deep-RL-trading
tradezero-api
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deep-RL-trading | tradezero-api | |
---|---|---|
14 | 2 | |
342 | 28 | |
- | - | |
0.0 | 5.2 | |
almost 3 years ago | 8 months ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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-RL-trading
- deep-RL-trading: trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning - star count:301.0
- deep-RL-trading: trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning - star count:272.0
tradezero-api
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What is the best broker for shorting?
I made an api a while back https://github.com/shner-elmo/TradeZero_API
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TradeZero API
Hey guys I made an API for TradeZero that uses Selenium to interact with the web app elements, if anybody is interested: https://github.com/shner-elmo/TradeZero_API
What are some alternatives?
muzero-general - MuZero
tstock - 📈A command line tool to view stock charts in the terminal.
TradingView-Machine-Learning-GUI - Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.
alpaca-trade-api-python - Python client for Alpaca's trade API
softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
deep-q-learning - Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
awesome-deep-trading - List of awesome resources for machine learning-based algorithmic trading