Stock-Prediction-Models VS Reinforcement-Learning

Compare Stock-Prediction-Models vs Reinforcement-Learning and see what are their differences.

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations (by huseinzol05)
Lstm lstm-sequence evolution-strategies stock-prediction-models Seq2seq trading-bot stock-market stock-price-prediction stock-price-forecasting deep-learning-stock Deep Learning monte-carlo strategy-agent learning-agents monte-carlo-markov-chain

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Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning (by andri27-ts)
reinforcement-learning Machine Learning Artificial intelligence deep-reinforcement-learning Deep Learning policy-gradients evolution-strategies A2c deepmind Dqn qlearning Ppo
Source Code
andri27-ts.github.io
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Stock-Prediction-Models Reinforcement-Learning
215 1
6,620 4,091
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0.0 0.0
almost 1 year ago almost 4 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Stock-Prediction-Models

Posts with mentions or reviews of Stock-Prediction-Models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.

Reinforcement-Learning

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

We haven't tracked posts mentioning Reinforcement-Learning yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Stock-Prediction-Models and Reinforcement-Learning you can also consider the following projects:

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

SectorTradingAlgorithm

CryptoGPU - Cryptocurrency prices analysis

ubique - A mathematical and quantitative library for Javascript and Node.js

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

SectorTradingAlgorithm

snakeAI - testing MLP, DQN, PPO, SAC, policy-gradient by snake

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

TextWorld - ​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Stock-Prediction-Models vs Behavior-Sequence-Transformer-Pytorch Stock-Prediction-Models vs Alpaca-API Reinforcement-Learning vs pytorch-a2c-ppo-acktr-gail Reinforcement-Learning vs FinRL-Library Stock-Prediction-Models vs SectorTradingAlgorithm Stock-Prediction-Models vs CryptoGPU Stock-Prediction-Models vs ubique Reinforcement-Learning vs DeepRL-TensorFlow2 Stock-Prediction-Models vs SectorTradingAlgorithm Reinforcement-Learning vs snakeAI Reinforcement-Learning vs TradingGym Reinforcement-Learning vs TextWorld