zhanzhang666Crypto: RSI (overbought/oversold), MACD (trend), Bollinger Bands (volatility), Volume (trend validity), EMA/SMA (trends), RSI Divergence (reversals), Fibonacci (support/resistance), Stochastic (extremes).
• US Stocks: EPS (profit), P/E (valuation), MACD/RSI (trend/overbought), Volume (movement strength), SMA/EMA (trends), ADX (trend strength), Bollinger Bands (volatility), Dividend Yield (returns), ROE (efficiency).
Chỉ báo và chiến lược
CRS (2 symbols: Ratio or Normalized) + InverseMade for Crosrate comparison By Leo Hanhart
This script is made to do a comparison between two assets under your current chart.
For example if you want to compare SPX over Growth ETF's Below a current asset to find momentum in your stock trading above it
NQ Market DNA: ML ScorerNQ Market DNA: ML Scorer — Indicator Description
NQ Market DNA: ML Scorer is a session-structure and machine-learning scoring tool designed specifically for Nasdaq futures (NQ/MNQ). It converts the market’s overnight behavior into a single, probability-style score (0–100%) and a clear directional bias for the upcoming New York session.
This script is not a generic “trend indicator.” It is a rules-based implementation of a machine-learning model whose feature set and weightings were built and calibrated in Python using historical session data. The Pine Script version is the real-time execution layer: it measures the live session structure, applies the model weights, and displays the result on-chart.
________________________________________
What the indicator plots
1) Session Boxes (Structure Map)
The indicator draws three session ranges using boxes and a midline:
• Asia Session (20:00–02:00 NY time by default)
• London Session (02:00–08:00 NY time by default)
• New York Session (08:00–16:00 NY time by default)
Each session box:
• Expands in real time as highs/lows develop
• Includes a dotted midline (session midpoint)
• “Locks” its final values once the session ends
2) Extension Levels (Target Interaction)
When Asia or London ends, the script projects high and low extension lines forward into the day. These lines extend until one of the following happens:
• Price trades back through the level (a touch/cross condition), or
• The script reaches the hard stop at 16:00 (end of NY session)
This makes it easy to visually track whether later sessions respect or invalidate prior-session extremes.
________________________________________
The ML scoring concept
Output: “Probability of High First” (0–100%)
The model’s output is a normalized score intended to behave like a probability. Practically:
• Score ≥ 50% → Bullish bias (“London High First”)
• Score < 50% → Bearish bias (“London Low First”)
The score is produced by summing weighted session features. If a feature is bullish, it contributes its weight; if bearish, it contributes zero. The weights approximately sum to ~100, so the final score naturally maps into a 0–100 range.
Bias coloring
The on-chart score cell uses a risk-style color gradient:
• Strong Bullish (typically > 75): green
• Neutral / mixed (around 40–75): orange
• Bearish / weak (below ~40): red
________________________________________
Features used by the model (and why they matter)
The ML scorer is driven by session positioning, trend, and volatility. Your Python research determined the relative importance of each feature; the largest weights reflect the strongest historical explanatory power.
Primary drivers (most important)
1. NY Open Location (Weight ~63.73%)
Checks whether the NY session opens above or below the London midpoint.
This is treated as the dominant structural signal because it captures whether NY is opening in the “upper half” or “lower half” of London’s range.
2. London Trend (Weight ~28.09%)
London close vs London open (bullish if close > open).
This represents whether London printed a directional push versus chop.
3. London Outcome / Structure (Weight ~4.21%)
Classifies London relative to Asia:
o “High-only sweep” (bullish structure) if London breaks Asia high without breaking Asia low
This is a proxy for one-sided liquidity behavior rather than symmetric volatility.
Minor factors (smaller weights, but still additive)
4. London Volatility (Weight ~1.11%)
London range relative to its own rolling average (lookback-controlled).
Used as a contextual amplifier: higher-than-normal London range can support continuation.
5. Asia Volatility (Weight ~1.05%)
Asia range relative to its rolling average.
Helps distinguish “quiet overnight” vs “expanded overnight,” which can change the day’s tendency.
6. Asia Trend (Weight ~1.00%)
Asia close vs Asia open.
A light directional context input.
7. London Open Location vs Asia Mid (Weight ~0.81%)
Whether London opens above/below the Asia midpoint.
Helps quantify early handoff positioning.
________________________________________
How to read the table
The table is designed to be a compact decision panel:
• ML PREDICTOR: the score (%) for the current day once NY has opened
• NY Bias: bullish or bearish interpretation based on the 50 threshold
• Top Drivers: shows the state of the highest-weighted features (NY location, London trend, structure)
• Minor Factors: a condensed read on volatility context (e.g., “High Vol” vs “Mixed/Low”)
This layout lets you quickly understand not only the bias, but what caused it.
________________________________________
Best-practice usage notes
• This tool is intended to be used as a context engine, not a standalone entry signal.
• It is most effective when combined with your execution framework (levels, risk model, confirmations, etc.).
• Because it relies on session boundaries, chart symbol and market hours must match the intended instrument (NQ futures) for the cleanest behavior.
________________________________________
Critical disclaimer and settings warning
IMPORTANT — DO NOT CHANGE SETTINGS.
