BTC Event Contract Signal Indicator# BTC Event Contract Signal Indicator
**Version**: V1.0
**Last Updated**: December 21, 2024
**Author**: OxJohannWu
**Type**: Pine Script v6 Indicator (Overlay)
**Timeframes**: Optimized for 1-minute BTC data, supports all timeframes
## 📋 Overview
The BTC Event Contract Signal Indicator is a sophisticated technical analysis tool designed specifically for Bitcoin event contracts (binary options). This indicator provides real-time buy/sell signals with comprehensive contract tracking, performance statistics, and settlement monitoring - all displayed in Beijing time (UTC+8).
### Key Features
- **Smart Signal Generation**: Multi-layered technical analysis with adaptive filtering
- **Real-time Contract Tracking**: Monitor active contracts with automatic settlement detection
- **Performance Analytics**: Detailed win/loss statistics with daily breakdowns
- **Multi-timeframe Optimization**: Auto-adjusts parameters based on chart timeframe
- **Beijing Time Display**: All timestamps converted to Beijing timezone
- **Alert System**: TradingView alerts for all signal types
## 🎯 Trading Philosophy
This indicator combines correlation analysis, MACD momentum, and StochRSI oscillator signals to identify high-probability entry points for Bitcoin event contracts. The system prioritizes quality over quantity, using intelligent filtering to minimize false signals and maximize win rates.
## ⚙️ Parameter Configuration
### 📊 Technical Indicator Settings
- **Auto Timeframe Optimization**: Automatically selects optimal parameters based on current timeframe
- **MACD Settings**: Fast (8), Slow (21), Signal (5) - optimized for 1-minute BTC data
- **RSI Period**: 6 periods for responsive momentum detection
- **Stochastic Settings**: K smoothing (2), Period (6) for precise overbought/oversold levels
### 🔗 Correlation Analysis
- **Short-term Correlation**: 3-period correlation for immediate trend changes
- **Long-term Correlation**: 25-period correlation for broader market context
- **Correlation Slope**: Tracks momentum changes in price correlation
### 🎯 Smart Signal Optimization
Three intelligent modes to suit different trading styles:
#### Smart Balance Mode (Default)
- **Target Win Rate**: 80%+
- **Expected Signals**: 8-15 per day
- **Filtering**: 6-7 technical conditions
- **Best For**: Balanced trading with consistent profits
#### High Frequency Mode
- **Target Win Rate**: 75%+
- **Expected Signals**: 15-25 per day
- **Filtering**: 4 core technical conditions
- **Best For**: Active traders seeking more opportunities
#### Premium Quality Mode
- **Target Win Rate**: 85%+
- **Expected Signals**: 5-10 per day
- **Filtering**: 8 strict technical conditions
- **Best For**: Conservative traders prioritizing accuracy
### ⏰ Event Contract Settings
- **Contract Duration Options**: 10 Minutes, 30 Minutes, 1 Hour, 24 Hours
- **Single Contract Rule**: Only one active contract at a time
- **Auto Settlement**: Automatic win/loss detection at expiry
## 📈 Signal Generation Logic
### Core Technical Conditions
1. **Correlation Breakout**: Short-term correlation slope changes direction
2. **MACD Momentum**: MACD line above/below signal line with positive/negative slope
3. **StochRSI Position**: K-line slope changes indicating momentum shift
### Smart Filtering System
The indicator applies progressive filtering based on selected mode:
#### Basic Filters (All Modes)
- Volume above 1.4x average
- Correlation momentum confirmation
- MACD direction alignment
#### Advanced Filters (Smart Balance & Premium)
- Price action quality (body-to-wick ratio > 0.4)
- Momentum strength validation
- RSI safe zone (25-75 range)
- Optional trend filter with EMA confirmation
- Optional multi-timeframe confirmation
#### Premium Filters (Premium Quality Only)
- Enhanced volume threshold (1.8x average)
- Stricter correlation momentum (>1.0)
- Multi-timeframe EMA alignment
- Advanced momentum validation
### Signal Strength Classification
- **Normal Signals**: Basic technical alignment (small arrows)
- **Strong Signals**: Enhanced momentum + volume confirmation (large arrows)
## 🎨 Visual Display System
### Signal Arrows
- **🔼 Green Triangle Up**: Call signal (buy/long)
- **🔽 Red Triangle Down**: Put signal (sell/short)
- **💪 Enhanced Arrows**: Strong signals with special emoji indicators
### Settlement Results
- **🎉 WIN**: Profitable contracts (green)
- **💸 LOSS**: Losing contracts (red)
- **Automatic Display**: Shows results immediately upon contract expiry
### Information Labels
Each signal displays:
- Signal type (Call/Put, Normal/Strong)
- Selected mode and timeframe
- Contract duration
- Settlement results with win/loss indication
## 📊 Statistics Dashboard
### Real-time Performance Table
Located in the top-right corner, displaying:
#### Summary Statistics
- **Total Contracts**: Overall contract count
- **Overall Win Rate**: Percentage with color coding (Green: 80%+, Orange: 60-79%, Red: <60%)
- **Today's Performance**: Daily statistics with separate tracking
- **Win/Loss Breakdown**: Detailed count of profitable vs losing trades
#### Directional Analysis
- **Call Performance**: Success rate for bullish contracts
- **Put Performance**: Success rate for bearish contracts
- **Balanced Tracking**: Identifies directional bias in performance
#### System Status
- **Filter Mode**: Current smart filter status (Smart✓/Basic✗)
- **Contract Duration**: Selected timeframe
- **Beijing Time**: Real-time timestamp display
- **Current Price**: Live BTC/USDT price
- **Contract Status**: Active contract indicator (🔄 Active/✅ Ready)
## 💡 Usage Guidelines
### Optimal Setup
1. **Recommended Timeframe**: 1-minute for maximum signal frequency
2. **Symbol**: BTCUSDT or BTCUSD perpetual futures
3. **Mode Selection**: Start with "Smart Balance" for consistent performance
4. **Contract Duration**: Begin with 10-minute contracts for faster feedback
### Best Practices
- **Pre-market Analysis**: Check overall market conditions before trading
- **Risk Management**: Never risk more than 2-3% of capital per contract
- **Session Timing**: Best performance during high-volume trading sessions
- **Signal Confirmation**: Wait for arrow + label confirmation before entry
- **Performance Monitoring**: Regularly review win rate statistics
### Trading Sessions
- **Asian Session**: 00:00-08:00 Beijing Time (moderate volatility)
- **European Session**: 15:00-23:00 Beijing Time (high volatility)
- **US Session**: 21:00-05:00 Beijing Time (peak volatility)
## 🚨 Alert Configuration
### Available Alerts
1. **BTC Call Signal**: Basic bullish signal alerts
2. **BTC Put Signal**: Basic bearish signal alerts
3. **BTC Strong Call Signal**: High-quality bullish signals
4. **BTC Strong Put Signal**: High-quality bearish signals
### Alert Setup
```
Alert Condition: Select from dropdown
Frequency: Once Per Bar Close
Expiration: No expiration (for continuous monitoring)
Webhook: Optional for automated trading systems
```
### Alert Message Format
```
🚀 BTC Event Contract Call Signal
⏰ Time:
💰 Price: $
```
## 🔧 Advanced Configuration
### Parameter Optimization
- **Auto-Optimization Enabled**: Uses predefined optimized parameters
- **Manual Override**: Disable auto-optimization for custom parameter testing
- **Timeframe Adaptation**: Parameters automatically adjust for 1-min, 3-min, and higher timeframes
### Filter Customization
- **Volume Filter**: Adjustable multiplier (1.1-2.5x)
- **Trend Filter**: Optional EMA trend confirmation
- **Advanced Confirmation**: Multi-timeframe validation
- **Smart Filter**: Toggle for intelligent filtering system
## 📈 Performance Expectations
### Historical Backtesting Results
Based on extensive BTCUSDT 1-minute data testing:
#### Smart Balance Mode
- **Average Win Rate**: 78-82%
- **Daily Signals**: 10-15
- **Best Sessions**: European/US overlap
- **Recommended For**: Most traders
#### High Frequency Mode
- **Average Win Rate**: 73-77%
- **Daily Signals**: 18-25
- **Best Sessions**: High volatility periods
- **Recommended For**: Active scalpers
#### Premium Quality Mode
- **Average Win Rate**: 83-87%
- **Daily Signals**: 6-10
- **Best Sessions**: Trending market conditions
- **Recommended For**: Conservative traders
## ⚠️ Risk Warnings
### Important Disclaimers
- **High-Risk Trading**: Event contracts involve significant risk of loss
- **Market Volatility**: Cryptocurrency markets are highly volatile and unpredictable
- **No Guarantee**: Past performance does not guarantee future results
- **Capital Risk**: Only trade with funds you can afford to lose completely
### Risk Management Guidelines
- **Position Sizing**: Never risk more than 1-2% per trade
- **Daily Limits**: Set maximum daily loss limits
- **Emotional Control**: Avoid revenge trading after losses
- **Market Conditions**: Adjust exposure based on volatility
- **Continuous Monitoring**: Regularly assess indicator performance
## 🔄 Version History
### V1.0 (December 21, 2024)
- Initial English release
- Complete translation from Chinese version
- Optimized for international users
- Enhanced documentation with detailed explanations
- Maintained all original functionality and performance characteristics
## 🛠️ Technical Specifications
### Pine Script Details
- **Version**: Pine Script v6
- **Type**: Indicator with overlay=true
- **Max Objects**: 500 boxes, 500 labels
- **Memory Optimization**: Efficient array and map usage
- **Performance**: Optimized for real-time execution
### System Requirements
- **Platform**: TradingView Pro, Pro+, or Premium
- **Browser**: Modern browser with JavaScript enabled
- **Connection**: Stable internet for real-time data
- **Display**: Minimum 1080p resolution recommended
## 📞 Support & Updates
### Getting Help
- **Documentation**: Refer to this comprehensive guide
- **Common Issues**: Check parameter settings and timeframe compatibility
- **Performance**: Verify market conditions and volatility levels
### Update Policy
- **Regular Updates**: Continuous optimization based on market conditions
- **Version Tracking**: All changes documented with version numbers
- **Backward Compatibility**: Settings preserved across updates
---
**Disclaimer**: This indicator is for educational and analysis purposes only. Trading cryptocurrencies and event contracts involves substantial risk. Always conduct your own research and consider your risk tolerance before trading. The authors are not responsible for any trading losses incurred through the use of this indicator.
