Every plan connects your AI agent and includes the full Feature Lab. Upgrade when you need more data, stronger evidence against overfitting, and reinforcement learning.
No credit card for Free · Cancel paid plans anytime · Your data stays local
Free
Discover a signal
Get the first evidence
Starter
Research deeper
Expand data and history
Pro
Prove & train
Attack overfit and learn
01 · Discover
Discover promising signals on your own data before paying
02 · Research deeper
Expand promising research across 10× more market data
03 · Prove & train
Prove robustness, optimize at scale, and train trading models
Common to every plan: local MCP agent connection · full three-stage Feature Lab · event-driven backtesting · private on-device research
Bring RSI, order-flow data, calendar fields, or indicators with any name. RLXBT ranks what carries signal, checks whether a feature adds nonlinear value out of sample, and then demands evidence from a strategy that can actually trade it.
Neural evidence is treated as a lead, not proof. Promotion requires stable folds and executable strategy evidence.
Quality, information coefficient, stability, and response profiles expose weak or leaky inputs early.
A challenger neural model must beat the price-only baseline across expanding out-of-sample folds and seeds.
Generated strategy probes check whether the discovered pattern survives rules, costs, and real execution logic.
Compare by outcome
The agent and Feature Lab stay. Your research depth and standard of proof increase.
| Research capability | DiscoverFree | ResearchStarter | Prove & trainPro |
|---|---|---|---|
| MCP agent + full Feature Lab | Included | Included | Included |
| Bars per backtest | 10K | 100K | Unlimited |
| Saved visual research workspace | — | Included | Included |
| Walk-Forward + Monte Carlo | — | — | Included |
| Sensitivity + portfolio + intrabar | — | — | Included |
| DQN reinforcement learning | — | — | Included |
| Active devices | 1 | 1 | 3 |