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

Stock Price Prediction using Machine Learning Techniques

Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg

LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈

A Django app to predict realtime stock market prices for NSE India and NYSE using LSTM.

A C++17 technical indicator library for time series data

Unofficial PyTorch implementation of FactorVAE

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.

Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

Stock close price forecasting using deep learning (TensorFlow)

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.

This study introduces the innovative Neural Ordinary Differential Equations (NODE) model tailored for stock price forecasting, utilizing continuous data interpretation for handling irregular time series efficiently. Empirical evidence showcases NODE's superiority, achieving over 76% reduction in MAE and RMSE metrics compared to baseline models, dem

This repository contains the time series forecasting and analysis of stock market prices of different companies.

Project to forecast stock prices using the Long-Short Term Memory (LSTM) algorithm

A repository for my stock price predictor project.

Works done at International School of Engineering

The code produces Stock price model in a discrete time line and Running sum-of-square returns