Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Using python and scikit-learn to make stock predictions

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Stock Price Prediction using Machine Learning Techniques

Use NLP to predict stock price movement associated with news

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

A stock trading bot that uses machine learning to make price predictions.

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining.

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Code for paper "Temporal Relational Ranking for Stock Prediction"

Data and code of my Medium story on stock prediction with TensorFlow

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

Stock price prediction with LSTMs in TensorFlow

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

Use deep learning, genetic programming and other methods to predict stock and market movements

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等

Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic feature selection, and deep learning models (LSTM+ResNet achieving IC=0.06476).

Stock Market Prediction Using Unsupervised Features

Programs for stock prediction and evaluation

Simple to use interfaces for basic technical analysis of stocks.

基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks