AI Oversold Swing - Screener//@version=5
indicator("AI Oversold Swing - Screener", overlay=false)
// ─────────────────────────
// USER INPUTS
// ─────────────────────────
maxPrice = input.float(75.0, "Max Price ($)")
rsiLen = input.int(14, "RSI Length")
rsiOversold = input.float(35.0, "RSI Oversold Level")
bbLen = input.int(20, "BB Length")
bbMult = input.float(2.0, "BB StdDev")
supportLen = input.int(20, "Support Lookback (days)")
nearSupportPct = input.float(1.5, "Near Support %")
undercutPct = input.float(0.5, "Allowed Undercut %")
atrLen = input.int(14, "ATR Length")
maxATRfromSup = input.float(1.0, "Max ATR From Support")
minDollarVol = input.float(75000000.0, "Min Dollar Volume", step=1000000)
requireTrigger = input.bool(false, "Require Reversal Trigger")
// ─────────────────────────
// DAILY DATA (screener uses indicator outputs)
// ─────────────────────────
dClose = request.security(syminfo.tickerid, "D", close)
dLow = request.security(syminfo.tickerid, "D", low)
dVol = request.security(syminfo.tickerid, "D", volume)
dPrevC = request.security(syminfo.tickerid, "D", close )
// ─────────────────────────
// INDICATORS
// ─────────────────────────
rsi = ta.rsi(dClose, rsiLen)
basis = ta.sma(dClose, bbLen)
dev = bbMult * ta.stdev(dClose, bbLen)
bbLow = basis - dev
atr = request.security(syminfo.tickerid, "D", ta.atr(atrLen))
support = ta.lowest(dLow, supportLen)
distPct = support > 0 ? (dClose - support) / support * 100.0 : na
distATR = atr > 0 ? (dClose - support) / atr : na
dollarVol = dClose * dVol
// ─────────────────────────
// CONDITIONS
// ─────────────────────────
priceOK = dClose > 0 and dClose <= maxPrice
liqOK = dollarVol >= minDollarVol
oversold = (rsi <= rsiOversold) and (dClose <= bbLow)
nearSup =
support > 0 and
dClose <= support * (1 + nearSupportPct / 100.0) and
dClose >= support * (1 - undercutPct / 100.0) and
distATR <= maxATRfromSup
setup = priceOK and liqOK and oversold and nearSup
// Optional reversal confirmation
rsiReversal = ta.crossover(rsi, rsiOversold)
greenCandle = dClose > dPrevC
trigger = rsiReversal or greenCandle
signal = requireTrigger ? (setup and trigger) : setup
// ─────────────────────────
// SCREENER OUTPUTS
// ─────────────────────────
plot(signal ? 1 : 0, title="Signal (1 = YES)")
plot(rsi, title="RSI (Daily)")
plot(distPct, title="Dist to Support % (Daily)")
plot(distATR, title="Dist to Support ATR (Daily)")
plot(dollarVol, title="Dollar Volume (Daily)")
المؤشرات والاستراتيجيات
EMA 9, 20, 30, 200 (Buy Trend Filter Only)EMA 9, 20, 30, 200 (Buy Trend Filter Only) simple ema crossing analysis
First Candle Session Levels 1, 2, and 3. Please read the second paragraph, to literally find the power of 3 at each of those starting candles, (Time and space).
FIRST CANDLE SESSION LEVELS
This indicator automatically marks the high and low of the first candle from up to three customizable time periods and projects those levels forward as horizontal lines across your chart.
What It Does:
You specify a time (for example, 10:03 AM in your timezone), and the indicator captures the high and low of the first candle at that time. It then draws horizontal lines at those exact price levels that extend forward, showing you how price interacts with these levels for the rest of the day.
Why Use It:
The first candle at a specific time often sets important support and resistance levels. These levels frequently act as barriers where price bounces, breaks through for strong moves, or returns to test later. By marking these levels automatically, you can focus on trading rather than manually drawing lines.
Key Features:
Track 3 Different Times - Monitor three separate times simultaneously with independent settings for each
Adjustable Candle Count - Use just the first candle (default) or combine multiple candles (up to 60) to create a wider range
Full Customization - Each time period has its own color settings, line styles, and visual options so you can easily distinguish between them
Extends Forward - Lines project into the future so you can see when price approaches these key levels in real-time
Any Timezone - Set the timezone for each time period to match your local market or any global market
How Traders Use It:
Traders use these levels as reference points for entries and exits. Some watch for price to break above the high or below the low as signals for directional moves. Others use the high and low as boundaries for range trading. Many use these levels simply as decision points for managing their positions.
The indicator works on any timeframe and is effective on any liquid instrument where specific times are significant to your trading strategy.
Use the setting to place the first candle at these times.
1) 5:30 a.m. UK — Asia → London Transition
Purpose: Liquidity engineering
What it does:
Builds stop pools, runs Asian highs/lows, creates false breaks
Expect: Sharp probes, low follow-through
2) 8:00 a.m. UK — London Open
Purpose: Manipulation
What it does:
Expands range, traps early direction traders
Expect: Fake moves, wicks, reversals
3) 10:00 a.m. UK — True Daily Open (5:00 a.m. NY)
Purpose: Bias is revealed
What it does:
Algorithms switch to delivery, liquidity is sought with intent
Expect: Displacement, structure shift
4) 2:30 p.m. UK — NYSE Cash Open (9:30 a.m. NY)
Purpose: Volume injection
What it does:
Confirms, accelerates, or violently reverses the move
Expect: Fast candles, large ranges
5) 3:30–4:00 p.m. UK — NY Continuation / Rebalance
Purpose: Range completion
What it does:
Completes the day’s objective or rebalances positions
Expect: Continuation or profit-taking
One-line framework
Early times build liquidity → 10:00 reveals direction → 2:30 delivers power
Brahma Creation Field (SALSA Edition)
# ⭐ **1. INDICATOR TITLE**
Use a clear, branded, professional name:
### **Brahma Creation Field (BCF) — SALSA© Market Imbalance Indicator**
---
# ⭐ **2. SHORT DESCRIPTION (appears in search results)**
**Identifies Brahma Creation Fields (BCFs) using SALSA© Market Logic. A rewritten, original imbalance tool inspired by displacement zones, with Creation Strength Line (CSL), integrity breaks, and optional actionable alerts.**
---
# ⭐ **3. FULL DESCRIPTION (for the script page)**
### **TradingView-Ready**
---
## **Brahma Creation Field (BCF) — SALSA© Edition**
The **Brahma Creation Field (BCF)** Indicator is an *original* SALSA©-based imbalance model designed to identify areas where price rapidly expands with strong intent and leaves behind a “Creation Field.”