This indicator’s machine-learning weights and feature calibration were derived in Python from historical data under a specific configuration (session windows, timezone, and feature definitions). Changing any inputs—especially session times, timezone, rolling windows, or ML feature weights—can materially invalidate the model’s expected behavior and may produce misleading outputs.
Use with caution.
This script is provided for educational and informational purposes only and does not constitute financial advice. Futures trading involves substantial risk and is not suitable for all traders. Past performance and historical patterns do not guarantee future results. You are solely responsible for any trading decisions and risk management.
If you ever re-train or re-calibrate the model in Python, update the weights only by replacing them with the new Python-derived values as a complete set—do not “tune” them manually.
Swing TraderCore Logic
This is a swing reversal system designed to catch bounces at swing lows (LONG) and rejections at swing highs (SHORT).
Signal Flow:
Warning Phase: Yellow diamonds appear when price makes new lows/highs within the lookback period
Entry Phase: Signals fire when price bounces back after the warning (close > previous low for LONG, close < previous high for SHORT)
Swing Size Filter: Requires minimum point movement (default 50 points) between the stored high/low levels
Strengths
✅ Two-step system prevents premature entries - warns first, then confirms
✅ Alternating signals - won't fire consecutive LONGs or SHORTs
✅ Swing size requirement ensures meaningful moves
✅ Clean visuals - large labels, thick lines, clear table
zhanzhang66Key Indicators for Crypto & US Stock Analysis
These indicators are vital for crypto and US stock trading, aiding in trend identification, overbought/oversold judgment, valuation assessment and reversal signal capture, supporting rational trading decisions.
Crypto Indicators
• RSI: Measures price strength to spot overbought/oversold conditions.
• MACD: Tracks trend direction and momentum, capturing reversal signals.
• Bollinger Bands: Gauges price volatility and potential breakouts.
• Volume: Verifies trend validity and market liquidity.
• EMA/SMA: Identifies short/long-term trend directions.
• RSI Divergence: Warns of potential trend reversals.
• Fibonacci Retracement: Predicts key support/resistance levels.
• Stochastic Oscillator: Pinpoints extreme overbought/oversold states.
US Stock Indicators
• EPS: Reflects company profitability, a core fundamental metric.
• P/E Ratio: Evaluates stock valuation rationality.
• MACD/RSI: Tracks trend, momentum and overbought/oversold conditions.
• Volume: Confirms price movement strength.
• SMA/EMA: Clarifies short/long-term trends.
• ADX: Measures trend strength to avoid sideways market trades.
• Bollinger Bands: Judges volatility and breakout directions.
• Dividend Yield: Key for value investors, showing stable returns.
• ROE: Assesses company profit efficiency for long-term investment.
C2 Closure Alert From Key Level (FVG & Swings)This indicator is designed based on the C2 Closure Trader, specifically focusing on identifying high-probability C2 Candle Closures and Key Level Sweeps. It automates the detection of "Candle 2" setups where price sweeps a key level (Swing High/Low or FVG) and closes back inside, signaling a potential reversal or continuation.
Key Features :
Advanced C2 Detection:
Detects when the current candle (C2) sweeps the previous candle (C1).
Deep Context Check: It validates the setup by checking if C1 was interacting with a Key Level (Swing High/Low or FVG) OR if C1 just created a Fresh FVG.
Logic: Ensures no valid setup is missed, even if the sweep happens instantly after FVG creation.
Straight Sweep Lines (Visuals):
Draws a clean, straight horizontal line from the C1 High/Low to the C2 candle.
Helps you visualize exactly which level was swept.
Customization: You can change the line color and width from settings.
Smart FVG & Swing Levels:
Automatically plots Active Bullish/Bearish FVGs and Swing Highs/Lows.
Mitigation Logic: Levels remain active until a valid signal is generated or price invalidates them. Once used, they turn gray (mitigated) to keep the chart clean.
Mechanical Settings Menu:
Fully customizable inputs organized into clean groups (Algorithm, Signal, Visuals, Limits).
Label Size Control: Adjust the signal label size (Tiny to Huge) to fit your screen.
Transparent Labels: Clean "C2" text without background boxes for a professional look.
Robust Alert System:
Three specific alert options added for automation:
Bullish C2 Closure: Fires only on valid Long setups.
Bearish C2 Closure: Fires only on valid Short setups.
Any C2 Close: Fires on any valid setup.
Note: Alerts are strictly set to trigger Once Per Bar Close to avoid false signals during running candles.
How to Use:
Add to Chart: Apply the indicator to your timeframe (Recommended: 15m, 1H, 4H for narrative).
Identify Signals: Look for the "C2" text label.
Green C2: Bullish Setup (Sweep of Low + Close Up).
Red C2: Bearish Setup (Sweep of High + Close Down).
Validation: The indicator automatically checks if the sweep occurred at a valid Swing Point or FVG. If you see the signal, the context is valid.
Entry: Use the close of the C2 candle as your confirmation to frame a trade or look for lower timeframe entries.
Settings Guide:
Algorithm Sensitivity: Adjust Pivot Left/Right Bars to define how strict the Swing Highs/Lows should be.
Signal Appearance: Change the text (e.g., "Entry") or adjust the Label Size.
Active/History Limits: Control how many active or old (mitigated) lines/boxes stay on the chart to manage clutter.
Visuals: Customize colors for Bull/Bear FVGs, Highs/Lows, and Sweep Lines to match your chart theme.
