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
Search in scripts for "蔚山现代vs川崎前锋"
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.
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.
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.
VWAP with period (rajib127)VWAP with Adjustable Period (rajib127)
This advanced VWAP (Volume Weighted Average Price) indicator offers enhanced functionality with customizable anchor periods and multiple standard deviation bands.
Key Features:
Adjustable Anchor Period: Unlike standard VWAP that resets daily, this indicator allows you to set custom anchor timeframes (Daily, Weekly, Monthly) to match your trading strategy
Multiple Deviation Bands: Display up to 3 sets of bands with customizable multipliers for better support/resistance identification
Dual Calculation Modes: Choose between Standard Deviation or Percentage-based band calculations
Flexible Price Sources: Select from 7 different price calculation methods (Typical, Close, High, Low, Median, Weighted, Open)
Timeframe Visibility Control: Option to hide VWAP on higher timeframes (Daily and above) for cleaner charts
Visual Enhancements: Color-coded bands with fill areas and real-time value display table
Trading Applications:
Identify dynamic support and resistance levels
Spot mean reversion opportunities when price deviates from bands
Use different anchor periods for swing trading vs day trading strategies
Combine with other indicators for confluence-based entries
Unique Advantage:
The ability to adjust the VWAP reset period makes this indicator versatile for various trading styles - from intraday scalping with hourly resets to swing trading with weekly anchors.
Perfect for traders who want more control over their VWAP analysis beyond the standard daily reset limitation.
Sweep2Trade Pro [CHE]Sweep2Trade Pro \ — Liquidity Sweep → Trend → Confirmation
Sweep2Trade Pro \ helps you catch high-probability reversals or continuations that start with a liquidity sweep, align with the T3 trend, and finalize with a structure confirmation (BOS). It’s designed to reduce noise, time your entries, and keep you out of weak, chop-driven signals.
What’s a “sweep”?
A liquidity sweep happens when price briefly breaks a prior swing high/low (where many stops sit), triggers those stops, and then snaps back. This “stop-hunt” creates liquidity for bigger players and often precedes a sharp move in the opposite direction if the break fails, or fuels continuation if structure actually shifts.
What’s a BOS (Break of Structure)?
A BOS is a price action event where the market takes out a recent swing level in the trend’s direction, signaling continuation and confirming that structure has shifted (bullish BOS through a recent swing high, bearish BOS through a recent swing low).
How the indicator works (at a glance)
1. Regime Filter (T3 + R²)
T3 Moving Average: A smoother, faster-responding moving average that aims to reduce lag while filtering noise, so trend direction changes are clearer.
R² (Coefficient of Determination): Measures how “linear” the recent price path is (0→1). Higher values = stronger, cleaner trend; lower values = more chop. Used here to allow trades only when trend quality exceeds a user-set threshold.
2. Sweep Detection
Bullish sweep: price pokes below a prior swing low and closes back above it.
Bearish sweep: price pokes above a prior swing high and closes back below it.
Lookback length is configurable.
3. Sequence Lock (built-in FSM)
The script manages state in phases so you don’t jump the gun:
Phase 1: Sweep detected → wait for T3 to turn in the corresponding direction.
Phase 2: T3 direction confirmed → show “SWEEP OK” and wait for final confirmation.
Trade Signal: Only fires if confirmation arrives before a timeout.
4. Confirmation Layer
BOS via wick or close (you choose),
Strong close toward the signal (top/bottom quartile of the candle),
Optional “close above/below T3” condition.
These checks help avoid weak sweeps that immediately fade.
5. Alerts & Visuals
“SWEEP OK” markers show when the sweep + T3 direction align.
Final BUY/SELL arrows appear only when the confirmation layer passes.
Ready-made alert conditions for automation.
What you can do with it
Time reversals after sweeps: Enter when a stop-hunt fades and structure confirms.
Ride continuations: Use BOS with the T3 trend to pyramid or re-enter with structure on your side.
Filter chop: Let R² gate entries to periods with cleaner directional drift.
Automate: Use the included alerts with your platform or webhook setup.
Inputs (key settings)
Regime Filter
T3 Length / Volume Factor: Controls smoothness and responsiveness. Smaller length → faster, more sensitive; higher volume factor → smoother curve.
R² Lookback & Threshold: Length of the linear fit window and the minimum “trend quality” required. Higher thresholds mean fewer, cleaner signals.
Sweep / Sequence
Swing Lookback: How far back to define the “reference” high/low for sweeps.
Timeout: Maximum bars allowed between phases to keep signals fresh.
