FinRL
gym-anytrading
| FinRL | gym-anytrading | |
|---|---|---|
| 44 | 2 | |
| 9,093 | 2,018 | |
| 1.7% | - | |
| 8.8 | 4.2 | |
| 8 days ago | about 2 months ago | |
| Jupyter Notebook | Python | |
| MIT License | MIT License |
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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?
gym-anytrading
What are some alternatives?
tensortrade - An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
FinRL-Meta - FinRLÂ-Meta: Dynamic datasets and market environments for FinRL.
Trading212API - An unofficial API for Trading212
FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
Wizardry - 💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架
Deep-Hedging
forx - 💰a command line tool for checking exchange rates between currencies, both crypto and fiat.
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]
gym-mtsim - A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
FinRL - FinRL: Financial Reinforcement Learning. 🔥
Agar.io_Q-Learning_AI - An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available actions