Papajams/conviction-gym

Conviction Gym An RL environment for conviction-based crypto trading plus a Beam agent-trace dataset — built for the Build with Beam challenge. Unlike a backtest where the strategy is baked into the loop, this environment owns only the physics (mark-to-market, 1% slippage, gas, bankroll constraints). Every decision — enter / exit / partial / hold — is an agent action. It works for classic RL policies (structured Dict observation, MultiDiscrete([K,4,3]) action space) and LLM… See the full description on the dataset page: https://huggingface.co/datasets/Papajams/conviction-gym.

<iframe src="https://silytics.si/embed/item/1f835284-0e07-459c-929a-50349ec0dd15" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 22 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.