Disclaimer: This tool is for educational and analytical purposes only. Always manage your risk properly.
S50 Complete Hedge & Trade SystemTFEX:S501!
คู่มือการเทรด CALENDAR SPREAD
1. กลยุทธ์หลัก: MEAN REVERSION SPREAD TRADING
หลักการ:
- Spread ระหว่าง series จะมีค่าเฉลี่ย (Mean) และแกว่งไปมารอบๆ ค่าเฉลี่ยนี้
- เมื่อ Spread เบี่ยงเบนไปจาก Mean มากเกินไป จะกลับมาหาค่าเฉลี่ย (Mean Reversion)
2. INDICATORS ที่ใช้
A. Z-Score
Z-Score = (Spread ปัจจุบัน - Spread เฉลี่ย) / Standard Deviation
การตีความ:
- Z > +2.0 → Spread แพงเกินไป → SHORT spread
- Z < -2.0 → Spread ถูกเกินไป → LONG spread
- Z ≈ 0 → Spread อยู่ที่ค่าเฉลี่ย → EXIT
B. Correlation
Correlation > 0.9 = ดีมาก (เคลื่อนไหวพร้อมกัน 90%+)
Correlation > 0.7 = ดี (ใช้ได้)
Correlation < 0.7 = ไม่แนะนำ (Hedge ไม่มีประสิทธิภาพ)
C. Beta & Hedge Ratio
Beta = Cov(S1, S2) / Var(S2)→ บอกว่า S1 เคลื่อนไหวเท่าไหร่เมื่อ S2 เคลื่อนไหว 1 หน่วย
Hedge Ratio = Beta→ ใช้คำนวณจำนวน contract ที่ต้อง hedge
3. วิธีการเทรด SPREAD (ทีละขั้นตอน)
STEP 1: หาโอกาส
เงื่อนไข Entry:
1. |Z-Score| >= 2.0
2. Correlation > 0.7
3. Signal = "SHORT SPREAD" หรือ "LONG SPREAD"
STEP 2: คำนวณ Position Size
ตัวอย่าง:
- Account Size = 1,000,000 บาท
- Risk Per Trade = 2% = 20,000 บาท
- Spread Std Dev = 15 จุด
- Stop Loss = 1.0x Std Dev = 15 จุด
- S50 มูลค่า = 5 บาท/จุด
Position Size = Risk Amount / (SL Distance × Point Value)
= 20,000 / (15 × 5)
= 20,000 / 75
= 266 contracts (ปัดเป็น 26 สัญญา)
STEP 3: คำนวณ Hedge Ratio
สมมติ: Beta (S1:S2) = 1.05
ถ้าเทรด SHORT S2-S1 spread:
- Sell S2: 26 contracts
- Buy S1: 26 × 1.05 = 27.3 → ปัดเป็น 27 contracts
Portfolio Delta ≈ 0 (Market Neutral)
4. ตัวอย่างการเทรดจริง
SCENARIO A: SHORT SPREAD (Z-Score = +2.5)
สถานการณ์:
- S2-S1 Spread = 50 จุด
- Spread MA = 35 จุด
- Spread Std Dev = 6 จุด
- Z-Score = (50-35)/6 = +2.5 ⚠️ แพงเกินไป
- Correlation = 0.92 ✅
- Beta = 1.05
TRADE PLAN:
1. SELL S2: 10 contracts @ 1,200
2. BUY S1: 10 × 1.05 = 10.5 → 11 contracts @ 1,150
Initial Spread = 50 จุด
Take Profit (TP):
- Target Spread = MA = 35 จุด
- TP Distance = 50 - 35 = 15 จุด
- Profit = 15 × 5 = 75 บาท/spread
- Total Profit = 75 × 10 = 750 บาท
Stop Loss (SL):
- SL Spread = MA + (1.5 × Std Dev) = 35 + 9 = 44 จุด
- SL Distance = 50 - 44 = 6 จุด (ผิดพลาด - ควรเป็น 50 + 6 = 56)
- Loss = 6 × 5 × 10 = 300 บาท
Risk:Reward = 300:750 = 1:2.5
SCENARIO B: LONG SPREAD (Z-Score = -2.3)
สถานการณ์:
- S3-S2 Spread = 20 จุด
- Spread MA = 35 จุด
- Spread Std Dev = 6.5 จุด
- Z-Score = (20-35)/6.5 = -2.3 ⚠️ ถูกเกินไป
- Correlation = 0.88 ✅
- Beta = 1.03
TRADE PLAN:
1. BUY S3: 10 contracts @ 1,230
2. SELL S2: 10 × 1.03 = 10.3 → 10 contracts @ 1,210
Initial Spread = 20 จุด
Take Profit:
- Target Spread = 35 จุด
- Profit = (35-20) × 5 × 10 = 750 บาท
Stop Loss:
- SL Spread = MA - (1.5 × Std Dev) = 35 - 9.75 = 25.25 จุด
- SL = 20 - (20-25.25) = 14 จุด
- Loss = 6 × 5 × 10 = 300 บาท
5. RISK MANAGEMENT
A. Position Sizing Rules
1. อย่าเสี่ยงเกิน 2-3% ต่อการเทรด
2. ใช้ Beta Hedge Ratio เสมอ
3. ตรวจสอบ Margin requirement
B. Stop Loss Strategy
วิธีที่ 1: Fixed Std Dev
- SL = Entry ± (1.0-1.5x Std Dev)
วิธีที่ 2: ATR-based
- SL = Entry ± (1.5x ATR)
วิธีที่ 3: Time-based
- ปิดภายใน 3-5 วัน ถ้าไม่ได้กำไร
C. Take Profit Strategy
วิธีที่ 1: Target MA
- TP เมื่อ Spread กลับมาที่ MA
วิธีที่ 2: Partial Profit
- ปิด 50% เมื่อได้ 1x Std Dev
- ปิดอีก 50% เมื่อ Z-Score = 0
วิธีที่ 3: Trailing Stop
- Trailing SL = 0.5x Std Dev
6. สูตรคำนวณสำคัญ
1. Position Size
position_size = (account_size × risk_pct) / (sl_distance × point_value)
2. Hedge Contracts
hedge_contracts = position_size × beta
3. Profit/Loss Calculation
pnl = (exit_spread - entry_spread) × contracts × point_value
4. Risk:Reward Ratio
risk = sl_distance × contracts × point_value
reward = tp_distance × contracts × point_value
rr_ratio = reward / risk // ควร >= 2:1
5. Spread Value
spread_value = price_far - price_near