Forecasting
aiQ - 10min Crypto Pro - v2aiQ - 10min Crypto Pro - v2
Professional-grade indicator specifically designed for 10-minute binary options trading on cryptocurrency pairs. Uses a 6-point confluence scoring system combining RSI divergences, VWMA trend ribbon, dynamic support/resistance, volume analysis, and momentum filters to identify high-probability CALL/PUT entries.
Key Features:
Two-tier signal system: ★ for premium setups (70% win rate), standard for regular trades (60% win rate)
Built-in money management calculator showing exact position sizing
Session filter highlights optimal trading hours (default: 08:00-22:00 UTC)
Real-time dashboard displays signal strength, trend, RSI, volume conditions
Automatic filtering of low-volume periods to avoid manipulation zones
Optimized for Speed: All parameters fine-tuned for 10-minute expiry times - faster RSI (9), responsive VWMA ribbon (3/8/13), and quick divergence detection. Includes alerts for both signal tiers.
Best Use: Wait for ★ signals with 4+ confluence score during active session hours. Never trade during "DRY" volume conditions. Position size based on 2% risk per trade (adjustable).
Note: This indicator provides signals only - actual binary options execution must be done through your broker platform.
EMA-MACD-Stoch by PashaThis indicator combines three popular technical analysis tools — EMA, MACD, and Stochastic — to generate strong and filtered buy/sell signals. It incorporates its own strategic logic and provides trade suggestions only when multiple confirmations align.
Developed by Mehmet (alias: Pasha), this indicator is designed for users seeking short-term entries in markets like BIST. It performs most effectively on the 30-minute timeframe, but can also be used across different timeframes.
Futures vs CFD Price Display
🎯 Trading the same asset in CFDs and Futures but tired of switching charts to compare prices? This is your indicator!
Stop the constant chart hopping! This live price comparison shows you instantly where the better conditions are.
✨ What you get:
Bidirectional: Works in both Futures AND CFD charts
Live prices: Real-time comparison of both markets
Spread calculation: Automatic difference in points and percentage
Fully customizable: Colors, position, size to your liking
Professional design: Clean display with symbol header
🎯 Perfect for:
Gold traders (Futures vs CFD)
Arbitrage strategies
Spread monitoring
Multi-broker comparisons
⚙️ Customization:
3 sizes (Small/Normal/Large) for all screens
4 positions available
Individual color schemes
Toggle features on/off
💡 Simply enter the symbol and keep both markets in sight!
Notice: "Co-developed with Claude AI (Anthropic) - because even AI needs to pay the server bills! 😄"
TSE USD Upper LimitThis script calculates and displays the daily upper price limit for a Tokyo Stock Exchange (TSE) stock based on the official JPX limit table. The limit is determined from the previous session’s closing price and displayed as a fixed horizontal line on the current chart. Ideal for tracking regulatory price caps and identifying squeeze scenarios.
Bayram Günleri 2020-2025// This script highlights the days of Ramadan Eid and Eid al-Adha (including the day before) on the chart.
// This indicator is designed to visually mark Ramadan Eid, Eid al-Adha, and their preceding days (Arefe) between 2020 and 2025.
// It colors the background in orange on those specific dates, making it easy to identify and analyze holiday periods.
// Works across all timeframes (1m, 1h, 1d, etc.).
// Dates are checked using year, month, and dayofmonth values manually.
// All times are based on Turkish local time (UTC+3).
// Ramazan Bayramı ve Kurban Bayramı günlerini gösterir
Mariam Ichimoku DashboardPurpose
The Mariam Ichimoku Dashboard is designed to simplify the Ichimoku trading system for both beginners and experienced traders. It provides a complete view of trend direction, strength, momentum, and key signals all in one compact dashboard on your chart. This tool helps traders make faster and more confident decisions without having to interpret every Ichimoku element manually.
How It Works
1. Trend Strength Score
Calculates a score from -5 to +5 based on Ichimoku components.
A high positive score means strong bullish momentum.
A low negative score shows strong bearish conditions.
A near-zero score indicates a sideways or unclear market.
2. Future Cloud Bias
Looks 26 candles ahead to determine if the future cloud is bullish or bearish.
This helps identify the longer-term directional bias of the market.
3. Flat Kijun / Flat Senkou B
Detects flat zones in the Kijun or Senkou B lines.
These flat areas act as strong support or resistance and can attract price.
4. TK Cross
Identifies Tenkan-Kijun crosses:
Bullish Cross means Tenkan crosses above Kijun
Bearish Cross means Tenkan crosses below Kijun
5. Last TK Cross Info
Shows whether the last TK cross was bullish or bearish and how many candles ago it happened.
Helps track trend development and timing.
6. Chikou Span Position
Checks if the Chikou Span is above, below, or inside past price.
Above means bullish momentum
Below means bearish momentum
Inside means mixed or indecisive
7. Near-Term Forecast (Breakout)
Warns when price is near the edge of the cloud, preparing for a potential breakout.
Useful for anticipating price moves.
8. Price Breakout
Shows if price has recently broken above or below the cloud.
This can confirm the start of a new trend.
9. Future Kumo Twist
Detects upcoming twists in the cloud, which often signal potential trend reversals.
10. Ichimoku Confluence
Measures how many key Ichimoku signals are in agreement.
The more signals align, the stronger the trend confirmation.
11. Price in or Near the Cloud
Displays if the price is inside the cloud, which often indicates low clarity or a choppy market.
12. Cloud Thickness
Shows whether the cloud is thin or thick.
Thick clouds provide stronger support or resistance.
Thin clouds may allow easier breakouts.
13. Recommendation
Gives a simple trading suggestion based on all major signals.
Strong Buy, Strong Sell, or Hold.
Helps simplify decision-making at a glance.
Features
All major Ichimoku signals summarized in one panel
Real-time trend strength scoring
Detects flat zones, crosses, cloud twists, and breakouts
Visual alerts for trend alignment and signal confluence
Compact, clean design
Built with simplicity in mind for beginner traders
Tips
Best used on 15-minute to 1-hour charts for short-term trading
Avoid entering trades when price is inside the cloud because the market is often indecisive
Wait for alignment between trend score, TK cross, cloud bias, and confluence
Use the dashboard to support your trading strategy, not replace it
Enable alerts for major confluence or upcoming Kumo twists
B-Xtrender Oscillator + RSI | ADX B-Xtrender Oscillator + RSI | ADX — Indicator Overview & Usage Guide
Unlock market momentum, trend strength, and momentum convergence with this multi-layered, professional-grade indicator. Combining a custom B-Xtrender oscillator, RSI momentum filter, and a dynamically colored ADX panel with DI crossovers, this tool equips traders with clear, actionable insights to enhance entries, exits, and trade management.
What This Indicator Does:
B-Xtrender Oscillator:
A unique momentum oscillator derived from layered EMAs and RSI smoothing. It visualizes short-term momentum shifts with vibrant color-coded histograms and a T3 smoothed line, highlighting bullish or bearish momentum surges and potential reversals.
RSI Panel & Table:
Standard RSI momentum with configurable length and source, overbought/oversold zones, and an easy-to-read dynamic table labeling current momentum as "Bullish" or "Bearish." It acts as a momentum confirmation filter to avoid false signals.
ADX with Separate Panel & Dynamic Coloring:
Measures trend strength with clear visualization of ADX and directional movement (+DI and -DI). The ADX line changes color in real-time based on the DI crossover — green for bullish dominance (+DI > -DI), red for bearish dominance (-DI > +DI), and gray for neutral — allowing rapid recognition of prevailing trend direction and strength.
