Reinforcement learning agent trained to discover profitable strategies — starting with your first $100.
RL-native — discovers strategies from first principles through thousands of simulated trades. No copied templates, no backtested indicators. Pure learned intuition.
Visible reward signals and explainable logic, not a black box. Watch the agent train, see every version's scores, and understand why it trades the way it does.
Starts small ($100), scales with you. No hedge fund required. Designed for independent traders who want AI working for them, not against them.
All plans include: historical data access, encrypted connections, and full transparency of bot decisions.
We're in active training and validation. Access opens by invitation only — when the bot proves itself, we'll expand carefully.
| v1.0 — Where we started | v2.0 — Where we are now | |
|---|---|---|
| Trades per test window | 0 – 1 | 1 – 4 ✓ |
| Best training score | −0.21 | −0.02 ✓ |
| Tests passed | 4 / 10 · 40% | 3 / 4 · 75% ✓ |
| Avg return (passing windows) | mixed / unreliable | +5.06% avg ✓ |
| Worst window loss | −13.0% | −3.29% ✓ |
| Avoids falling markets | No ✗ | Yes — 200-day filter ✓ |
| Bot behaviour | Refused to trade at all | Actively managing positions |