Guides
🦉 AthenaAI is an AI-powered ensemble machine-learning trading bot for PocketOption, built on BinaryOptionsToolsV2 → Get it on GitLab
💬 Need help? Join the Chipa Discord · ⚡ Go no-code with ChipaEditor
Task-oriented walkthroughs for operating the bot day to day.
| Guide | Description |
|---|---|
| Architecture | How all the pieces fit together, from candle stream to trade result |
| Live trading | Running the bot day to day and reading its logs |
| Training the brain | Offline training with train.py, including GPU training |
| Data formats | Supported candle CSV formats and where to get data |
| Risk management | Kelly staking, loss limits, and cooldowns |
| Persistence | The brain file, expiry stats, and the SQLite trade journal |
| GPU training | CUDA/MPS setup and brain portability |
| Troubleshooting | Symptoms, causes, and fixes |
Level Up Your AthenaAI Setup
- 🦉 Get AthenaAI on GitLab → — clone the source, open issues, and contribute improvements.
- 💬 Join the Chipa Discord → — get real-time support, share your results, and swap strategy ideas with other AthenaAI users.
- ⚡ Try ChipaEditor → — build, backtest, and deploy trading strategies without writing a line of code, with our AI-powered strategy editor.