Restart timeout on Phase 2: Optional safety so entries don’t go stale.
Confirmation
BOS Lookback: Micro-pivot window for structure breaks.
Wick vs Close BOS: Conservative traders may prefer close.
Require close above/below T3: Tightens confirmation with trend alignment.
Practical guide (quick start)
1. Timeframe & markets: Works across majors, indices, and crypto. Start with 5m–1h intraday or 1h–4h swing; adjust R² threshold upward on noisier pairs.
2. Entry recipe (Long):
Bullish sweep of a prior low → T3 turns up → BOS/strong close.
Optional: enable “close above T3” for extra confirmation.
3. Entry recipe (Short): Mirror the above.
4. Stops: Common choices are just beyond the sweep wick (tighter) or past the BOS invalidation (safer).
5. Targets: Previous structural levels, measured move, or a T3 trail (exit when price closes back through T3).
6. Avoid low-quality contexts: If R² is very low, market is likely ranging erratically—skip or widen filters.
Tips & best practices
Context first: The same sweep means different things in a strong trend vs. flat regime; that’s why the T3+R² filter exists.
BOS choice: Wick-based BOS is earlier but noisier; close-based BOS is slower but cleaner. Tune per market.
Backtest -> Forward test: Validate settings per symbol/timeframe; then paper trade before going live.
Risk: Fixed fractional risk with asymmetric R\:R (e.g., 1:1.5–1:3) generally performs better than “all-in” discretionary sizing.
Behind the scenes (for the curious)
T3 is a multi-stage EMA construction that produces a smooth curve with reduced lag versus simple/standard EMAs.
R² is the square of correlation (0–1). Here it’s used as a moving gauge of how well price aligns to a linear path—our “trend quality” dial.
Stop-hunts / sweeps are a recognized microstructure phenomenon where clustered stops provide the liquidity that fuels the next move.
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
Sabina's TRAMA Crossover MTF📊 Sabina's TRAMA Crossover MTF
Trend Regularity Adaptive Moving Average (TRAMA) is a dynamic smoothing algorithm that adjusts based on trend consistency. Unlike traditional moving averages like EMA or SMA, TRAMA speeds up in strong trends and slows down during consolidation, reducing noise and lag.
This script plots two TRAMA lines (short and long) and dynamically colors them based on crossover direction:
🟢 Green: Bullish crossover (short TRAMA crosses above long TRAMA)
🔴 Red: Bearish crossover (short TRAMA crosses below long TRAMA)
✅ Multi-Timeframe Enabled
You can run the indicator on your current chart while calculating TRAMA from any higher or lower timeframe. This gives you flexibility to track trend strength across different contexts.
Use cases:
Trend-following entries with adaptive confirmation
Scalping with higher-timeframe filters
Visual clarity of market regime (consolidation vs expansion)
Pivot Distance Strategy# Multi-Timeframe Pivot Distance Strategy
## Core Innovation & Originality
This strategy revolutionizes moving average crossover trading by applying MA logic to **pivot distance relationships** instead of raw price data. Unlike traditional MA crossovers that react to price changes, this system reacts to **structural momentum changes** in how current price relates to recent significant pivot levels, creating earlier signals with fewer false positives.
## Methodology & Mathematical Foundation
### Pivot Distance Oscillator
The strategy calculates:
- **High Pivot Percentage**: (Current Close / Last Pivot High) × 100
- **Low Pivot Percentage**: (Last Pivot Low / Current Close) × 100
- **Pivot Distance**: High Pivot Percentage - Low Pivot Percentage
This creates a standardized oscillator measuring market structure compression/expansion regardless of asset price or volatility.
### Multi-Timeframe Filter
Higher timeframe analysis provides directional bias:
- **HTF Long** → Allow long entries, force short exits
- **HTF Short** → Allow short entries, force long exits
- **HTF Squeeze** → Block all entries, force all exits
## Signal Generation Methods
### Method 1: Dual MA Crossover (Primary/Default)
**Fast MA (14 EMA)** and **Slow MA (50 SMA)** applied to pivot distance values:
- **Long Signal**: Fast MA crosses above Slow MA (accelerating bullish pivot momentum)
- **Short Signal**: Fast MA crosses below Slow MA (accelerating bearish pivot momentum)
**Key Advantage**:
- Traditional: Fast MA(price) crosses Slow MA(price) - reacts to price changes
- This Strategy: Fast MA(pivot distance) crosses Slow MA(pivot distance) - reacts to structural changes
- Result: Earlier signals, better trend identification, fewer ranging market whipsaws
### Method 2: MA Cross Zero
- **Long**: Pivot Distance MA crosses above zero
- **Short**: Pivot Distance MA crosses below zero
### Method 3: Pivot Distance Breakout (Squeeze-Based)
Uses dynamic threshold envelopes to detect compression/expansion cycles:
