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High performance datastore for time series and tick data
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
All R code and source files for the online guide "Doing Meta-Analysis with R: A Hands-On Guide"
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
A financial data processing and visualization platform using Apache Kafka, Apache Cassandra, and Bokeh.
Library for fitting the LPPLS model to data.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Fast data store for Pandas time-series data
Systematic Trading in python
Download data from EOD historical data https://eodhistoricaldata.com/ using Python, Requests and Pandas.
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance.
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
quant_rv is a quantitative ETF trading strategy based on realized volatility, written in R
Portfolio analytics for quants, written in Python
Quantitative research and educational materials
The saxo_openapi package provides easy access to SAXO Bank OpenAPI (https://www.developer.saxo/openapi/learn). Checkout the Jupyter notebooks covering most aspects of the API.
Implement pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, Heston
ThetaData rust client for US Option - Full Trade Stream
Collection of resources used on QuantPy YouTube channel.
Zipline, a Pythonic Algorithmic Trading Library
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.