crosses above EMA144 (crossover).
Red cross (above bar): HLC3 crosses below EMA144 (crossunder).
These crosses are context markers; they’re not entry signals by themselves.
The Two Clocks (Don’t mix them up)
There are two different time windows at play:
1. Signal Window — “Max bars for full sequence”
A pullback signal (Long or Short) only fires if the 4-step sequence completes within this many bars.
If it takes too long: reset (no signal, no triangle, no label).
Purpose: avoid stale setups.
2. Evaluation Window — “Evaluation window after signal (bars)”
Starts after the signal bar. The label shows an ⏳ countdown.
When it reaches the set number of bars, the indicator checks whether HLC3 is on the correct side of EMA144 for the signal direction.
Then it stamps the signal with ✔ (OK) or ✖ (Fail).
Timeline sketch (Long example):
```
→ ▲ PB Long at bar t0
Label shows: ⏳ 0/EvalBars
t0+1, t0+2, ... t0+EvalBars-1 → still ⏳
At t0+EvalBars → Check HLC3 vs EMA144
Result → ✔ (green) or ✖ (red)
(Label remains anchored at t0 / signal price)
```
What Triggers the PB Signal (so you know why triangles appear)
LONG sequence (4 steps in order):
1. T3 falling (the pullback begins)
2. HLC3 crosses under EMA144
3. T3 rising (pullback ends)
4. HLC3 crosses over EMA144 → PB Long triangle
SHORT sequence (mirror):
1. T3 rising
2. HLC3 crosses over EMA144
3. T3 falling
4. HLC3 crosses under EMA144 → PB Short triangle
If steps 1→4 don’t complete in time (within Max bars for full sequence), the sequence is abandoned (no signal).
Lines & Colors (quick interpretation)
EMA144 (orange): your baseline trend filter.
T3 (green/red):
Green when T3 < HLC3 (price above the smoothed path; often supportive in up-moves)
Red when T3 > HLC3 (price below the smoothed path; often pressure in down-moves)
HLC3 (gray): the typical price the logic uses ( (H+L+C)/3 ).
Label Behavior (anchoring & cleanup)
Each signal creates one label at the signal bar with ⏳.
The label is position-locked: it stays at the same bar index and y-price it was born at.
After the evaluation check, the label text and color update to ✔/✖, but position stays fixed.
The indicator keeps only the last N labels (your “Show only the last N labels” input). Older ones are deleted to reduce clutter.
What You Can (and Can’t) Infer from ✔ / ✖
✔ OK: Structure behaved as intended during the evaluation window (HLC3 finished on the correct side of EMA144).
Inference: The pullback continued in the expected direction post-signal.
✖ Fail: Structure ended up opposite the expectation.
Inference: The pullback did not continue cleanly (chop, reversal, or insufficient follow-through).
> Important: ✔/✖ is not profit or loss. It’s an objective rule check. Use it to identify market regimes where your entries perform best.
Input Settings — How they change the visuals
T3 length:
Shorter → faster turns, more signals (and more noise).
Longer → smoother turns, fewer but cleaner sequences.
T3 volume factor (0–1, default 0.7):
Higher → more curvature/smoothing.
Typical sweet spot: 0.5–0.9.
EMA length (baseline) default 144:
Smaller → faster baseline, more cross events, more aggressive signals.
Larger → slower, stricter trend confirmation.
Max bars for full sequence (signal window):
Smaller → only fresh, snappy pullbacks can signal.
Larger → allows slower pullbacks to complete.
Evaluation window (after signal):
Smaller → verdict arrives quickly (less tolerance).
Larger → gives the trade more time to prove itself structurally.
Show only the last N labels:
Controls chart clutter. Increase for more history, decrease for focus.
(FYI: The “Debug” toggle exists but doesn’t draw extra overlays in this version.)
Practical Reading Flow (how to use visuals in seconds)
1. Triangles catch your eye: ▲ for Long, ▼ for Short. That’s the setup completion.
2. ⏳ label starts—don’t judge yet; let the evaluation run.
