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] (by AI4Finance-LLC)
FinRL
FinRL: Financial Reinforcement Learning. 🔥 (by AI4Finance-Foundation)
| Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 | FinRL | |
|---|---|---|
| 125 | 44 | |
| 821 | 9,093 | |
| - | 1.7% | |
| 4.3 | 8.8 | |
| over 2 years ago | 7 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | 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.
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.
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Posts with mentions or reviews of Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020.
We have used some of these posts to build our list of alternatives
and similar projects.
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.
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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?
When comparing Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 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]
tensortrade - An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.