How to Use This Indicator
Trend Confirmation & Momentum Alignment:
Use the ADX panel to confirm a strong trending environment. When ADX rises above your chosen threshold (default 20) and the ADX line is green (+DI > -DI), look primarily for bullish setups; when red (-DI > +DI), favor bearish setups.
B-Xtrender Oscillator for Entry Timing:
Look for the B-Xtrender oscillator histogram bars shifting from red to green or vice versa, accompanied by the T3 line's short-term directional change and small circle markers signaling momentum reversals. This often precedes price moves and can identify optimal entry zones.
RSI as a Momentum Filter:
Confirm the oscillator signals with RSI above 50 for bullish bias or below 50 for bearish bias. Avoid taking long trades if RSI is bearish, and vice versa.
ADX Crossovers to Validate Strength:
Only take trades when the ADX line confirms the direction with a matching color and the ADX value is above the threshold, indicating strong trend conditions.
Suggested Trading Strategies
Strategy 1: Momentum Trend Entries
Entry:
Enter a long position when:
B-Xtrender oscillator histogram turns green with increasing momentum,
T3 line shows upward reversal (green circle),
RSI is above 50 (bullish momentum),
ADX is above threshold with ADX line green (+DI > -DI).
Enter a short position on the inverse conditions.
Exit:
When B-Xtrender oscillator histogram turns red, or
RSI crosses back below 50 (for longs), or
ADX line color switches signaling weakening trend.
Stop Loss / Take Profit:
Use recent swing lows/highs for SL, and aim for a minimum 1:1.5 risk to reward ratio.
Strategy 2: ADX Breakout Confirmation
Entry:
Use price breakout or support/resistance breaks. Confirm with:
ADX rising above threshold with a clear +DI/-DI crossover matching breakout direction,
B-Xtrender oscillator aligned with breakout momentum (histogram green for longs, red for shorts),
RSI confirming momentum bias.
Exit:
When ADX falls below threshold, indicating trend weakening, or
Opposite B-Xtrender oscillator momentum signals appear.
Tips for Maximizing This Indicator
Use multiple timeframes: Confirm B-Xtrender and ADX trends on higher timeframes before executing trades on lower timeframes for precision.
Combine with price action: Use classic candlestick patterns or support/resistance zones for additional confluence.
Customize ADX threshold and RSI lengths to suit your trading style and instrument volatility. Special thanks Quant therapy .
DAX Breadth Index [+Divergences]🟦 DAX Breadth 9 Index with Divergence Detection (DIB9)
Real-time use requires XETRA feed
🧭 Overview
This indicator calculates a custom market breadth index for the German DAX, based on 9 structurally significant stocks.
It reveals internal market strength, detects divergences between price and participation, and serves as a directional filter in discretionary or systematic trading strategies.
🔹 Why these 9 stocks?
The components are selected based on Pareto logic, focusing on:
• Large market capitalization
• High structural influence on the DAX index
• Diversified across sectors (Technology, Industry, Finance, Chemicals)
• Strong correlation with DAX intraday and swing dynamics
Included Stocks:
SAP, Siemens, Allianz, Airbus, Deutsche Telekom, Mercedes-Benz, BASF, Munich Re, Deutsche Bank
📊 What the indicator shows
• Breadth % – % of components closing above previous close
• VWAP Breadth % – % of components above session VWAP
• Volume Thrust – Volume-weighted strength of advancing stocks
• Breadth MA – Smoothed view to capture mid-term trend shifts
• Divergences – Breadth MA vs DAX Price for reversal signals
⚙️ Calculation Logic
The indicator combines three perspectives of internal market behavior:
• Breadth %
→ Measures daily participation
= (Number of advancers / 9) × 100
• VWAP Breadth %
→ Measures intraday bullish strength
= (Stocks above VWAP / 9) × 100
• Volume Thrust
→ Measures volume-weighted conviction
= (Volume of advancing stocks / Total volume) × 100
A configurable MA (EMA/SMA/TEMA) is applied to the Breadth % to smooth noise and detect trend inflection.
Divergence signals occur when Breadth MA contradicts DAX price direction – highlighting internal weakness or strength.
🔍 Use Cases
• Detect local tops or bottoms through Breadth reversal
• Identify early turning points via Breadth/DAX divergence
• Validate or challenge DAX signals from other strategies
• Use as real-time filter in algorithmic or rule-based trading
• Best used on higher timeframes (H1, H4)
⚠️ Important Notice
This indicator requires the XETRA feed for live calculations.
Without it, component prices won’t update in real time, and the accuracy of signals – especially intraday – will be significantly reduced.
20% Below 52-Wk High AlertCredit to the idea goes to YouTuber @Tom Nash for his DoubleDown DCA strategy.
I liked it so much, that I thought I would write a script that would alert me when I should throttle up (double down) my DCA and when I should slow it down to 1x standard DCA.
This is a script shows:
* Moving indicator line in the chart showing the 20% below the 52 week high
* Has an alert flag with "std DCA" for 1 x normal DCA pace
* Has an alert flag with "double DCA" for when you should double down your DCA
For the rest of the investment strategy go to Tom Nash, and join his Patreon.
This is not investment advice or a sure win indicator. It is just that an indicator. You decide how to act with this information. Just one tool in your investment toolkit!
Six-Vein Sword Energy (Concept)Used Ai to give an Eli5 for the indicator if needed.
The "Six Experts" Indicator
Imagine you have a team of six different experts trying to decide if the price is going to go UP or DOWN.
One expert is good at spotting speed (Momentum).
Another is good at spotting if things are overbought or oversold (RSI & KDJ).
Another is good at seeing if we're in a clear trend (MACD & BBI).
This indicator is just a simple scoreboard for your team of six experts.
How to Read the Scoreboard
1. The Six Rows of Arrows
Think of each row as one expert's vote.
A Red Up Arrow (↑) means that expert gives a "Thumbs Up" 👍. They think the price looks strong and might go up.
A Green Down Arrow (↓) means that expert gives a "Thumbs Down" 👎. They think the price looks weak and might go down.
Sometimes, you'll see a column with both red and green arrows. That's because your experts don't always agree! Maybe the "speed" expert says things are strong, but the "overbought" expert says things have gone up too much. This is totally normal.
2. The Jagged White Line
This white line is the final score. It simply counts how many "Thumbs Ups" (red arrows) there are.
If the white line is at the very top (at 6), it means all six experts agree and are giving a "Thumbs Up".
If the white line is at the very bottom (at 0), it means all six experts are giving a "Thumbs Down".
If the line is in the middle (like at 4), it means you have 4 "Thumbs Ups" and 2 "Thumbs Downs".
How to Use It (The Simple Way)
Look for Strong Agreement:
When It's Mostly Red: If you see the indicator is almost completely filled with red arrows and the white line is high up (at 5 or 6), it means your expert team is shouting "Things look strong!". This is a good confirmation for looking to buy.
When It's Mostly Green: If you see the indicator is mostly filled with green arrows and the white line is very low (at 0 or 1), the team is screaming "Things look weak!". This is a good confirmation for looking to sell.
Look for Disagreement:
When It's a Messy Mix of Red & Green: If the arrows are all mixed up and the white line is bouncing around in the middle, it means your experts are arguing. The market is choppy and undecided. This is a sign that you should probably be careful and wait for a clearer signal.
The Golden Rule: This indicator is a helper. Always look at the price candles first, and then use this scoreboard to confirm if the market strength agrees with what you see.
Crypto Options Master🚀 Crypto Options Master (COM) - TradingView Indicator
The ultimate Pine Script indicator for 10-minute crypto options trading on MEXC and other exchanges.
Specifically optimized for BTC/USDT and ETH/USDT pairs with high-probability signal detection and quality filtering.
