Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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Updated
Apr 16, 2023 - Jupyter Notebook
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
A Django app to predict realtime stock market prices for NSE India and NYSE using LSTM.
LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈
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.
Unofficial PyTorch implementation of FactorVAE
This repository contains the time series forecasting and analysis of stock market prices of different companies.
A C++17 technical indicator library for time series data
Stock close price forecasting using deep learning (TensorFlow)
Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.
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.
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
This repository contains stock datasets of Target (TGT), Amazon (AMZN), and Walmart (WMT). It also includes the source code of our Hybrid Deep Learning model (CNN-BiLSTM-GRU) with the implementation of Phase Space Reconstruction technique.
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