vannagamma Goto Github PK
Name: VannaGamma
Type: User
Twitter: vannagamma
Name: VannaGamma
Type: User
Twitter: vannagamma
Features and labels engineering of raw data of quotes of several stocks.
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
bybit simple market maker
Asynchronous Semaphore Based on Credits for Efficient Credit-Based API Throttling
A dashboard for macroeconomic and stock market data built with Python and Dash.
In this project, we will explore the usage of Principal Component Analysis to model market behavior within an industry. Furthermore, we will explore the interpretation of top eigenvectors as portfolios to create trading strategies.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A curated list of practical financial machine learning tools and applications.
Collection of notebooks about quantitative finance, with interactive python code.
FTX Sample Code
HFT signals on GDAX
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Goldman Sachs - Quantitative Strategies Research Notes
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Ilya Kipnis's miscellaneous quantstrat extensions, indicators, and order-sizing functions.
Tutorial para descargar datos del Instituto Nacional de Estadística (INE) con R.
Jupyter metapackage for installation, docs and chat
Notebooks for https://python.quantecon.org
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Accompanying source codes for my book 'Mastering Python for Finance'.
If you can measure it, consider it predicted
The code from the Machine Learning Bookcamp book and a free course based on the book
toolbox of fast mm-related funcs
A collection of homeworks of market microstructure models.
Investment Research for Everyone, Anywhere.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.