📋 Table of Contents
Features
Installation
Configuration
How to Use
Signal Types
Best Practices
Troubleshooting
✨ Features
🎯 Multi-Signal System
EMA Crossovers (8/21) for trend direction
RSI(9) optimized for crypto volatility
Fast Stochastic(5,3,3) for quick reversals
Volume confirmation to filter fake moves
⭐ Smart Quality Rating
★ = Single condition met (lower probability)
★★ = Two conditions aligned (good probability)
★★★ = Perfect confluence (highest probability)
📊 Live Dashboard
Real-time trend status (BULL/BEAR)
RSI zone monitoring (HIGH/MID/LOW)
Volume analysis (HIGH/LOW)
Active signal display with quality rating
🔔 Intelligent Alerts
Customizable push notifications
Signal quality included in alerts
Current price displayed for quick entry
🎨 Clean Visuals
Professional color scheme
Clear CALL/PUT labels with star ratings
Optional trend background
Minimal chart clutter
🛠 Installation
Method 1: Manual Installation
Open TradingView and go to any chart
Click Pine Editor at the bottom
Delete default code and paste the Crypto Options Master code
Click Save and name it "Crypto Options Master"
Click Add to Chart
Method 2: Quick Setup
Copy the entire Pine Script code
In TradingView, press Ctrl + Alt + E (Windows) or Cmd + Option + E (Mac)
Paste code and save
Apply to your chart
⚙️ Configuration
📊 Signal Parameters
SettingDefaultRangeDescriptionRSI Length95-20Optimized for crypto volatilityFast EMA85-15Quick trend detectionSlow EMA2115-30Trend confirmationStochastic %K53-10Momentum reversalsVolume Multiplier1.21.0-2.0Volume threshold (20% above average)
🎨 Display Options
SettingDefaultDescriptionShow Entry Signals✅ ONDisplay CALL/PUT labelsShow Dashboard✅ ONLive market status panelTrend Background❌ OFFOptional trend coloringMin Signal Quality2Filter low-quality signals (1-3 stars)
🔔 Alert Settings
SettingDefaultDescriptionEnable All Alerts✅ ONPush notifications for signals
📖 How to Use
🕒 Recommended Timeframes
Primary: 1-minute or 3-minute charts
Options Expiry: 10 minutes
Best Pairs: BTC/USDT, ETH/USDT
⏰ Optimal Trading Hours (EST)
Peak Activity: 8:00-11:00 AM, 2:00-5:00 PM
Avoid: 6:00-8:00 AM (low Asian volume overlap)
📈 Entry Strategy
Wait for ★★ or ★★★ signals (avoid single-star signals)
Check dashboard - ensure volume is HIGH
Confirm trend alignment - CALL signals work better in BULL trends
Enter position when all conditions align
Set 10-minute expiry for options
💡 Reading the Dashboard
┌─────────┬────────┐
│ COM │ 10min │ ← Indicator name
├─────────┼────────┤
│ Trend │ BULL │ ← EMA8 > EMA21 = Bullish
├─────────┼────────┤
│ RSI │ MID │ ← 30-70 = Neutral zone
├─────────┼────────┤
│ Volume │ HIGH │ ← Above 1.2x average
├─────────┼────────┤
│ Signal │ WAIT │ ← No quality signals yet
└─────────┴────────┘
🎯 Signal Types
📈 CALL Signals (Buy UP)
⭐ Condition 1: EMA Trend Reversal
EMA8 crosses above EMA21
High volume confirmation
Best for: Trend reversals
⭐ Condition 2: RSI Oversold Recovery
RSI crosses above 30 (from oversold)
Currently in bullish trend
High volume confirmation
Best for: Trend continuations
⭐ Condition 3: Stochastic Reversal
Stochastic crosses above 20
Price above EMA8 (fast trend line)
Best for: Quick momentum plays
📉 PUT Signals (Buy DOWN)
⭐ Condition 1: EMA Trend Reversal
EMA8 crosses below EMA21
High volume confirmation
Best for: Trend reversals
⭐ Condition 2: RSI Overbought Breakdown
RSI crosses below 70 (from overbought)
Currently in bearish trend
High volume confirmation
Best for: Trend continuations
⭐ Condition 3: Stochastic Reversal
Stochastic crosses below 80
Price below EMA8 (fast trend line)
Best for: Quick momentum plays
🏆 Best Practices
✅ DO's
Focus on ★★ and ★★★ signals for higher win rates
Check dashboard before entering - ensure HIGH volume
Use 1-3 minute charts for 10-minute expiries
Trade BTC during high volatility periods
Wait for clear signals rather than forcing trades
Set up alerts to catch signals when away from screen
❌ DON'Ts
Don't trade single-star signals in ranging markets
Don't ignore volume - LOW volume signals are risky
Don't trade during low activity hours (6-8 AM EST)
Don't overtrade - quality over quantity
Don't risk more than 2-3% per trade
Don't chase missed signals - wait for the next setup
🧠 Advanced Tips
BTC often leads ETH by 1-2 candles - use this correlation
Combine with support/resistance levels for extra confirmation
Watch for signal clusters - multiple stars within 2-3 candles
ETH follows cleaner patterns than BTC - good for beginners
Higher timeframes confirm lower timeframe signals
🔧 Troubleshooting
❓ "No signals appearing"
Solution: Lower "Min Signal Quality" to 1 temporarily, or wait for better market conditions (higher volume, clear trends).
❓ "Dashboard moving with chart"
Solution: This is normal TradingView behavior for overlay indicators. Dashboard position is relative to the chart view.
❓ "Too many false signals"
Solution: Increase "Min Signal Quality" to 3, or add "Volume Multiplier" to 1.5 for stricter filtering.
❓ "Alerts not working"
Solution: Ensure "Enable All Alerts" is ON, and you've set up TradingView push notifications in your account settings.
❓ "EMA lines too close together"
Solution: This indicates low volatility. Wait for price expansion or switch to a more volatile pair.
❓ "Works on BTC but not ETH"
Solution: ETH sometimes has lower volume. Check the dashboard - if volume shows "LOW", wait for higher activity periods.
📊 Performance Expectations
🎯 Win Rates (Backtested)
★★★ Signals: ~75-80% win rate
★★ Signals: ~65-70% win rate
★ Signals: ~55-60% win rate
📈 Signal Frequency
High volatility days: 15-25 quality signals
Normal days: 8-15 quality signals
Low volatility: 3-8 quality signals
⚠️ Risk Disclaimer
This indicator is for educational purposes. Past performance doesn't guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
🔄 Updates & Support
📝 Version History
v1.0 - Initial release with multi-signal system
v1.1 - Optimized for crypto volatility, added quality filtering
v1.2 - Enhanced dashboard, improved visual positioning
🆘 Getting Help
Check TradingView Pine Script documentation for general issues
Verify your chart is set to 1-3 minute timeframe
Ensure you're trading during active market hours
Test on different crypto pairs to find best fit
🔮 Future Enhancements
Custom alert messages
Backtesting statistics panel
Multiple timeframe analysis
Risk/reward ratio calculator
Syndicate📘 Syndicate Indicator – Description
The Syndicate Indicator is a dynamic, precision-based visual tool for identifying trend direction, major reversals, and institutional golden pocket zones. Designed for clarity, minimalism, and sniper-level entries, it helps traders navigate market structure with confidence.
🔹 Trend Emoji Guide (Top-Right Corner Table):
• 📈✅ – Strong Uptrend Detected (Potential Long Bias)
• 📉✅ – Strong Downtrend Detected (Potential Short Bias)
• 🌀 – Market in Limbo (Neutral/No Trade Zone)
These trend cues are calculated using multi-layer confluence of EMAs, WaveTrend oscillator, and volume trend.
⸻
🟨 Golden Pocket Lines
The script automatically plots high-confluence golden pocket zones from:
• Previous Day (Orange Dotted Lines)
• Previous Week (Fuchsia Dotted Lines)
• Previous Month (Teal Dotted Lines)
Golden pockets only appear when price is nearby (within a % range you can configure) to reduce chart clutter and highlight relevance.
⸻
🔴 Reversal Signal Dots
Small dots (minimal size) show only the strongest reversal confluence:
• White dot = Bullish reversal opportunity
• Purple dot = Bearish reversal opportunity
These appear sparingly, using WaveTrend extremes + volume confirmation for high conviction signals.
⸻
📜 Trading Rules (Beginner-Friendly)
✅ When to Consider a Long (NFA):
• Top-right emoji shows 📈✅
• Price is above both EMAs (50 & 200)
• WaveTrend confirms strong upward pressure
• Volume is above average
• Bonus: White dot or price bouncing from a golden pocket
✅ When to Consider a Short (NFA):
• Top-right emoji shows 📉✅
• Price is below both EMAs
• WaveTrend is trending down with pressure
• Volume is above average (bearish)
• Bonus: Purple dot or price rejecting a golden pocket
⚠️ When to Wait / Avoid Trading:
• Emoji shows 🌀 (limbo)
• Price is between the EMAs
• Low volume or choppy price action
• No dot signal or golden pocket interaction
⸻
📌 Best Practices:
• Use on timeframes 5m–4H for best balance of precision and context
• Combine with Spiderline zones, SFPs, and divergence for stacked confluence
• Use alerts to stay notified when strong trend shifts occur
• Remember: No financial advice — always practice risk management and confirm entries manually
IVO Trend IndicatorIVO Trend Indicator
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OBJECTIVE
As we all know, there are a multitude of indicators that aim to improve our trading operations, but many of them are confusing, and using several simultaneously can lead to trading errors. The indicator we have developed is based exclusively on the use of moving averages, so that together they are able to more accurately detect three important trading factors: TREND, STRENGTH, and MOMENTUM.
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HOW DOES IT CALCULATE THE 3 BASE VARIABLES?
The indicator uses four moving averages to identify these three variables.
1) TREND
Using two moving averages, we detect the chart's trend depending on how they cross and separate, so that the result will be (BULL, BEAR, NEUTRAL).
2) STRENGTH
Using two more moving averages, we detect the strength at that moment, that is, where the price is headed, regardless of its trend. The result will be (BULL, BEAR, NEUTRAL).
3) MOMENTUM
Using the intersection of two moving averages, we detect momentum, so that we know if the strength is still active in the same direction or is losing strength. The result will be (BULL, BEAR, NEUTRAL).
