交易区本地时间This is a practical timezone display indicator designed specifically for forex and global market traders, showing real-time current times of three major financial centers in a clear table format at the top-right corner of the chart: Tokyo, New York, and London.
✨ Key Features
🗾 Tokyo Time - Asian trading session reference
🗽 New York Time - American trading session reference
🏛️ London Time - European trading session reference
📅 Complete Date & Time - Display format: MM-DD HH:MM
🔄 Automatic DST - Smart handling of daylight saving time transitions
🎨 Color Coding - Different colors for different timezone identification
⚡ Real-time Updates - Based on current timestamp, accurate with no delay
💼 Use Cases
Forex Traders - Track major financial center opening/closing times
Global Market Analysis - Understand market activity across different timezones
News Trading - Master timing of important economic data releases
Multi-timezone Coordination - Time management tool for international investors
这是一个专为外汇和全球市场交易者设计的实用时区显示指标，在图表右上角以清晰的表格形式实时显示三大主要金融中心的当前时间：东京、纽约和伦敦。
✨ 主要功能
🗾 东京时间 - 亚洲交易时段参考
🗽 纽约时间 - 美洲交易时段参考
🏛️ 伦敦时间 - 欧洲交易时段参考
📅 完整日期时间 - 显示格式：MM-DD HH:MM
🔄 自动夏令时 - 智能处理冬令时/夏令时切换
🎨 色彩区分 - 不同颜色标识不同时区
⚡ 实时更新 - 基于当前时间戳，准确无延迟
💼 适用场景
外汇交易者 - 把握各大金融中心开盘收盘时间
全球市场分析 - 了解不同时区的市场活跃度
新闻交易 - 掌握重要经济数据发布时间
多时区协调 - 国际投资者的时间管理工具
Penunjuk dan strategi
RockstarrFX — Stochastic OB/OS Cross SignalsThe RockstarrFX Stochastic Cross Strategy (5/3/3) is a clean, professional-grade tool that plots %K and %D lines and generates buy/sell signals only in high-probability zones.
🔑 How it works:
Buy (B): %K crosses above %D in/near oversold (≤22)
Sell (S): %K crosses below %D in/near overbought (≥78)
⚙️ Features:
Built on the classic Stochastic 5/3/3 oscillator
Signals filtered to appear only in OB/OS regions (reducing false triggers)
Default label size = Tiny (with options for Small/Normal)
Optional OB/OS shading for quick context
Mono-inspired muted colors for a clean charting experience
🔥 Designed for traders who rely on momentum shifts, reversals, and confluence setups. Works across all timeframes — forex, crypto, indices, and stocks.
🔍 Keywords (SEO): stochastic oscillator, stochastic cross strategy, overbought oversold signals, stochastic indicator, momentum trading, stochastic trading system, buy sell signals.
⚡ Part of the RockstarrFX 3-Step Setup Toolkit.
⚠️ Disclaimer: This script is published for educational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Past performance is not indicative of future results. Always test on demo before using in live markets and trade responsibly.
Marubozu Detector with Dynamic SL/TP
Strategy Overview:
This indicator detects a "Marubozu" bullish pattern or a “Marubozu” bearish pattern to suggest potential buy and sell opportunities. It uses dynamic Stop Loss (SL) and Take Profit (TP) management, based on either market volatility (ATR) or liquidity zones.
This tool is intended for educational and informational purposes only.
Key Features:
Entry: Based on detecting Marubozu bullish or bearish candle pattern.
Exit: Targets are managed through ATR multiples or previous liquidity levels (swing highs or swing lows).
Smart Liquidity: Optionally identify deeper liquidity targets.
Full Alerts: Buy and Sell signals supported with customizable alerts.
Visualized Trades: Entry, SL, and TP levels are plotted on the chart.
User Inputs:
ATR Length, ATR Multipliers
Take Profit Mode (Liquidity/ATR)
Swing Lookback and Strength
Toggleable Buy/Sell alerts
All Time Frames
📖 How to Use:
Add the Indicator:
Apply the script to your chart from the TradingView indicators panel.
Look for Buy Signals:
A buy signal is triggered when the script detects a "Marubozu" bullish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Look for Sell Signals:
A Sell signal is triggered when the script detects a "Marubozu" bearish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Choose Take Profit Mode:
ATR Mode: TP is based on a volatility target.
Liquidity Mode: TP is based on past swing highs.
Set Alerts (Optional):
Enable Buy/Sell alerts in the settings to receive real-time notifications.
Practice First:
Always backtest and paper trade before live use.
📜 Disclaimer:
This script does not offer financial advice.
No guarantees of profit or performance are made.
Use in demo accounts or backtesting first.
Always practice proper risk management and seek advice from licensed professionals if needed.
✅ Script Compliance:
This script is designed in full accordance with TradingView’s House Rules for educational tools.
No financial advice is provided, no performance is guaranteed, and users are encouraged to backtest thoroughly.
MTF-Hidden Breaker Blocks TrackerThe MT-Hidden Breaker Blocks Tracker is a powerful indicator designed for SMC traders. Rooted in Smart Money Concepts (SMC), it uncovers institutional order flow by identifying Order Blocks (OB), Breaker Blocks (BB), and Partial Breaker Blocks (PBB) across multiple timeframes, revealing hidden liquidity zones for precise market structure analysis.
═══════ Key Features ═══════
Smart Money Detection: Order Blocks (OB): Pinpoints key candles before major market moves, marking institutional entry zones.
Breaker Blocks (BB): Detects OBs aligned with Fair Value Gaps (FVGs), signaling liquidity zones.