7. CHECKLIST ก่อนเทรด
☐ Z-Score >= ±2.0
☐ Correlation > 0.7
☐ Beta Hedge Ratio คำนวณแล้ว
☐ Position Size ไม่เกิน 2-3% risk
☐ TP/SL กำหนดชัดเจน
☐ Risk:Reward >= 2:1
☐ Margin เพียงพอ
☐ ตรวจสอบ Expiry Date ทั้ง 2 series
8. เทคนิคขั้นสูง
A. Calendar Roll Strategy
เมื่อ Near series ใกล้หมดอายุ:
1. ปิด Near leg
2. เปิด Next series leg ใหม่
3. รักษา Spread position ต่อไป
B. Butterfly Spread
ใช้ 3 series พร้อมกัน:
- Buy S1
- Sell 2×S2
- Buy S3
เหมาะกับตลาดไซด์เวย์
C. Dynamic Hedging
ปรับ Hedge Ratio ตาม:
- Beta ที่เปลี่ยนแปลง
- Volatility
- Time to Expiry
Vega Convexity Engine [PRO]ENGINEERED ASYMMETRY.
This is the flagship Stage 2 Specialist Model of the Vega Crypto Strategies ecosystem.
While the free "Regime Filter" tells you when to trade (filtering out chop), the Convexity Engine tells you how to trade. It activates only when the Regime Filter confirms an Impulse, classifying the specific vector of the market move to maximize risk-adjusted returns.
PRO FEATURES
This script visualizes the output of our Hierarchical Machine Learning Engine:
🚀 Directional Classification:
It does not just say "Buy." It classifies volatility into 4 distinct probability classes:
- EXPLOSION: High-confidence, high-velocity upside (Fat-Tail).
- RALLY: Standard trend continuation.
- PULLBACK: Short-term correction opportunity.
- CRASH: High-confidence downside (Long Squeeze Detection).
🛡️ Dynamic Risk Engine (Intraday Stops):
The "+" markers on your chart represent the Vega Institutional Stop Loss . These levels dynamically adjust based on Average True Range (ATR) and Volatility Z-Scores.
Strategy: If price breaches the "+" marker, the hypothesis is invalidated. Exit immediately.
📊 Institutional HUD:
A professional heads-up display showing the current Regime, Vector, and Risk Deployment status in real-time.
THE PHILOSOPHY
"Convexity" means limited downside with unlimited upside. By combining the Regime Filter (sitting in cash during noise) with Dynamic Stops (cutting losers fast), this engine is designed to capture the "fat tails" of the crypto market distribution.
🔒 HOW TO GET ACCESS
This is an Invite-Only script. It is strictly for members of Vega Crypto Strategies .
To unlock access, please visit the link in the Author Profile below or check our signature. Once subscribed via Whop, your TradingView username will be automatically authorized instantly.
Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results. Trading cryptocurrencies involves significant risk.
SuperTrend Basit v5 - Agresif//@version=5
indicator("SuperTrend Basit v5 - Agresif", overlay=true)
// === Girdi ayarları ===
factor = input.float(3.0, "ATR Katsayısı")
atrPeriod = input.int(10, "ATR Periyodu")
// === Hesaplamalar ===
= ta.supertrend(factor, atrPeriod)
// === Çizim ===
bodyColor = direction == 1 ? color.new(color.lime, 0) : color.new(color.red, 0)
bgcolor(direction == 1 ? color.new(color.lime, 85) : color.new(color.red, 85))
plot(supertrend, color=bodyColor, linewidth=4, title="SuperTrend Çizgisi") // Kalın çizgi
// === Al/Sat sinyali ===
buySignal = ta.crossover(close, supertrend)
sellSignal = ta.crossunder(close, supertrend)
plotshape(buySignal, title="AL", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.large, text="AL")
plotshape(sellSignal, title="SAT", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large, text="SAT")
GHOST SNIPERGHOST SNIPER™ – BB Reversal Engine + Smart Entry / Exit Structure Core
MNQ / MES / Stocks / ETFs / Crypto / FX
BB Reversals · Breakouts · PD Structure · Liquidity Sweeps · Displacement · Smart Targets · Quick SL & TP Logic
________________________________________
Summary
Ghost Sniper™ is a high-precision reversal and breakout engine designed for intraday scalping on MNQ/MES, while remaining highly effective across equities, ETFs, crypto, and FX.
