A tool to predict fluctuations in the market based on global twitter sentiment
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Updated
Dec 7, 2016 - Python
A tool to predict fluctuations in the market based on global twitter sentiment
Homework exercise of Scientific Software course, a stock price prediction using linear regression.
Stock price prediction using ensemble MLP in PyTorch.
Work on AV July 2017 Fractal Hiring Hackathon.
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
Application of SVM in financial time series forecasting
Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.
🎯 predict the price trend of individual stocks using deep learning and natural language processing
Use deep learning to predict future stock prices
Predicting a Stock Price Using a Genetic Algorithm
Model news data in short, medium and long term for stock price trend prediction
by using deep learining predicting the future price fo stock market
DEAD simple pattern recognition for stock analysis
Stock Price prediction for Yahoo Inc. using GRU (Gated Recurrant Units) in Keras. Predicting closing price for Yahoo stocks
use Recurrent Neural Networks for time series prediction and text generation
Predicting Upward and downward trends in the stock prices using Stacked LSTM.
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