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

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Using python and scikit-learn to make stock predictions

Simple to use interfaces for basic technical analysis of stocks.

A LSTM model using Risk Estimation loss function for stock trades in market

Code for stock movement prediction from tweets and historical stock prices.

Stock analysis/prediction model using machine learning

Alpaca algo stock trading bot

An intelligent recommender system for stock analyzing, predicting and trading

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

Implementation of seq2seq with attention in keras

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

深度学习与股票分析预测

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Performed time series analysis using ARIMA model in python on online retail dataset.

stock predict by cnn and lstm

💰 股票预测 / 量化交易比赛

Predictive Model for Future Stock Price Movement using TensorFlow and Keras

Capital Asset Pricing Model implementation in python to analyze stock risk and return.