It blends a custom Bollinger Reversal Framework (BB Bottom / BB Top Sniper) with an internal ICT-style structure core to filter noise and isolate only high-quality turning points.
The system reads stretch and failure conditions, detects band breakouts, and identifies Bollinger Band failures to anticipate sharp reversals. It includes a Quick TP (QTP) and Quick SL (SL-Q) module for micro-scalps, along with full ICT-style structural targets (TP1, TP2, TP3) for extended runs.
All TP levels and SL placement are derived from smart structural logic, designed to reduce premature stop-outs and improve fill reliability during volatility.
Real-time intrabar logic ensures entries trigger the moment structure confirms — no repainting.
________________________________________
BUY / SELL Signal Activation & Checklist HUD
Ghost Sniper™ uses a rule-based BUY / SELL triggering system driven by real-time structural confirmation — not delayed indicators or hindsight logic.
Entries only activate when a multi-condition internal checklist aligns, combining:
• Bollinger stretch, failure, or breakout behavior
• Liquidity sweep or rejection context
• Micro structure confirmation (BOS / displacement)
• Premium / Discount positioning
• Momentum and reversal candle confirmation
A built-in Checklist Activation HUD visually displays when conditions are forming, aligning, or fully confirmed, allowing traders to see why a signal is valid — not just that it fired.
BUY / SELL signals trigger only when checklist confirmation is reached, filtering low-probability setups and maintaining clean, high-quality entries.
All logic operates intrabar and in real time, with no repainting.
________________________________________
Market Structure & Context Awareness
Ghost Sniper™ incorporates a streamlined ICT-inspired framework, including:
• Liquidity sweep awareness (stop-runs and grabs)
• Micro BOS confirmation
• Premium / Discount context
• Impulse and displacement reads
• Reversal candle assist
• Optional PD / HTF alignment gates
To support institutional-grade context without visual clutter, Ghost Sniper™ also includes a comprehensive set of fully optional, user-selectable tools, allowing traders to tailor the chart to their workflow:
• VWAP
• Up to 5 configurable moving averages
• Bollinger Bands
• Automatic liquidity sweep level detection
• Opening Range Breakout (ORB)
• Midnight Open
• 9:30 AM New York Open
• Previous Day High / Low (PDH / PDL)
• Previous Week High / Low (PWH / PWL)
• Current Week High / Low (CWH / CWL)
• Monthly High / Low
• Previous Month High / Low (PMH / PML)
• Global session tracking, including:
o Asia Session
o London Session
o New York Session
All levels and context tools are individually selectable, designed to provide structure and bias awareness while keeping charts clean and focused.
________________________________________
Execution & Risk Logic
Ghost Sniper™ automatically prints clean, minimal BUY / SELL signals, intelligent stop placement, and progressive target logic:
QTP → TP1 → TP2 → TP3
A built-in Break-Even engine, structural invalidation logic, and one-trade-at-a-time control help maintain disciplined execution and consistent risk management.
Designed for traders who want a fast, decisive, and high-probability entry engine without visual noise or unnecessary complexity.
________________________________________
Disclaimer
This tool is for educational and research purposes only and is not financial advice.
Always test thoroughly in replay or paper trading before using in live markets.
Renkli EMA_MA CROSS
indicator("Renkli MA Kesişimi + Oklar", overlay=true, precision=2
fastLen = input.int(20, "Hızlı MA (Fast)")
slowLen = input.int(50, "Yavaş MA (Slow)")
maType = input.string("EMA", "MA Tipi", options= )
showArrows = input.bool(true, "Okları Göster")
fastMA = maType == "EMA" ? ta.ema(close, fastLen) : ta.sma(close, fastLen)
slowMA = maType == "EMA" ? ta.ema(close, slowLen) : ta.sma(close, slowLen)
barcolor(fastMA > slowMA ? color.new(color.green, 0) : color.new(color.red, 0))
longSignal = ta.crossover(fastMA, slowMA)
shortSignal = ta.crossunder(fastMA, slowMA)
plotshape(showArrows and longSignal, title="Al", style=shape.labelup, location=location.belowbar, color=color.green, size=size.large, text="AL")
plotshape(showArrows and shortSignal, title="Sat", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.large, text="SAT")
plot(fastMA, color=color.blue, title="Hızlı MA")
plot(slowMA, color=color.orange, title="Yavaş MA")
Smart High low Pivot Points
## Description
The **Pivot High Low Indicator** is a powerful technical analysis tool designed to automatically identify and highlight significant pivot points in price action. This indicator marks crucial reversal zones where price has formed local peaks (pivot highs) and troughs (pivot lows), helping traders spot potential support/resistance levels and trend reversal points.
The indicator features intelligent price formatting that adapts to any market - from crypto tokens to large-cap stocks - displaying values in readable formats (M/B/T notation for large numbers, precise decimals for small values).