- **Long**: Distance breaks above dynamic breakout threshold after squeeze
- **Short**: Distance breaks below negative breakout threshold after squeeze
**Note**: Only the Breakout method uses threshold envelopes; MA Cross modes operate without them for cleaner signals.
## Risk Management Integration
- **ATR-Based Stops**: Entry ± (ATR × Multiplier) for stops/targets
- **Trailing Stops**: Dynamic adjustment based on profit thresholds
- **Cooldown System**: Prevents overtrading after stop-loss exits
## How to Use
### Setup (Default: MA Cross MA)
1. **Strategy Logic**: "MA Cross MA" for structural momentum signals
2. **MA Settings**: 14 EMA (fast) / 50 SMA (slow) - both adjustable
3. **Multi-Timeframe**: Enable HTF for trend alignment
4. **Risk Management**: ATR stop loss, ATR take profit
### Signal Interpretation
- **Blue/Purple lines**: Fast/Slow MAs of pivot distance
- **Green/Red histogram**: Positive/negative pivot distance
- **Triangle markers**: MA crossover entry signals
- **HTF display**: Shows higher timeframe bias (top-left)
### Trade Management
- **Entry**: Clean MA crossover with HTF alignment
- **Exit**: Opposite crossover, HTF change, or risk management triggers
## Unique Advantages
1. **Structural vs Price Momentum**: Captures market structure changes rather than just price movement, naturally filtering noise
2. **Multi-Modal Flexibility**: Three signal methods for different market conditions or strategies
3. **Timeframe Alignment**: HTF filtering improves win rates by preventing counter-trend trades
BOS FVG IndicatorBOS FVG Indicator (Smart Market Structure Tool)
🔎 Overview
The BOS FVG Indicator is a smart price-action–based tool that combines Break of Structure (BOS), Change of Character (CHoCH), Fair Value Gaps (FVG), Supertrend, and ADX strength into one powerful indicator.
It helps traders identify market structure shifts, imbalances, and high-probability trade setups while also highlighting no-trade zones (NTZ) where the market is choppy or lacks trend strength.
This indicator is designed for intraday and swing traders who follow ICT-style concepts or price-action based trading.
⚡ Key Features
Break of Structure (BOS) & CHoCH Detection
Labels bullish BOS (📈 BOS↑) and bearish BOS (📉 BOS↓).
Highlights structure shifts for trend confirmation.
Fair Value Gaps (FVG)
Auto-detects bullish and bearish FVGs.
Draws transparent boxes with labels where imbalances appear.
Supertrend Confirmation
Adaptive supertrend line with dynamic coloring (green = bullish, red = bearish).
No Trade Zone (NTZ)
Automatically shades background gray when ADX is weak or no BOS detected.
Helps avoid false signals in sideways/choppy markets.
Multi-Timeframe Context
Previous 4H candle range plotted as a dotted yellow box.
Useful for intraday traders tracking HTF liquidity zones.
Signal Strength
Regular and Strong Buy/Sell signals based on ADX confirmation.
Labels include entry info, RR (2:1), and trend strength.
Market Info Dashboard
Table on chart showing ADX strength, current trend, and trade zone status.
🛠 How to Use
Add to Chart → Apply the indicator to any timeframe (works best on 5m–1H for intraday, 4H–Daily for swing).
Choose Mode
Indicator Mode → Shows visual signals, BOS, FVG, NTZ zones, and dashboard.
Strategy Mode → Displays trade entry labels with RR info for backtesting setups.
Filters
Only trade signals when ADX > threshold and NTZ is inactive.
Confirm with Supertrend direction + BOS + FVG alignment.
Entries & Exits
Long Entry → Bullish BOS + Bullish FVG + Trend bullish.
Short Entry → Bearish BOS + Bearish FVG + Trend bearish.
Stop Loss: Recent swing high/low.
Take Profit: Auto-suggested 2:1 RR.
🔔 Alerts
Set alerts to never miss key signals:
✅ Bullish / Bearish BOS
✅ Bullish / Bearish FVG
✅ Strong Buy / Sell
✅ Regular Buy / Sell
✅ Long / Short Entries
✅ No Trade Zone active
Alerts are pre-configured with clear messages (📈, 📉, 🚀, 🟢, 🔴, ⚪).
📌 Best Use Cases
ICT-style liquidity and FVG traders.
