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

Using python and scikit-learn to make stock predictions

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

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

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

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

Stock analysis/prediction model using machine learning

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

An intelligent recommender system for stock analyzing, predicting and trading

Stock for Deep Learning and Machine Learning

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

Implementation of seq2seq with attention in keras

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊

A C++ stock market algorithmic trading bot

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

LSTM RNN for sentiment-based stock prediction

著名的投资大师巴菲特说"我始终知道我会富有"，一开始我也想成为像巴同学那样的价值投资者，后来我发现价值投资在中国A股里面是走不通的，趋势投资才是王道。刚学投资的小白，想站在前人的基础上，开发基金股票买卖信号体系，在不浪费太多精力的同时获取超额收益，我知道我也终将富有^_ ^

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

Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.

Simple to use interfaces for basic technical analysis of stocks.

Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.

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

Deep Recurrent Neural Networks (RNNs) for Time-Series Prediction

stock predict by cnn and lstm

Crawling, Parsing, Mongo Insertion of financial data for value investing

Predict stock market pricing over 180 minutes using Black-Scholes stocastic modelling and parallel Monte-Carlo simulations.

量化投资

💲entiment Analysis of Tweets & predicting Stock 💹 prices based on user sentiments about # Amazon

make stock prediction model using Tensorflow, Python and web crawling

Stock prediction using xgboost and knn classification done in R