3. Watch EMA slope and T3 color for context (trend + pressure).
4. After the window: ✔/✖ stamps the outcome. Log what the market was like when you got ✔.
Common “Why did…?” Questions
Q: Why did I get no triangle even though T3 turned and EMA crossed?
A: The 4 steps must happen in order and within the Signal Window. If timing breaks, the sequence resets.
Q: Why did my label stay ⏳ for so long?
A: That’s by design until the Evaluation Window completes. The verdict only happens at the end of that window.
Q: Why is ✔/✖ different from my PnL?
A: It’s a structure check, not a profit check. It doesn’t know your entries/exits/stops.
Q: Do the small lime/red crosses mean buy/sell?
A: No. They’re context markers for HLC3↔EMA crosses, useful inside the sequence but not standalone signals.
Pro Tips (turn visuals into decisions)
Entry: Use the ▲/▼ triangle as your trigger, in trend direction (check EMA slope/market structure).
Stop: Behind the pullback swing around the signal bar.
Exit: Structure levels, R-multiples, or a reverse HLC3↔EMA cross as a trailing logic.
Tuning:
Intraday/volatile: shorter T3/EMA + tighter Signal Window.
Swing/slow: default 144 EMA + moderate windows.
Learn quickly: Filter your chart to show only ✔ or only ✖ windows in your notes; see which sessions, assets, and volatility regimes suit the system.
Disclaimer
No indicator guarantees profits. Sweep2Trade Pro \ is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Happy trading
Chervolino
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy
The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins.
This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend.
Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy.
It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model.
✅ Why did I choose OTHERS.D and MEME.D as reference indices?
I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins.
🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap.
This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins.
🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins.
A rising OTHERS.D often signals the start of broader altcoin rallies.
🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity.
It's perfect for timing momentum shifts in high-risk, high-reward tokens.
By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior.
📐 How It Works — Core Logic and Execution Model
At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index.
A trade is only executed when both EMA crossovers agree on the direction. For example:
Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA
Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA
You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy.
Additionally, the strategy includes:
- Adaptive position sizing, based on fixed capital or current equity (compound mode)
- Take Profit and Stop Loss in percentage terms
- Smart partial exits when trend momentum fades
- Date filtering for precise backtesting over specific timeframes
- Real-time performance stats, equity tracking, and visual cues on chart
⚙️ Parameters & Customization
🔁 EMA Settings
Each EMA pair is customizable:
Coin Fast EMA: Default = 47
Coin Slow EMA: Default = 50
Index Fast EMA: Default = 47
Index Slow EMA: Default = 50
These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive.
🧭 Index Reference
The correlation mechanism uses CryptoCap sector dominance indexes:
OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones
MEME.D: Dominance of all Meme coins
These are dynamically calculated using:
OTHERS_D = OTHERS_cap / TOTAL_cap * 100
MEME_D = MEME_cap / TOTAL_cap * 100
You can select:
Reference Index: OTHERS.D or MEME.D
Or disable the index reference completely (Don't Use Index Reference)
💰 Position Sizing & Risk Management
Two capital allocation models are supported:
- Fixed % of initial capital (default)
- Compound profits, which scales positions as equity grows
Settings:
- Compound profits?: true/false
- % of equity: Between 1% and 200% (default = 10%)
This is critical for users who want to balance growth with risk.
🎯 Take Profit / Stop Loss
Customizable thresholds determine automatic exits:
- TakeProfit: Default = 99999 (disabled)
- StopLoss: Default = 5 (%)
These exits are percentage-based and operate off the entry price vs. current close.
📉 Trend Weakening Exit (Scale Out)
If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position:
- Scale Position on Weak Trend?: true/false
- Scaled Percentage: % to close (default = 65%)
This feature is useful for preserving profits without exiting completely.
📆 Date Filter
Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets):
- Filter Date Range of Backtest: ON/OFF
- Start Date and End Date: Custom time range
OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab):
- Initial Capital is set to 100 USD
- Commission is set to 0.055% (The ones I have on Bybit)
- Slippage is set to 3 ticks
- Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation
📊 Visual Feedback and Debug Tools
📈 EMA Trend Visualization
The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend:
Lime: Coin and index both bullish
Teal: Only coin bullish
Maroon: Only index bullish
Red: Both bearish
This allows for immediate visual confirmation of current trend strength.
💬 Real-Time PnL Labels
When a trade closes, a label shows:
Previous trade return in % (first value is the effective PL)
Green background for profit, Red for losses.
📑 Summary Table Overlay
This table appears in a corner of the chart (user-defined) and shows live performance data including:
Trade direction (yellow long, purple short)
Emojis: 💚 for current profit, 😡 for current loss
Total number of trades
Win rate
Max drawdown
Duration in days
Current trade profit/loss (absolute and %)
Cumulative PnL (absolute and %)
APR (Annualized Percentage Return)
Each metric is color-coded:
Green for strong results
Yellow/orange for average
Red/maroon for poor performance
You can select where this appears:
Top Left
Top Right
Bottom Left
Bottom Right (default)
📚 Interpretation of Key Metrics
Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”)
Net Profit: Total gains including open positions
Max Drawdown: Largest peak-to-valley drop in strategy equity
APR: Annualized return calculated based on equity growth and days elapsed
Win Rate: % of profitable trades
PnL %: Percentage profit on the most recent trade
🧠 Advanced Logic & Safety Features
🛑 “Don’t Re-Enter” Filter
If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets.
🧷 Equity Protection
No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical.
Keep in mind that past results in no way guarantee future performance.
Eddie Bitcoin
Altcoin Market Share vs ETH/BTCIdea from x.com on X
Each colored line represents the percentage share of different altcoin baskets (excluding stablecoins) or ETH relative to either the ETH or BTC market cap (can add more, e.g. SOL or create different dashboards with Memes, AI, DeFi, you name it)
I know: At first glance, this may seem noisy and complex, but it all depends on the questions you want to answer. Once you define those, much of the noise becomes irrelevant, allowing you to simplify the analysis and focus only on what matters to you. What I’ve done here is provide a few initial insights that I found useful (will isolate a couple of them in future).
This analysis doesn’t tell you which specific coins to buy, but rather provides a broad market overview as a foundation. It helps guide you toward areas of relative strength or weakness.
I’ve included a lot of information here, but the key is to extract the signal from the noise by asking the right questions, for example: At what point do altcoins become overvalued or undervalued against Ethereum? However, when asking these questions, it's important to remember that an overvaluation or undervaluation of Ethereum relative to altcoins tells you little about its valuation against Bitcoin or USD. These are separate questions further down the process.
Vegas ema 過濾 Vegas Channel with EMA-Filter — Trading Rules
Components
Tunnel: EMA 144 & 169 (upper = max, lower = min).
Base: EMA 576 & 676 (upper = max, lower = min).
Fast filter: EMA12.
Touch threshold: ATR-based or % of the reference line.
Long touch = low ≤ line + thr; Short touch = high ≥ line − thr.
Trend gate
LongTrendOK: EMA144 > EMA576 and EMA169 > EMA676 and close > BaseUpper.
ShortTrendOK: EMA144 < EMA576 and EMA169 < EMA676 and close < BaseLower.
Price-action pattern (either one)
Pin40: bullish pin = close>open & lower wick ≥ 40% of range; bearish pin = close 169 → use Base.
Else → use Tunnel.
EMA12 hard locks (coarse filter)
Lock longs if EMA12 < 676 (no long signals at all).
Lock shorts if EMA12 > 676 (no short signals at all).
(Optional) Tunnel lock/unlock (fine filter)
Lock longs when EMA12 drops below TunnelLower; unlock when
A) EMA12 crosses back above 144/169/TunnelUpper, or
B) a bullish Pin/Eng appears at BaseUpper and EMA12 is back ≥ TunnelLower.
Lock shorts when EMA12 breaks above TunnelUpper; unlock when
A) EMA12 crosses back below 144/169/TunnelLower, or
B) a bearish Pin/Eng appears at BaseLower and EMA12 is ≤ TunnelUpper.
Final signal
LONG fires when: Close-bar confirmed ∧ Cooldown passed ∧ LongTrendOK ∧ ActiveBand lower touch ∧ Pin40 or Eng60 ∧ not hard-locked ∧ (not tunnel-locked if enabled).
SHORT symmetrical with upper touch.
Quality-of-life
Close-bar confirmation to avoid repaint.
Cooldown (e.g., 10 bars) to prevent signal clusters.
Alerts include a compact lock status string (LckL/LckS/HardL/HardS).
Optional “BLOCK:” labels show why a bar didn’t trigger (noTouch, EMA12<676/>676, TunnelLock, cooldown, notClose).
Suggested defaults
ATR(14), ATR multiplier 0.35 (or 0.20% if using Percent mode).
autoSwitchByEMA12_* = ON, hardLockBelow676/Above676 = ON, useTunnelLock* = OFF.
useCloseBar = ON, signalCooldown = 10.
Design intent
Tunnel (144/169) captures the working trend; Base (576/676) defines the structural bias.
EMA12 drives regime selection (Tunnel vs Base) and hard locks to keep signals sparse and aligned with momentum.
Fair Value Gaps BOOSTED [LuxAlgo & mqsxn] Fair Value Gaps BOOSTED
This enhanced version of LuxAlgo’s Fair Value Gap indicator takes market imbalance detection to the next level. Built on the trusted foundation of the original, this extension introduces powerful new features designed for traders who want deeper insight and more control:
Extended Visualization – Fair Value Gaps now stretch farther into the past with customizable bar extensions, so you can easily track unmitigated gaps over longer distances of time.
Intersection Highlights – Automatically identify and shade overlapping bullish/bearish FVGs, giving instant visual clarity on high-confluence zones.
Center Lines & Mitigation Tracking – Optional center lines improve precision, while mitigation markers help confirm when gaps are filled.
Advanced Filtering – Control visibility with minimum gap sizes, custom start dates for gap formations, and per-direction display limits.
Dashboard Stats – On-chart metrics show the number of detected and mitigated gaps, plus percentages, at a glance.
Alerts Ready – Set up alerts for fresh FVG formation or mitigation events, so you never miss a key signal.
Whether you’re scalping, day trading, or swing trading, Fair Value Gaps BOOSTED helps you pinpoint institutional price imbalances and trade around them with confidence.
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Inputs & Settings
Threshold % / Auto
Defines the minimum gap size as a percentage of price. Enable Auto to let the script automatically adapt thresholding based on volatility.
Unmitigated Lines (combined)
Draws guide lines for a set number of the most recent unmitigated gaps.
Mitigation Levels
Shows dashed lines where gaps have been fully mitigated (filled).
Timeframe
Lets you calculate Fair Value Gaps on a higher or lower timeframe than the chart you’re viewing.
Style
Dynamic Mode
Keeps the most recent gap area actively updating with price as long as it remains unmitigated.
Extend Right (bars)
Controls how many bars into the future each gap visualization will project.
Bullish / Bearish Colors
Customize the fill colors of bullish and bearish gaps.
Center Line & Width
Adds a dotted line through the midpoint of each gap for visual precision.
Filter
Min Gap Size (ticks)
Only display gaps greater than or equal to this size.
Min Formation Date (days ago)
Show gaps formed within a given lookback window (e.g., only last 4 days).
Display
Show Last Bullish / Bearish (unmitigated)
Limit how many recent bullish or bearish gaps appear at once (set to 0 for unlimited).
Intersections
Show Intersections
Highlight overlapping bullish and bearish gaps as shaded zones.
Show Intersections Only
Hide individual gaps and show only the overlapping regions.
Intersection Color
Customize the fill for overlap areas.
Intersection Center Line / Width
Optionally plot a midpoint line through the overlap zone.
Dashboard
Show Dashboard
Display a compact on-chart table of bullish vs bearish counts and mitigation percentages.
Location
Choose where the dashboard sits (top right, bottom right, bottom left).
