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

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

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.

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

Stock Trading Bot using Deep Q-Learning

Portfolio optimization with deep learning.

Use NLP to predict stock price movement associated with news

Introducing neural networks to predict stock prices

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.

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

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

Programs for stock prediction and evaluation

Simple to use interfaces for basic technical analysis of stocks.

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

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

Examples of python neural net and ML stock prediction methods with sample stock data.