Predict stock trends using visual time windows
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Updated
Oct 29, 2018 - Python
Predict stock trends using visual time windows
Applied Basic Machine Learning on List of S&P 500 Companies using Yahoo Finance
Vix index is implemented in S&P500 historical data.
Various Crypto/US Stock Alerts
The app to know next day's yield prediction
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.
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.
📈 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.
A project featuring exploratory data analysis (EDA) and machine learning applications for S&P 500 stock data, utilizing Python and relevant libraries.
Golden Cross strategy implementation in S&P500 and NIFTY50 historical data.
About A project featuring exploratory data analysis (EDA) and machine learning applications for S&P 500 stock data, utilizing Python and relevant libraries.
OOP stock analyser and filter with AI modelling, daily indicators, news aggregator with sentiment analysis,multithreaded IO and streamlit frontend
This project does 3 k-means clustering analysis on SP500 companies. Custom KMeans class. Concurreny for multithreaded io/requests.
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