Size
Adjust text size (Tiny, Small, Normal).
Corner Badge: PDC,Open,VWAP & Current + Delta to PDCSimple corner badge highlighting previous day's close, opening price, vwap and current price. Calculates delta to PDC and shades green or red if above or below PDC
We know this is all on the chart, but the data is easily accesible, offers a basic heat map and shows quickly whether opening is gapped up or down vs PDC when scrolling a watchlist.
Other two will just confirm trend or reversal.
An all green box means Price gapped up from PDC, VWAP and Current Price and above PDC.
Possible continuation?
Green, Red Red, reveals gap up followed by reversal or vice versa.
Nothing fancy. It's a start.
Might edit or delete after trying for a while.
Constance Brown Composite Index EnhancedWhat This Indicator Does
Implements Constance Brown's copyrighted Composite Index formula (1996) from her Master's thesis - a breakthrough oscillator that solves the critical problem where RSI fails to show divergences in long-horizon trends, providing early warning signals for major market reversals.
The Problem It Solves
Traditional RSI frequently fails to display divergence signals in Global Equity Indexes and long-term charts, leaving asset managers without warning of major price reversals. Brown's research showed RSI failed to provide divergence signals 42 times across major markets - failures that would have been "extremely costly for asset managers."
Key Components
Composite Line: RSI Momentum (9-period) + Smoothed RSI Average - the core breakthrough formula
Fast/Slow Moving Averages: Trend direction confirmation (13/33 periods default)
Bollinger Bands: Volatility envelope around the composite signal
Enhanced Divergence Detection: Significantly improved trend reversal timing vs standard RSI
Research-Proven Performance
Based on Brown's extensive study across 6 major markets (1919-2015):
42 divergence signals triggered where RSI showed none
33 signals passed with meaningful reversals (78% success rate)
Only 5 failures - exceptional performance in monthly/2-month timeframes
Tested on: German DAX, French CAC 40, Shanghai Composite, Dow Jones, US/Japanese Government Bonds
New Customization Features
Moving Average Types: Choose SMA or EMA for fast/slow lines
Optional Fills: Toggle composite and Bollinger band fills on/off
All Periods Adjustable: RSI length, momentum, smoothing periods
Visual Styling: Customize colors and line widths in Style tab
Default Settings (Original Formula)
RSI Length: 14
RSI Momentum: 9 periods
RSI MA Length: 3
SMA Length: 3
Fast SMA: 13, Slow SMA: 33
Bollinger STD: 2.0
Applications
Long-term investing: Monthly/2-month charts for major trend changes
Elliott Wave analysis: Maximum displacement at 3rd-of-3rd waves, divergence at 5th waves
Multi-timeframe: Pairs well with MACD, works across all timeframes
Global markets: Proven effective on equities, bonds, currencies, commodities
Perfect for serious traders and asset managers seeking the proven mathematical edge that traditional RSI cannot provide.
Strong Trend CandlesThis indicator highlights trend candles using a mathematically grounded method designed to identify moments when the market is truly dominated by buyers or sellers
Up-Trend Candle (UP):
The open is close to the session’s low.
The close is close to the session’s high.
This structure reflects sustained bullish control from start to finish.
Down-Trend Candle (DOWN):
The open is near the high.
The close is near the low.
This reflects clear bearish control throughout the session.
Precise Definitions Used:
UP-Trend Candle:
Open ≤ Low + 10% of range
Close ≥ High - 20% of range
DOWN-Trend Candle:
Open ≥ High - 10% of range
Close ≤ Low + 20% of range
Here, the range is simply High - Low.
Why are the thresholds different (10% vs 20%)?
This is intentional and based on how markets behave:
The opening price tends to be precise and stable in trend days. A strong trending candle usually opens very close to one end (high or low), reflecting a clean start without hesitation.
The closing price, however, often pulls back slightly before the end of the session—even during strong trends—due to profit-taking or last-minute volatility.
That’s why the close is allowed more tolerance (20%), while the open is held to a stricter threshold (10%). This balance allows the indicator to be strict enough to filter noise, yet flexible enough to capture real trends.
