mandyherochen
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FinRL: Financial Reinforcement Learning. 🔥
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
List of papers, code and experiments using deep learning for time series forecasting
For trading. Please star.
Stock Price Prediction using Machine Learning Techniques
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…
Learning to trade under the reinforcement learning framework
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
A tensorflow implementation of an HMM layer
experiments with pair trading
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method th…
Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格，注释拉满。
Following repo is the solution to Stock Market Prediction using Neural Networks and Sentiment Analysis
Multivariate data modelling with Copulas in Python
An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk
Stock Price Prediction using CNN-LSTM
A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WI…
LSTM RNN for sentiment-based stock prediction
The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).
The implementation of LSTM in TensorFlow used for the stock prediction.
基于KNN聚类算法结合Dynamic Time Warping（动态时间调整）的时间序列分类
Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.