This indicator is an entirely proprietary rewrite based on **Vedic + SALSA© Interpretation of Market Birth**, and does **not reuse or copy** any external code. It is not affiliated with or derived from any other indicator.
---
## 🔱 **What Is a Brahma Creation Field (BCF)?**
In SALSA© Market Dynamics:
* **Brahma** = Creation
* **Vishnu** = Continuation
* **Shiva** = Transformation (destruction/reset)
A **BCF** is the *birth moment* of a new price narrative —
a zone created when price displaces strongly enough to leave a gap between the candle and the candle two bars earlier.
This is interpreted as:
* **Bullish BCF** → A strong upward creation event
* **Bearish BCF** → A strong downward creation event
These “Creation Fields” often act as **reaction points, continuation areas, or reversal zones**.
---
## 🔰 **Key Features**
### **✔ Automatic Detection of Brahma Creation Fields**
Identifies both bullish and bearish creation zones using clean imbalance structure.
### **✔ Creation Strength Line (CSL)**
A midline through the BCF used to confirm strength, bias, and equilibrium.
### **✔ Integrity Break Logic**
When price invalidates the BCF, the zone fades and becomes inactive.
### **✔ Real-Time Updates**
BCFs extend automatically as long as they are active.
### **✔ Alerts Included**
* Bullish BCF Formed
* Bearish BCF Formed
* BCF Integrity Broken
* Price Inside Active BCF
* CSL Cross (Midline Cross)
### **✔ 100% Original Codebase**
Fresh, clean Pine Script v6 logic reflecting SALSA© philosophy.
---
## 🔬 **Use Cases**
* Forecasting continuation after displacement
* Identifying strong zones of liquidity imbalance
* Spotting trend birth points
* Assessing whether narrative pressure is bullish or bearish
* Establishing intraday bias
* Creating entry/exit signals
* Building automated strategies
---
## ⚠ **License Notice**
This indicator is an **original work** created for TradingView,
based on **SALSA© Market Theory**.
You may NOT resell or rehost the code without explicit permission.
If you adapt this script, please give proper credit.
---
## 🙏 **Credits / Attribution**
The concepts here are influenced by general imbalance and displacement theory in trading.
The code itself is **100% original**, written entirely from scratch.
---
# ⭐ **4. TAGS TO USE (Very Important for Visibility)**
Add exactly these tags in TradingView:
* **imbalance**
* **fvg**
* **liquidity**
* **supplydemand**
* **trend**
* **intraday**
* **bias**
* **zones**
* **supportresistance**
* **marketstructure**
* **smartmoney**
These tags rank extremely well.
---
# ⭐ **5. CATEGORIES**
Choose:
✔ **“Technical”**
✔ **“Indicators”**
✔ **“Price Action”** (optional but recommended)
---
# ⭐ **6. LICENSE**
Choose:
### **© Copyright — Open for Personal Use**
or
### **Custom License**
Recommended text:
> This script is © protected.
>
> You may use it freely on TradingView for personal analysis,
> but you may NOT redistribute, publish variations, or sell this code.
---
# ⭐ **7. OPTIONAL – AUTHOR BIO**
Include:
> Dr. Sudhir Khollam
> SALSA© Market Dynamics • Vedic + Financial Astrology
> Creator of the SALSA© Method, Astro SALSA© Pro, and SALSA© Prediction Cards
---
# ⭐ **8. WHAT TO PUT IN “EXTERNAL SOURCE” SECTION**
This is optional, but if you want to be completely transparent:
```
This indicator is a fresh, original rewrite created from scratch.
It does not contain or reuse code from any third-party indicator.
Conceptually inspired by classical imbalance/displacement logic,
translated into a SALSA© creation-phase model.
```
---
# ⭐ **9. SCREENSHOT GUIDELINES (Important for Approval)**
Use a chart showing:
✔ At least one Bullish BCF
✔ At least one Bearish BCF
✔ CSL line clearly visible
✔ Integrity break (if possible)
✔ Clean chart (no clutter)
✔ Label arrows added manually (optional)
Upload **3 screenshots**, TradingView always prefers multi-angle examples.
---
# ⭐ **10. SEO-OPTIMIZED SUMMARY (for search engines)**
**SALSA© BCF Indicator is an imbalance-based price action tool that highlights Brahma Creation Fields — the birth of market intent. Featuring CSL midlines, integrity break detection, real-time zone extension, and a full alert suite. Ideal for traders using smart money concepts, FVGs, SMC, or Vedic-based price analysis.**
---
# ⭐ **11. PUBLISHING CHECKLIST**
### ✔ Code compiles
### ✔ Description added
### ✔ Screenshot added
### ✔ Tags added
### ✔ License selected
### ✔ Public or Protected selected
### ✔ Test alerts
### ✔ Save + Publish
---
Micha Stocks Buyers Breakout RatingMicha Stocks Buyers Breakout Rating (ByBr)
========================================
This indicator is a custom rating system designed to identify high-probability "Buy" setups by analyzing Volume Conviction, Price Action, and Seller Exhaustion. It assigns a rating from 4 to 10 for every valid signal, helping traders filter out weak breakouts and focus on high-conviction moves.
How it Works The script uses a multi-tiered logic system to grade every green candle:
1. Volume Tiers (The Engine)
--Extreme Conviction (Rating 10): Volume is 2.5x higher than the short-term average.
--High Conviction (Rating 7-8): Volume is 1.5x higher than the short-term average.
2. Sustained Accumulation (Rating 5-6) Identifies persistent buying pressure where the last X -----bars (default 5) have all been green/up candles.
--Bonus Points The script awards extra points to the base rating for high-quality candle shapes:
--Strong Close: Price closes in the top 25% of the daily range.
--Hammer Candle: Long lower wick (rejection of lows) with a small body.