✅ Why this is useful
Unlike vague candle patterns like "bullish engulfing" or "marubozu," this method focuses strictly on structure and positioning, not color or subjective shape. It isolates the candles where one side clearly dominated, offering cleaner entries for breakout, continuation, or confirmation strategies.
You can use this tool to:
Spot high-momentum price action
Confirm breakouts or directional bias
Filter setups based on strong market conviction
🔹 How it works
An Up-Trend Candle is detected when the open is close to the daily low and the close is close to the daily high.
A Down-Trend Candle is detected when the open is close to the daily high and the close is close to the daily low.
The thresholds for “close to high/low” are configurable through the Open % of Range and Close % of Range inputs.
🔹 How to use it
Candles are colored according to their classification.
Colors can be customized in the settings.
This tool can be applied in any timeframe.
⚠️ Notes:
This script does not generate buy/sell signals.
It is designed to help visualize strong candles based on intraday range conditions.
ALTSEASON Monitor: Macro vs Crypto (normalized)Set 1W or 1M timeframe for the macro picture.
If your provider does not have some symbols, change the tickers in the script settings (for example, ETHBTC from another exchange).
For detailed trading, keep this monitor on the second window and watch local entries on individual charts.
Stacked Order Blocks & Breaker Blocks [FREE] [Extended]BASED ON LOGIC FROM "Order Blocks and Breaker Blocks
This indicator builds directly on the LuxAlgo Order Blocks & Breaker Blocks concept and adds a powerful new feature: stacked intersection highlighting.
Order Blocks (OBs) and Breaker Blocks are detected with the original LuxAlgo swing-based logic for reliability.
Blocks automatically extend to the right until invalidated, with breaker transitions marked clearly.
Intersection Zones: when multiple OBs and/or Breakers overlap, the shared price-time region is highlighted. These stacked zones represent areas of especially strong supply/demand confluence.
Customizable highlight styling:
Choose different colors for OB vs Breaker intersections.
Adjust transparency and maximum highlights displayed.
Optionally draw a center line through the overlap mid-price.
Toggle visibility so you can display only intersections, or both intersections and the underlying blocks.
Supports both bullish and bearish block filtering for overlap detection.
This tool is designed to help traders quickly identify high-probability confluence zones where multiple institutional footprints align.
Buy/Sell Volume BalanceDESCRIPTION
Buy/Sell Volume Balance is a simple yet powerful indicator designed to measure and visualize the balance between buying and selling volume over a customizable number of recent candles. It helps traders quickly assess market pressure during consolidation phases or ranges, in order to anticipate the most likely breakout direction.
How it works
The indicator analyzes the last N candles (default = 100, user-editable).
Each candle’s total volume is classified as:
Bullish volume (Buy volume): if the candle closes above or equal to its open.
Bearish volume (Sell volume): if the candle closes below its open.
The volumes are summed separately to calculate:
Total Buy Volume
Total Sell Volume
The percentage of each side relative to the total is also displayed.
All results are shown in a fixed table at the top of the chart for quick interpretation.
Purpose
This tool is specifically designed to help traders evaluate the internal battle between buyers and sellers during a range or sideways market. By understanding which side is accumulating more volume within the range, traders can anticipate which direction is more likely when the price breaks out.
If Buy volume dominates → potential bullish breakout.
If Sell volume dominates → potential bearish breakout.
If both sides are nearly balanced, it signals indecision and a higher chance of false breakouts.
Imbalance Threshold
In practice, traders often consider a clear imbalance when one side reaches at least 55–60% of the total volume.
Above this threshold, the dominant side is more likely to dictate the breakout direction.
Below this threshold, the market is usually in indecision and further confirmation is needed before acting.
How to use it
Add the indicator to your chart and choose the lookback period (number of candles).
Focus on ranges or consolidation zones where price is moving sideways.
Observe the balance of Buy vs Sell volume in the top-right box:
A clear imbalance (>55–60%) suggests the stronger side is more likely to push the breakout.
