# notadamking/RLTrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

Repository: https://github.com/notadamking/RLTrader
Canonical: https://ross.abutalabs.com/products/rltrader
Homepage: https://discord.gg/ZZ7BGWh
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2022-01-22T05:01:41+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2685, "days_push": 1684, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1867, forks 544 (observed 2026-08-28T04:05:46.329042+00:00)

## What it is
RLTrader is a Python library providing a cryptocurrency trading environment built on OpenAI's gym, using deep reinforcement learning to train trading agents. It includes a CLI for optimization and static data updates, and is the predecessor to the TensorTrade framework.

## Use cases
- train a reinforcement learning agent to trade bitcoin
- simulate a crypto trading environment with gym
- backtest trading strategies with deep RL
- optimize trading bot hyperparameters with Bayesian optimization
- experiment with feature engineering for trading signals
- build a bitcoin trading bot that learns from historical data

## When to choose
- you want to experiment with deep RL for crypto trading in Python
- you need a gym-compatible trading environment for research
- you want to study the techniques behind a published RL trading bot

## When to avoid
- you need a maintained or production-ready trading framework (use TensorTrade instead)
- you want live trading with exchange integrations out of the box
- you need support for recent Python versions or active community fixes

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, reinforcement-learning, trading, cli, data-science
- domain: fintech, machine-learning, reinforcement-learning
- platform: python
- tags: cryptocurrency-trading, openai-gym, trading-bot, bayesian-optimization, feature-engineering, tensortrade-predecessor, cryptocurrency, trading, docker, linux, gpu

## Member repositories
- notadamking/RLTrader (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:46.329042+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:15:30.817014+00:00, confidence not recorded.
  - readme: https://github.com/notadamking/RLTrader (fetched 2026-08-28T04:05:46.329042+00:00, sha 2e5f863bac9a)
  - homepage: https://discord.gg/ZZ7BGWh (fetched 2026-08-29T10:54:29.248090+00:00, sha d1accb9f34db)
- Data as of 2026-08-30T08:39:29.467469+00:00.