Intraday traders filtering strong vs weak signals.
Swing traders using multi-timeframe confirmation.
Traders who want an all-in-one market structure toolkit.
👉 This script is not financial advice. Always backtest before using in live markets.
T-Virus Sentiment [hapharmonic]🧬 T-Virus Sentiment: Visualize the Market's DNA
Remember the iconic T-Virus vial from the first Resident Evil? That powerful, swirling helix of potential has always fascinated me. It sparked an idea: what if we could visualize the market's underlying health in a similar way? What if we could capture the "genetic code" of market sentiment and contain it within a dynamic, 3D indicator? This project is the result of that idea, brought to life with Pine Script.
The indicator's main goal is to measure the strength and direction of market sentiment by analyzing the "genetic code" of price action through a variety of trusted indicators. The result is displayed as a liquid level within a DNA helix, a bubble density representing buying pressure, and a T-Virus mascot that reflects the overall mood.
🧐 Core Concept: How It Works
The primary output of the indicator is the "Active %" gauge you see on the right side of the vial. This percentage represents the overall sentiment score, calculated as an average from 7 different technical analysis tools. Each tool is analyzed on every bar and assigned a score from 1 (strong bearish pressure) to 5 (strong bullish potential).
In this indicator, we re-imagine market dynamics through the lens of a viral outbreak. A strong bear market is like a virus taking hold, pulling all technical signals down into a state of weakness. Conversely, a powerful bull market is like an antiviral serum ; positive signals rise and spread toward the top of the vial, indicating that the system is being injected with strength.
This is not just another line on a chart. It's a comprehensive sentiment dashboard designed to give an immediate, at-a-glance understanding of the confluence between 7 classic technical indicators. The incredible 3D model of the vial itself was inspired by a design concept found here .
⚛️ The 4 Core Elements of T-Virus Sentiment
These four elements work in harmony to give a complete, multi-faceted picture of market sentiment. Each component tells a different part of the story.
The Virus Mascot: An instant emotional cue. This character provides the quickest possible read on the overall market mood, combining sentiment with volume pressure.
The Antiviral Serum Level: The main quantitative output. This is the liquid level in the DNA helix and the percentage gauge on the right, representing the average sentiment score from all 7 indicators.
Buy Pressure & Bubble Density: This visualizes volume flow. The density of bubbles represents the intensity of accumulation (buying) versus distribution (selling). It's the "power" behind the move.
The Signal Distribution: This shows the confluence (or dispersion) of sentiment. Are all signals bullish and clustered at the top, or are they scattered, indicating a conflicted market? The position of the indicator labels is crucial, as each is assigned to one of five distinct zones:
Base Bottom: The market is at its weakest. Signals here suggest strong bearish control and distribution.
Lower Zone: The market is still bearish, but signals may be showing early signs of accumulation or bottoming.
Neutral Core (Center): A state of balance or sideways consolidation. The market is waiting for a new direction.
Upper Zone: Bullish momentum is becoming clear. Signals are strengthening and showing bullish control.
Top Cap: The market is "heating up" with strong bullish sentiment, potentially nearing overbought conditions.
🐂🐻 The Virus Mascot: The At-a-Glance Indicator
This character acts as a shortcut to confirm market health. It combines the sentiment score with volume, preventing false confidence in a low-volume rally.
Its state is determined by a dual-check: the overall "Antiviral Serum Level" and the "Buy Pressure" must both be above 50%.
Green & Smiling: The 'all clear' signal. This means that not only is the overall technical sentiment bullish, but it's also being supported by real buying pressure. This is a sign of a healthy bull market.
Red & Angry: A warning sign. This appears if either the sentiment is weak, or a bullish sentiment is not being confirmed by buying volume. The latter could indicate a potential "bull trap" or an exhaustive move.
This mascot can be disabled from the settings page under "Virus Mascot Styling" if a cleaner look is preferred.
🫧 Bubble Density: Gauging Buy vs. Sell Pressure
The bubbles visualize the battle between buyers and sellers. There are two modes to control how this is calculated:
Mode 1: Visible Range (The 'Big Picture' View)
This default mode is best for getting a broad, contextual understanding of the current session. It dynamically analyzes the volume of every single candlestick currently visible on the screen to calculate the buy/sell pressure ratio. It answers the question: "Over the entire period I'm looking at, who is in control?" As you zoom in or out, the calculation adapts.
