Super simple stock trainer, with simple parameters
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Updated
Jan 23, 2020 - JavaScript
Super simple stock trainer, with simple parameters
Stock returns prediction using ML and DL techniques and portfolio optimization using the variance covariance matrix estimation.
Stock Prediction machine learning
Scikit learn regresion models for stock prediction
It's a simple model using Linear Regression Algorithm on S&P500 a stock market index.
Pesronal application deployment using Streamlit.
Based on pizza orders from 2016, determining the ingredients Pizza Maven should buy in order to become a more efficient restaurant in terms of stock management and saving the results of such suggestions to a xml file
This repo contains my first and second research that explore the use of news sentiment (sentiment analysis on news articles) in stock investment in Malaysia.
Stock return prediction using machine learning methods.
Machine Learning//NN: Sigmoid function
Usage of Machine Learning Algorithms to predict Stock Price Data on WIKI_GOOGL dataset.
Stock Market Prediction using Random Forest Algorithm in R
Based on pizza orders from 2016, determining the ingredients Pizza Maven should buy in order to become a more efficient restaurant in terms of stock management
Predict stock prices using neural networks trained on historical price data.
Model for the Stockex project.
Predict stock performance by matching it to a city's skyline
AmrevX Stock Predictor. In this project, we aim to make a stock predictor, only using python, which as the name suggests predicts the status of stocks.
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