A sophisticated trading bot implementing a strategy based on EMA, CCI, and MACD indicators for 15-second binary options trading.

Trading Setup:

• Timeframe: 15-second candles
• Expiry: 15 seconds
• Indicators:
  • EMA (10 periods)
  • CCI (7 periods)
  • MACD (12, 26, 9)

Buy Signal Conditions:

1. 🟢 Green candle (close > open)
2. 📈 Price crosses EMA upward (close > EMA)
3. 📊 CCI touches +100 (±10 tolerance)
4. 🔄 EMA trending upward

Sell Signal Conditions:

1. 🔴 Red candle (close < open)
2. 📉 Price crosses EMA downward (close < EMA)
3. 📊 CCI touches -100 (±10 tolerance)
4. 🔄 EMA trending downward

Risk Management:

• No martingale system
• Minimum 16-second interval between trades
• Trade amount configurable

RussBot/
├── trading_bot.py          # Main single-asset trading bot
├── multi_asset_bot.py      # Multi-asset trading bot with multiprocessing
├── payout_checker.py       # Asset payout verification tool
├── test_indicators.py      # Test script for indicators
├── test_history.py         # Test script for historical data loading
├── test_simple_history.py  # Simple history function test
├── config.py              # Configuration settings
├── run_bot.py             # Simple launcher script
├── assets-otc.tested.txt  # List of available assets
├── context.txt            # API usage examples
└── README.md              # This file

pip install pandas numpy BinaryOptionsToolsV2

• Python 3.7 or higher
• Asyncio support required

python trading_bot.py

python multi_asset_bot.py

python payout_checker.py

python run_bot.py

python test_indicators.py

Edit config.py to customize trading parameters:

TRADING_CONFIG = {
    "asset": "EURUSD_otc",
    "amount": 1.0,
    "expiry_time": 15,
    "ema_period": 10,
    "cci_period": 7,
    "cci_tolerance": 10,
    # ... more settings
}

1. Install dependencies:

   pip install pandas numpy BinaryOptionsToolsV2

2. Get your SSID:

   • Log into your PocketOption account
   • Extract the SSID from browser cookies/network tab

3. Test historical data loading:

   python test_history.py

4. Test indicators first:

   python test_indicators.py

5. Run the bot:

   python trading_bot.py

6. Enter your SSID when prompted

• Concurrent processing of multiple assets using multiprocessing
• Payout filtering - only trades assets with >90% payout
• 1-second candle intervals for faster signal detection
• Automatic asset loading from assets-otc.tested.txt
• Process management with configurable concurrent limits

• Pre-loads historical candles using api.history() before starting live trading
• Immediate indicator calculation - no waiting for 26+ live candles
• Fallback support - continues with live data if historical loading fails
• Configurable history periods for different data amounts

• EMA (Exponential Moving Average): Trend direction
• CCI (Commodity Channel Index): Overbought/oversold conditions
• MACD: Momentum confirmation

• Real-time candle analysis using subscribe_symbol_timed
• Strict signal validation (all conditions must be met)
• Automatic trade execution with result tracking
• Comprehensive logging and error handling

• Trade cooldown period (prevents overtrading)
• Input validation and error handling
• Position size management
• Real-time balance monitoring

python payout_checker.py

• Loads all assets from assets-otc.tested.txt
• Checks payout percentages for each asset
• Filters assets with >90% payout
• Saves valid assets to valid_assets.txt

python multi_asset_bot.py

• Prompts for SSID and trade amount
• Creates separate processes for each valid asset
• Each process runs the full trading strategy
• 1-second candle intervals for faster signals
• Concurrent trading across multiple assets

• Configurable concurrent limit (default: 10 processes)
• Graceful shutdown with Ctrl+C
• Individual process monitoring with [P{id}] tags
• Error isolation - one asset failure doesn't affect others

The bot implements a multi-indicator confluence strategy:

1. Trend Identification: EMA determines the overall trend direction
2. Entry Timing: CCI extreme levels (±100) indicate potential reversal points
3. Confirmation: Candle color and price-EMA relationship confirm direction
4. Execution: All conditions must align for trade execution

The bot provides real-time feedback:

• 📊 Market analysis for each candle
• 🔍 Signal detection status
• 💰 Trade execution confirmations
• 📈 Trade results after expiry

⚠️ IMPORTANT: This bot is for educational purposes. Binary options trading carries significant financial risk. Never trade with money you cannot afford to lose.

• Test thoroughly on demo accounts first
• Start with small amounts
• Monitor bot performance closely
• Understand the strategy before using

1. Import Errors:

   pip install --upgrade BinaryOptionsToolsV2

2. Connection Issues:

   • Verify SSID is correct
   • Check internet connection
   • Ensure PocketOption account is active

3. No Trading Signals:

   • Strategy requires specific market conditions
   • All indicators must align simultaneously
   • Consider adjusting CCI tolerance in config

• Check context.txt for API usage examples
• Test individual indicators with test_indicators.py
• Review configuration in config.py

This project is for educational purposes. Use at your own risk.

Happy Trading! 🚀