ai-agent

FinRL-Trading: AI-Powered Trading

Name: FinRL-Trading: AI-Powered Trading
Author: AI4Finance-Foundation

Get AI-driven trading insights with FinRL-Trading, a modular infrastructure for quantitative trading, ideal.

3,501 stars1,038 forksPythonGuide quality 8/10Updated 5/2/2026100% free · open source

What it does

FinRL-Trading is an AI-native modular infrastructure for quantitative trading that allows users to develop, test, and deploy trading strategies using deep reinforcement learning and other machine learning techniques.

When to use it

•You need to automate trading decisions based on complex market data analysis.
•You want to develop and test custom trading strategies using machine learning algorithms.
•You require a scalable and modular infrastructure for backtesting and deploying trading models.

Ready-to-paste prompt

python train.py --env DowJones --agent sac --net_dim 64 --batch_size 32 --episode_length 10

Heads up: Make sure you have the required dependencies installed, including `stable-baselines3` and `pandas`, and that your Python version is compatible with the FinRL-Trading library (Python 3.7 or later).

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/finrl-trading && curl -fsSL https://workflowstacks.com/api/skills/finrl-trading/claude-skill -o ~/.claude/skills/finrl-trading/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

214.1M

source size

Apache-2.0

license

Key files

README.md

requirements.txt

File tree

data/

docs/

examples/

figs/

src/

.dockerignore

.env.example

.gitattributes

.gitignore

deploy.sh

docker-compose.yml

Dockerfile

LICENSE

ML_STOCK_SELECTION.md

README.md

requirements.txt

setup.py

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/finrl-trading && curl -fsSL https://workflowstacks.com/api/skills/finrl-trading/claude-skill -o ~/.claude/skills/finrl-trading/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

AI4Finance-Foundation

Language

Python