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Type: Organization
Type: Organization
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
High performance datastore for time series and tick data
An expansion of the Triple-Barrier Method by Marcos López de Prado
Small UI for the https://coin-hive.com/ mining API
Documentation behind the model used to analyse companies in Simply Wall St
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
Containers for data science
Portfolio construction in Python
Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)
FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
As described in Advances of Machine Learning by Marcos Prado.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
A python script to download daily futures market data from Interactive Brokers using IbPy
Python sync/async framework for Interactive Brokers API
Investing method to download last 30 days of financial historical data from Investing.com
Financial Data Extraction from Investing.com with Python
Macro data crawler for investing.com
Accompanying source codes for my book 'Mastering Python for Finance'.
Learn mathematics behind machine learning and explore different mathematics in machine learning.
Old code, use as reference.
Aug-2021 version
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Contains all the Jupyter Notebooks used in our research.
public version of MLFINLAB from Hudson-Thames
New mplfinance package (to replace mpl-finance by mid 2020).
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.