Partial Breaker Blocks (PBB): Tracks partially mitigated BBs for reaccumulation or distribution setups.
The MT-Hidden Breaker Blocks Tracker features a REPLAY-MODE that allows traders to analyze historical Order Blocks (OB), Breaker Blocks (BB), and Partial Breaker Blocks (PBB) with Fair Value Gaps (FVGs) directly on the current timeframe, enabling precise backtesting of SMC strategies.
Multi-Timeframe Liquidity Analysis: 70 pre-configured timeframes across five groups:
Group 1: Minutes & Hours (5m–4h)
Group 2: Hours (5h–23h)
Group 3: Days (1D–19D)
Group 4: Weeks (1W–12W)
Group 5: Months (1M–12M)
Group 6: 19 customizable timeframes for tailored strategies.
Advanced SMC Tools: FVG Filter: Enhances BB/PBB signals with 1–5 FVGs for high-probability setups.
Dynamic Mitigation: Monitors block mitigation in real-time with adjustable thresholds.
Columnar Confluence Display: Visualizes liquidity zones in timeframe-specific columns, highlighting multi-timeframe confluence.
Non-24/7 Market Support: Handles gaps in equities and forex markets.
Auto-Current Timeframe: Displays analysis for the chart’s active timeframe.
Visual Customization: Configurable bull/bear block colors.
Adjustable borders, widths, and timeframe labels with FVG counts.
Extended box projections for forecasting price action.
Clean, non-obtrusive overlay for seamless chart integration.
═══════ How It Works ═══════
The MT-HiddenLiquidityTracker leverages SMC principles to detect institutional order flow by analyzing Order Blocks and their evolution into Breaker or Partial Breaker Blocks. It scans multiple timeframes to uncover liquidity pools, using FVGs to filter high-probability signals. The columnar display highlights confluence zones, making it easy to spot where smart money activity converges, ideal for SMC trading strategies.
═══════ How to Use ═══════
Select Timeframe Group: Choose Current, Groups 1–5, or Custom timeframes.
Configure Block Types: Enable OB-only, BB/PBB-only, or all blocks.
Set FVG Filter: Specify 1–5 FVGs for BB/PBB detection (optional).
Customize Visuals: Adjust colors, labels, borders, and box extensions.
Tune Detection: Set OB sensitivity and mitigation thresholds.
═══════ Why It Stands Out ═══════
Unlike generic indicators, the MT-Hidden Breaker Blocks Tracker combines SMC-based liquidity hunting with multi-timeframe analysis, offering a unique approach to institutional order flow. Its FVG filtering, extensive timeframe options, and columnar confluence display provide clarity for ICT/SMC traders seeking high-probability setups in forex, crypto, and indices.
═══════ Best Practices ═══════
Prioritize higher-timeframe blocks (Groups 3–6) for major liquidity zones.
Combine with volume or price action for signal confirmation.
Use FVG counts to assess block strength.
Target confluence zones for stronger trade setups.
═══════ Performance Notes ═══════
Optimized for real-time analysis with efficient rendering.
Manages visuals within TradingView’s limits.
Supports historical analysis up to 10,000 bars.
Built in Pine Script v6, Beta version.
═══════ Access ═══════
This is an invite-only script.
Contact LiquidityForgeSMC via TradingView’s messaging system for details.
═══════ Disclaimer ═══════
This indicator is for educational and analytical purposes only and does not constitute financial, investment, or trading advice. Always conduct your own analysis before trading. The indicator is in active development, with additional SMC features planned for future updates.
INSTRUCTIONS: www.youtube.com
Multi-Leg Option Combined PremiumMulti-Leg Option Combined Premium Indicator
Overview
The Multi-Leg Option Combined Premium Indicator is a powerful and versatile tool designed for options traders to analyze and visualize multi-leg option strategies on Indian indices (NIFTY, BANKNIFTY, SENSEX). This TradingView Pine Script (v6) indicator calculates the combined premium of up to four option legs, displays the strategy in a customizable table, and overlays user-selected technical indicators (e.g., SMA, RSI, MACD) to aid in decision-making. Whether you're trading straddles, strangles, or complex strategies like Iron Condors, this indicator streamlines premium tracking and trend analysis, making it ideal for both novice and experienced traders.
Key Features
Multi-Leg Strategy Support:
Choose from 19 predefined option strategies, including Long Straddle, Short Strangle, Iron Condor, Bull Call Spread, and more, or create a custom strategy with up to four legs.
Configure each leg with specific expiry dates, strike prices, option types (Call/Put), and positions (Long/Short) with adjustable quantities.
Automatically calculates the combined premium, accounting for the direction (long/short) and quantity of each leg.
Index-Specific Customization:
Supports three major Indian indices: NIFTY, BANKNIFTY, and SENSEX.
Index-specific expiry dates:
NIFTY: Weekly (Tuesdays) and monthly (last Tuesday) expiries (e.g., 09-Sep-2025 to 04-Nov-2025).
BANKNIFTY: Monthly (last Wednesday) expiries (e.g., 25-Sep-2025 to 29-May-2026).
SENSEX: Weekly (Fridays) and monthly (last Friday) expiries (e.g., 11-Sep-2025 to 06-Nov-2025).
Adjustable ATM strike levels and strike width multipliers for precise strategy setup.
Technical Indicator Overlay:
Overlay one of 10 popular technical indicators on the combined premium chart: SMA, EMA, RSI, MACD, Bollinger Bands, ATR, Stochastic, Williams %R, CCI, or ADX.
