TensorTrade

TensorTrade is a set of composable parts for reinforcement-learning trading experiments. Data feeds, actions, rewards, environments, and agents can be replaced independently, which gives researchers control over how an experiment is defined.

reinforcement learningstrategy researchsimulation environmentdevelopers
GitHub Stars6,607
Primary languagePython
LicenseApache-2.0
Official repositoryOpen GitHub ↗

Is it a fit?

The quick decision view, grounded in the ranking data and verification record.

Best for

Developers building custom reinforcement-learning environments, rewards, and execution simulations.

Not ideal for

People looking for LLM role collaboration, a ready-made report, or confirmed live execution.

Tested status

Not locally tested

Setup difficulty

Medium

Last verified

2026-08-02

What it can do

Research and testing

Strategy backtesting
Yes
LLM or agent based
No

Trading

Paper trading
Not confirmed
Automated trading
Not confirmed

Getting started

API key required to start
No
Registration required to start
No
Self-hostable
Yes

Capabilities shown as Yes or No come from the official project source. Unconfirmed fields remain “Not confirmed”.

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