3. Seller Exhaustion (The Reversal - Rating 3-4) This logic identifies "dip buys" where sellers have lost control. It requires:
--Downtrend: Price is below the recent high.
--Confirmation: Either a "Volume Washout" (recent panic selling) or a "Supply Dry Up" (volume dropping below average).
How to Use
--------------
Look for Triangles: A triangle appears below the bar when a signal is detected.
Read the Number: The number (4-10) indicates the strength of the signal.
10: Extreme Volume Breakout (highest confidence).
7-8: Strong Volume Breakout.
4: Reversal/Dip Buy opportunity (Seller Exhaustion).
Tooltip: Hover over the label to see exactly which logic triggered the signal (e.g., "Extreme Conviction" vs "Sustained Accumulation").
Settings
----------
Short Lookback: Adjust the sensitivity of the trend detection (Default: 5).
Volume Multipliers: Adjust how strict the volume requirements are for high ratings.
BTC - Satoshis Altcoin Graveyard OVERVIEW
The Satoshi's Altcoin Graveyard (SAG) is a macro-statistical engine designed to solve the problem of Survivorship Bias . It is a well-known phenomenon in the crypto markets that the "Top 10" list is in a constant state of flux. If you look at historical data from CoinMarketCap (CMC) year by year, you will see a revolving door of projects that once seemed "too big to fail" disappearing into obscurity. Meanwhile, Bitcoin has remained the undisputed #1 since inception.
While most traders have a "gut feeling" that Altcoins eventually depreciate against Bitcoin, I believe in measuring it and drawing it on a chart for better visibility. By locking in specific "Cohorts" of market leaders from the past, we can track their inevitable decay through the Satoshi Sieve .
THE 13-COIN STATISTICAL BUCKET
To ensure an objective, non-biased audit, each cohort (we look at 2018, 2020 and 2022) is constructed using a fixed market-cap methodology from the snapshot date (excluding stablecoins):
• The Core: The Top 10 non-stablecoin assets at that time by Marketcap.
• The Risk Alpha: Representative samples from the Top #25, #50, and #100 ranks. (By including lower-ranked "riskier" alts, we capture the full statistical decay of the market, not just the "Blue Chips.")
TECHNICAL ARCHITECTURE
This script is engineered to push the boundaries of the Pine Script engine. TradingView enforces a hard limit of 40 unique data requests . By tracking 3 cohorts of 13 assets plus the Bitcoin base, this indicator utilizes exactly 40/40 requests , providing the maximum possible data density in a single chart window.
THE SPS CONCEPT (Survival Probability Score)
The SPS measures the Breadth of Survival . It answers: "How many coins from this year (the year of the snapshot) are actually outperforming BTC?"
We use a binary logic system to determine if a coin is "Winning" or "Losing" against the only benchmark that matters: Bitcoin.
• The Status Formula: Status = Current_Alt_BTC_Ratio >= Entry_Alt_BTC_Ratio ? 1 : 0 . This means: Every single day, at the Daily Close , the script compares the current Alt/BTC ratio to the fixed ratio from the snapshot date. If the coin is worth more in Bitcoin today than it was back then, it is assigned a "1" (a Win). If it has lost value against Bitcoin, it gets a "0" (a Loss).
• The SPS Line: SPS Line = (Sum of 'Wins' / 13) * 100 This means: We add up all the "Winners" for that specific day and turn it into a percentage. For example, if the Aqua line is at 7.69% on your chart, it confirms that on that day , exactly 1 out of the 13 coins was successfully beating Bitcoin, while the other 12 were underperforming.
THE PERFORMANCE MATRIX
In the top-right corner, we provide a Weighted Portfolio Simulation . This answers the financial question: "If I swapped 1 BTC into an equal-weight basket of these 13 coins on the snapshot day, what is my BTC value today?".
• Value < 1.0 BTC: You lost purchasing power compared to holding Bitcoin.
• Value > 1.0 BTC: You successfully achieved "Alpha" over the benchmark.
HOW TO READ THE CHART
• The Waterfall: Lines generally trend downward as the "Satoshi Sieve" filters out assets that cannot maintain their BTC-relative value.
• Dynamic Winners: We dynamically print the names of the current survivors at the tip of each line. If a cohort shows "None," the graveyard is full.
HOW TO READ THE MATRIX
• The BTC Target: Any portfolio value in the matrix below 1.0 BTC represents a failed altcoin rotation.
• Class of 2018: A portfolio value near 0.15 BTC at the current date, means a 85% loss rate.
• Class of 2020: A portfolio value near 0.77 BTC at the current date, means an approx 20 % loss rate.
• Class of 2022: A portfolio value near 0.31 BTC at the current date, means an approx 70% loss rate.
DIFFERENCE FROM AN ALTCOIN INDEX
Standard Altcoin Indexes (like my ALSI Index ) "rebalance" by removing losers and adding new winners. This is deceptive. The Altcoin Graveyard never rebalances . It forces you to watch the "losers" decay, providing a realistic look at the long-term opportunity cost of "Buy and Hold" for anything other than Bitcoin.
CONCLUSION
The data revealed by the Satoshi Sieve leads to a singular, sobering "Lesson Learned": Picking the right coin to outperform Bitcoin is not just difficult—it is statistically improbable over a long-term horizon.
While the "Risk-Reward" of altcoins is often marketed as having higher upside, the Altcoin Graveyard proves that for the vast majority of assets, the reward does not justify the risk of total portfolio erosion in BTC terms.
• The Mathematical Odds: If you picked a Top 10 coin in 2018, your chance of outperforming BTC today is effectively 0%.
• The Rotation Trap: Most investors "HODL" these assets into the graveyard, hoping for a return to previous ATHs that never comes because the liquidity has already moved on to the next "Class" of winners.
The final conclusion is clear: Diversification into altcoins is often just a slow-motion transfer of wealth back to Bitcoin. If you cannot identify the 1-out-of-13 that survives the Sieve, your best risk-adjusted move has historically been to simply hold the benchmark.
DISCLAIMER
This script is for educational purposes only. It does not constitute financial advice. It is a mathematical study of historical opportunity cost and survivorship bias.
