Stock price forecasting stuff with BERT

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

In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Network is used as an example of potential solution for such problem.

Implementação de uma LSTM para prever fechamento de ações na B3. Scripts para análise e predição de valores.

Forecasting stock prices with Long Short Term Memory (LSTM) architecture

Easy to follow stock price analysis on Indian stock data

A personal end-to-end machine learning project that seeks to predict stock prices from economical indicators for a variety of USA-based companies.

Backtesting software for intraday and daily timeframe SARIMAX forecasting model. Capable of forecasting on any asset class with backtesting capability across various parameter sets customizable by the user.

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

Deep learning project for forecasting Google stock prices using LSTM. Includes EDA, SMA insights, LSTM tuning, and model performance comparison.

Implementation of Time Series

This repository contains code for implementing both Large Language Models (LLM) and Long Short-Term Memory (LSTM) models in AWS SageMaker Studio Lab. It includes notebooks for LLM-based applications and LSTM models for stock price prediction.

Stock Forecasting

Progetto di tesi: rete LSTM multivariata con sentiment analysis per la previsione dei titoli in borsa

this repository contains a comprehensive, end-to-end pipeline for forecasting stock prices using a blend of advanced statistical methods and deep learning models. The system is designed to download historical stock data, preprocess and engineer features, and then generate forecasts using multiple models before combining them with an ensemble.

Stocks Forecasting for MAANG | MLOps using ZenML | Streamlit UI

In this project, I develop a CNN-based tool for stock price modeling and forecasting. This repository covers data preprocessing, model building, and evaluation, including callbacks like Early Stopping and Learning Rate Reduction. Ideal for quantitative finance, the project emphasizes model evaluation and accurate stock price predictions.

Stock prediction model

A lightweight, Flask-based web app designed to streamline inventory tracking and forecasting. It helps small to medium businesses manage stock levels, log transactions, and predict future demand using simple linear regression.

Порождение подписей к изображениям. Классификация изображений. Прогнозирование временных рядов