tradezero-api VS deep-RL-trading

Compare tradezero-api vs deep-RL-trading and see what are their differences.

tradezero-api

A package for executing orders and retrieving data through the TradeZero web platform (by shner-elmo)
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tradezero-api deep-RL-trading
2 14
27 342
- -
5.2 0.0
9 months ago almost 3 years ago
Python Python
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.

tradezero-api

Posts with mentions or reviews of tradezero-api. We have used some of these posts to build our list of alternatives and similar projects.

deep-RL-trading

Posts with mentions or reviews of deep-RL-trading. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing tradezero-api and deep-RL-trading you can also consider the following projects:

tstock - 📈A command line tool to view stock charts in the terminal.

muzero-general - MuZero

alpaca-trade-api-python - Python client for Alpaca's trade API

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.

tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

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.

pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

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.

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