GitHub topics: sp500-data-analysis

Repositories

riazarbi/sp500-scraper

Constituent history of the S&P 500 from various data sources

Language: R - Size: 82.6 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 16 - Forks: 7

gbourniq/portfolio-analytics-platform

Financial platform combining an interactive dashboard and REST API for investment portfolio analysis, providing real-time performance tracking across multiple stock exchanges.

Language: Python - Size: 12.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

TheSnowGuru/Nostradamus-App Fork of alonzorworks/streamlit_ask_data_app

The app to know next day's yield prediction

Language: Python - Size: 196 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 2

kostadinlambov/Bitcoin-and-Stock-Market-Correlation

This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.

Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Paul-HenryP/simulate-investment-strategies

This Java program simulates different investment strategies using historical stock market data. It allows users to test various strategies such as buy and hold, moving average, buying when the stock price is lower than the last purchase, and dollar-cost averaging.

Language: Java - Size: 51.8 KB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

sidmohan0/quant-train

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.

Language: Python - Size: 452 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2

Analitico-771/machine_learning_index_prediction

This application compares the performance of Unsupervised machine learning models and Supervised models. It downloads 3 yrs of market daily close data from all SP500 companies and divides them into Sectors to be used as features for learning and training the data, in order to predict wether the index will be a Buy or Sell the next day. The results are evaluated to determine each model's performance and the metrics are presented along with the analysis.

Language: Jupyter Notebook - Size: 48.3 MB - Last synced at: 13 days ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

Yosri-Ben-Halima/SP500-Investment-Data-Visuals-App

In this project, dive into an interactive app that brings stock data to life! Explore dynamic candlestick charts, track returns, and analyze rolling alpha and beta with ease. Compare your chosen stock to the S&P 500 Index and uncover trends with eye-catching visualizations. Perfect for data enthusiasts and investors alike!

Language: Python - Size: 109 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

jeus0522/5-Eda-sp500-Stock-ML-Apps

About A project featuring exploratory data analysis (EDA) and machine learning applications for S&P 500 stock data, utilizing Python and relevant libraries.

Language: Python - Size: 9.77 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

VanHes1ng/Stock-Market-Volatility

This system is designed to provide valuable insights into future market movements, enabling users to make informed decisions regarding their investments without directly executing trades. It leverages the VIX (CBOE Volatility Index) as a key indicator for predicting trends, in the SPY (S&P 500 ETF) market.

Language: Python - Size: 1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Md-Emon-Hasan/5-Eda-sp500-Stock-ML-Apps

A project featuring exploratory data analysis (EDA) and machine learning applications for S&P 500 stock data, utilizing Python and relevant libraries.

Language: Python - Size: 16.6 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

arogan178/lstm-stock-prediction-sp500

Using LSTM to predict stock price movement for S&P500

Language: Jupyter Notebook - Size: 967 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1

naimmoltrasio/SP500-Stock-Market-Analysis

Exploratory Data Analysis of the Top 6 market-valued companies in the S&P 500 over the last 365 days to identify trends and patterns.

Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

NikolaySimakov/Fama-French-models

Fama French models on S&P 500 dataset

Language: Jupyter Notebook - Size: 7.09 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

ericanderson333/SP500_Calendar

SP500 stock screener correlating to percent change during time periods.

Language: Python - Size: 48.8 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

calvindotsg/financial-modelling

Determine the preferred portfolio composition from constituents within the S&P 500 index.

Language: Jupyter Notebook - Size: 2.96 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

nisa-g/CAPM-Web-Application-Financial-Analysis

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.

Language: Python - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0