Mode 2: Custom Lookback (The 'Precision' View)
This mode is for traders who need to analyze short-term pressure. You can define a fixed number of recent bars to analyze, which is perfect for scalping or understanding the volume dynamics leading into a key level. It answers the question: "What is happening right now ?" In the example above, a lookback of 2 focuses only on the most recent action, clearly showing intense, immediate selling pressure (few bubbles) and a corresponding drop in the sentiment score to 29%.
ℹ️ Interactive Tooltips: Dive Deeper
We believe in transparency, not 'black box' indicators. This feature transforms the indicator from a visual aid into an active learning tool.
Simply hover the mouse over any indicator label (like EMA, OBV, etc.) to get a detailed tooltip. It will explain the specific data points and thresholds that signal met to be placed in its current zone. This helps build trust in the signals and allows users to fine-tune the indicator settings to better match their own trading style.
🎯 The Scoring Logic Breakdown
The "Antiviral Serum Level" gauge is the average score from 7 technical analysis tools. Each is graded on a 5-point scale (1=Strong Bearish to 5=Strong Bullish). Here’s a detailed, transparent look at how each "gene" is evaluated:
Relative Strength Index (RSI)
Measures momentum and overbought/oversold conditions.
Group 1 (Strong Bearish): RSI > 80 (Extreme Overbought)
Group 2 (Bearish): 70 < RSI ≤ 80 (Overbought)
Group 3 (Neutral): 30 ≤ RSI ≤ 70
Group 4 (Bullish): 20 ≤ RSI < 30 (Oversold)
Group 5 (Strong Bullish): RSI < 20 (Extreme Oversold)
Exponential Moving Averages (EMA)
Evaluates the trend's strength and structure based on the alignment of multiple EMAs (9, 21, 50, 100, 200, 250).
Group 1 (Strong Bearish): A perfect bearish sequence (9 < 21 < 50 < ...)
Group 2 (Bearish Transition): Early signs of a potential reversal (e.g., 9 > 21 but still below 50)
Group 3 (Neutral / Mixed): MAs are intertwined or showing a partial bullish sequence.
Group 4 (Bullish): A strong bullish sequence is forming (e.g., 9 > 21 > 50 > 100)
Group 5 (Strong Bullish): A perfect bullish sequence (9 > 21 > 50 > 100 > 200 > 250)
Moving Average Convergence Divergence (MACD)
Analyzes the relationship between two moving averages to gauge momentum.
Group 1 (Strong Bearish): MACD & Histogram are negative and momentum is falling.
Group 2 (Weakening Bearish): MACD is negative but the histogram is rising or positive.
Group 3 (Neutral / Crossover): A crossover event is occurring near the zero line.
Group 4 (Bullish): MACD & Histogram are positive.
Group 5 (Strong Bullish): MACD & Histogram are positive, rising strongly, and accelerating.
Average Directional Index (ADX)
Measures trend strength, not direction. The score is based on both ADX value and the dominance of DI+ vs DI-.
Group 1 (Bearish / No Trend): ADX < 20 and DI- is dominant.
Group 2 (Developing Bearish Trend): 20 ≤ ADX < 25 and DI- is dominant.
Group 3 (Neutral / Indecision): Trend is weak or DI+ and DI- are nearly equal.
Group 4 (Developing Bullish Trend): 25 ≤ ADX ≤ 40 and DI+ is dominant.
Group 5 (Strong Bullish Trend): ADX > 40 and DI+ is dominant.
Ichimoku Cloud (IKH)
A comprehensive indicator that defines support/resistance, momentum, and trend direction.
Group 1 (Strong Bearish): Price is below the Kumo, Tenkan < Kijun, and Chikou is below price.
Group 2 (Bearish): Price is inside or below the Kumo, with mixed secondary signals.
Group 3 (Neutral / Ranging): Price is inside the Kumo, often with a Tenkan/Kijun cross.
Group 4 (Bullish): Price is above the Kumo with strong primary signals.
Group 5 (Strong Bullish): All signals are aligned bullishly: price above Kumo, bullish Tenkan/Kijun cross, bullish future Kumo, and Chikou above price.
Bollinger Bands (BB)
Measures volatility and relative price levels.
Group 1 (Strong Bearish): Price is below the lower band.
Group 2 (Bearish Territory): Price is between the lower band and the basis line.
Group 3 (Neutral): Price is hovering around the basis line.
Group 4 (Bullish Territory): Price is between the basis line and the upper band.
Group 5 (Strong Bullish): Price is above the upper band.
On-Balance Volume (OBV)
Uses volume flow to predict price changes. The score is based on OBV's trend and its position relative to its moving average.
Group 1 (Strong Bearish): OBV is below its MA and falling.