Customize indicator parameters (e.g., RSI length, MACD fast/slow lengths) to align with your trading style.
Visual cues: Combined premium is color-coded (red/green/blue for credits, red/green/orange for debits) based on its position relative to the selected indicator.
Dynamic Table Display:
Displays a detailed table summarizing the strategy, including:
Instrument (NIFTY/BSX), expiry, option type, strike, position, premium, and quantity per leg.
Net position (Credit/Debit) and total combined premium.
Customizable table size (tiny, small, normal) and position (e.g., top-right, bottom-left).
Option to toggle P&L info (quantity column) for clarity.
Alert Integration:
Built-in alert functionality to log strategy details (timestamp, index, strategy, premium, indicator value, credit/debit status) to external services like Google Sheets via webhooks.
Example: Trigger alerts at specific times (e.g., 9:30 AM on 05-Sep-2025) or on new bars for real-time tracking.
Visual Feedback:
Plots the combined premium with dynamic coloring to reflect market conditions.
Indicator-specific visuals (e.g., Bollinger Bands upper/lower lines, RSI overbought/oversold levels, MACD signal line).
Background coloring to indicate net credit (blue) or debit (orange) strategies.
How It Works
Select an Index: Choose NIFTY, BANKNIFTY, or SENSEX to load index-specific prefixes (NSE:/BSE:) and expiry dates.
Choose a Strategy: Select a predefined strategy (e.g., Long Straddle, Iron Condor) or configure a custom strategy with up to four legs.
Set Parameters: Adjust ATM strike, strike width multiplier, and expiry dates. For custom strategies, specify each leg’s expiry, type, strike, position, and quantity.
Apply Technical Indicators: Pick an indicator (e.g., RSI, MACD) and customize its settings to analyze the combined premium’s trend.
View Results: The indicator calculates the combined premium, displays it in a table, and plots it with the selected indicator. Alerts can send data to external services for logging.
Analyze and Trade: Use the premium plot and indicator signals to make informed trading decisions, with the table providing a clear overview of your strategy.
Benefits
Time-Saving: Automates premium calculations for complex multi-leg strategies, reducing manual effort.
Flexible: Supports a wide range of strategies and indices, with customizable inputs for tailored analysis.
Visual Clarity: Combines premium data with technical indicators in an easy-to-read chart and table format.
Actionable Insights: Color-coded plots and alerts help traders identify trends and track performance.
External Logging: Seamlessly integrates with webhooks for real-time data logging to tools like Google Sheets.
Usage Instructions
Add to Chart: Apply the indicator to a TradingView chart for NIFTY, BANKNIFTY, or SENSEX.
Configure Inputs:
Select the index and strategy from the dropdowns.
Adjust ATM strike, strike width, and expiry dates as needed.
Choose a technical indicator and tweak its parameters.
Set table preferences (size, position, P&L info).
Set Up Alerts (Optional):
Create a TradingView alert with a webhook URL pointing to a service like Pabbly Connect or Zapier.
Use the alert’s JSON output to log data to Google Sheets (e.g., timestamp, strategy, premium).
Interpret Results:
Monitor the premium plot (colored based on trend relative to the indicator).
Review the table for leg details and net position.
Use alerts to track strategy performance externally.
Ideal For
Options Traders: Perfect for traders focusing on Indian indices, seeking to analyze multi-leg strategies like straddles, spreads, or condors.
Technical Analysts: Combines option premiums with technical indicators for trend-based trading decisions.
Portfolio Managers: Useful for tracking premium changes and logging performance for later analysis.
Notes
Data Requirements: Ensure your TradingView account has access to real-time data for NIFTY, BANKNIFTY, or SENSEX options. Invalid symbols may return na values.
Alerts: Webhook setup requires a third-party service (e.g., Pabbly Connect, Zapier) to log data to Google Sheets. Refer to the included guide for setup details.
Performance: Best used on timeframes aligned with option expiries (e.g., daily or intraday).
Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Always conduct your own analysis before trading.
Support
For setup assistance, bug reports, or feature requests, contact the developer via . Premium subscribers receive priority support and access to exclusive features like webhook setup guides.
sHip Crypto Buy/Sell Pro BTC 15minThis is a 15min BTC buy sell indicator that is made by Ai. Have not tested yet but you can give it a go if you want.
Trading Sessions with Holidays & Timer🌍 Trading Sessions Matter
Markets breathe in cycles. When Tokyo, London, or New York steps in, liquidity shifts and price often reacts fast.
Example: New York closed BTC at $110K, and when traders woke up, the price was already $113K. That gap says everything about overnight pressure and the next move.
⚡ Indicator Features
✅ Session boxes (Tokyo, London, NY) with custom colors & time zones
✅ Open/close lines → spot gaps & momentum
✅ Average price per session → see where pressure builds
✅ Tick range → quick volatility check
✅ 🏖 Holiday markers → avoid false quiet markets
✅ Live status table → session OPEN / CLOSED + countdown timer
🚀 How to Use
Works on intraday timeframes (1m–4h)
Watch session opens/closes → liquidity shift points
Compare ranges & averages between Tokyo, London, NY
Use the timer to prep before the next wave
This tool helps you visualize the heartbeat of global markets session by session.
🔖 #BTCUSDT #Forex #TradingSessions #Crypto #DayTrading
Global Sessions Background (Auto DST) — US · EU · ASIA[by Irum]목적 & 정의 (KR/EN)
목적 (KR)
차트에 미국/유럽/아시아 주요 세션을 자동으로 음영 처리하여, 시세 흐름을 세션 맥락(개장/중첩/점심 휴장 등) 속에서 빠르게 파악하도록 돕습니다. DST(서머타임)를 IANA 타임존 기반으로 자동 반영합니다.