---
## Key Features
### 🎯 **Dual Pivot Detection System**
- **Pivot Highs**: Automatically identifies local price peaks where price is higher than surrounding bars
- **Pivot Lows**: Detects local price bottoms where price is lower than surrounding bars
- Independent left/right length settings for each pivot type
### 🎨 **Fully Customizable Appearance**
- Separate color controls for pivot high and low labels
- Custom text colors for optimal visibility
- Distinct label background colors (default: green for highs, red for lows)
- Clean, non-intrusive chart overlay
### ⚙️ **Flexible Configuration**
- Adjustable left/right bar lengths for sensitivity control
- Independent settings for highs and lows
- Real-time adaptation to market conditions
---
## Benefits
✅ **Identify Key Support & Resistance Levels** - Pivot points often act as important price levels where reversals occur
✅ **Spot Trend Reversals Early** - Recognize when momentum shifts from bullish to bearish or vice versa
✅ **Enhanced Market Structure Analysis** - Understand swing highs and lows for better trade timing
✅ **Works Across All Markets** - Optimized for stocks, forex, crypto, commodities, and indices
✅ **Clean Visual Presentation** - Labeled price points directly on chart without clutter
✅ **Universal Price Display** - Automatically formats prices for readability regardless of asset value
## Settings Available
### **LENGTH LEFT / RIGHT**
| Setting | Default | Min | Description |
|---------|---------|-----|-------------|
| **Pivot High - Left** | 15 | 1 | Number of bars to the left that must be lower than the pivot high |
| **Pivot High - Right** | 15 | 1 | Number of bars to the right that must be lower than the pivot high |
| **Pivot Low - Left** | 7 | 1 | Number of bars to the left that must be higher than the pivot low |
| **Pivot Low - Right** | 7 | 1 | Number of bars to the right that must be higher than the pivot low |
**💡 Tip**: Higher values = fewer, more significant pivots. Lower values = more frequent, minor pivots.
### **TEXT COLOR / LABEL COLOR**
| Setting | Default | Description |
|---------|---------|-------------|
| **Pivot High - Text Color** | White | Color of the price text on pivot high labels |
| **Pivot High - Label Color** | Green (#005703) | Background color of pivot high labels |
| **Pivot Low - Text Color** | White | Color of the price text on pivot low labels |
| **Pivot Low - Label Color** | Red (#7b0000) | Background color of pivot low labels |
## Use Cases
- 📈 **Swing Trading**: Identify swing high/low entry and exit points
- 🎯 **Support/Resistance**: Mark key levels for limit orders
- 📊 **Market Structure**: Analyze higher highs/higher lows or lower highs/lower lows
- ⚡ **Breakout Trading**: Spot when price breaks above pivot highs or below pivot lows
- 🔄 **Reversal Trading**: Enter trades at confirmed pivot points
Single Candle Divergence E.V//AMarks single‑candle divergences between the asset on your chart and any user‑selectable second asset, displaying the second asset’s full OHLC candles in a dedicated separate panel.
Bollinger Bands with Price Labels============================================================================
BOLLINGER BANDS PRO - ENHANCED TRADING INDICATOR
============================================================================
HEADLINE: Professional Bollinger Bands with Dynamic Price Labels & Smart Alerts
DESCRIPTION:
// This advanced Bollinger Bands indicator goes beyond the basic implementation
// by providing real-time price tracking, customizable visual themes, and
// intelligent alert system for better trading decisions.
// KEY FEATURES:
• Dynamic Price Labels - Auto-formatting for readability (M/B/T for large numbers)
• Smart Alerts - Get notified on key price crossovers and band touches
• Dual Color Themes - Dark and Light modes for any chart background
• Custom Label Styling - Full control over size, shape, position, and colors
• Visual Clarity - Dotted lines connecting bands to labels
• Separate Color Zones - Different fills above/below basis for instant analysis
• Real-time Updates - Labels update dynamically with live price action
// BENEFITS OVER STANDARD BOLLINGER BANDS:
✓ No need to hover over lines to see exact prices
✓ Instant recognition of overbought/oversold zones with color coding
✓ Professional appearance with customizable branding
✓ Automated alerts eliminate constant chart monitoring
✓ Better readability for high-value assets (crypto, stocks)
✓ Cleaner charts with organized label placement
✓ Theme compatibility for day/night trading sessions
// PERFECT FOR:
- Day traders needing quick price reference
- Swing traders monitoring multiple timeframes
- Crypto traders dealing with large price numbers
- Professional chartists wanting clean, branded setups
// ========================================
Seasonality Calculator Custom Date Range AnalysisThe Seasonality Calculator lets you manually test any seasonal window by choosing a start day/month and end day/month, and then evaluating how that exact period performed historically.
For the selected date range, the script looks back over past years and calculates:
Average return
Hit rate (win rate)
Winning years vs. total years
The results are displayed in a compact on-chart table showing:
Entry date & exit date (calendar days)
Pattern length
Average return & hit rate
Win/trade count
Optionally, the indicator can also draw highlighted boxes for each year of the chosen seasonal window, so you can visually inspect how that specific date range behaved in the past.
You can:
Choose the exact start and end dates (day & month),
Set how many years of history to include,
And filter by simple regimes such as US election cycle years.
All calculations are based on daily data, and the math is consistent with the Seasonality Screener: if you take a pattern from the Screener and enter the same dates into this Calculator, you will get the same historical statistics.
Use this tool to experiment with custom seasonal ideas and to fine-tune windows you discover with the Screener, always in combination with your own analysis and risk management.
