Ann-eat-apple's repositories
financial-news-dataset
109,110 news from Reuters.
Adv-ALSTM
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
AI-Residency-List
List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
financial-news-data
Construct a structured DataFrame from the Reuters news corpus
han
TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018
MTDNN
Multi-scale Two-way Deep Neural Network
pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
stock-prediction
Stock prediction with Natural Language Processing
stocknet-code
Code for stock movement prediction from tweets and historical stock prices.
stocknet-dataset
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tdml
A lightweight and easy-to-use Python package that transforming dataframes into machine learning friendly data format.