Predict stock trends using visual time windows
This project focuses on the design and implementation of a trading bot using OpenAI's GPT for sentiment analysis of financial news. The bot integrates sentiment analysis in trading strategies for S&P 500 stocks.
Daily-updated US stock ticker CSVs from NASDAQ, including S&P 500 constituents and industry-grouped lists.
Vix index is implemented in S&P500 historical data.
Quantitative research tool analyzing stock performance around US Thanksgiving. 354 stocks, 8,293 observations (2000-2024). Statistical significance testing included.
Applied Basic Machine Learning on List of S&P 500 Companies using Yahoo Finance
Various Crypto/US Stock Alerts
The app to know next day's yield prediction
The popular S&P 500 heatmap / treemap open-sourced
Python Repository to ingest, feature engineer, train, backtest, and run a random forest model to predict the direction of the S&P500 at the start of the next day's trading session.
Map showing the location of the headquarters of the top US companies over many years. (data scraping part)
Detecting market regimes using Hidden Markov Models on S&P 500 data
📈 Previsão do Índice S&P 500 Utilizando LSTM e Mecanismos de Atenção
SP500 stock screener correlating to percent change during time periods.
This project showcases a web application that is designed to perform CAPM calculations for different stocks. The application uses Python programming language and its libraries such as Pandas, NumPy, Streamlit and Plotly, to gather stock data from Yahoo Finance and perform calculations to determine expected returns.
📈🤖 LSTM-based multi-horizon stock forecasting with company embeddings and GUI. Predicts 10/20/30-day prices for S&P 500 stocks. Includes data loading, scaling, training, confidence intervals, Excel export, and interactive Tkinter interfac
Golden Cross strategy implementation in S&P500 and NIFTY50 historical data.
A project featuring exploratory data analysis (EDA) and machine learning applications for S&P 500 stock data, utilizing Python and relevant libraries.
R&D Alpha: Empirical evidence on the relation between R&D investment intensity and long-term stock returns
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