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CONTROL TABLE
The main advantage of the indicator is that it calculates the three variables (trend, strength, momentum) in the main timeframes and displays them in a control table so we can see the current price status at a glance.
It will also display a message for each timeframe as the sum of the three variables, so we know what's happening at any given moment without having to analyze anything.
Three types of messages for each timeframe (e.g., Weekly):
1) Weekly: BULLISH (losing strength) --> It's bullish, but it's losing strength because the momentum is bearish.
2) Weekly: BULLISH --> It's bullish.
3) Weekly: BULLISH (retracement) --> It's bullish in a retracement phase because its strength is bearish.
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GRAPH DISPLAY
1) The control table: (This is optional to display).
2) The 4 Moving Averages: (This is optional to display and the colors can be changed).
3) Bull or Bear signals based on strength: Bull or Bear messages will appear on the chart each time the strength changes value. (This is also optional to display and the colors can be changed).
4) Triangles at the bottom of the chart indicating price momentum: (This is also optional to display).
This is what the indicator provides to improve our daily trading.
For more information, please contact us in the following ways:
My TradingView profile: jmesado
Email: jmesado@gmail.com
Website: forexfibonacci.es
Thank you very much, and we will continue to update the indicator with improvements we already have in mind.
Greetings, TradingView community.
Triple RSI + MA這是一款強化型 RSI 技術指標，結合三組自定義 RSI 與其移動平均線（MA），提供多周期動能趨勢的視覺化參考，適合用於辨識轉折、背離、動能強弱切換等交易場景。
📈 功能亮點：
🔁 三組 RSI 自由調整：可針對短期、中期、長期分別設定不同 RSI 長度與資料來源
🔧 內建四種 MA 類型：支援 SMA、EMA、WMA、RMA，靈活調整每組 RSI 的平滑方式
🎯 多重動能對比：可觀察各週期 RSI 的同步與背離，輕鬆捕捉趨勢轉折
📊 視覺清晰：每組 RSI 與其 MA 使用不同顏色繪圖，輔以70/30超買超賣水平線，易於解讀
✅ 適用於多種市場：無論是股票、外匯、加密貨幣皆可適用
🧠 使用建議：
RSI 交叉其 MA 可作為轉勢訊號輔助
不同週期 RSI 出現背離時，代表可能的趨勢弱化或反轉
RSI 穿越 50 水平線可用作強弱分界
📌 Indicator Name (Suggested):
Triple RSI + MA – Multi-Timeframe Momentum Analyzer
📄 Description:
Triple RSI + MA is a powerful momentum analysis tool that combines three individually configurable RSI indicators with their corresponding moving averages. This multi-timeframe setup helps traders gain deeper insight into potential trend reversals, divergences, and momentum shifts.
🚀 Key Features:
🔁 Three Independent RSI Inputs: Customize the source and length for short-, medium-, and long-term RSI signals
🔧 Built-In MA Smoothing Options: Choose from SMA, EMA, WMA, or RMA to smooth each RSI line individually
🔍 Multi-Timeframe Momentum View: Compare RSI behavior across different timeframes to identify trend alignment or divergence
🎨 Clear Visual Representation: Each RSI and MA is color-coded, with overbought (70), oversold (30), and neutral (50) levels clearly marked
🧩 Versatile Across Markets: Suitable for use in forex, stocks, crypto, and other trading instruments
📘 How to Use:
RSI crossing above or below its MA can signal short-term momentum shifts
Divergences between different RSI levels may suggest a weakening or reversal of the current trend
The 50 level acts as a neutral zone – crossing above may indicate bullish momentum, and below suggests bearish pressure
Dual Range Filter with VOL Stats (Enhanced)Advanced Event Trading Signal System for Binance
English:
This state-of-the-art analytical system is meticulously designed for Binance Event Contracts, leveraging sophisticated algorithmic technology to capture high-probability trading opportunities during market events. The system demonstrates exceptional performance specifically on 10-minute and 30-minute timeframes, where its proprietary signal generation achieves optimal accuracy. Through comprehensive win rate statistics and institutional-grade volume analysis, this advanced indicator provides traders with statistically validated entry points for event-driven market movements.
高级事件交易信号系统（币安事件合约专用）
中文：
这是一套专为币安事件合约精心设计的尖端分析系统，运用复杂的算法技术在市场事件中捕捉高概率交易机会。该系统在10分钟和30分钟时间周期上表现卓越，其专有信号生成技术达到最佳精度。通过全面的胜率统计和机构级成交量分析，这个高级指标为交易者提供经过统计验证的事件驱动型市场走势入场点。
Optimal Performance / 最佳性能:
Specialized for 10-minute and 30-minute timeframes / 专为10分钟和30分钟周期优化
Event-driven signal generation / 事件驱动型信号生成
Statistical validation through comprehensive win rate tracking / 通过全面胜率追踪进行统计验证
Professional event trading analytics / 专业事件交易分析
EMA50 Crossover Momentum Strategy v2I have observed such a phenomenon: when the stock price crosses EMA50 from a low point, its potential energy usually supports the stock price to continue to move to the same distance as before the crossing. For example, when the stock price is below EMA50, the lowest point is 5, and when it crosses the EMA50 of the previous trading day (because the EMA50 of the current trading day is changing, in order to simplify the calculation, take the EMA50 of the previous trading day), the price is 10, then the stock price is likely to continue to rise to 15.
True SeasonalityCONCEPTS
True Seasonality Indicator designed to forecast price based on historical data, best use on daily chart.
DETAILS & EXAMPLE OF HOW TO USE
On Gold chart, the blue graph indicate the few projected days in the future. On 8 April 2025, the indicator showing potential uptrend movement until mid of April, and after that sideways for sometimes.
FEATURES
Adjustable forecast bars & lookback
LIMITATIONS
The Indicator is best applied on daily chart.
Not intended as a stand-alone signal, but should be as part of long-term strategy analysis.
Should be combined with other lower-timeframe technical tools like supply and demand to find entry and confirmation.
Fair Value Trend Model [SiDec]ABSTRACT
This pine script introduces the Fair Value Trend Model, an on-chart indicator for TradingView that constructs a continuously updating "fair-value" estimate of an asset's price via a logarithmic regression on historical data. Specifically, this model has been applied to Bitcoin (BTC) to fully grasp its fair value in the cryptocurrency market. Symmetric channel bands, defined by fixed percentage offsets around this central fair-value curve, provide a visual band within which normal price fluctuations may occur. Additionally, a short-term projection extends both the fair-value trend and its channel bands forward by a user-specified number of bars.
INTRODUCTION
Technical analysts frequently seek to identify an underlying equilibrium or "fair value" about which prices oscillate. Traditional approaches-moving averages, linear regressions in price-time space, or midlines-capture linear trends but often misrepresent the exponential or power-law growth patterns observable in many financial markets. The Fair Value Trend Model addresses this by performing an ordinary least squares (OLS) regression in log-space, fitting ln(Price) against ln(Days since inception). In practice, the primary application has been to Bitcoin, aiming to fully capture Bitcoin's underlying value dynamics.
The result is a curved trend line in regular (price-time) coordinates, reflecting Bitcoin's long-term compounding characteristics. Surrounding this fair-value curve, symmetric bands at user-specified percentage deviations serve as dynamic support and resistance levels. A simple linear projection extends both the central fair-value and its bands into the immediate future, providing traders with a heuristic for short-term trend continuation.
This exposition details:
Data transformation: converting bar timestamps into days since first bar, then applying natural logarithms to both time and price.
Regression mechanics: incremental (or rolling-window) accumulation of sums to compute the log-space fit parameters.
Fair-value reconstruction: exponentiation of the regression output to yield a price-space estimate.
Channel-band definition: establishing ±X% offsets around the fair-value curve and rendering them visually.
Forecasting methodology: projecting both the fair-value trend and channel bands by extrapolating the most recent incremental change in price-space.
Interpretation: how traders can leverage this model for trend identification, mean-reversion setups, and breakout analysis, particularly in Bitcoin trading.
Analysing the macro cycle on Bitcoin's monthly timeframe illustrates how the fair-value curve aligns with multi-year structural turning points.
DATA TRANSFORMATION AND NOTATION
1. Timestamp Baseline (t0)
Let t0 = timestamp of the very first bar on the chart (in milliseconds). Each subsequent bar has a timestamp ti, where ti ≥ t0.
2. Days Since Inception (d(t))
Define the “days since first bar” as
d(t) = max(1, (t − t0) / 86400000.0)
Here, 86400000.0 represents the number of milliseconds in one day (1,000 ms × 60 seconds × 60 minutes × 24 hours). The lower bound of 1 ensures that we never compute ln(0).
3. Logarithmic Coordinates:
Given the bar’s closing price P(t), define:
xi = ln( d(ti) )
yi = ln( P(ti) )
Thus, each data point is transformed to (xi, yi) in log‐space.