A balanced ratio (<55–60%) indicates indecision and possible false breakouts.
Use it in combination with support/resistance zones, breakout patterns, or volume spikes for best results.
✅ In summary: This indicator does not give direct buy/sell signals, but it provides valuable context about market pressure, helping you to align your trades with the most probable breakout direction.
Multi-Timeframe Buy/Sell Volume Dashboard (Highlight)🔹 Results:
✅ M5, M15, H1, Daily in one dashboard
✅ Buy/Sell/Difference/Buy% vs Sell% are all clear
✅ The dominance box will change color according to who is dominant:
Green → Strong buyer
Red → Strong seller
Yellow → Balanced
ATAI Volume Pressure Analyzer V 1.0 — Pure Up/DownATAI Volume Pressure Analyzer V 1.0 — Pure Up/Down
Overview
Volume is a foundational tool for understanding the supply–demand balance. Classic charts show only total volume and don’t tell us what portion came from buying (Up) versus selling (Down). The ATAI Volume Pressure Analyzer fills that gap. Built on Pine Script v6, it scans a lower timeframe to estimate Up/Down volume for each host‑timeframe candle, and presents “volume pressure” in a compact HUD table that’s comparable across symbols and timeframes.
1) Architecture & Global Settings
Global Period (P, bars)
A single global input P defines the computation window. All measures—host‑TF volume moving averages and the half‑window segment sums—use this length. Default: 55.
Timeframe Handling
The core of the indicator is estimating Up/Down volume using lower‑timeframe data. You can set a custom lower timeframe, or rely on auto‑selection:
◉ Second charts → 1S
◉ Intraday → 1 minute
◉ Daily → 5 minutes
◉ Otherwise → 60 minutes
Lower TFs give more precise estimates but shorter history; higher TFs approximate buy/sell splits but provide longer history. As a rule of thumb, scan thin symbols at 5–15m, and liquid symbols at 1m.
2) Up/Down Volume & Derived Series
The script uses TradingView’s library function tvta.requestUpAndDownVolume(lowerTf) to obtain three values:
◉ Up volume (buyers)
◉ Down volume (sellers)
◉ Delta (Up − Down)
From these we define:
◉ TF_buy = |Up volume|
◉ TF_sell = |Down volume|
◉ TF_tot = TF_buy + TF_sell
◉ TF_delta = TF_buy − TF_sell
A positive TF_delta indicates buyer dominance; a negative value indicates selling pressure. To smooth noise, simple moving averages of TF_buy and TF_sell are computed over P and used as baselines.
3) Key Performance Indicators (KPIs)
Half‑window segmentation
To track momentum shifts, the P‑bar window is split in half:
◉ C→B: the older half
◉ B→A: the newer half (toward the current bar)
For each half, the script sums buy, sell, and delta. Comparing the two halves reveals strengthening/weakening pressure. Example: if AtoB_delta < CtoB_delta, recent buying pressure has faded.
[ 4) HUD (Table) Display /i]
Colors & Appearance
Two main color inputs define the theme: a primary color and a negative color (used when Δ is negative). The panel background uses a translucent version of the primary color; borders use the solid primary color. Text defaults to the primary color and flips to the negative color when a block’s Δ is negative.
Layout
The HUD is a 4×5 table updated on the last bar of each candle:
◉ Row 1 (Meta): indicator name, P length, lower TF, host TF
◉ Row 2 (Host TF): current ↑Buy, ↓Sell, ΔDelta; plus Σ total and SMA(↑/↓)
◉ Row 3 (Segments): C→B and B→A blocks with ↑/↓/Δ
◉ Rows 4–5: reserved for advanced modules (Wings, α/β, OB/OS, Top
5) Advanced Modules
5.1 Wings
“Wings” visualize volume‑driven movement over C→B (left wing) and B→A (right wing) with top/bottom lines and a filled band. Slopes are ATR‑per‑bar normalized for cross‑symbol/TF comparability and converted to angles (degrees). Coloring mirrors HUD sign logic with a near‑zero threshold (default ~3°):
◉ Both lines rising → blue (bullish)
◉ Both falling → red (bearish)
◉ Mixed/near‑zero → gray
Left wing reflects the origin of the recent move; right wing reflects the current state.
