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Maxime Grenu edited this page Feb 18, 2026
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⚠️ NOT FOR LIVE TRADING — ELVIS is an experimental research system. All strategies run in paper trading mode only. Never deploy with real funds without fully understanding the risks. Algorithmic trading can result in total loss of capital.
ELVIS is a modular, ML-driven algorithmic trading system for cryptocurrency markets. It integrates multiple machine learning architectures and supports real-time data processing, risk management, backtesting, and paper trading simulation.
Repository: cluster2600/ELVIS
| Sprint | Focus | Status |
|---|---|---|
| Sprint 1 | Core ML models, paper trading harness, security hardening | ✅ Done |
| Sprint 2 | Reinforcement learning (PPO/DQN), live data feeds | 🔄 In Progress |
| Sprint 3 | Multi-exchange support, portfolio-level risk | 📋 Planned |
| Sprint 4 | Strategy optimization, walk-forward validation | 📋 Planned |
| Sprint 5 | Production-grade monitoring, kill-switch hardening | 📋 Planned |
| Metric | Value |
|---|---|
| Sharpe Ratio | 0.69 |
| Max Drawdown | 0.009% |
| Win Rate | 70% |
| Mode | Paper trading only |
- Setup — Installation and configuration
- Architecture — System design and component diagram
- Paper Trading — Results and how to run
- Security — Vault, secrets, and kill-switch
- Roadmap — Sprint 1–5 plan