REGRESSION FORMULATION
We assume a log‐linear relationship:
yi = a + b·xi + εi
where εi is the residual error at bar i. Ordinary least squares (OLS) fitting minimizes the sum of squared residuals over N data points. Define the following accumulated sums:
Sx = Σ for i = 1 to N
Sy = Σ for i = 1 to N
Sxy = Σ for i = 1 to N
Sx2 = Σ for i = 1 to N
N = number of data points
The OLS estimates for b (slope) and a (intercept) are:
b = ( N·Sxy − Sx·Sy ) / ( N·Sx2 − (Sx)^2 )
a = ( Sy − b·Sx ) / N
All‐Time Versus Rolling‐Window Mode:
All-Time Mode:
Each new bar increments N by 1.
Update Sx ← Sx + xN, Sy ← Sy + yN, Sxy ← Sxy + xN·yN, Sx2 ← Sx2 + xN^2.
Recompute a and b using the formulas above on the entire dataset.
Rolling-Window Mode:
Fix a window length W. Maintain two arrays holding the most recent W values of {xi} and {yi}.
On each new bar N:
Append (xN, yN) to the arrays; add xN, yN, xN·yN, xN^2 to the sums Sx, Sy, Sxy, Sx2.
If the arrays’ length exceeds W, remove the oldest point (xN−W, yN−W) and subtract its contributions from the sums.
Update N_roll = min(N, W).
Compute b and a using N_roll, Sx, Sy, Sxy, Sx2 as above.
This incremental approach requires only O(1) operations per bar instead of recomputing sums from scratch, making it computationally efficient for long time series.
FAIR‐VALUE RECONSTRUCTION
Once coefficients (a, b) are obtained, the regressed log‐price at time t is:
ŷ(t) = a + b·ln( d(t) )
Mapping back to price space yields the “fair‐value”:
F(t) = exp( ŷ(t) )
= exp( a + b·ln( d(t) ) )
= exp(a) · ^b
In other words, F(t) is a power‐law function of “days since inception,” with exponent b and scale factor C = exp(a). Special cases:
If b = 1, F(t) = C · d(t), which is an exponential function in original time.
If b > 1, the fair‐value grows super‐linearly (accelerating compounding).
If 0 < b < 1, it grows sub‐linearly.
If b < 0, the fair‐value declines over time.
CHANNEL‐BAND DEFINITION
To visualise a “normal” range around the fair‐value curve F(t), we define two channel bands at fixed percentage offsets:
1. Upper Channel Band
U(t) = F(t) · (1 + α_upper)
where α_upper = (Channel Band Upper %) / 100.
2. Lower Channel Band
L(t) = F(t) · (1 − α_lower)
where α_lower = (Channel Band Lower %) / 100.
For example, default values of 50% imply α_upper = α_lower = 0.50, so:
U(t) = 1.50 · F(t)
L(t) = 0.50 · F(t)
When “Show FV Channel Bands” is enabled, both U(t) and L(t) are plotted in a neutral grey, and a semi‐transparent fill is drawn between them to emphasise the channel region.
SHORT‐TERM FORECAST PROJECTION
To extend both the fair‐value and its channel bands M bars into the future, the model uses a simple constant‐increment extrapolation in price space. The procedure is:
1. Compute Recent Increments
Let
F_prev = F( t_{N−1} )
F_curr = F( t_N )
Then define the per‐bar change in fair‐value:
ΔF = F_curr − F_prev
Similarly, for channel bands:
U_prev = U( t_{N−1} ), U_curr = U( t_N ), ΔU = U_curr − U_prev
L_prev = L( t_{N−1} ), L_curr = L( t_N ), ΔL = L_curr − L_prev
2. Forecasted Values After M Bars
Assuming the same per‐bar increments continue:
F_future = F_curr + M · ΔF
U_future = U_curr + M · ΔU
L_future = L_curr + M · ΔL
These forecasted values produce dashed lines on the chart:
A dashed segment from (bar_N, F_curr) to (bar_{N+M}, F_future).
Dashed segments from (bar_N, U_curr) to (bar_{N+M}, U_future), and from (bar_N, L_curr) to (bar_{N+M}, L_future).
Forecasted channel bands are rendered in a subdued grey to distinguish them from the current solid bands. Because this method does not re‐estimate regression coefficients for future t > t_N, it serves as a quick visual heuristic of trend continuation rather than a precise statistical forecast.
MATHEMATICAL SUMMARY
Summarising all key formulas:
1. Days Since Inception
d(t_i) = max( 1, ( t_i − t0 ) / 86400000.0 )
x_i = ln( d(t_i) )
y_i = ln( P(t_i) )
2. Regression Summations (for i = 1..N)
Sx = Σ
Sy = Σ
Sxy = Σ
Sx2 = Σ
N = number of data points (or N_roll if using rolling‐window)
3. OLS Estimator
b = ( N · Sxy − Sx · Sy ) / ( N · Sx2 − (Sx)^2 )
a = ( Sy − b · Sx ) / N
4. Fair‐Value Computation
ŷ(t) = a + b · ln( d(t) )
F(t) = exp( ŷ(t) ) = exp(a) · ^b
5. Channel Bands
U(t) = F(t) · (1 + α_upper)
L(t) = F(t) · (1 − α_lower)
with α_upper = (Channel Band Upper %) / 100, α_lower = (Channel Band Lower %) / 100.
6. Forecast Projection
ΔF = F_curr − F_prev
F_future = F_curr + M · ΔF
ΔU = U_curr − U_prev
U_future = U_curr + M · ΔU
ΔL = L_curr − L_prev
L_future = L_curr + M · ΔL
IMPLEMENTATION CONSIDERATIONS
1. Time Precision
Timestamps are recorded in milliseconds. Dividing by 86400000.0 yields days with fractional precision.
For the very first bar, d(t) = 1 ensures x = ln(1) = 0, avoiding an undefined logarithm.
2. Incremental Versus Sliding Summation
All‐Time Mode: Uses persistent scalar variables (Sx, Sy, Sxy, Sx2, N). On each new bar, add the latest x and y contributions to the sums.
Rolling‐Window Mode: Employs fixed‐length arrays for {x_i} and {y_i}. On each bar, append (x_N, y_N) and update sums; if array length exceeds W, remove the oldest element and subtract its contribution from the sums. This maintains exact sums over the most recent W data points without recomputing from scratch.
3. Numerical Robustness
If the denominator N·Sx2 − (Sx)^2 equals zero (e.g., all x_i identical, as when only one day has passed), then set b = 0 and a = Sy / N. This produces a constant fair‐value F(t) = exp(a).
Enforcing d(t) ≥ 1 avoids attempts to compute ln(0).
4. Plotting Strategy
The fair‐value line F(t) is plotted on each new bar. Its color depends on whether the current price P(t) is above or below F(t): a “bullish” color (e.g., green) when P(t) ≥ F(t), and a “bearish” color (e.g., red) when P(t) < F(t).
The channel bands U(t) and L(t) are plotted in a neutral grey when enabled; otherwise they are set to “not available” (no plot).
A semi‐transparent fill is drawn between U(t) and L(t). Because the fill function is executed at global scope, it is automatically suppressed if either U(t) or L(t) is not plotted (na).
5. Forecast Line Management
Each projection line (for F, U, and L) is created via a persistent line object. On successive bars, the code updates the endpoints of the same line rather than creating a new one each time, preserving chart clarity.
If forecasting is disabled, any existing projection lines are deleted to avoid cluttering the chart.
INTERPRETATION AND APPLICATIONS
1. Trend Identification
The fair‐value curve F(t) represents the best‐fit long‐term trend under the assumption that ln(Price) scales linearly with ln(Days since inception). By capturing power‐law or exponential patterns, it can more accurately reflect underlying compounding behavior than simple linear regressions.
When actual price P(t) lies above U(t), it may be considered “overextended” relative to its long‐term trend; when price falls below L(t), it may be deemed “oversold.” These conditions can signal potential mean‐reversion or breakout opportunities.
2. Mean‐Reversion and Breakout Signals
If price re‐enters the channel after touching or slightly breaching L(t), some traders interpret this as a mean‐reversion bounce and consider initiating a long position.
Conversely, a sustained move above U(t) can indicate strong upward momentum and a possible bullish breakout. Traders often seek confirmation (e.g., price remaining above U(t) for multiple bars, rising volume, or corroborating momentum indicators) before acting.
3. Rolling Versus All‐Time Usage
All‐Time Mode: Captures the entire dataset since inception, focusing on structural, long‐term trends. It is less sensitive to short‐term noise or volatility spikes.
Rolling‐Window Mode: Restricts the regression to the most recent W bars, making the fair‐value curve more responsive to changing market regimes, sudden volatility expansions, or fundamental shifts. Traders who wish to align the model with local behaviour often choose W so that it approximates a market cycle length (e.g., 100–200 bars on a daily chart).
4. Channel Percentage Selection
A wider band (e.g., ±50 %) accommodates larger price swings, reducing the frequency of breaches but potentially delaying actionable signals.
A narrower band (e.g., ±10 %) yields more frequent “overbought/oversold” alerts but may produce more false signals during normal volatility. It is advisable to calibrate the channel width to the asset’s historical volatility regime.
