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trading-gym-rl-env

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Gym-style RL trading env for fast backtesting

Data & Analytics#backtesting#trading#gym#reinforcement-learning#rl#tick-data#ohlc
Authormahmoud20138
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Provides an OpenAI Gym-style reinforcement learning trading environment to train and evaluate agents on tick-level and OHLC data, enabling rapid experimentation and benchmarking.

Core Features & Use Cases

  • OpenAI Gym-inspired RL trading toolkit for tick-level data and OHLC streams.
  • Supports training, backtesting, and planned live trading via IB API with a deterministic 3-action space (hold/buy/sell) and configurable observation window.
  • Use cases include rapid policy evaluation, comparative agent benchmarking, and research-grade reproducible experiments in quantitative trading.

Quick Start

Install the TradingGym RL environment and initialize it with your market data to begin training an agent.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: trading-gym-rl-env
Download link: https://github.com/mahmoud20138/Tradecraft/archive/main.zip#trading-gym-rl-env

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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