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Name: Jakub
Type: User
Bio: quant, AI & enterpreneur, physicists
Name: Jakub
Type: User
Bio: quant, AI & enterpreneur, physicists
I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
Performance analysis of predictive (alpha) stock factors
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
The micro-price estimators from the paper "The Micro-Price: A High Frequency Estimator of Future Prices - Stoikov (2017)".
Option Calculator using Black-Scholes model and Binomial model
Strategy using the TipRanks Advisors
My contributions to the Quant Department of the Hedge Fund Club e.V. (University of Mannheim)
A collection of my quantopian learnings, trying to use everything locally and with updated code which works in 2020.
CLI tool for downloading Substack newsletters for archival purposes, offline reading, or data analysis.
Python module to interact with TipRanks API.
Calendars for various securities exchanges.
MongoDB Database Interface for VeighNa Framework
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.