Tags
bitcoin, btc, satoshis graveyard, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths, robmaths
ATR Volatility RegimeATR Volatility Regime
A volatility classification indicator that uses ATR (Average True Range) percentile ranking to identify LOW , NORMAL , HIGH , or EXTREME volatility conditions.
Displayed as a separate pane oscillator (0–100 scale) with colored zones.
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💡 WHY THIS INDICATOR?
Most volatility indicators show raw ATR — a number without context. Is ATR = 50 high or low? Depends on the asset and recent history.
This indicator answers: "Is current volatility high or low for THIS asset, right now?"
What it adds over standard ATR:
Percentile context — Compares current ATR to its own history
Regime classification — Actionable labels instead of raw numbers
Visual zones — Instant read without interpretation
Optional MTF — Lock to a fixed timeframe while viewing another
Auto-adapts — Works on any asset without manual threshold tuning
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📐 CORE CONCEPTS
ATR (Average True Range)
Measures volatility in price units — how much an asset typically moves per bar. Directionless (magnitude only, not direction).
Calculation:
True Range = the greatest of:
High − Low (current bar's range)
|High − Previous Close| (gap up captured)
|Low − Previous Close| (gap down captured)
ATR = Moving average of True Range over N bars (default: 14)
Percentile Rank (Pctl)
Answers: "What percentage of historical values is the current value greater than?"
Pctl = 0% → Lowest ATR in lookback period (extreme compression)
Pctl = 50% → Median ATR (typical volatility)
Pctl = 100% → Highest ATR in lookback period (extreme expansion)
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🎯 WHAT IT DOES
Classifies current volatility into four regimes:
LOW (< 25th percentile) — Compression, breakout likely brewing
NORMAL (25th–50th percentile) — Typical market conditions
HIGH (50th–75th percentile) — Elevated volatility, use caution
EXTREME (> 75th percentile) — Rare expansion, tighten stops or stay flat
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📊 DISPLAY COMPONENTS
Oscillator Line (0–100)
ATR percentile rank over time. Color matches regime:
Blue = LOW
Gray = NORMAL
Orange = HIGH
Red = EXTREME
Zone Backgrounds
Colored bands at threshold levels for instant visual reference.
Status Label
VOL — Current regime
ATR — Raw ATR value (for stop sizing)
Pctl — Percentile rank (0–100%)
TF — Active timeframe (chart or fixed)
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📈 HOW TO USE
LOW Volatility (Pctl < 25%):
Market compressed — "calm before the storm"
Watch for breakout setups
Pctl = 0% often precedes significant moves
NORMAL Volatility (Pctl 25–50%):
Typical conditions
Standard position sizing and stops
HIGH Volatility (Pctl 50–75%):
Elevated movement — reduce size
Widen stops to avoid noise
EXTREME Volatility (Pctl > 75%):
Rare, intense conditions
Avoid new entries or tighten risk
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⚙️ SETTINGS
ATR Settings:
ATR Length (default: 14) — Period for ATR calculation
Percentile Lookback (default: 100) — Bars for percentile ranking
Timeframe:
Use Fixed Timeframe (default: off) — Lock calculation to specific TF
Fixed Timeframe (default: D) — TF to use when fixed mode enabled
Thresholds:
Low Threshold (default: 25)
High Threshold (default: 50)
Extreme Threshold (default: 75)
Display:
Show Zone Background — Toggle colored fills
Show Status Label — Toggle info label
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📋 SUGGESTED LOOKBACK BY ASSET
Crypto — 100 bars (fast regime shifts)
Stocks — 252 bars (one trading year)
Forex — 100–150 bars
Commodities — 150–200 bars (seasonal patterns)
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🔔 ALERTS
Vol → EXTREME
Vol → HIGH
Vol → LOW
Vol exits HIGH
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💡 PRACTICAL APPLICATIONS
Stop-Loss Sizing:
Use raw ATR for stops. Example: Stop = Entry − (1.5 × ATR)
Position Sizing:
Reduce size when percentile is HIGH or EXTREME.
Entry Filtering:
LOW regime = prepare for breakout
EXTREME regime = avoid new entries
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📝 NOTES
Works on any timeframe — adapts to chart or locks to fixed TF
ATR is non-directional — magnitude only
Percentile auto-adapts to each asset's volatility profile
Not a standalone signal — combine with trend/regime filters
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🏷️ TAGS
volatility, ATR, average-true-range, percentile, regime, risk-management, position-sizing, swing-trading, MTF
Trade Pro - Tops and BottomsCredit to the creator, theehoganator. This is great for confirming an already good setup for finding tops and bottoms of pullbacks in line with the htf trend.
ATR Stop LinesATR Stop Lines
Plots dynamic stop-loss levels on the price chart based on ATR (Average True Range). Optionally adjusts stop distance based on volatility regime.
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🎯 WHAT IT DOES
Green line — Long stop (Close − ATR × multiplier)
Red line — Short stop (Close + ATR × multiplier)
Lines move with price and volatility. When regime-adjust is enabled, stop distance widens in high volatility and tightens in low volatility.
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📐 REGIME-ADJUSTED MULTIPLIERS
When enabled, the multiplier auto-adjusts based on the ATR percentile:
LOW (< 25th pctl) — 1.0× ATR — Tight stops, small moves expected
NORMAL (25–50th pctl) — 1.5× ATR — Standard distance
HIGH (50–75th pctl) — 2.0× ATR — Wider to avoid noise
EXTREME (> 75th pctl) — 2.5× ATR — Widest, or skip the trade
Disable regime-adjust to use a fixed multiplier for all conditions.
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📈 HOW TO USE
Entry: Note stop line level when entering a trade. Set stop-loss at or beyond that level.
Trailing: Move stop to new line level as price advances in your favor.
Sizing: Wider stop = smaller position to maintain constant risk.
