aapl

This repository focuses on predicting Apple Inc.'s stock prices using time series analysis from 2013 to 2018. The project involves data exploration, stationarity analysis, time series decomposition, model development, and generating insights to assist investors.

AI-Driven Stock Trading Signals - Live $100k Alpaca Portfolio

I am currently analyzing a portfolio of GOOGL, AMZN, AAPL, and MSFT, evaluating daily returns, volatility, and the Sharpe ratio. Additionally, I’m using a Monte Carlo simulation to project the portfolio's performance over the next 30 years, offering insights into its long-term potential.

macOS MCP server that reads your pre-installed Apple Stocks app — watchlist, quotes, fundamentals, intraday charts and portfolio analytics. First-class AAPL support. No external API.

Apple DCF valuation and scenario analysis dashboard using FRED macro data, Yahoo Finance fundamentals, Plotly charts, and Streamlit.

This project implements a LSTM (Long Short-Term Memory) model to predict stock prices of AAPL (Apple Inc.) and AMD (Advanced Micro Devices) using historical data. The dataset includes stock prices with features like Open, High, Low, Close, Adjusted Close, and Volume. The model is trained using LSTM to learn the temporal dependencies in the data.

Machine learning workflow for Apple stock data using linear regression for price prediction and logistic regression for directional movement classification.

This project implements and evaluates a Mean Reversion trading strategy using historical financial market data and technical indicators. The strategy is tested on three assets: Apple (AAPL), Ethereum (ETH-USD), and Coca-Cola (KO), using historical data retrieved from Yahoo Finance through the yfinance library.

Repositorio donde se implementa una red neuronal LTSM para predecir el valor de cierre de varios activos financieros

Python and SQLite pipeline that retrieves AAPL market data, calculates price and volatility metrics, generates rule-based signals, and runs analytical SQL queries.

Nasdaq ML & Analysis

A RNN model for daily AAPL Stock closing prices, with predictions.

Apple stock forecasting

Predicting short-horizon limit-order fill probabilities using order-book, queue, and recent market-flow features.

Calculate Apple stock (AAPL) investment returns vs retail iPhone purchases across 49 models (2007-2026).