LastAncientOne / Scrape_Data
Scrape Data from Twitter, Facebook, Yahoo, and other websites
☆10Updated 2 years ago
Alternatives and similar repositories for Scrape_Data:
Users that are interested in Scrape_Data are comparing it to the libraries listed below
- Tutor step-by-step on how to analyze stock data using the R language.☆17Updated last year
- Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.☆27Updated last year
- Long-Term Investment in the Beverage Industry☆16Updated last year
- Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.☆40Updated last year
- 100 day Challenge writing codes daily☆16Updated 2 years ago
- Design your own Trading Strategy☆37Updated last year
- These are trading results and arbitrage models from Southern China Center for Statistical Science (SC2S2), Sun Yat-sen University☆18Updated 6 years ago
- mysql/MariaDB stock price database☆19Updated 4 years ago
- Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"☆31Updated 2 years ago
- These code have the objetive to calculate all the greeks in a real option contract ( using the Black&Scholes model), greeks like Delta,Th…☆16Updated 3 years ago
- A walk through the frameworks of Python in Finance. The repository is currently in the development phase. The finalized version will inc…☆26Updated last year
- Development space for PhD in Finance☆33Updated 5 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆46Updated 4 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆63Updated 5 years ago
- Modeling conditional betas with DCC-GARCH and COMFORT-DCC models with application in asset allocation.☆16Updated 5 years ago
- KAIST(Korea Advanced Institute of Science and Technology) Financial Engineering( Derivatives) Course Code+@☆25Updated 2 years ago
- ☆24Updated 6 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago
- A low frequency statistical arbitrage strategy☆19Updated 6 years ago
- The course, authored by Prof. Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading)…☆13Updated 6 years ago
- Library for simulation and analysis of vanilla and exotic options☆32Updated 4 years ago
- A collection of various computational methods to optimize a user's investment portfolio using Modern Portfolio Theory and optimizing vari…☆40Updated 4 years ago
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 years ago
- Project description: https://medium.com/@tzhangwps/measuring-financial-turbulence-and-systemic-risk-9d9688f6eec1?source=friends_link&sk=1…☆26Updated last month
- Implementation for "Statistical arbitrage in the US equities market" by Marco Avellaneda and Jeong-hyun Lee☆20Updated 6 years ago
- Dispersion Trading using Options☆32Updated 8 years ago
- A financial trading method using machine learning.☆60Updated 2 years ago
- FactorLab is a python library which enables the transformation of raw data into informative alpha and risk factors used in the investment…☆19Updated 3 years ago
- My replication of financial papers.☆19Updated 6 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆45Updated 4 years ago