Nuclear Chain Reaction TradingThis is an aggressive pyramiding strategy mimicking a nuclear chain reaction
Supertrend with Price Label"Supertrend Indicator with Price Label Integration for Easy Viewing"
Description:
This update enhances the original Supertrend indicator by adding a price label directly on the Supertrend line. Previously, users had to either refer to the price scale or hover the cursor over the Supertrend line to view the price. With this update, the price is displayed as a label right next to the Supertrend, making it easier to track the price levels in real-time without additional effort.
Pops Dividend 7-Day RadarHow traders use it as a strategy anyway 🧠
In real life, this becomes a manual or semi-systematic strategy:
Strategy logic (human-driven):
Scan for highest yield stocks
Filter for ex-date within 7 days
Apply technical rules (trend, EMAs, support)
Enter before ex-date
Exit:
Before ex-date (momentum run-up)
On ex-date
Or after dividend (reversion play)
Indicator’s role:
“Tell me when a stock qualifies so I can decide how to trade it.”
That’s exactly what this tool does.
How we could turn this into a strategy-style framework
Even though Pine won’t let us backtest dividends properly, we can:
Build a rules-based checklist (entry/exit rules)
Create alerts that behave like strategy triggers
Combine with:
EMA trend filters
Volume conditions
ATR-based exits
Label it as:
“Pops Dividend Capture Playbook” (manual execution)
This keeps it honest, legal, and reliable.
Bottom line
🧩 Indicator = what we built
📘 Strategy = how you trade it using the indicator
⚠️ TradingView limitations prevent a true dividend strategy backtest
Seasonality Screener Best Long & Short Patterns Auto-ScanThe Seasonality Screener automatically scans a market’s history to find the most profitable seasonal patterns in the days ahead.
It searches for both long and short setups and shows you the two best patterns based on historical performance.
For each pattern, the screener looks back over past years and calculates:
Average return
Hit rate (win rate)
Winning years vs. total years
The results are displayed in a compact on-chart table with:
Entry date & exit date (calendar days)
Pattern length
Average return & hit rate
Win/trade count
Optionally, the indicator can also draw highlighted boxes in the chart’s history for the selected long and/or short pattern, so you can visually inspect how the seasonal window performed in each year.
You can:
Define how far ahead the screener should look (e.g. next X days),
Control the minimum and maximum pattern length,
Choose how many years of history to use,
And filter by simple regimes such as US election cycle years.
Internally, all calculations are based on daily data, so the seasonal analysis has to be done on the daily timeframe.
This tool is designed as a research and idea generator for seasonal tendencies and should be used together with your own risk management and trading plan.
RSI Divergence & Momentum Color//@version=5
// هذا مؤشر موحد يحدد الدايفرجنس (العادي والمخفي) ويقوم بتلوين الشموع حسب زخم RSI.
indicator(title="RSI Divergence & Momentum Color", shorttitle="RSI Divergence & MOM", overlay=true)
// --- 1. الإعدادات والمتغيرات (Inputs) ---
// إعدادات RSI
rsiLength = input.int(14, title="RSI Length", minval=1)
// إعدادات تحديد القمم والقيعان (Pivots)
pivotLeft = input.int(5, title="Pivot Lookback Left", minval=1)
pivotRight = input.int(5, title="Pivot Lookback Right", minval=1)
// --- 2. حساب مؤشر القوة النسبية (RSI Calculation) ---
rsi = ta.rsi(close, rsiLength)
// --- 3. تلوين الشموع حسب الزخم (RSI Momentum Color) ---
// فحص: هل RSI الحالي أكبر من RSI السابق؟
isRSIUp = rsi > rsi
// تحديد اللون بناءً على الشرط
var color colorRSI = na
// تلوين الشمعة باللون الأخضر إذا كان RSI صاعداً، وبالأحمر إذا كان هابطاً
if isRSIUp
colorRSI := color.new(color.green, 60) // أخضر فاتح
else
colorRSI := color.new(color.red, 60) // أحمر فاتح
// تطبيق تلوين الشمعة على الشارت الرئيسي
barcolor(colorRSI)
// --- 4. تحديد الدايفرجنس (Divergence Detection) ---
// تحديد القمم والقيعان على السعر
price_high_pivot = ta.pivothigh(high, pivotLeft, pivotRight)
price_low_pivot = ta.pivotlow(low, pivotLeft, pivotRight)
// تحديد القمم والقيعان على RSI
rsi_high_pivot = ta.pivothigh(rsi, pivotLeft, pivotRight)
rsi_low_pivot = ta.pivotlow(rsi, pivotLeft, pivotRight)
// *** المنطق المباشر للدايفرجنس (تظهر الإشارة عند القمة/القاع المكتملة) ***
// 🔵 الدايفرجنس العادي الصعودي (Regular Bullish Div)
isRegBull = price_low_pivot and rsi_low_pivot and low < low and rsi > rsi
// 🔴 الدايفرجنس العادي الهبوطي (Regular Bearish Div)
isRegBear = price_high_pivot and rsi_high_pivot and high > high and rsi < rsi
// 🟪 الدايفرجنس المخفي الصعودي (Hidden Bullish Div)
isHiddenBull = price_low_pivot and rsi_low_pivot and low > low and rsi < rsi
// 🟧 الدايفرجنس المخفي الهبوطي (Hidden Bearish Div)
isHiddenBear = price_high_pivot and rsi_high_pivot and high < high and rsi > rsi
// --- 5. رسم إشارات الدايفرجنس على السعر (Plotting Shapes) ---
// رسم الإشارات على الشارت الرئيسي (لتحديد مناطق الانعكاس/الاستمرار)
// 1. عادي صعودي (انعكاس)
plotshape(isRegBull, title="Regular Bullish Div", location=location.belowbar, style=shape.triangleup, color=color.green, size=size.small)
// 2. عادي هبوطي (انعكاس)
plotshape(isRegBear, title="Regular Bearish Div", location=location.abovebar, style=shape.triangledown, color=color.red, size=size.small)
// 3. مخفي صعودي (استمرار)
plotshape(isHiddenBull, title="Hidden Bullish Div", location=location.belowbar, style=shape.diamond, color=color.blue, size=size.small)
// 4. مخفي هبوطي (استمرار)
plotshape(isHiddenBear, title="Hidden Bearish Div", location=location.abovebar, style=shape.diamond, color=color.orange, size=size.small)
// --- 6. عرض مؤشر RSI في نافذة فرعية (Sub-Window) ---
// يجب إضافة مؤشر RSI بشكل منفصل لترى الدايفرجنس على منحنى RSI
// لكي تظهر الخطوط على منحنى RSI، يجب عليك إضافة كود المؤشر السابق (RSI Divergence Detector (Full))
// على نافذة RSI، ولكن هذا يتعارض مع طلبك دمج كل شيء.