Group 2 (Weakening Bearish): OBV is below its MA but showing signs of rising.
Group 3 (Neutral): OBV is very close to its MA.
Group 4 (Bullish): OBV is above its MA and rising.
Group 5 (Strong Bullish): OBV is above its MA, rising strongly, and showing signs of a volume spike.
🧭 How to Use the T-Virus Sentiment Indicator
IMPORTANT: This indicator is a sentiment dashboard , not a direct buy/sell signal generator. Its strength lies in showing confluence and providing a quick, holistic view of the market's technical health.
Confirmation Tool: Use the "Active %" gauge to confirm a trade setup from your primary strategy. For example, if you see a bullish chart pattern, a high and rising sentiment score can add confidence to your trade.
Momentum & Trend Gauge: A consistently high score (e.g., > 75%) suggests strong, established bullish momentum. A consistently low score (< 25%) suggests strong bearish control. A score hovering around 50% often indicates a ranging or indecisive market.
Divergence & Warning System: Pay attention to divergences. If the price is making new highs but the sentiment score is failing to follow or is actively decreasing, it could be an early warning sign that the underlying momentum is weakening.
⚙️ Settings & Customization
The indicator is highly customizable to fit any trading style.
Position & Anchor: Control where the vial appears on the chart.
Styling (Vial, Helix, etc.): Nearly every visual element can be color-customized.
Signals: This is where the real power is. All underlying indicator parameters (RSI length, MACD settings, etc.) can be fine-tuned to match a personal strategy. The text labels can also be disabled if the chart feels cluttered.
Enjoy visualizing the market's DNA with the T-Virus Sentiment indicator
FUMO MA Cross Matrix 9/21/50/100/200 FUMO MA Cross Matrix is a flexible and advanced indicator designed for traders who rely on moving average crossovers as part of their strategy.
🔹 Key Features:
Supports 5 types of Moving Averages: EMA, SMA, SMMA (RMA), WMA, HMA.
Includes 5 standard MAs: 9, 21, 50, 100, 200 (toggle on/off individually).
Choose which MA crosses to monitor (9×21, 21×50, 50×100, 100×200, and 6 extended combinations).
On-chart signals (labels) when crosses occur.
Alerts system for every selected cross and also summary alerts (“Any Cross Up/Down”).
Option to trigger signals only on confirmed bars (no repaint).
Fully adjustable label visibility and signal style.
🔹 Use Cases:
Detect trend shifts (short-term vs long-term).
Build scalping, swing, or position trading strategies.
Combine with price action or volume analysis for stronger setups.
Quickly react to Golden Cross and Death Cross events.
🔹 How to Use:
Select your preferred MA type (EMA, SMA, etc.).
Enable the MAs (9, 21, 50, 100, 200) you want to plot.
Choose which crossovers to track in the settings.
Enable/disable on-chart labels for better visualization.
Set up alerts:
“CROSS UP/DOWN X>Y” for specific pairs.
“ANY CROSS UP/DOWN” for aggregated signals.
📌 Example Alerts
MA Cross UP 9>21 on BTCUSDT 15m @ 65432
Any selected MA cross DOWN on AAPL 1D @ 195.2
Bitcoin cme gap indicators, BINANCE vs CME exchanges premium gap
# CME BTC Premium Indicator Documentation CME:BTC1!
## 1. Overview
Indicator Name: CME BTC Premium
Platform: TradingView (Pine Script v6)
Type: Premium / Gap Analysis
Purpose:
* Visualize the CME BTC futures premium/discount relative to Binance BTCUSDT spot price.
* Detect gap-up or gap-down events on the daily chart.
* Assess short-term market sentiment and potential volatility through price discrepancies.
## 2. Key Features
1. CME Premium Calculation
* Formula:
CME Premium(%) = ((CME Price - Binance Price) / Binance Price) X 100
* Positive premium: CME futures are higher than spot → Color: Blue
* Negative premium: CME futures are lower than spot → Color: Purple
2. Premium Visualization Options
* `Column` (default)
* `Line`
3. Daily Gap Detection (Daily Chart Only)
* Gap Up: CME open > previous high × 1.0001 (≥ 0.01%)
* Gap Down: CME open < previous low × 0.9999 (≤ 0.01%)
* Visualization:
* Bar Color:
* Gap Up → Yellow (semi-transparent)
* Gap Down → Blue (semi-transparent)
* Background Color:
* Gap Up → Yellow (semi-transparent)
* Gap Down → Blue (semi-transparent)
4. Label Display
* If `Show CME Label` is enabled, the last bar displays a premium percentage label.
