gym-fx
Unverified ML strategy on Crypto by harveybc. BotFinder score 18 out of 100.
Gymnasium trading environment for FX and crypto: backtrader execution bridge, protected SL/TP orders, solvency curricula and audit-grade trade diagnostics
Source: github
BotFinder analysis pending.
gym-fx
gym-fx Gymnasium-compatible trading environment for FX and crypto time series. It wraps a backtrader simulation behind a standard gym.Env step/reset interface so reinforcement-learning agents can trade a historical price feed with realistic order execution, protected stop-loss / take-profit brackets, margin and solvency accounting, execution-cost models and session/event context. Every moving part — data feed, broker, strategy (order execution), preprocessor, reward and metrics — is a plugin selected by name from a JSON config. Status Publication scope (2026-09-14): the additional execution-accounting and trade-reconciliation work is preserved in this research snapshot, not bulk-merged into the default branch. Reproducing a reported experiment requires its pinned environment version, data contract and cost configuration. Do not compare results from different fill or commission models as if they were the same experiment. The research repository map separates this simulator from data preparation, RL training and real execution. Simulation fidelity and causal inputs need independent tes
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)