Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.

The stock price forecasting results for 5 leading technology companies: Meta (META), Tesla (TSLA), NVIDIA (NVDA), Microsoft (MSFT), and Apple (AAPL). This analysis uses three popular prediction models: LSTM (Long Short-Term Memory), ARIMA (AutoRegressive Integrated Moving Average), and FBProphet.

Feature Engineering and Sentiment Driven Financial Forecasting and Modeling of Tesla's stock (TSLA) over 10 years.

Implementation of Time Series

Synthetic TSLA on-ramp contract 🏭

Interactive TradingView-style platform for TSLA stock analysis powered by smart visualizations and LLM insights.

Nasdaq ML & Analysis

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

TSLA Exchange user interface 🚘

This repository extracts profit data for Tesla and GameStop, then builds a dashboard to compare their stock prices with hedge fund profits.

LSTM-based model for predicting Tesla (TSLA) stock prices using historical data, technical indicators, and PCA, with future price forecasting.

This project analyzes Tesla’s historical trading data (Jan 2021 – Jan 2026) to uncover market trends, short-term spikes, volatility, and medium-term momentum. The goal is to provide data-driven, executive-focused insights into performance, risk, and trading patterns.