Alpaca Trader
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# Alpaca Trader
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Automated day trading bot for Alpaca Markets using technical indicators and risk management.
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## Features
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- Multiple technical indicators (SMA/EMA, RSI, ADX, ATR, MACD, Bollinger Bands)
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- Advanced risk management with trailing stops and profit targets
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- Market regime detection (trend/range/high vol/low vol)
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- Multi-timeframe confluence analysis
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- Position sizing based on account equity and risk per trade
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- Support for both long and short positions
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- Configurable via JSON config file
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## Requirements
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- Python 3.8+
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- Alpaca Markets account (paper or live)
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## Installation
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```bash
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pip install -r requirements.txt
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```
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## Configuration
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1. Create `.env` file in `alpaca_trader/` directory:
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```
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APCA_API_KEY_ID="your_api_key"
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APCA_API_SECRET_KEY="your_secret_key"
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APCA_API_BASE_URL="https://paper-api.alpaca.markets"
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```
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2. Modify `config.json` to adjust trading parameters:
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- `SYMBOL`: Stock to trade (default: SPY)
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- `RISK_PER_TRADE`: Risk per trade as % of equity (default: 0.005)
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- `MAX_TRADES_PER_DAY`: Daily trade limit (default: 5)
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- `ENABLE_SHORT_SELLING`: Enable/disable short positions (default: true)
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## Usage
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```bash
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python run.py
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```
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Or:
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```bash
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python -m alpaca_trader
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```
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## Key Parameters
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- **SHORT_WINDOW**: Fast moving average period (default: 20)
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- **LONG_WINDOW**: Slow moving average period (default: 50)
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- **ADX_THRESHOLD**: Minimum ADX for trend detection (default: 20)
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- **ATR_STOP_MULTIPLIER**: Stop loss distance in ATR units (default: 1.5)
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- **USE_TRAILING_STOP**: Enable trailing stop loss (default: true)
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- **PROFIT_TARGET_1**: First profit target in R (default: 1.5)
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- **PROFIT_TARGET_2**: Second profit target in R (default: 3.0)
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## Logging
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- `trading.log`: Main trading activity log
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- `debug.log`: Detailed debug information
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## Warning
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This is for educational purposes. Test thoroughly in paper trading before using real capital. Trading involves risk of loss.
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