crypto-self-learning

Overview

Crypto Self-Learning is an AI-powered self-improvement system for crypto trading. It logs trades with full context, analyzes patterns of wins/losses, and auto-updates trading rules.

Key Features

• Logs every trade with full context
• Analyzes patterns in wins vs losses
• Generates rules from real data
• Updates memory automatically

How It Works

1. Log every trade with full context
2. Analyze patterns in wins vs losses
3. Generate rules from real data
4. Update memory automatically

Use Cases

• Improve trading accuracy over time
• Identify what works/fails
• Continuously improve trading rules

Integration with tess-cripto

Add to tess-cripto’s workflow:

1. Before trade: Check rules in MEMORY.md
2. After trade: Log with full context
3. Weekly: Run analysis and update memory