Stock Trend Prediction with LSTM is a powerful tool designed to empower users with insights into the dynamic world of stock market trends. Leveraging cutting-edge technologies such as Long Short-Term Memory (LSTM) networks and real-time data from Yahoo Finance, this project enables users to forecast future price movements of stocks with precision.

Computing Science Studio 1: Applications of Machine Learning for Stock Price Prediction

Professional Backtesting Engine for crypto, stocks and forex

This project combines machine learning and natural language processing to predict stock prices. By integrating historical market data with sentiment analysis of news headlines, the model aims to provide accurate and insightful predictions.

TrendSage, the stock prediction reddit tool, aims to develop a correlation between stock predictions based on the posts or comments on Reddit and the actual stock trends.

Stock predictions via ML - live long and prosper

Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]

API and training files for StockSense android application

Predictor for stock and ETF prices

A Streamlit app that predicts stock prices using historical data and displays relevant financial news and metrics. It leverages the Yahoo Finance API for historical stock data, Prophet for forecasting, Finnhub for financial metrics, and NewsAPI for news articles

The Stock Price Prediction App is a Streamlit-based web application that provides users with tools to analyze historical stock price data, visualize technical indicators, and make short-term price predictions using different machine learning models.

Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.

Ondokuz Mayıs Üniversitesi Bilgisayar Mühendisliği Bitirme Projesi

Predicts the closing prices of stocks on the Istanbul Stock Exchange. Identify correlated and inversely correlated stocks

This repository contains implementations of regression models on the Starbucks stock market. The goal is to provide a comprehensive understanding of the performance of these models. Also, implement metrics without relying on external machine learning libraries. ☕️📈

Using very simple code to compute indicator of stock\crytocurrency. For example, MA(C, 5) means average closed-price for last 5 days.

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

A Discord bot that utilizes machine learning (linear regression) to predict and evaluate stock closing prices using historical data from Yahoo Finance.

This project implements a stock price prediction model using various technical indicators and an ensemble of machine learning algorithms. The model predicts the direction of price movements and provides price predictions with uncertainty bounds for the next 8 hours.