Definition (EN)
Shade the chart background for US/EU/ASIA sessions so you can instantly read price action in the right session context (open/overlap/lunch break). Daylight Saving Time is auto-handled via IANA time zones.
설정 메뉴 매뉴얼 (KR/EN)
1) 시각화 / Visualization
투명도 / Transparency (int 0~100, 기본 85)
KR: 배경 투명도. 0=진하게, 100=완전 투명.
EN: Background opacity. 0=solid, 100=fully transparent.
표시 우선순위 / Draw Priority (옵션)
KR: 세션 겹침 시 오른쪽 항목일수록 최종 표시. 예) US > EU > ASIA면 US가 최우선.
EN: When sessions overlap, the rightmost wins. E.g., US > EU > ASIA gives top priority to US.
세션 라벨 표시 / Show session labels (bool)
KR: 세션 시작봉에 “US/EU/ASIA” 라벨을 소형으로 표시.
EN: Drops a tiny “US/EU/ASIA” label at each session start bar.
2) 미국장 / US Session
미국장 배경 표시 / Show US session (bool)
KR: 미국장 음영 켬/끔.
EN: Toggle US shading.
미국 타임존 (IANA) / US Timezone (IANA) (string)
KR: 기본 America/New_York. IANA이므로 DST 자동 반영.
EN: Default America/New_York. IANA tz, DST auto-handled.
정규장(RTH) / Regular Trading Hours (session)
KR: 기본 0930-1600. 필요 시 수정.
EN: Default 0930-1600. Adjust as needed.
프리마켓·애프터 포함 / Include pre/after (bool)
KR: 프리마켓/애프터 시간도 함께 음영.
EN: Include pre-market and after-hours shading.
프리마켓 / Pre-market (session), 애프터마켓 / After-hours (session)
KR/EN: 세부 시간 개별 지정.
배경색 / Background color (color)
KR/EN: 미국장 음영 색상.
3) 유럽장 / Europe Session
유럽장 배경 표시 / Show EU session (bool)
유럽 타임존 (IANA) / Europe Timezone (IANA) (string) — 기본 Europe/London
정규장 / Regular Trading Hours (session) — 기본 0800-1630
배경색 / Background color (color)
(KR/EN 동일 의미. DST 자동 반영.)
4) 아시아장 / Asia Session
아시아장 배경 표시 / Show Asia session (bool)
아시아 타임존 (IANA) / Asia Timezone (IANA) (string) — 기본 Asia/Seoul
분할세션 사용(점심휴장) / Use split sessions (bool)
KR: 켜면 오전/오후(점심 휴장)로 분할 적용.
EN: If ON, use morning/afternoon split around lunch break.
연속 세션 / Continuous session (session) — 기본 0900-1530
오전 / Morning (session) — 기본 0900-1130
오후 / Afternoon (session) — 기본 1230-1530
배경색 / Background color (color)
Savitzky-Golay Hampel Filter | AlphaNattSavitzky-Golay Hampel Filter | AlphaNatt
A revolutionary indicator combining NASA's satellite data processing algorithms with robust statistical outlier detection to create the most scientifically advanced trend filter available on TradingView.
"This is the same mathematics that processes signals from the Hubble Space Telescope and analyzes data from the Large Hadron Collider - now applied to financial markets."
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🚀 SCIENTIFIC PEDIGREE
Savitzky-Golay Filter Applications:
NASA: Satellite telemetry and space probe data processing
CERN: Particle physics data analysis at the LHC
Pharmaceutical: Chromatography and spectroscopy analysis
Astronomy: Processing signals from radio telescopes
Medical: ECG and EEG signal processing
Hampel Filter Usage:
Aerospace: Cleaning sensor data from aircraft and spacecraft
Manufacturing: Quality control in precision engineering
Seismology: Earthquake detection and analysis
Robotics: Sensor fusion and noise reduction
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🧬 THE MATHEMATICS
1. Savitzky-Golay Filter
The SG filter performs local polynomial regression on data points:
Fits a polynomial of degree n to a sliding window of data
Evaluates the polynomial at the center point
Preserves higher moments (peaks, valleys) unlike moving averages
Maintains derivative information for true momentum analysis
Originally published in Analytical Chemistry (1964)
Mathematical Properties:
Optimal smoothing in the least-squares sense
Preserves statistical moments up to polynomial order
Exact derivative calculation without additional lag
Superior frequency response vs traditional filters
2. Hampel Filter
A robust outlier detector based on Median Absolute Deviation (MAD):
Identifies outliers using robust statistics
Replaces spurious values with polynomial-fitted estimates
Resistant to up to 50% contaminated data
MAD is 1.4826 times more robust than standard deviation
Outlier Detection Formula:
|x - median| > k × 1.4826 × MAD
Where k is the threshold parameter (typically 3 for 99.7% confidence)
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💎 WHY THIS IS SUPERIOR
vs Moving Averages:
Preserves peaks and valleys (critical for catching tops/bottoms)
No lag penalty for smoothness
Maintains derivative information
Polynomial fitting > simple averaging
vs Other Filters:
Outlier immunity (Hampel component)
Scientifically optimal smoothing
Preserves higher-order features
Used in billion-dollar research projects
Unique Advantages:
Feature Preservation: Maintains market structure while smoothing
Spike Immunity: Ignores false breakouts and stop hunts
Derivative Accuracy: True momentum without additional indicators
Scientific Validation: 60+ years of academic research
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⚙️ PARAMETER OPTIMIZATION
1. Polynomial Order (2-5)
2 (Quadratic): Maximum smoothing, gentle curves
3 (Cubic): Balanced smoothing and responsiveness (recommended)
4-5 (Higher): More responsive, preserves more features
2. Window Size (7-51)
Must be odd number
Larger = smoother but more lag
Formula: 2×(desired smoothing period) + 1
Default 21 = analyzes 10 bars each side
3. Hampel Threshold (1.0-5.0)
1.0: Aggressive outlier removal (68% confidence)
2.0: Moderate outlier removal (95% confidence)