* Label color matches premium color; text color: Black.
* Style: `style_label_upper_left`, Size: `small`.
## 3. User Inputs
| Option Name | Description | Type / Default |
| -------------- | ------------------------- | --------------------------------------- |
| Show CME Label | Display CME premium label | Boolean / true |
| CME Plot Type | CME premium chart style | String / Column (Options: Column, Line) |
## 4. Data Sources
| Data Item | Symbol | Description |
| ------------- | ---------------- | ----------------------------- |
| Binance Price | BINANCE\:BTCUSDT | Spot BTC price |
| CME Price | CME\:BTC1! | CME BTC futures closing price |
| CME Open | CME\:BTC1! | CME BTC futures open price |
| CME Low | CME\:BTC1! | CME BTC futures low price |
| CME High | CME\:BTC1! | CME BTC futures high price |
## 5. Chart Display
1. Premium Column/Line
* Displays the CME premium percentage in real-time.
* Color: Premium ≥ 0 → Blue, Premium < 0 → Purple
2. Zero Line
* Indicates CME futures are at parity with spot for quick visual reference.
3. Gap Highlight
* Applied only on daily charts.
* Gap-up or gap-down is highlighted using bar and background colors.
4. Label
* Shows the latest CME premium percentage for quick monitoring.
## 6. Use Cases
* Analyze spot-futures premium to gauge CME market sentiment.
* Identify short-term volatility and potential trend reversals through daily gaps.
* Combine premium and gap analysis to support altcoin trend analysis and position strategy.
## 7. Limitations
* This indicator does not provide investment advice or trading recommendations; it is for informational purposes only.
* Data delays, API restrictions, or exchange differences may result in calculation discrepancies.
* Gap detection is meaningful only on daily charts; other timeframes may not provide valid signals.
RTH Levels: VWAP + PDH/PDL + ONH/ONL + IBAlgo Index — Levels Pro (ONH/ONL • PDH/PDL • VWAP±Bands • IB • Gaps)
Purpose. A session-aware, non-repainting levels tool for intraday decision-making. Designed for futures and indices, with clean visuals, alerts, and a one-click Minimal Mode for screenshot-ready charts.
What it plots
• PDH/PDL (RTH-only) – Prior Regular Trading Hours high/low, computed intraday and frozen at the RTH close (no 24h mix-ups, no repainting).
• ONH/ONL – Prior Overnight high/low, held throughout RTH.
• RTH VWAP with ±σ bands – Volume-weighted variance, reset each RTH.
• Initial Balance (IB) – First N minutes of RTH, plus 1.5× / 2.0× extensions after IB completes.
• Today’s RTH Open & Prior RTH Close – With gap detection and “gap filled” alert.
• Killzone shading – NY Open (09:30–10:30 ET) and Lunch (11:15–13:30 ET).
• Values panel (top-right) – Each level with live distance in points & ticks.
• Right-edge level tags – With anti-overlap (stagger + vertical jitter).
• Price-scale tags – Native trackprice markers that always “stick” to the axis.
⸻
New in v6.4
• Minimal Mode: one click for a clean look (thinner lines, VWAP bands/IB extensions hidden, on-chart right-edge labels off; price-scale tags remain).
• Theme presets: Dark Hi-Contrast / Light Minimal / Futures Classic / Muted Dark.
• Anti-overlap controls: horizontal staggering, vertical jitter, and baseline offset to keep tags readable even when levels cluster.
⸻
Quick start (2 minutes)
1. Add to chart → keep defaults.
2. Sessions (ET):
• RTH Session default: 09:30–16:00 (US equities cash hours).
• Overnight Session default: 18:00–09:29.
Adjust for your market if you use different “day” hours (e.g., many use 08:20–13:30 ET for COMEX Gold).
3. Theme & Minimal Mode: pick a Theme Preset; enable Minimal Mode for screenshots.
4. Visibility: toggle PD/ON/VWAP/IB/References/Panel to taste.
5. Right-edge labels: turn Show Right-Edge Labels on. If they crowd, tune:
• Anti-overlap: min separation (ticks)
• Horizontal offset per tag (bars)
• Vertical jitter per step (ticks)
• Right-edge baseline offset (bars)
6. Alerts: open Add alert → Condition: and pick the events you want.
⸻
How levels are computed (no repainting)
• PDH/PDL: Intraday H/L are accumulated only while in RTH and saved at RTH close for “yesterday’s” values.
• ONH/ONL: Accumulated across the defined Overnight window and then held during RTH.
• RTH VWAP & ±σ: Volume-weighted mean and standard deviation, reset at the RTH open.
