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

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Use unsupervised and supervised learning to predict stocks

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Strategies to Gekko trading bot with backtests results and some useful tools.

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

Use NLP to predict stock price movement associated with news

Introducing neural networks to predict stock prices

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Stock for Deep Learning and Machine Learning

Stock Trading Bot using Deep Q-Learning

Programs for stock prediction and evaluation

Plain Stock Close-Price Prediction via Graves LSTM RNNs

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

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 😊

Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Fully Automated IG Trading

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Making predictions on prices in the Deutsche Börse Public Dataset using neural networks

Python3 project applying Gaussian process regression for forecasting stock trends

A curated list of repositories for my book Machine Learning Solutions.

Automatic trading bot (WIP)

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

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

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

A C++ stock market algorithmic trading bot

🎯 predict the price trend of individual stocks using deep learning and natural language processing