5. Forecast Cautions
The short‐term projection assumes that the last single‐bar increment ΔF remains constant for M bars. In reality, trend acceleration or deceleration can occur, rendering the linear forecast inaccurate.
As such, the forecast serves as a visual guide rather than a statistically rigorous prediction. It is best used in conjunction with other momentum, volume, or volatility indicators to confirm trend continuation or reversal.
LIMITATIONS AND CONSIDERATIONS
1. Power‐Law Assumption
By fitting ln(P) against ln(d), the model posits that P(t) ≈ C · ^b. Real markets may deviate from a pure power‐law, especially around significant news events or structural regime changes. Temporary misalignment can occur.
2. Fixed Channel Width
Markets exhibit heteroskedasticity: volatility can expand or contract unpredictably. A static ±X % band does not adapt to changing volatility. During high‐volatility periods, a fixed ±50 % may prove too narrow and be breached frequently; in unusually calm periods, it may be excessively broad, masking meaningful variations.
3. Endpoint Sensitivity
Regression‐based indicators often display greater curvature near the most recent data, especially under rolling‐window mode. This can create sudden “jumps” in F(t) when new bars arrive, potentially confusing users who expect smoother behaviour.
4. Forecast Simplification
The projection does not re‐estimate regression slope b for future times. It only extends the most recent single‐bar change. Consequently, it should be regarded as an indicative extension rather than a precise forecast.
PRACTICAL IMPLEMENTATION ON TRADINGVIEW
1 Adding the Indicator
In TradingView’s “Indicators” dialog, search for Fair Value Trend Model or visit my profile, under "scripts" add it to your chart.
Add it to any chart (e.g., BTCUSD, AAPL, EURUSD) to see real‐time computation.
2. Configuring Inputs
Show Forecast Line: Toggle on or off the dashed projection of the fair‐value.
Forecast Bars: Choose M, the number of bars to extend into the future (default is often 30).
Forecast Line Colour: Select a high‐contrast colour (e.g., yellow).
Bullish FV Colour / Bearish FV Colour: Define the colour of the fair‐value line when price is above (e.g., green) or below it (e.g., red).
Show FV Channel Bands: Enable to display the grey channel bands around the fair‐value.
Channel Band Upper % / Channel Band Lower %: Set α_upper and α_lower as desired (defaults of 50 % create a ±50 % envelope).
Use Rolling Window?: Choose whether to restrict the regression to recent data.
Window Bars: If rolling mode is enabled, designate W, the number of bars to include.
3. Visual Output
The central curve F(t) appears on the price chart, coloured green when P(t) ≥ F(t) and red when P(t) < F(t).
If channel bands are enabled, the chart shows two grey lines U(t) and L(t) and a subtle shading between them.
If forecasting is active, dashed extensions of F(t), U(t), and L(t) appear, projecting forward by M bars in neutral hues.
CONCLUSION
The Fair Value Trend Model furnishes traders with a mathematically principled estimate of an asset’s equilibrium price curve by fitting a log‐linear regression to historical data. Its channel bands delineate a normal corridor of fluctuation based on fixed percentage offsets, while an optional short‐term projection offers a visual approximation of trend continuation.
By operating in log‐space, the model effectively captures exponential or power‐law growth patterns that linear methods overlook. Rolling‐window capability enables responsiveness to regime shifts, whereas all‐time mode highlights broader structural trends. Nonetheless, users should remain mindful of the model’s assumptions—particularly the power‐law form and fixed band percentages—and employ the forecast projection as a supplemental guide rather than a standalone predictor.
When combined with complementary indicators (e.g., volatility measures, momentum oscillators, volume analysis) and robust risk management, the Fair Value Trend Model can enhance market timing, mean‐reversion identification, and breakout detection across diverse trading environments.
REFERENCES
Draper, N. R., & Smith, H. (1998). Applied Regression Analysis (3rd ed.). Wiley.
Tsay, R. S. (2014). Introductory Time Series with R (2nd ed.). Springer.
Hull, J. C. (2017). Options, Futures, and Other Derivatives (10th ed.). Pearson.
These references provide background on regression, time-series analysis, and financial modeling.
DCA Investment Tracker Pro [tradeviZion]DCA Investment Tracker Pro: Educational DCA Analysis Tool
An educational indicator that helps analyze Dollar-Cost Averaging strategies by comparing actual performance with historical data calculations.
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💡 Why I Created This Indicator
As someone who practices Dollar-Cost Averaging, I was frustrated with constantly switching between spreadsheets, calculators, and charts just to understand how my investments were really performing. I wanted to see everything in one place - my actual performance, what I should expect based on historical data, and most importantly, visualize where my strategy could take me over the long term .
What really motivated me was watching friends and family underestimate the incredible power of consistent investing. When Napoleon Bonaparte first learned about compound interest, he reportedly exclaimed "I wonder it has not swallowed the world" - and he was right! Yet most people can't visualize how their $500 monthly contributions today could become substantial wealth decades later.
Traditional DCA tracking tools exist, but they share similar limitations:
Require manual data entry and complex spreadsheets
Use fixed assumptions that don't reflect real market behavior
Can't show future projections overlaid on actual price charts
Lose the visual context of what's happening in the market
Make compound growth feel abstract rather than tangible
I wanted to create something different - a tool that automatically analyzes real market history, detects volatility periods, and shows you both current performance AND educational projections based on historical patterns right on your TradingView charts. As Warren Buffett said: "Someone's sitting in the shade today because someone planted a tree a long time ago." This tool helps you visualize your financial tree growing over time.
This isn't just another calculator - it's a visualization tool that makes the magic of compound growth impossible to ignore.
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🎯 What This Indicator Does
This educational indicator provides DCA analysis tools. Users can input investment scenarios to study:
Theoretical Performance: Educational calculations based on historical return data
Comparative Analysis: Study differences between actual and theoretical scenarios
Historical Projections: Theoretical projections for educational analysis (not predictions)
Performance Metrics: CAGR, ROI, and other analytical metrics for study
Historical Analysis: Calculates historical return data for reference purposes
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🚀 Key Features
Volatility-Adjusted Historical Return Calculation
Analyzes 3-20 years of actual price data for any symbol
Automatically detects high-volatility stocks (meme stocks, growth stocks)
Uses median returns for volatile stocks, standard CAGR for stable stocks
Provides conservative estimates when extreme outlier years are detected
Smart fallback to manual percentages when data insufficient
Customizable Performance Dashboard
Educational DCA performance analysis with compound growth calculations
Customizable table sizing (Tiny to Huge text options)
9 positioning options (Top/Middle/Bottom + Left/Center/Right)
Theme-adaptive colors (automatically adjusts to dark/light mode)
Multiple display layout options
Future Projection System
Visual future growth projections
Timeframe-aware calculations (Daily/Weekly/Monthly charts)
1-30 year projection options
Shows projected portfolio value and total investment amounts
Investment Insights
Performance vs benchmark comparison
ROI from initial investment tracking
Monthly average return analysis
Investment milestone alerts (25%, 50%, 100% gains)
Contribution tracking and next milestone indicators
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📊 Step-by-Step Setup Guide
1. Investment Settings 💰
Initial Investment: Enter your starting lump sum (e.g., $60,000)
Monthly Contribution: Set your regular DCA amount (e.g., $500/month)
Return Calculation: Choose "Auto (Stock History)" for real data or "Manual" for fixed %
Historical Period: Select 3-20 years for auto calculations (default: 10 years)
Start Year: When you began investing (e.g., 2020)
Current Portfolio Value: Your actual portfolio worth today (e.g., $150,000)
2. Display Settings 📊
Table Sizes: Choose from Tiny, Small, Normal, Large, or Huge
Table Positions: 9 options - Top/Middle/Bottom + Left/Center/Right
Visibility Toggles: Show/hide Main Table and Stats Table independently
3. Future Projection 🔮
Enable Projections: Toggle on to see future growth visualization
Projection Years: Set 1-30 years ahead for analysis
Live Example - NASDAQ:META Analysis:
Settings shown: $60K initial + $500/month + Auto calculation + 10-year history + 2020 start + $150K current value
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🔬 Pine Script Code Examples
Core DCA Calculations:
// Calculate total invested over time
months_elapsed = (year - start_year) * 12 + month - 1
total_invested = initial_investment + (monthly_contribution * months_elapsed)
// Compound growth formula for initial investment
theoretical_initial_growth = initial_investment * math.pow(1 + annual_return, years_elapsed)
// Future Value of Annuity for monthly contributions
monthly_rate = annual_return / 12
fv_contributions = monthly_contribution * ((math.pow(1 + monthly_rate, months_elapsed) - 1) / monthly_rate)
// Total expected value
theoretical_total = theoretical_initial_growth + fv_contributions
Volatility Detection Logic:
// Detect extreme years for volatility adjustment
extreme_years = 0
for i = 1 to historical_years
yearly_return = ((price_current / price_i_years_ago) - 1) * 100
if yearly_return > 100 or yearly_return < -50
extreme_years += 1
// Use median approach for high volatility stocks
high_volatility = (extreme_years / historical_years) > 0.2
calculated_return = high_volatility ? median_of_returns : standard_cagr
Performance Metrics:
// Calculate key performance indicators
absolute_gain = actual_value - total_invested
total_return_pct = (absolute_gain / total_invested) * 100
roi_initial = ((actual_value - initial_investment) / initial_investment) * 100
cagr = (math.pow(actual_value / initial_investment, 1 / years_elapsed) - 1) * 100
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📊 Real-World Examples
See the indicator in action across different investment types:
Stable Index Investments:
AMEX:SPY (SPDR S&P 500) - Shows steady compound growth with standard CAGR calculations
Classic DCA success story: $60K initial + $500/month starting 2020. The indicator shows SPY's historical 10%+ returns, demonstrating how consistent broad market investing builds wealth over time. Notice the smooth theoretical growth line vs actual performance tracking.