3.0: Conservative outlier removal (99.7% confidence) (default)
4.0+: Only extreme outliers removed
4. Final Smoothing (1-7)
Additional WMA smoothing after filtering
1 = No additional smoothing
3-5 = Recommended for most timeframes
7 = Ultra-smooth for position trading
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📊 TRADING STRATEGIES
Signal Recognition:
Cyan Line: Bullish trend with positive derivative
Pink Line: Bearish trend with negative derivative
Color Change: Trend reversal with polynomial confirmation
1. Trend Following Strategy
Enter when price crosses above cyan filter
Exit when filter turns pink
Use filter as dynamic stop loss
Best in trending markets
2. Mean Reversion Strategy
Enter long when price touches filter from below in uptrend
Enter short when price touches filter from above in downtrend
Exit at opposite band or filter color change
Excellent for range-bound markets
3. Derivative Strategy (Advanced)
The SG filter preserves derivative information
Acceleration = second derivative > 0
Enter on positive first derivative + positive acceleration
Exit on negative second derivative (momentum slowing)
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📈 PERFORMANCE CHARACTERISTICS
Strengths:
Outlier Immunity: Ignores stop hunts and flash crashes
Feature Preservation: Catches tops/bottoms better than MAs
Smooth Output: Reduces whipsaws significantly
Scientific Basis: Not curve-fitted or optimized to markets
Considerations:
Slight lag in extreme volatility (all filters have this)
Requires odd window sizes (mathematical requirement)
More complex than simple moving averages
Best with liquid instruments
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🔬 SCIENTIFIC BACKGROUND
Savitzky-Golay Publication:
"Smoothing and Differentiation of Data by Simplified Least Squares Procedures"
- Abraham Savitzky & Marcel Golay
- Analytical Chemistry, Vol. 36, No. 8, 1964
Hampel Filter Origin:
"Robust Statistics: The Approach Based on Influence Functions"
- Frank Hampel et al., 1986
- Princeton University Press
These techniques have been validated in thousands of scientific papers and are standard tools in:
NASA's Jet Propulsion Laboratory
European Space Agency
CERN (Large Hadron Collider)
MIT Lincoln Laboratory
Max Planck Institutes
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💡 ADVANCED TIPS
News Trading: Lower Hampel threshold before major events to catch spikes
Scalping: Use Order=2 for maximum smoothness, Window=11 for responsiveness
Position Trading: Increase Window to 31+ for long-term trends
Combine with Volume: Strong trends need volume confirmation
Multiple Timeframes: Use daily for trend, hourly for entry
Watch the Derivative: Filter color changes when first derivative changes sign
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⚠️ IMPORTANT NOTICES
Not financial advice - educational purposes only
Past performance does not guarantee future results
Always use proper risk management
Test settings on your specific instrument and timeframe
No indicator is perfect - part of complete trading system
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🏆 CONCLUSION
The Savitzky-Golay Hampel Filter represents the pinnacle of scientific signal processing applied to financial markets. By combining polynomial regression with robust outlier detection, traders gain access to the same mathematical tools that:
Guide spacecraft to other planets
Detect gravitational waves from black holes
Analyze particle collisions at near light-speed
Process signals from deep space
This isn't just another indicator - it's rocket science for trading .
"When NASA needs to separate signal from noise in billion-dollar missions, they use these exact algorithms. Now you can too."
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Developed by AlphaNatt
Version: 1.0
Release: 2025
Pine Script: v6
"Where Space Technology Meets Market Analysis"
Not financial advice. Always DYOR
NK-MACD + RSI3Fetches MACD and RSI for six timeframes (15m, 1h, 4h, D, W, M) using request. ,Converts MACD into four states (P+, P-, N-, N+) to show momentum direction/strength. Color-codes RSI levels (<40 red, 40–60 orange, >60 green). Saves time — no need to switch charts for top-down analysis. Helps confirm trends and filter trades with clear visual cues. Unique dashboard layout provides immediate market snapshot.
Originality → Shows how you transformed basic MACD/RSI into a multi-timeframe confluence dashboard.
Usefulness → Explains how it helps traders make faster, better decisions.
Transparency → Explains how the script works without revealing private code.
Compliance → Promises a clean chart for republishing.
LFT strategy Main Reversion
this script will tell exactly when to buy and sell with TP and SL, used the latest LLM to tone the model with a profit ratio of 2.05 in 6 years and profit ratio of 4.02 in past 6 month and have been back tested with Monte Carlo simulation, with profit ratio 1+ for 99% of the time with 1000 iterations with 500 steps, for 100 times
please contact LFT Foundation for access
PCV (Darren.L-V2)Description:
This indicator combines Bollinger Bands, CCI, and RVI to help identify high-probability zones on M15 charts.
Features:
Bollinger Bands (BB) – displayed on the main chart in light gray. Helps visualize overbought and oversold price levels.
