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

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

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

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.

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.

Professional Backtesting Engine for crypto, stocks and forex

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.

Bu repo, Borsa Istanbul hisse senetlerinin fiyatlarını tahminlemek için kullanılan bir makine öğrenmesi modelini içerir.

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

This is a project on Data Analysis of Stock Exchanges of 4 companies Microsoft , Google , Amazon and IBM

Project developed for AI Launch Lab's R&D program

This project showcases a comprehensive method for predicting stock prices using an LSTM neural network. It includes fetching historical stock data, preprocessing it, building and training the LSTM model, making predictions, and visualizing outcomes. The main goal is to precisely forecast stock prices utilizing historical data.