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.

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

Use unsupervised and supervised learning to predict stocks

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

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

Stock Trading Bot using Deep Q-Learning

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Use NLP to predict stock price movement associated with news

Introducing neural networks to predict stock prices

Programs for stock prediction and evaluation

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: ARIM…

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

Portfolio optimization with deep learning.

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

Simple to use interfaces for basic technical analysis of stocks.

多因子指数增强策略/多因子全流程实现

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

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