CCI ±100 levels + RVI – displayed in a separate sub-window:
CCI only shows the ±100 reference lines.
RVI displays a cyan main line and a red signal line.
Valid Zone Detection:
Candle closes outside the Bollinger Bands.
RVI crosses above +100 or below -100 (CCI level reference).
Candle closes back inside the BB, confirming a price rebound.
Requires two touches in the same direction to confirm the zone.
Only zones within 20–30 pips range are considered valid.
Usage:
Helps traders spot reversal or bounce zones with clear visual signals.
Suitable for all indices, Forex, and crypto on M15 timeframe.
VWAP Pro v6 (Color + Bands)AI helped me code VWAP
When price goes above VWAP line, VWAP line will turn green to indicate buyers are in control.
When price goes below VWAP line, VWAP line will turn red to indicate sellers are in control.
VWAP line stays blue when price is considered fair value.
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools.
Recommended Input Parameters
These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading.
Fast EMA Length (emaFastLen): 9
Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe.
Slow EMA Length (emaSlowLen): 21
Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction.
RSI Length (rsiLen): 14
Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes.
RSI Overbought (rsiOverbought): 75
Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets.
RSI Oversold (rsiOversold): 25
Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals.
MACD Fast Length (macdFast): 12
Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals.
MACD Slow Length (macdSlow): 26
Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much.
MACD Signal Smoothing (macdSignal): 9
Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart.
Bollinger Bands Length (bbLen): 20
Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets.
Bollinger Bands Multiplier (bbMult): 2.0
Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets.
Stop Loss % (slPerc): 0.8%
Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable.
Take Profit % (tpPerc): 1.5%
Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits.
Use Candlestick Patterns (useCandlePatterns): True
Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets.
Use Volume Filter (useVolumeFilter): True
Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets.
Signal Arrow Size (signalSize): 2.0
Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action.
Background Highlight Transparency (bgTransparency): 85
Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter.
How to Apply These Parameters
Copy the Script: Use the Pine Script provided in the previous response.
Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart."
Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields.
Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart.
Fine-Tuning for Optimal Performance
To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features:
Backtesting:
Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance).
Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester.
Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways).
Parameter Optimization:
In the Strategy Tester, click the settings gear next to the strategy name.
Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0).
Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data.
Market-Specific Adjustments:
Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings.
Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better.
Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends.
Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise.
Forward Testing:
After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions.
Important Notes
No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices.
Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance.
Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare.
Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds.
If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
PCV Setup (By Darren.L)The PCV Setup is designed for M15 scalping trading.
It combines Bollinger Bands (volatility), CCI (momentum), and RVI (trend confirmation) to filter false signals and improve accuracy.
4H Candles High and Lows (#1-6) UTC - Last 32h - Colored BlocksThis script creates horizontal rays on the high and low in a 4 Hour period.
Trend Score HTF (Raw Data) Pine Screener📘 Trend Score HTF (Raw Data) Pine Screener — Indicator Guide
This indicator tracks price action using a custom cumulative Trend Score (TS) system. It helps you visualize trend momentum, detect early reversals, confirm direction changes, and screen for entries across large watchlists like SPX500 using TradingView’s Pine Script Screener (beta).
⸻
🔧 What This Indicator Does
• Assigns a +1 or -1 score when price breaks the previous high or low
• Accumulates these scores into a real-time tsScore
• Detects early warnings (primed flips) and trend changes (confirmed flips)
• Supports alerts and labels for visual and automated trading
• Designed to work inside the Pine Screener so you can filter hundreds of tickers live
⸻
⚙️ Recommended Settings (for Beginners)
When adding the indicator to your chart:
Go to the “Inputs” tab at the top of the settings panel.
Then:
• Uncheck “Confirm flips on bar close”
• Check “Accumulate TS Across Flips? (ON = non-reset, OFF = reset)”
This setup allows you to see trend changes immediately without waiting for bar closes and lets the trend score build continuously over time, making it easier to follow long trends.
⸻
🧠 Core Logic
Start Date
Select a meaningful historical start date — for example: 2020-01-01. This provides long-term context for trend score calculation.
Per-Bar Delta (Δ) Calculation
The indicator scores each bar based on breakout behavior:
If the bar breaks only the previous high, Δ = +1
If it breaks only the previous low, Δ = -1
If it breaks both the high and low, Δ = 0
If it breaks neither, Δ = 0
This filters out wide-range or indecisive candles during volatility.
Cumulative Trend Score
Each bar’s delta is added to the running tsScore.
When it rises, bullish pressure is building.
When it falls, bearish pressure is increasing.
Trend Flip Logic
A bullish flip happens when tsScore rises by +3 from the lowest recent point.
A bearish flip happens when tsScore falls by -3 from the highest recent point.
These flips update the active trend direction between bullish and bearish.
⸻
⚠️ What Is a “Primed” Flip?
A primed flip is a signal that the current trend is about to flip — just one point away.
A primed bullish flip means the trend is currently bearish, but the tsScore only needs +1 more to flip. If the next bar breaks the previous high (without breaking the low), it will trigger a bullish flip.
A primed bearish flip means the trend is currently bullish, but the tsScore only needs -1 more to flip. If the next bar breaks the previous low (without breaking the high), it will trigger a bearish flip.
Primed flips are plotted one bar ahead of the current bar. They act like forecasts and give you a head start.
⸻
✅ What Is a “Confirmed” Flip?
A confirmed flip is the first bar of a new trend direction.
A confirmed bullish flip appears when a bearish trend officially flips into a new bullish trend.