5.2 α / β at Point B
We compute the oriented angle between the two wings at the midpoint B:
β is the bottom‑arc angle; α = 360° − β is the top‑arc angle.
◉ Large α (>180°) or small β (<180°) flags meaningful imbalance.
◉ Intuition: large α suggests potential selling pressure; small β implies fragile support. HUD cells highlight these conditions.
5.3 OB/OS Spike
OverBought/OverSold (OB/OS) labels appear when directional volume spikes align with a 7‑oscillator vote (RSI, Stoch, %R, CCI, MFI, DeMarker, StochRSI).
◉ OB label (red): unusually high sell volume + enough OB votes
◉ OS label (teal): unusually high buy volume + enough OS votes
Minimum votes and sync window are user‑configurable; dotted connectors can link labels to the candle wick.
5.4 Top3 Volume Peaks
Within the P window the script ranks the top three BUY peaks (B1–B3) and top three SELL peaks (S1–S3).
◉ B1 and S1 are drawn as horizontal resistance (at B1 High) and support (at S1 Low) zones with adjustable thickness (ticks/percent/ATR).
◉ The HUD dedicates six cells to show ↑/↓/Δ for each rank, and prints the exact High (B1) and Low (S1) inline in their cells.
6) Reading the HUD — A Quick Checklist
◉ Meta: Confirm P and both timeframes (host & lower).
◉ Host TF block: Compare current ↑/↓/Δ against their SMAs.
◉ Segments: Contrast C→B vs B→A deltas to gauge momentum change.
◉ Wings: Right‑wing color/angle = now; left wing = recent origin.
◉ α / β: Look for α > 180° or β < 180° as imbalance cues.
◉ OB/OS: Note labels, color (red/teal), and the vote count.
◉Top3: Keep B1 (resistance) and S1 (support) on your radar.
Use these together to sketch scenarios and invalidation levels; never rely on a single signal in isolation.
[ 7) Example Highlights (What the table conveys) /i]
◉ Row 1 shows the indicator name, the analysis length P (default 55), and both TFs used for computation and display.
◉ B1 / S1 blocks summarize each side’s peak within the window, with Δ indicating buyer/seller dominance at that peak and inline price (B1 High / S1 Low) for actionable levels.
◉ Angle cells for each wing report the top/bottom line angles vs. the horizontal, reflecting the directional posture.
◉ Ranks B2/B3 and S2/S3 extend context beyond the top peak on each side.
◉ α / β cells quantify the orientation gap at B; changes reflect shifting buyer/seller influence on trend strength.
Together these visuals often reveal whether the “wings” resemble a strong, upward‑tilted arm supported by buyer volume—but always corroborate with your broader toolkit
8) Practical Tips & Tuning
◉ Choose P by market structure. For daily charts, 34–89 bars often works well.
◉ Lower TF choice: Thin symbols → 5–15m; liquid symbols → 1m.
◉ Near‑zero angle: In noisy markets, consider 5–7° instead of 3°.
◉ OB/OS votes: Daily charts often work with 3–4 votes; lower TFs may prefer 4–5.
◉ Zone thickness: Tie B1/S1 zone thickness to ATR so it scales with volatility.
◉ Colors: Feel free to theme the primary/negative colors; keep Δ<0 mapped to the negative color for readability.
Combine with price action: Use this indicator alongside structure, trendlines, and other tools for stronger decisions.
Technical Notes
Pine Script v6.
◉ Up/Down split via TradingView/ta library call requestUpAndDownVolume(lowerTf).
◉ HUD‑first design; drawings for Wings/αβ/OBOS/Top3 align with the same sign/threshold logic used in the table.
Disclaimer: This indicator is provided solely for educational and analytical purposes. It does not constitute financial advice, nor is it a recommendation to buy or sell any security. Always conduct your own research and use multiple tools before making trading decisions.