Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg
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Updated
Apr 22, 2017 - MATLAB
Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg
A C++17 technical indicator library for time series data
Stock close price forecasting using deep learning (TensorFlow)
Stock Price Forecasting of Dow Jones 30 companies (DJIA) - (2000-01-01 to 2020-25-05)
Often we have to deal with large dataset, handling them with traditional method is quite tedious and time consuming. There's come the distributed method like apache spark. This repo consist distributed analysis of stock price which is quite large dataset.
The code produces Stock price model in a discrete time line and Running sum-of-square returns
A repository for my stock price predictor project.
A Django app to predict realtime stock market prices for NSE India and NYSE using LSTM.
This repository contains the time series forecasting and analysis of stock market prices of different companies.
Works done at International School of Engineering
This project facilitates trying different buy and sell strategies for stock and crypto currencies. There are also scripts that provide different types of security analysis. Both technical analysis and fundamental analysis are considered.
Successfully established a deep learning model which can forecast the closing stock prices of Apple based on its historical stock data from 2001 to 2017.
Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.
The code starts by importing the necessary libraries to perform data analysis, such as pandas for data manipulation, matplotlib and seaborn for data visualization, and yfinance for collecting financial data.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Unofficial PyTorch implementation of FactorVAE
Project to forecast stock prices using the Long-Short Term Memory (LSTM) algorithm
Predict stock prices using neural networks trained on historical price data.
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