Example:
BTC Daily, ATR = \$2,000, Regime = HIGH (2.0×)
Entry: \$50,000 → Long stop: \$46,000 / Short stop: \$54,000
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📊 STATUS LABEL
VOL — Current regime (LOW / NORMAL / HIGH / EXTREME)
ATR — Raw ATR value in price units
Mult — Active multiplier
Stop Dist — Current stop distance in price units
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⚙️ SETTINGS
ATR Settings:
ATR Length (default: 14)
Percentile Lookback (default: 100)
Timeframe:
Use Fixed Timeframe — Lock to specific TF
Fixed Timeframe (default: D)
Stop Settings:
Regime-Adjusted Multiplier — Toggle auto-adjust on/off
Base ATR Multiplier — Used when regime-adjust is off
LOW/NORMAL/HIGH/EXTREME Multipliers — Customize per regime
Display:
Show Long Stop / Show Short Stop
Show Status Label
Long/Short Stop Colors
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🔔 ALERTS
Vol → EXTREME
Vol → LOW
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💡 COMPANION INDICATOR
Use with ATR Volatility Regime (separate pane) for full context:
Pane indicator → percentile visualization, zone backgrounds
This indicator → actionable stop levels on price chart
Both use identical ATR/percentile logic and stay in sync.
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📝 NOTES
Works on any timeframe
Stops are dynamic — recalculate each bar
Not a signal generator — use with your own entry logic
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🏷️ TAGS
ATR, stop-loss, volatility, risk-management, position-sizing, trailing-stop, swing-trading
Quant Stats: Alpha, Beta, R2Quant Stats Indicator for TradingView: Alpha, Beta, and R-Squared
Overview
The Quant Stats Indicator is a professional-grade Pine Script tool designed for quantitative traders and hedge fund managers who need real-time analysis of stock or ETF performance against a benchmark using three fundamental CAPM metrics: Beta, R-Squared, and Alpha.
This indicator calculates three critical measurements that answer every quant trader's core questions: How volatile is this asset relative to my benchmark? How much of its performance is independent of the benchmark? And how much excess return am I achieving after adjusting for risk?
The Three Metrics Explained
Beta (β) measures systematic risk and volatility relative to your chosen benchmark. A Beta of 1.0 means the asset moves in lockstep with the benchmark. A Beta above 1.0 indicates higher volatility—if the market rises 10%, a Beta-1.5 asset should rise 15%. Conversely, a Beta below 1.0 indicates lower volatility, making it a defensive position. This metric helps you understand how much market exposure you're truly taking.
R-Squared (R²) quantifies what percentage of an asset's price movement can be explained by benchmark movements. An R² of 0.95 means 95% of the asset's moves are driven by the benchmark, leaving only 5% unexplained. Conversely, an R² of 0.2 means 80% of the asset's movement is independent of the benchmark. This distinction is crucial: high R² is desirable for passive index tracking but indicates weak alpha potential; low R² reveals genuine independent returns, exactly what active managers seek.
Alpha (α) reveals Jensen's Alpha—the excess risk-adjusted return after accounting for the return you "should" earn given your Beta exposure. A positive Alpha of 15% means you're outperforming the market by 15 percentage points after adjusting for systematic risk. This is the holy grail of stock picking: pure skill-driven excess return, not luck from market exposure.
How to Use It
Configure four key inputs: your benchmark ticker (default SPY, but use QQQ for tech-focused analysis or sector-specific ETFs), the lookback period in days, and the risk-free rate reflecting current Treasury yields. The lookback period is critical. Use 20 days for tactical trading to capture short-term sentiment and beta spikes; use 63 days for swing trading and quarterly rebalancing; use 252 days for structural asset allocation decisions.
The indicator plots Beta as a blue line, R-Squared as a red shaded background area, and Alpha as a green line in a sub-panel. Reference gridlines appear at Beta = 1.0 (market-equivalent volatility) and Alpha = 0.0 (breakeven performance), making interpretation intuitive.
Practical Applications
For swing traders monitoring a 63-day window, seek positions with low Beta (below 0.8) and positive Alpha—these are defensive winners. Avoid high Beta (above 1.2) with low R² unless you specifically want high-volatility speculation. Long/short hedge funds should use a 20-day lookback to detect regime changes: sudden Beta spikes often precede correlation breakdowns, while R² collapses signal rising idiosyncratic risk requiring immediate rebalancing.
For ETF portfolio construction, high R² (above 0.95) indicates index-tracking that doesn't justify active management fees. Low R² (below 0.3) combined with positive Alpha reveals genuine active management skill. The sweet spot is moderate Beta (0.5–0.8) with low R² and positive Alpha—a true diversifier that reduces portfolio volatility while generating independent returns.
Critical Interpretation Rules
A common mistake is assuming high R² is always desirable. It isn't. Passive index funds naturally have high R²; active managers should target low R² with high Alpha. Similarly, don't assume Alpha above 10% is sustainable—short-term Alpha (20–100 days) is inherently volatile and often represents temporary mispricings rather than repeatable skill. Always pair Beta analysis with R² interpretation; Beta alone ignores idiosyncratic risk, liquidity constraints, and tail risk.
Configuration Recommendations
Conservative investors should use SPY as benchmark with a 252-day lookback, targeting Alpha above 3% and Beta below 0.8. Growth-oriented portfolios might use QQQ with a 63-day lookback, targeting 8–12% Alpha and tolerating Beta up to 1.3. Hedge funds pursuing market-neutral strategies should use SPY with a 20-day lookback, set the risk-free rate to 2% (anticipating rate cuts), and target 15%+ Alpha while maintaining Beta below 0.3.
Important Limitations
The indicator is backward-looking; historical statistical relationships may not persist. Shorter lookback periods are noisier but more responsive; longer periods smooth noise but lag regime changes. Choosing the wrong benchmark completely invalidates analysis. Finally, the indicator doesn't account for tail risk or extreme market events where correlations spike unpredictably and Beta becomes unreliable.
Use this tool to separate signal from noise and identify true alpha generators. Apply it consistently, validate results against official fund factsheets, and monitor for 2–4 weeks before making significant portfolio decisions.
NQ ICT NY Session ChecklistNQ ICT NY Session Checklist
A manual, on-chart checklist indicator designed to enforce ICT execution rules during the New York session on Nasdaq (NQ). The script displays a step-by-step confirmation panel for higher-timeframe bias, liquidity identification, liquidity sweep, market structure shift, fair value gap entry, and risk/reward validation. It helps prevent early entries, FOMO, and overtrading by clearly indicating when all conditions are met and the trader is ready to execute.
