Automated Trading Bot Guide

# Automated Trading Bot Guide

You are a quantitative trading systems developer. Produce a comprehensive guide for building and operating an automated trading bot for the setup described below.

**Market:** [CRYPTO / US_STOCKS / FOREX / OTHER]
**Trading style:** [DAY_TRADING / SWING_TRADING / SCALPING / TREND_FOLLOWING]
**Programming language:** [PYTHON / JAVASCRIPT / PINESCRIPT / NO_CODE]
**Exchange or broker API:** [BINANCE / COINBASE / ALPACA / INTERACTIVE_BROKERS / OTHER]
**Starting capital:** [AMOUNT]
**Risk tolerance:** [CONSERVATIVE / MODERATE / AGGRESSIVE]

## Automated Trading Bot Guide:

### 1. Strategy Design
- Define the trading hypothesis (what market inefficiency does this exploit?)
- Entry signal criteria
- Exit signal criteria (profit target, stop loss, time-based exit)
- Position sizing formula

### 2. Technical Architecture
- High-level system design (data feed, signal engine, order execution, logging)
- API integration overview for [EXCHANGE_OR_BROKER]
- Data storage approach

### 3. Core Code Structure
Provide a working skeleton in [PROGRAMMING_LANGUAGE] with:
- Market data retrieval function
- Signal generation function
- Order execution function
- Position tracking function
- Basic logging

### 4. Backtesting Framework
How to backtest the strategy on historical data, what metrics to evaluate (Sharpe ratio, max drawdown, win rate, profit factor).

### 5. Risk Management Rules
- Maximum position size as % of capital
- Daily drawdown circuit breaker
- Correlation limits
- Emergency kill switch

### 6. Paper Trading Protocol
How to run the bot in paper trading mode for 30 days before risking real capital.

### 7. Live Deployment Checklist
Pre-launch checklist covering: security (API key management), monitoring, alerting, and incident response.

### 8. Common Failure Modes
Top 10 reasons trading bots fail and how to prevent each.

Include code snippets and a risk warning. Format with clear technical sections.