christiankywong Goto Github PK
Name: Christian Wong
Type: User
Location: Hong Kong
Name: Christian Wong
Type: User
Location: Hong Kong
An agent-based trading framework
create all-weather risk parity weights and back-test
Automated market making
The AQ2o repository.
High performance datastore for time series and tick data
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Python Backtesting library for trading strategies
Dashboard to track crypto spot-futures premiums
bybit simple market maker
low-cost, high-efficiency, easy-to-implement
An Algorithmic Trading Library for Crypto-Assets in Python
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 130 bitcoin/altcoin exchanges
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
Collect BinanceFutures's trade and orderbook(depth) feeds.
Sample repo of a blog for the Git course
Cryptocurrency Exchange Websocket Data Feed Handler
A storage engine for cryptocurrency data
Backtest result archive for Momentum Trading Strategies
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
A list of online resources for quantitative modeling, trading, portfolio management
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
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
Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.
Free, open source crypto trading bot
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.