Minervini TT RS Break (vs TOPIX)his script selects “buyable” stocks using Minervini’s Trend Template and filters for market leaders by relative strength versus TOPIX. A BUY signal appears when all TT conditions are met (price above 50/150/200-day MAs, 50>150>200 alignment, rising 200-day MA, +30% from 52-week low, within 25% of 52-week high) and RS is above the threshold, trending up, and making new highs. While BUY is active, an ENTRY signal is shown only when a pivot breakout (above the prior N-day high) occurs with a volume surge (multiple of average volume) and volatility contraction (lower ATR%). An RS BREAK is flagged when relative strength weakens (below its MA or MA turning down), indicating no-add and exit watch. Use BUY to build a watchlist, act only on ENTRY signals, and stop adding while prioritizing exit decisions when RS BREAK appears.
ABCD Strategy (v7 Ready)//@version=6
indicator("ABCD Strategy v7 – MTF S/R Filter", overlay=true, max_lines_count=300, max_labels_count=300)
//━━━━━━━━━━━━━━━━━━━━━
// INPUTS
//━━━━━━━━━━━━━━━━━━━━━
pivotLen = input.int(5, "Swing Strength", minval=2)
bcMin = input.float(0.618, "BC Min Fib")
bcMax = input.float(0.786, "BC Max Fib")
cdMin = input.float(1.272, "CD Min Extension")
cdMax = input.float(1.618, "CD Max Extension")
htfTF = input.timeframe("240", "Higher Timeframe (S/R)")
srLookback = input.int(200, "HTF S/R Lookback")
srTolerance = input.float(0.002, "S/R Zone Tolerance (0.2%)")
showSR = input.bool(true, "Show HTF S/R Zones")
showTargets = input.bool(true, "Show Targets")
//━━━━━━━━━━━━━━━━━━━━━
// HIGHER TF SUPPORT / RESISTANCE
//━━━━━━━━━━━━━━━━━━━━━
htfHigh = request.security(syminfo.tickerid, htfTF, ta.highest(high, srLookback))
htfLow = request.security(syminfo.tickerid, htfTF, ta.lowest(low, srLookback))
srHighZoneTop = htfHigh * (1 + srTolerance)
srHighZoneBottom = htfHigh * (1 - srTolerance)
srLowZoneTop = htfLow * (1 + srTolerance)
srLowZoneBottom = htfLow * (1 - srTolerance)
//━━━━━━━━━━━━━━━━━━━━━
// DRAW HTF ZONES
//━━━━━━━━━━━━━━━━━━━━━
if showSR
box.new(bar_index - 5, srHighZoneTop, bar_index + 5, srHighZoneBottom,
bgcolor=color.new(color.red, 85), border_color=color.red)
box.new(bar_index - 5, srLowZoneTop, bar_index + 5, srLowZoneBottom,
bgcolor=color.new(color.green, 85), border_color=color.green)
//━━━━━━━━━━━━━━━━━━━━━
// SWING DETECTION
//━━━━━━━━━━━━━━━━━━━━━
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
var float A = na
var float B = na
var float C = na
var float D = na
var int Ab = na
var int Bb = na
var int Cb = na
var int Db = na
if not na(pl)
A := B
Ab := Bb
B := C
Bb := Cb
C := low
Cb := bar_index
if not na(ph)
A := B
Ab := Bb
B := C
Bb := Cb
C := high
Cb := bar_index
//━━━━━━━━━━━━━━━━━━━━━
// ABCD LOGIC
//━━━━━━━━━━━━━━━━━━━━━
ab = math.abs(B - A)
bc = math.abs(C - B)
bcFib = bc / ab
validBC = bcFib >= bcMin and bcFib <= bcMax
bull = C > B
cdMinPrice = bull ? C - bc * cdMin : C + bc * cdMin
cdMaxPrice = bull ? C - bc * cdMax : C + bc * cdMax
inDzone = low <= cdMaxPrice and high >= cdMinPrice
//━━━━━━━━━━━━━━━━━━━━━
// MTF STRUCTURE FILTER
//━━━━━━━━━━━━━━━━━━━━━
nearResistance = close <= srHighZoneTop and close >= srHighZoneBottom
nearSupport = close <= srLowZoneTop and close >= srLowZoneBottom
structureOK =
(bull and nearSupport) or
(not bull and nearResistance)
//━━━━━━━━━━━━━━━━━━━━━
// FINAL D CONFIRMATION
//━━━━━━━━━━━━━━━━━━━━━
if validBC and inDzone and structureOK
D := close
Db := bar_index
//━━━━━━━━━━━━━━━━━━━━━
// TARGETS
//━━━━━━━━━━━━━━━━━━━━━
tp1 = bull ? D + math.abs(D - C) * 0.382 : D - math.abs(D - C) * 0.382
tp2 = bull ? D + math.abs(D - C) * 0.618 : D - math.abs(D - C) * 0.618
//━━━━━━━━━━━━━━━━━━━━━
// DRAW PATTERN
//━━━━━━━━━━━━━━━━━━━━━
if not na(D)
line.new(Ab, A, Bb, B, width=2, color=color.blue)
line.new(Bb, B, Cb, C, width=2, color=color.orange)
line.new(Cb, C, Db, D, width=2, color=color.green)
label.new(Db, D, "D (HTF CONFIRMED)", style=label.style_label_down, color=color.yellow)
if showTargets
line.new(Db, tp1, Db + 12, tp1, color=color.green)
line.new(Db, tp2, Db + 12, tp2, color=color.teal)
alertcondition(validBC and inDzone and structureOK,
"ABCD v7 Confirmed",
"ABCD Pattern confirmed at Higher-Timeframe Support/Resistance — wait for price action.")
First FVG per Session - Big Boss Traders)First FVG per Session - Big Boss Traders)
All persistent variables (fvgTop, fvgBottom, boxes) declared with var at the top.
No assignment to na without var → compiles error-free.
FVG boxes and levels are dark orange.
First FVG per session is drawn and prolonged dynamically.
Background colors per session remain.
TradeSkull Opening Candle Range BoxThis will give you and extended range box of the opening candle of your choice on what ever timeframe you like
Baekdoo VWAP & High-Volume Node Momentum Breakout (V6)Indicator Name: Baekdoo VWAP & High-Volume Node Momentum Breakout (V6)
Description Summary: This indicator tracks the interaction between the VWAP (Volume Weighted Average Price)—the market's "fair value"—and the High-Volume Node (Resistance) from the past 20 bars. The goal is to identify "True Breakouts" where the average entry price of all participants, not just the spot price, successfully surmounts a major supply zone.