MIL:VUAA (Vanguard S&P 500 UCITS) - Shows both data limitation and solution approaches
Data limitation example: VUAA shows "Manual (Auto Failed)" and "No Data" when default 10-year historical setting exceeds available data. The indicator gracefully falls back to manual percentage input while maintaining all DCA calculations and projections.
MIL:VUAA (Vanguard S&P 500 UCITS) - European ETF with successful 5-year auto calculation
Solution demonstration: By adjusting historical period to 5 years (matching available data), VUAA auto calculation works perfectly. Shows how users can optimize settings for newer assets. European market exposure with EUR denomination, demonstrating DCA effectiveness across different markets and currencies.
NYSE:BRK.B (Berkshire Hathaway) - Quality value investment with Warren Buffett's proven track record
Value investing approach: Berkshire Hathaway's legendary performance through DCA lens. The indicator demonstrates how quality companies compound wealth over decades. Lower volatility than tech stocks = standard CAGR calculations used.
High-Volatility Growth Stocks:
NASDAQ:NVDA (NVIDIA Corporation) - Demonstrates volatility-adjusted calculations for extreme price swings
High-volatility example: NVIDIA's explosive AI boom creates extreme years that trigger volatility detection. The indicator automatically switches to "Median (High Vol): 50%" calculations for conservative projections, protecting against unrealistic future estimates based on outlier performance periods.
NASDAQ:TSLA (Tesla) - Shows how 10-year analysis can stabilize volatile tech stocks
Stable long-term growth: Despite Tesla's reputation for volatility, the 10-year historical analysis (34.8% CAGR) shows consistent enough performance that volatility detection doesn't trigger. Demonstrates how longer timeframes can smooth out extreme periods for more reliable projections.
NASDAQ:META (Meta Platforms) - Shows stable tech stock analysis using standard CAGR calculations
Tech stock with stable growth: Despite being a tech stock and experiencing the 2022 crash, META's 10-year history shows consistent enough performance (23.98% CAGR) that volatility detection doesn't trigger. The indicator uses standard CAGR calculations, demonstrating how not all tech stocks require conservative median adjustments.
Notice how the indicator automatically detects high-volatility periods and switches to median-based calculations for more conservative projections, while stable investments use standard CAGR methods.
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📈 Performance Metrics Explained
Current Portfolio Value: Your actual investment worth today
Expected Value: What you should have based on historical returns (Auto) or your target return (Manual)
Total Invested: Your actual money invested (initial + all monthly contributions)
Total Gains/Loss: Absolute dollar difference between current value and total invested
Total Return %: Percentage gain/loss on your total invested amount
ROI from Initial Investment: How your starting lump sum has performed
CAGR: Compound Annual Growth Rate of your initial investment (Note: This shows initial investment performance, not full DCA strategy)
vs Benchmark: How you're performing compared to the expected returns
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⚠️ Important Notes & Limitations
Data Requirements: Auto mode requires sufficient historical data (minimum 3 years recommended)
CAGR Limitation: CAGR calculation is based on initial investment growth only, not the complete DCA strategy
Projection Accuracy: Future projections are theoretical and based on historical returns - actual results may vary
Timeframe Support: Works ONLY on Daily (1D), Weekly (1W), and Monthly (1M) charts - no other timeframes supported
Update Frequency: Update "Current Portfolio Value" regularly for accurate tracking
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📚 Educational Use & Disclaimer
This analysis tool can be applied to various stock and ETF charts for educational study of DCA mathematical concepts and historical performance patterns.
Study Examples: Can be used with symbols like AMEX:SPY , NASDAQ:QQQ , AMEX:VTI , NASDAQ:AAPL , NASDAQ:MSFT , NASDAQ:GOOGL , NASDAQ:AMZN , NASDAQ:TSLA , NASDAQ:NVDA for learning purposes.
EDUCATIONAL DISCLAIMER: This indicator is a study tool for analyzing Dollar-Cost Averaging strategies. It does not provide investment advice, trading signals, or guarantees. All calculations are theoretical examples for educational purposes only. Past performance does not predict future results. Users should conduct their own research and consult qualified financial professionals before making any investment decisions.
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© 2025 TradeVizion. All rights reserved.
Kappa Weighted IndexI have created an indicator with options to select if you invested in separate stocks to get one price index I hope you will find helpful.
Any questions on that please give me a shout
Previous Two Days HL + Asia H/L + 4H Vertical Lines📊 Indicator Overview
This custom TradingView indicator visually marks key market structure levels and session data on your chart using lines, labels, boxes, and vertical guides. It is designed for traders who analyze intraday and multi-session behavior — especially around the New York and Asia sessions — with a focus on 4-hour price ranges.
🔍 What the Indicator Tracks
1. Previous Two Days' Ranges (6PM–5PM NY Time)
PDH/PDL (Day 1 & Day 2): Draws horizontal lines marking the previous two trading days’ highs and lows.
Midlines: Calculates and displays the midpoint between each day’s high and low.
Color-Coded: Uses strong colors for Day 1 and more transparent versions for Day 2, to help differentiate them.
2. Asia Session High/Low (6 PM – 2 AM NY Time)
Automatically tracks the high and low during the Asia session.
Extends these levels until the following day’s NY close (4 PM).
Shows a midline of the Asia session (optional dotted line).
Highlights the Asia session background in gray.
Labels Asia High and Low on the chart for easy reference.
3. Last Closed 4-Hour Candle Range
At the start of every new 4H candle, it:
Draws a box from the last closed 4H candle.
Box spans horizontally across a set number of bars (adjustable).
Top and bottom lines indicate the high and low of that 4H candle.
Midline, 25% (Q1) and 75% (Q3) levels are also drawn inside the box using dotted lines.
Helps traders identify premium/discount zones within the previous 4H range.
4. Vertical 4H Time Markers
Draws vertical dashed lines to mark the start and end of the last 4H candle range.
Based on the standard 4H bar timing in NY (e.g. 5:00, 9:00, 13:00, 17:00).
⚙️ Inputs & Options
Line thickness, color customization for all levels.
Option to place labels on the right or left side of the chart.
Toggle for enabling/disabling the 4H box.
Adjustable box extension length (how far to extend the range visually).
✅ Ideal Use Cases
Identifying reaction zones from prior highs/lows.
Spotting reversals during Asia or NY session opens.
Trading intraday setups based on 4H structure.
Anchoring scalping or swing entries off major session levels.
Enhanced Seasonality Trade BacktestEnhanced Seasonality Trade Backtest
Overview
A comprehensive Pine Script indicator that backtests seasonal trading strategies by analyzing historical price performance during specific date ranges. The tool provides detailed statistics, visual markers, and election cycle filtering to identify profitable seasonal patterns.
Key Features
📊 Backtesting Engine
Tests up to 50 years of historical data
Configurable entry/exit dates (day/month)
Automatic holiday/weekend date adjustment
Separate analysis for long and short positions
🗳️ Election Cycle Filter
All Years: Test every year in the lookback period
Election Years: US presidential election years only (2024, 2020, 2016...)
Pre-Election Years: Years before elections (2023, 2019, 2015...)
Post-Election Years: Years after elections (2021, 2017, 2013...)
📈 Comprehensive Statistics
Win rate percentage
Total and average returns
Best/worst performing years
Detailed trade-by-trade breakdown
Years tested vs. years filtered
🎯 Visual Indicators
Entry/exit lines for all historical trades
Future trade date projections
Background highlighting during trade periods
Color-coded performance labels
⚙️ Customization Options
Toggle between long/short analysis
Show/hide price and date details
Adjustable table position
Future trade date visualization
Use Cases
Seasonal Trading: Identify recurring profitable periods (e.g., "Sell in May")
Election Cycle Analysis: Test how political cycles affect market performance
Strategy Validation: Backtest specific date-range strategies
Risk Assessment: Analyze worst-case scenarios and drawdowns
Perfect For
Swing traders looking for seasonal edges
Portfolio managers timing market entries/exits
Researchers studying market cyclicality
Anyone wanting to quantify seasonal market behavior
ONLY WORKS IN 1D TIME FRAME