A confirmed bearish flip appears when a bullish trend officially flips into a new bearish trend.
These signals are reliable and great for entries, trend filters, or reversals.
⸻
🖼 Visual Cues
The trend score (tsScore) line shows the accumulated trend strength.
A Δ histogram shows the daily price contribution: +1 for breaking highs, -1 for breaking lows, 0 otherwise.
A green background means the chart is in a bullish trend.
A red background means the chart is in a bearish trend.
A ⬆ label signals a primed bullish flip is possible on the next bar.
A ⬇ label signals a primed bearish flip is possible on the next bar.
A ✅ means a bullish flip just confirmed.
A ❌ means a bearish flip just confirmed.
⸻
🔔 Alerts You Can Use
The indicator includes these built-in alerts:
• Primed Bullish Flip — watch for possible bullish reversal tomorrow
• Primed Bearish Flip — watch for possible bearish reversal tomorrow
• Bullish Confirmed — official entry into new uptrend
• Bearish Confirmed — official entry into new downtrend
You can set these alerts in TradingView to monitor across your chart or watchlist.
⸻
📈 How to Use in TradingView Pine Screener
Step 1: Create your own watchlist — for example, SPX500
Step 2: Favorite this indicator so it shows up in the screener
Step 3: Go to TradingView → Products → Screeners → Pine (Beta)
Step 4: Select this indicator and choose a condition, like “Bullish Confirmed”
Step 5: Click Scan
You’ll instantly see stocks that just flipped trends or are close to doing so.
⸻
⏰ When to Use the Screener
Use this screener after market close or before the next open to avoid intraday noise.
During the day, if a candle breaks both the high and low, the delta becomes 0, which may cancel a flip or primed signal.
Results during regular trading hours can change frequently. For best results, scan during stable periods like pre-market or after-hours.
⸻
🧪 Real-World Examples
SWK
NVR
WMT
UNH
Each of these examples shows clean, structured trend transitions detected in advance or confirmed with precision.
PLTR: complicated case primed for bullish (but we don't when it will flip)
⚠️ Risk Disclaimer & Trend Context
A confirmed bullish signal does not guarantee an immediate price increase. Price may continue to consolidate or even pull back after a bullish flip.
Likewise, a primed bullish signal does not always lead to confirmation. It simply means the conditions are close — but if the next bar breaks both the high and low, or breaks only the low, the flip will be canceled.
On the other side, a confirmed bearish signal does not mean the market will crash. If the overall trend is bullish (for example, tsScore has been rising for weeks), then a bearish flip may just represent a short-term pullback — not a trend reversal.
You always need to consider the overall market structure. If the long-term trend is bullish, it’s usually smarter to wait for bullish confirmation signals. Bearish flips in that context are often just dips — not opportunities to short.
This indicator gives you context, not predictions. It’s a tool for alignment — not absolute outcomes. Use it to follow structure, not fight it.
Shade 4H Blocks PSTShades a 4H timeframe intraday. The purpose is to remind me what 4H candle I am operating in without having to manually mark it on the lower-timeframe charts I am watching.
Most-Crossed Channels (FAST • Top-K • Flexible Window)//@version=5
indicator("Most-Crossed Channels (FAST • Top-K • Flexible Window)", overlay=true, max_boxes_count=60, max_labels_count=60)
// ---------- Inputs ----------
windowMode = input.string(defval="Last N Bars", title="Scan Window", options= )
barsLookback = input.int(defval=800, title="If Last N Bars → how many?", minval=100, maxval=5000)
sess = input.session(defval="0830-1500", title="Session (exchange tz)")
sessionsBack = input.int(defval=1, title="If Last N Sessions → how many?", minval=1, maxval=10)
minutesLookback = input.int(defval=120, title="If Last X Minutes → how many?", minval=5, maxval=24*60)
sinceTs = input.time(defval=timestamp("2024-01-01T09:30:00"), title="Since time (chart tz)")
channelsK = input.int(defval=3, title="How many channels (Top-K)?", minval=1, maxval=10)
binTicks = input.int(defval=8, title="Bin width (ticks)", minval=1, maxval=200) // NQ tick=0.25; 8 ticks = 2.0 pts
minSepTicks = input.int(defval=12, title="Min separation between channels (ticks)", minval=1, maxval=500)
countSource = input.string(defval="Wick (H-L)", title="Count bars using", options= )
drawMode = input.string(defval="Use Candle", title="Draw channel as", options= )
anchorPart = input.string(defval="Body", title="If Use Candle → part", options= )
fixedTicks = input.int(defval=8, title="If Fixed Thickness → thickness (ticks)", minval=1, maxval=200)
extendBars = input.int(defval=400, title="Extend to right (bars)", minval=50, maxval=5000)
showLabels = input.bool(defval=true, title="Show labels with counts")
// ---------- Colors ----------
colFill = color.new(color.blue, 78)