Key Features:
Annual Cumulative VWAP: Uses a yearly-anchored VWAP to filter out daily noise on 1D charts and provide a stable trend baseline.
Volume-Based Resistance: Identifies the high of the candle with the maximum volume over 20 periods as a critical supply wall.
Institutional Volume Filter: Signals are only triggered when volume exceeds 2x the 5-day average, ensuring significant market interest.
Dual Exit Strategy: Incorporates a 1.5 ATR Trailing Stop for partial profit-taking and a 20 SMA crossunder for a full risk-off exit.
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지표 명칭: 백두 VWAP 매물대 모멘텀 돌파 전략 (V6)
설명 요약: 본 지표는 시장의 평균 합의 가격인 **VWAP(Volume Weighted Average Price)**과 최근 20일간 가장 강력한 거래가 발생한 **매물대(High Volume Node)**의 상호작용을 추적합니다. 단순히 가격이 뚫는 것이 아니라, 시장 참여자들의 평균 단가 자체가 저항선을 넘어서는 '진성 돌파'를 포착하는 데 목적이 있습니다.
주요 특징:
연간 누적 VWAP: 일봉 차트에서의 노이즈를 줄이기 위해 연간 단위로 누적된 평균 단가를 사용합니다.
매물대 저항선: 지난 20일 중 최대 거래량이 터진 봉의 고점을 저항선으로 설정하여, 악성 매물이 쏟아질 수 있는 구간을 시각화합니다.
거래량 필터: 5일 평균 거래량 대비 2배 이상의 거래가 실릴 때만 신호를 발생시켜 기관 및 세력의 개입 여부를 확인합니다.
스마트 엑싯: 1.5 ATR 트레일링 스톱을 통한 수익 보존과 20일 이평선 이탈을 통한 리스크 관리를 동시에 수행합니다.
Wick & Body % with upper wick thresholdA simple indicator to give the sizes of wicks and main body of the last candle as percentage of high - low. No negative figures. If the candle is red, the table will be red and vice versa. Table could be located as per user preference. Upper wick threshold is user defined and will be red beyond the threshold.
GS Quantum Radar [Elite Aesthetic - Bilingual]GS Quantum Radar / GS 量子雷達
Overview / 概述
Inspired by the quantum physics concept of "Ghostly action at a distance," the GS Quantum Radar is a high-end quantitative tool designed to capture the hidden correlations between two entangled assets (e.g., 2330.TW vs. TSM, or NVDA vs. AI sector). It identifies "Quantum Tension"—statistical deviations that signal imminent mean reversion or breakout opportunities.
受量子力學中**「幽靈般的遠距作用」**啟發，GS 量子雷達是一款專為捕捉資產間隱藏關聯而設計的高階量化工具（例如台積電與 TSM ADR，或 NVDA 與 AI 類股）。它能識別「量子張力」——即統計學上的異常偏離，預示著即將到來的均值回歸或突破機會。
Core Logic / 核心邏輯
The indicator operates on Statistical Arbitrage principles using a dynamic Z-Score model:該指標基於統計套利原理，採用動態 Z-Score 模型：
Entanglement Strength (Correlation) / 糾纏強度（相關性）： It measures how synchronized the two assets are. Signals are only valid when the correlation is high, ensuring you aren't trading noise.衡量兩項資產的同步程度。僅在相關性高時訊號才有效，確保您避開市場雜訊。
Quantum Tension (Z-Score) / 量子張力 (Z-Score)： Using the formula $Z = \frac{x - \mu}{\sigma}$, it calculates the price ratio deviation.透過公式 $$Z = \frac{x - \mu}{\sigma}$$
計算價差比率的偏離值。
$Z > +2$ (Red Column / 紅色柱狀): Particle A is overstretched (Overvalued). / 資產 A 擴張過度（相對高估）。
$Z < -2$ (Green Column / 綠色柱狀): Particle A is compressed (Undervalued). / 資產 A 壓縮過度（相對低估）。Shutterstock探索
Key Features / 主要功能
Bilingual Cyberpunk Dashboard / 中英雙語賽博龐克儀表板: Real-time monitoring of network status, entanglement strength, and tension levels with intuitive scale bars.即時監控網路狀態、糾纏強度與張力水平，配備直觀的比例尺進度條。
Aesthetic UI / 視覺美學: Designed with a Neon-Tokyo palette. Optimized for Dark Mode with a focus on high-density information display.採用霓虹東京配色。專為深色模式優化，專注於高密度資訊顯示。
Taiwan Style Color / 台股配色慣例: Red for Bullish/Up, Green for Bearish/Down.符合台股習慣：紅漲、綠跌。
How to Use / 如何使用
Select your pair / 選擇對象: Load the script on your primary chart (e.g., 2330.TW) and input the "Entangled Particle" (e.g., NASDAQ:TSM) in settings.在主圖表（如 2330.TW）掛載腳本，並在設定中輸入「糾纏對象」（如 NASDAQ:TSM）。
Monitor the Status / 監控狀態: Look for "STRONG BUY" or "TAKE PROFIT" advisories on the dashboard.觀察儀表板上的「強力買進 (STRONG BUY)」或「獲利了結 (TAKE PROFIT)」建議。
Execute / 執行交易: Enter when the "Quantum Tension" hits the $\pm 2.0$ thresholds while "Entanglement" is full.當「量子張力」達到 $\pm 2.0$ 臨界點且「糾纏強度」滿格時進場。
Disclaimer / 免責聲明Trading involves significant risk. This indicator is a statistical tool for decision support and does not guarantee profits. Use with proper risk management.交易涉及重大風險。本指標為輔助決策的統計工具，不保證獲利。請配合適當的風險管理使用。
Clean SMC: Filtered OB + FVGHow does this indicator work?
Fair Value Gaps (FVG): It identifies price imbalances (gaps between the wick of candle 1 and candle 3). They appear as small, light-colored rectangles.
Order Blocks (OB): It marks "Smart Money" candles that precede a strong impulse. These areas are extended to the right because they often act as future support or resistance.
