resistance
FinRL
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resistance | FinRL | |
---|---|---|
1 | 44 | |
607 | 8,989 | |
- | 2.2% | |
2.1 | 8.6 | |
8 months ago | 7 days ago | |
Jupyter Notebook | Jupyter Notebook | |
Creative Commons Zero v1.0 Universal | MIT License |
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resistance
FinRL
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Batendo BOVA11 - Approach usando Reinforcement Learning
FinRL ---> https://github.com/AI4Finance-Foundation/FinRL
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Need help to get started
There is a roadmap here with tutorials from AI4fince. It helped me get started. https://github.com/AI4Finance-Foundation/FinRL/tree/master/examples
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[D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often?
Definitely! An example could be the use of https://github.com/AI4Finance-Foundation/FinRL in quant-firms and fintech.
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Reinforcement learning for algorithmic trading?
I recently came across this GitHub repo on using reinforcement learning (RL) for algorithmic trading - https://github.com/AI4Finance-Foundation/FinRL. Would using RL be a realistic and profitable algotrading strategy ?
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Is anyone interested in joining a DeepRL-based algotrading project?
there is quite popular DRL project in finance: https://github.com/AI4Finance-Foundation/FinRL
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Does anyone have experience with Reinforcement Learning (RL)?
You can have a look at this repo,may help you to start your journey: https://github.com/AI4Finance-Foundation/FinRL
- Anyone worked with FinRL?
- reinforcement learning in finance and trading
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Feedback Collection for FinRL: Financial Reinforcement Learning
As a creator of the open-source FinRL project, I would like to welcome all kinds of feedback regarding financial reinforcement learning, especially about how to improve the open-source project FinRL.
- What should I change in my hyperparameter to improve this model? Should I lower or increase the learning rate?
What are some alternatives?
pyfolio - Portfolio and risk analytics in Python
tensortrade - An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
FinRL-Library - 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)
gs-quant - Python toolkit for quantitative finance
FinRL-Meta - FinRLÂ-Meta: Dynamic datasets and market environments for FinRL.
FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Open-Risk-Manual-PdfBooks - Collection of PdfBooks extracted from the Open Risk Manual
Deep-Hedging
oisru - Repository for the Open Information Security Risk Universe
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]