// أفضل طريقة هي: قم بإضافة هذا المؤشر إلى الشارت، ثم أضف مؤشر RSI الافتراضي إلى نافذة جديدة.
// أو يمكنك إنشاء مؤشر RSI منفصل خاص بك في نافذة فرعية:
plot(rsi, title="RSI Value", color=color.rgb(100, 150, 200), display=display.none) // لا تعرض في الشارت الرئيسي
// لعرض RSI في نافذة فرعية، قم بإنشاء مؤشر جديد واضبط overlay=false
// أو استخدم المؤشر التالي (بما أن هذا المؤشر يحتوي على overlay=true، لن يرسم RSI أسفل الشارت).
// --- ملاحظة أخيرة: لرسم الخطوط على RSI أسفل الشارت ---
// لتحقيق ذلك بالضبط، يجب كتابة مؤشر ثانٍ بـ (overlay=false)
// يحتوي على نفس منطق الدايفرجنس. لتجنب ذلك، يكتفي هذا الكود برسم الإشارات
// على السعر (overlay=true) وتلوين الشموع.
ICT Bias (Dynamic Timeframe By Hayk Trading)This indicator designed to offer context, not signals, helping traders stay aligned with the broader directional flow of the market.
Bias States:
Bullish: Market conditions favor higher prices during the trading day.
Bearish: Market conditions favor lower prices during the trading day.
Neutral: No clear directional advantage is present.
This tool is intended to support:
Directional filtering for intraday trading
Improved trade discipline
Reduced overtrading in unfavorable conditions
The Daily Bias does not predict price, provide entries, or guarantee outcomes. It simply highlights the prevailing directional environment for the session.
Use it as a decision-support tool, not as a standalone trading system.
ShayanFx XAU M5 This indicator starts working at 8 am New York market time and you have 3 hours to get signals from it.
We enter a trade on any candle that gives a signal. We place the stop loss behind the same candle and take a reward of 2.
We are not allowed to take more than 2 trades during the day. If the first trade is closed with profit, we will not open another trade, but if the first trade is closed with loss, we are allowed to take another signal.
Volatility Ranges [MTF]Description This indicator is a comprehensive Volatility Analysis tool that calculates and projects the statistical expected ranges for the current Day, Week, and Month. It is designed to help traders identify potential exhaustion points, breakouts, and dynamic Support & Resistance levels based on historical volatility.
Underlying Concepts & Methodology The script calculates the Average True Range (ATR) equivalent for three distinct timeframes:
ADR (Average Daily Range): Calculates the average volatility of the last X days (default 22).
AWR (Average Weekly Range): Calculates the average volatility of the last X weeks (default 13).
AMR (Average Monthly Range): Calculates the average volatility of the last X months (default 6).
Calculation Logic:
Range Calculation: It computes the True Range (High - Low, accounting for gaps) for the specified lookback period and applies a Simple Moving Average (SMA) to smooth the data.
Projection: These calculated ranges are then projected from a reference point (usually the Open price of the respective period).
Key Levels: The script plots not just the 100% range, but also intermediate levels (25%, 50%, 75%) and expansion levels (up to 200%) to gauge the intensity of the trend.
Scales: It features a unique option to switch between Linear and Logarithmic scaling, ensuring accuracy for assets with large percentage moves.
How to Use
Exhaustion: When price reaches the 100% (High/Low) lines, it implies the asset has fulfilled its average statistical move for the period, often leading to consolidation or reversal.
Breakouts: Closing consistently beyond the 100% level indicates a high-momentum "Expansion Day/Week".
Confluence: Look for areas where Daily, Weekly, and Monthly lines overlap to find strong support/resistance zones.
Settings
Fully customizable colors and line styles for each timeframe.
Toggle independent visibility for ADR, AWR, and AMR.
Option to extend lines into the future for predictive analysis.
