sp500
There are 1 repository under sp500 topic.
hklchung / StockPricePredictor
An S&P500 Stock Index Movement Predictor built with Machine Learning models
Language:Jupyter Notebook 32- Language:R 20
- Language:Java 19
LeonardoEmili / stock-price-forecasting
Distributed stock price forecasting system to predict S&P 500 stock prices.
Language:Jupyter Notebook 12snsten / SP500_Time-Series_Forecasting
S&P500 Stock Index Movement Forecastor with various Statistical and Machine Learning Models
Language:Jupyter Notebook 9alessandrozamberletti / sp500-forecaster
Predict stock trends using visual time windows
Language:Python 8Leo8216 / An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns
Abstract: The S&P500 is difficult to predict. Multi-factor models provide a useful framework for making returns predictions and for controlling portfolio risk. This paper explores a three-step process in predicting PCA and Autoencoders factors to generate multi-factor models from the S&P500 component securities.
Language:HTML 8- Financial-Markets
jidemaestri / Financial-Markets
This repo is about Economy & Financial Markets. Here you can see data about Argentinian Stocks Market, S&P 500, Dow Jones, Brazilian Stocks Market and other economic metrics such as GDP, Gold value, etc.
Language:Jupyter Notebook 7 riazarbi / sp500-scraper
Constituent history of the S&P 500 from various data sources
Language:R 7- ARIMAX-Gold-and-S-P500-Time-Series
Shane-McCallum / ARIMAX-Gold-and-S-P500-Time-Series
The purpose of this repository is to test the hypothesis that the S&P 500 index has an exogenous relationship to the price of Gold; specifically that as the S&P index falls, the value of Gold will increase.
Language:Jupyter Notebook 7 ArunavD / vix_strategy_backtest
Vix index is implemented in S&P500 historical data.
Language:Python 6cengizozel / Algorithmic-Trading-In-Python
Collection of 3 quantitative finance projects in Python that uses algorithmic trading.
Language:Jupyter Notebook 6warlockJay / Machine-Learning-on-S-P-500-Companies
Applied Basic Machine Learning on List of S&P 500 Companies using Yahoo Finance
Language:Python 6TheSnowGuru / Nostradamus-App
The app to know next day's yield prediction
Language:Python 4adamgulyas / diversifying-with-bitcoin
Data analysis that aims to evaluate Bitcoin as a diversification instrument to a US equity portfolio.
Language:Jupyter Notebook 3AnthonyDickson / AlgoTrader
A backtesting environment and trading bots implemented in Python.
Language:Jupyter Notebook 3JackZhao516 / smrti_quant_alerts
Various Crypto/US Stock Alerts
Language:Python 3- Language:HTML 3
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 3yfiua / quant-machine-sp500
Quant machine for S&P 500 (Annualized return: 20.60%; Sharpe ratio: 1.06; Sortino ratio: 2.05; Calmar ratio: 1.05)
Language:HTML 3ericanderson333 / SP500_Calendar
SP500 stock screener correlating to percent change during time periods.
Language:Python 2gvmossato / alstm-stock-market
📈 Previsão do Índice S&P 500 Utilizando LSTM e Mecanismos de Atenção
Language:Python 2- Language:R 2
andrea-varesio / smart-dca-backtest
Smart Dollar Cost Averaging backtest
Language:Python 1Golden Cross strategy implementation in S&P500 and NIFTY50 historical data.
Language:Python 1automated-bots / Stock-Index-Bot
S&P500 And VIX index bot for Telegram
Language:JavaScript 1Emino21 / GPT-Sentiment-Trading-Bot
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.
Language:Python 1FLopes045 / EDA-and-Price-Prediction-of-SP500-Companies
Visualization of fundamentals from S&P 500 companies and prediction of their stock prices.
Language:Jupyter Notebook 1furkanhaney / sp500-simulation
Simulation of S&P 500 by fitting a normal distribution to the daily price changes and then sampling to create possible pathway.
Language:Jupyter Notebook 1kassymashim / SP500_Optimal_Portfolio
Found optimal portfolio of S&P500 stocks using Python (NumPy, Pandas, SciPy, and Matplotlib libraries)
Language:Jupyter Notebook 1kentavv / sp500-tradingview
List of SP500 and Russell 2000 tickers importable into TradingView
Language:Jupyter Notebook 1LinhNguyen-MyLi / GARCH-model-forecast
Apply GARCH (1,1) model into forecasting S&P500. The topic is harder than though so it's still under construction but I'm working on it.
Language:Jupyter Notebook 1- dissertation_twitter_sp500
misacodes / dissertation_twitter_sp500
This repo contains the most important snippets of my masters thesis on the predictive power of Twitter emotions in the early months of the Covid-19 global health emergency
Language:R 1 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 1Sandreke / Data-Analysis-of-SP500-Stock-Features
This project consists of web scraping features of S&P 500 companies like ticker, company name, sector, headquarter, date first added and foundation year from Wikipedia with Python using BeatifulSoup and Requests libraries. Then, the web scraped data is cleaned to perform data visualization in order to deliver insights about S&P 500 companies.
Language:Jupyter Notebook 1yam0d / honours-project
This repo contains the R code for the results behind the honours thesis paper of Yaseed Amod and Luke Barnes, who were studying at the University of Cape Town when this was released. This includes excel files, data cleaning and data processing.
Language:R 1
