stock-price-prediction

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

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

📈 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.

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 Trading Bot using Deep Q-Learning

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

Programs for stock prediction and evaluation

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

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

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

Plain Stock Close-Price Prediction via Graves LSTM RNNs

Fully Automated IG Trading

This tool should help discover different patterns based on similarity measures in historical (financial) data

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 C++ stock market algorithmic trading bot

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.

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

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

Python3 project applying Gaussian process regression for forecasting stock trends

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

Simple to use interfaces for basic technical analysis of stocks.

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

Automatic trading bot (WIP)

Courses, Articles and many more which can help beginners or professionals.