tensortrade VS FinRL

Compare tensortrade vs FinRL and see what are their differences.

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents. (by tensortrade-org)
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tensortrade FinRL
44 44
4,376 9,093
1.3% 3.3%
0.0 8.8
3 months ago 4 days ago
Python Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tensortrade

Posts with mentions or reviews of tensortrade. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-05.

FinRL

Posts with mentions or reviews of FinRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

What are some alternatives?

When comparing tensortrade and FinRL you can also consider the following projects:

FinRL - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

FinRL-Meta - FinRL­-Meta: Dynamic datasets and market environments for FinRL.

gym - A toolkit for developing and comparing reinforcement learning algorithms.

Deep-Hedging

ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 - Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star. [Moved to: https://github.com/AI4Finance-Foundation/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020]

open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

FinRL - FinRL: Financial Reinforcement Learning. 🔥