• IB: First N minutes of RTH (default 60). Extensions (1.5×/2.0×) appear after IB completes.
• Gaps: Today’s RTH open vs prior RTH close; “Gap Filled” triggers when price trades back to prior close.
⸻
Practical playbooks (how to trade around the levels)
1) PDH/PDL interactions
• Rejection: Price taps PDH/PDL then closes back inside → mean-reversion toward VWAP/IB.
• Acceptance: Close/hold beyond PDH/PDL with momentum → continuation to next HTF/IB target.
• Alert: PD Touch/Break.
2) ONH/ONL “taken”
• Often one ON extreme is taken during RTH. ONH Taken / ONL Taken → check if it’s a clean break or sweep & reclaim.
• Sweep + reclaim near VWAP can fuel rotations through the ON range.
3) VWAP ±σ framework
• Balanced: First tag of ±1σ often reverts toward VWAP.
• Trend: Persistent trade beyond ±1σ + IB break → target ±2σ/±3σ.
• Alerts: VWAP Cross and VWAP Reject (cross then immediate fail back).
4) IB breaks
• After IB completes, a clean IB break commonly targets 1.5× and sometimes 2.0×.
• Quick return inside IB = possible fade back to the opposite IB edge/VWAP.
• Alerts: IB Break Up / Down.
5) Gaps
• Gap-and-go: Opening drive away from prior close + VWAP support → trend until IB completion.
• Gap-fill: Weak open and VWAP overhead/underfoot → trade toward prior close; manage on Gap Filled alert.
Pro tip: Stack confluences (e.g., ONL sweep + VWAP reclaim + IB hold) and respect your execution rules (e.g., require a 5-minute close in direction, or your order-flow confirmation).
⸻
Inputs you’ll actually touch
• Sessions (ET): Session Timezone, RTH Session, Overnight Session.
• Visibility: toggles for PD/ON/VWAP/IB/Ref/Panel.
• VWAP bands: set σ multipliers (±1/±2/±3).
• IB: duration (minutes) and extension multipliers (1.5× / 2.0×).
• Style & Theme: Theme Preset, Main Line Width, Trackprice, Minimal Mode, and anti-overlap controls.
⸻
Alerts included
• PD Touch/Break — High ≥ PDH or Low ≤ PDL
• ONH Taken / ONL Taken — First in-RTH take of ONH/ONL
• VWAP Cross — Close crosses VWAP
• VWAP Reject — Cross then immediate fail back
• IB Break Up / Down — Break of IB High/Low after IB completes
• Gap Filled — Price trades back to prior RTH close
Setup: Add alert → Condition: Algo Index — Levels Pro → choose event → message → Notify on app/email.
⸻
Panel guide
The top-right panel shows each level plus live distance from last price:
LevelValue (Δpoints | Δticks)
Coloring: green if level is below current price, red if above.
⸻
Styling & screenshot tips
• Use Theme Preset that matches your chart.
• For dark charts, “Dark Hi-Contrast” with Main Line Width = 3 works well.
• Enable Trackprice for crisp axis tags that always stick to the right edge.
• Turn on Minimal Mode for cleaner screenshots (no VWAP bands or IB extensions, on-chart tags off; price-scale tags remain).
• If tags crowd, increase min separation (ticks) to 30–60 and horizontal offset to 3–5; add vertical jitter (4–12 ticks) and/or push tags farther right with baseline offset (bars).
⸻
Behavior & limitations
• Levels are computed incrementally; tables refresh on the last bar for efficiency.
• Right-edge labels are placed at bar_index + offset and do not track extra right-margin scrolling (TradingView limitation). The price-scale tags (from trackprice) do track the axis.
• “RTH” is what you define in inputs. If your market uses different day hours, change the session strings so PDH/PDL reflect your definition of “yesterday’s session.”
⸻
FAQ
Q: My PDH/PDL don’t match the daily chart.
A: By design this uses RTH-only highs/lows, not 24h daily bars. Adjust sessions if you want a different definition.
Q: Right-edge tags overlap or don’t sit at the far right.
A: Increase min separation / horizontal offset / vertical jitter and/or push tags farther with baseline offset. If you want markers that always hug the axis, rely on Trackprice.
Q: Can I change killzones?
A: Yes—edit the session strings in settings or request a version with user inputs for custom windows.
⸻
Disclaimer
Educational use only. This is not financial advice. Always apply your own risk management and confirmation rules.
⸻
Enjoy it? Please ⭐ the script and share screenshots using Minimal Mode + a Theme Preset that fits your style.