colEdge = color.new(color.blue, 0)
colTxt = color.white
// ---------- Draw caches (never empty) ----------
var box g_boxes = array.new_box()
var label g_lbls = array.new_label()
// ---------- Helpers ----------
barsFromMinutes(mins, avgBarMs) =>
ms = mins * 60000.0
int(math.max(2, math.round(ms / nz(avgBarMs, 60000.0))))
// First (oldest) candle in whose selected part contains `level`
anchorIndexForPrice(level, useBody, scanNLocal) =>
idx = -1
for m = 1 to scanNLocal - 1
k = scanNLocal - m // oldest → newest
o = open
c = close
h = high
l = low
topZ = useBody ? math.max(o, c) : h
botZ = useBody ? math.min(o, c) : l
if level >= botZ and level <= topZ
idx := k
break
idx
// ---------- Window depth ----------
inSess = not na(time(timeframe.period, sess))
sessStartIdx = ta.valuewhen(inSess and not inSess , bar_index, 0)
sessStartIdxN = ta.valuewhen(inSess and not inSess , bar_index, sessionsBack - 1)
sinceStartIdx = ta.valuewhen(time >= sinceTs and time < sinceTs, bar_index, 0)
avgBarMs = ta.sma(time - time , 50)
depthRaw = switch windowMode
"Last N Bars" => barsLookback
"Today (session)" => bar_index - nz(sessStartIdx, bar_index)
"Last N Sessions" => bar_index - nz(sessStartIdxN, bar_index)
"Last X Minutes" => barsFromMinutes(minutesLookback, avgBarMs)
"Since time" => bar_index - nz(sinceStartIdx, bar_index)
avail = bar_index + 1
scanN = math.min(avail, math.max(2, depthRaw))
scanN := math.min(scanN, 2000) // performance cap
// ---------- Early guard ----------
if scanN < 2
na
else
// ---------- Build price histogram (O(N + B)) ----------
priceMin = 10e10
priceMax = -10e10
for j = 0 to scanN - 1
loB = math.min(open , close )
hiB = math.max(open , close )
lo = (countSource == "Body only") ? loB : low
hi = (countSource == "Body only") ? hiB : high
priceMin := math.min(priceMin, nz(lo, priceMin))
priceMax := math.max(priceMax, nz(hi, priceMax))
rng = priceMax - priceMin
tick = syminfo.mintick
binSize = tick * binTicks
if na(rng) or rng <= 0 or binSize <= 0
na
else
// Pre-allocate fixed-size arrays (never size 0)
MAX_BINS = 600
var float diff = array.new_float(MAX_BINS + 2, 0.0) // +2 so iH+1 is safe
var float counts = array.new_float(MAX_BINS + 1, 0.0)
var int blocked = array.new_int(MAX_BINS + 1, 0)
var int topIdx = array.new_int()
binsN = math.max(1, math.min(MAX_BINS, int(math.ceil(rng / binSize)) + 1))
// reset slices
for i = 0 to binsN + 1
array.set(diff, i, 0.0)
for i = 0 to binsN
array.set(counts, i, 0.0)
array.set(blocked, i, 0)
array.clear(topIdx)
// Range adds
for j = 0 to scanN - 1
loB = math.min(open , close )
hiB = math.max(open , close )
lo = (countSource == "Body only") ? loB : low
hi = (countSource == "Body only") ? hiB : high
iL = int(math.floor((lo - priceMin) / binSize))
iH = int(math.floor((hi - priceMin) / binSize))
iL := math.max(0, math.min(binsN - 1, iL))
iH := math.max(0, math.min(binsN - 1, iH))
array.set(diff, iL, array.get(diff, iL) + 1.0)
array.set(diff, iH + 1, array.get(diff, iH + 1) - 1.0)
// Prefix sum → counts
run = 0.0
for b = 0 to binsN - 1
run += array.get(diff, b)
array.set(counts, b, run)
// Top-K with spacing
sepBins = math.max(1, int(math.ceil(minSepTicks / binTicks)))
picks = math.min(channelsK, binsN)
if picks > 0
for _ = 0 to picks - 1
bestVal = -1e9
bestBin = -1
for b = 0 to binsN - 1
if array.get(blocked, b) == 0
v = array.get(counts, b)
if v > bestVal
bestVal := v
bestBin := b
if bestBin >= 0
array.push(topIdx, bestBin)
lB = math.max(0, bestBin - sepBins)
rB = math.min(binsN - 1, bestBin + sepBins)
for bb = lB to rB
array.set(blocked, bb, 1)
// Clear old drawings safely
while array.size(g_boxes) > 0
box.delete(array.pop(g_boxes))
while array.size(g_lbls) > 0
label.delete(array.pop(g_lbls))
// Draw Top-K channels
sz = array.size(topIdx)
if sz > 0
for t = 0 to sz - 1
b = array.get(topIdx, t)
level = priceMin + (b + 0.5) * binSize
useBody = (drawMode == "Use Candle")
anc = anchorIndexForPrice(level, useBody, scanN)
anc := anc == -1 ? scanN - 1 : anc
oA = open
cA = close
hA = high
lA = low
float topV = na
float botV = na
if drawMode == "Use Candle"
topV := (anchorPart == "Body") ? math.max(oA, cA) : hA
botV := (anchorPart == "Body") ? math.min(oA, cA) : lA
else
half = (fixedTicks * tick) * 0.5
topV := level + half
botV := level - half
left = bar_index - anc
right = bar_index + extendBars
bx = box.new(left, topV, right, botV, xloc=xloc.bar_index, bgcolor=colFill, border_color=colEdge, border_width=2)
array.push(g_boxes, bx)
if showLabels
txt = str.tostring(int(array.get(counts, b))) + " crosses"
lb = label.new(left, topV, txt, xloc=xloc.bar_index, style=label.style_label_down, textcolor=colTxt, color=colEdge)
array.push(g_lbls, lb)
4H Weekly Candle Counter - Increments from Sunday until Friday This script will count the first 4H candle close on Sunday all the way until the final candle of the week on Friday.
4H Weekly Candle Counter (UTC - Dynamic)Counts the 4H Candles on a given trading day. Made specifically for the /ES. (The first 4H Candle opens at 15:00 Sunday-Thursday)