Signals (BUY/SELL): The indicator displays a signal when it detects a confluence (for example, a bullish OB appearing right after an FVG).
Some friendly trading tips:
Timeframe: This indicator works best on higher timeframes (15m, 1h, 4h) to avoid market "noise."
Confirmation: Don't take a "BUY" signal on its own. Check if the overall trend (on a higher timeframe) is also bullish.
Risk management: Always place your Stop Loss just below the identified Order Block.
Gold Inverse Correlation TrackerGold Inverse Correlation Tracker - Professional Multi-Asset Analysis
What This Indicator Does:
This indicator monitors the real-time correlation between Gold and five key financial assets that historically move inversely (opposite) to gold prices. It displays these relationships across three different timeframes simultaneously, giving you both short-term trading signals and long-term trend confirmation.
The indicator tracks:
US Dollar Index (DXY) - Historical correlation: -0.63
Real Interest Rates (TIPS) - Historical correlation: -0.82 (strongest inverse relationship)
10-Year Treasury Yield - Nominal interest rate proxy
S&P 500 (SPX) - Equity market sentiment (variable correlation)
VIX - Volatility index (optional, flight-to-safety indicator)
Why Inverse Correlations Matter for Gold Trading:
Understanding inverse correlations is critical for gold traders because:
Predictive Power - When assets move opposite to gold consistently, you can use their strength/weakness to predict gold's next move
Hedging Opportunities - Strong inverse correlations let you hedge gold positions by trading the inverse asset
Regime Detection - When correlations break down, it signals a market regime change or increased uncertainty
Confirmation Signals - Multiple strong inverse correlations validate your gold trade thesis
Risk Management - Knowing what moves against gold helps you understand your portfolio's true exposure
The Science Behind the Numbers:
Real interest rates have the strongest inverse correlation to gold (approximately -0.82) because:
Gold pays no yield or dividend
When real rates rise, the opportunity cost of holding gold increases
Investors shift to interest-bearing assets when they offer positive real returns
When real rates go negative, gold becomes relatively more attractive
The US Dollar shows strong inverse correlation (approximately -0.63) because:
Gold is priced in US dollars globally
A stronger dollar makes gold more expensive for foreign buyers, reducing demand
A weaker dollar makes gold cheaper internationally, increasing demand
Both compete as reserve assets and stores of value
Why the Indicator is Weighted This Way:
Three Timeframe Approach:
Short-term (20 periods) - Captures recent correlation shifts for day trading and swing trading
Medium-term (50 periods) - The primary signal - balances noise reduction with responsiveness
Long-term (100 periods) - Confirms structural correlation trends for position trading
Correlation Thresholds:
Strong Inverse (<-0.7) - Statistically significant inverse relationship; highest confidence for inverse trades
Moderate Inverse (<-0.3) - Meaningful inverse relationship; still useful but less reliable
Weak Inverse (<0.0) - Slight inverse tendency; correlation may be breaking down
Positive (>0.0) - Assets moving together; inverse relationship has failed
How to Use This Indicator:
For Inverse Trading Strategies:
When DXY shows RED correlation (<-0.7), consider shorting DXY when gold is strong
When Real Rates show RED correlation, rising rates = falling gold (and vice versa)
When multiple assets show strong inverse correlation, confidence is highest
For Regime Detection:
All RED = Classic gold market behavior; correlations intact
Mixed colors = Transitional market; be cautious
All GREEN/GRAY = Correlation breakdown; paradigm shift occurring
For Hedging:
Use assets with strong inverse correlation to hedge gold positions
When correlation weakens, reduce hedge size
When correlation strengthens, increase hedge effectiveness
Alert System:
The indicator includes built-in alerts for:
Individual assets crossing strong inverse threshold
Multiple assets simultaneously showing strong inverse correlation (highest probability setup)
Correlation breakdowns that may signal regime changes
Color Guide:
RED - Strong inverse correlation (<-0.7) - Best inverse trading opportunity
ORANGE - Moderate inverse (<-0.3) - Useful but less reliable
YELLOW - Weak inverse (<0.0) - Correlation weakening
GRAY - Weak positive (0.0 to 0.7) - Assets moving together
GREEN - Strong positive (>0.7) - Inverse relationship broken
Recommended Settings:
Day Trading (1H-4H charts):
Short: 14 periods
Medium: 30 periods
Long: 60 periods
Swing Trading (Daily charts):
Short: 20 periods (default)
Medium: 50 periods (default)
Long: 100 periods (default)
Position Trading (Weekly charts):
Short: 10 periods
Medium: 20 periods
Long: 50 periods
Pro Tips:
Watch for divergences - when gold moves but correlations don't confirm
Correlation breakdowns often precede major trend reversals
The Medium-term (50p) correlation is plotted on the chart as your primary reference
Use the Status column for quick assessment of each asset's relationship
Set alerts for "Multiple Strong Inverse" to catch highest-probability setups
Important Notes:
This indicator is designed for Gold charts only (XAUUSD, GLD, GC1!, etc.)
Correlations are not static - they change over time based on market conditions
A correlation of -0.82 means 82% of gold's price movements can be explained by real interest rates
Always combine with other technical analysis and fundamental factors
Past correlations do not guarantee future relationships
Based on Research:
The correlation coefficients used in this indicator are based on peer-reviewed research:
Erb & Harvey (1997-2012): Real rates to gold correlation of -0.82
World Gold Council (2024): US Dollar to gold correlation of -0.63
Multiple academic studies confirming gold's inverse relationship with opportunity cost assets
Use this indicator to trade smarter, hedge better, and understand the macro forces driving gold prices.
Gemini Clean OB AlertPivot Point Usage: Instead of detecting each candle of an opposite color, the script uses `ta.pivothigh/low`. This means it only marks a Pivot Point if the price has actually made a significant high or low relative to the 10 preceding and following candles.
Dynamic Cleanup (Mitigation): As soon as the price returns to "fill" the area (depending on your choice: simple contact or close), the box disappears from the chart. This keeps your view clean and focused on the remaining untouched areas.
Period Setting: You can increase the "Detection Period" (e.g., from 10 to 20) in the settings to filter out even more noise and keep only the major areas.
