stock-forecasting

Stock price forecasting stuff with BERT

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.

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

An advanced stock analysis and forecasting platform. QuantX provides real-time financial metrics, key technical indicators (SMA, EMA, MACD, RSI), and sentiment-analyzed market news. It features a prediction engine that runs and contrasts 8 models, ranging from classical time-series to machine learning.

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

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.

Easy to follow stock price analysis on Indian stock data

Enterprise-Scale Multi-Warehouse Inventory Management System Featuring QR Code Scanner, Data Visualization, Stock Forecasting, And Audit Trail Built With Laravel 13 And Shadcn Admin UI.

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

Google's New TimesFM 2.5 time-series forecasting engine with automated financial market reports via Ollama, Gemma, and interactive Streamlit UI.

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.

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.

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

AI-driven multi-agent pharmacy system for autonomous medication ordering, real-time safety validation, stock forecasting, and procurement.

Implementation of Time Series

A time series forecasting project using ARIMA, Prophet, and Stacked BiLSTM models to predict Apple stock prices. Includes technical indicators, Fourier transforms, and residual modeling for improved accuracy.

LSTM forecasting of PT Sido Muncul stock prices using 2015–2017 trading data

Datasets for the OAMLS paper: Objective-Aware Meta-Learning System for Financial Time Series Forecasting.

SPY next-day forecast (Logistic/SVR/LSTM) + long-only manual backtesting in Python