oriakiva Goto Github PK

adv-alstm

Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019

capmarket

ccmlwi

Predicting the stock market with sentiment analysis and LSTM techniques

machinelearningstocks

Using python and scikit-learn to make stock predictions

neural-network-architecture-diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

psaw

Python Pushshift.io API Wrapper (for comment/submission search)

sentiment-analysis-seekingalpha

stock-market-prediction-using-natural-language-processing

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.

stock-prediction-models

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

stock-price-prediction-model

Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.

stock-rnn

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

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.

stocknet_implementation

stocksentimenttrading

Algorithmic Trading using Sentiment Analysis on News Articles

two-sigma-using-news-to-predict-stock-movements

Repository for the Kaggle competition: Two Sigma: Using News to Predict Stock Movements (https://www.kaggle.com/c/two-sigma-financial-news/data)