stock-prediction

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

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

Using python and scikit-learn to make stock predictions

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

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.

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

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

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

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

A C++ stock market algorithmic trading bot

An intelligent recommender system for stock analyzing, predicting and trading

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

Simple to use interfaces for basic technical analysis of stocks.

Implementation of seq2seq with attention in keras

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

Alpaca algo stock trading bot

Simple stock & cryptocurrency price forecasting console application, using PHP Machine Learning library (https://github.com/php-ai/php-ml)

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 😊

tipranks.com API to access price targets, news sentiments and trending stocks.

量化投资

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 that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.

LSTM RNN for sentiment-based stock prediction

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

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^_ ^

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

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

😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉

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