THE PYTHON QUANTS
The Experts in Data-Driven and AI-First Finance with Python. We focus on Python and Open Source Technologies for Financial Data Science, Artificial Intelligence, Asset Management, Algorithmic Trading, and Computational Finance.
OUR PRODUCTS & SERVICES
BROWSER-BASED FINANCIAL ANALYTICS
Experience a new level of productivity and a new approach to collaboration in financial analytics. The platform offers eg Jupyter Notebooks, full browser-based shell acess, GUI-based filemanagement, project/file sharing & publishing. Get a free trial.
Yves Hilpisch, CEO of The Python Quants and The AI Machine, has authored six books on the use of Python for Quantitative Finance. The first is Python for Finance (O’Reilly, 2018, 2nd ed.) which has become the standard reference on the topic. The second is Derivatives Analytics with Python (Wiley Finance, 2015). The third is Listed Volatility & Variance Derivatives (Wiley Finance, 2016), followed by Artifical Intelligence in Finance (O’Reilly, 2020) and Python for Algorithmic Trading (O’Reilly, 2020). The latest if Financial Theory with Python (O’Reilly, 2021).
DERIVATIVES & RISK ANALYTICS
Completely modular and object-oriented open source library to model, manage, price, and risk manage complex portfolios of (multi-risk) derivatives with potentially complex correlations structures. Optimize portfolios, value interest swaps and more. Visit http://dx-analytics.com.
SERVICES & TRAINING
LET'S DO IT TOGETHER
We help you in any way to start using Python for Quant Finance, to solve specific problems, or to conduct ambitious, path-breaking projects. Be it with consulting, development, or training. We help you transition from e.g. Matlab or R and also in streamlining your financial analytics processes with Python.
Experience new levels of productivity and collaboration in financial analytics.
Our approach to designing the Quant Platform is inspired by Bruce Lee's martial arts
philosophy: "Absorb what is useful, discard what is not, and add what is uniquely your own."
Benefit from powerful features of the platform.
Online training program in Python for Asset Management, Algorithmic Trading, and Computational Finance.
BASICS & TOOLS
MASTER THE PYTHON BASICS
Our program teaches the basics in mathematics, crypto, Python, data science, visualization, tools, and more. The goal is to bring you up to speed and to the brown or even black belt level. See the Certificate Program page.
MACHINE & DEEP LEARNING
Machine learning nowadays is at the core of many technologies and applications. This holds true for finance as well. Our program has three dedicated classes for AI in Finance. See the Certificate Program page.
BEAT THE MARKETS WITH PYTHON
A major focus of our Certificate Program lies on algorithmic trading based on traditional, technical trading strategies as well as based on machine & deep learning models. Nothing is as exciting as beating the markets. See the Certificate Program page.
ASSET MANAGEMENT & PRICING
Asset management and the pricing of options and other derivatives instruments are highly technical, quantitative disciplines. Python is the ideal programming language to implement quantitative financial models. See the Certificate Program page.
Data Analysis, Simulation,
Market-based valuation and management of equity options from theory and practical implementation. Wiley Finance, 2015.
Python for Algorithmic Trading
From Idea to Cloud Deployment
Learn all the Python skills to develop your algorithmic trading strategy from first idea to robust cloud deployment. O'Reilly, 2021.
Learn the relevant Python basics and profit from many real-world financial examples. Jupyter-based tutorial style. O'Reilly, 2018, 2nd ed.
ARTIFICIAL INTELLIGENCE IN FINANCE
A Python-based Guide
Learn all about data-driven and AI-first finance with Python. Apply neural networks to beat the markets. O'Reilly, 2020.
LISTED VOLATILITY &
Introduction to listed volatility and variance derivatives with directly executable Jupyter Notebooks. Wiley Finance, 2017.
Profit from our expertise: our team members are experts in Python for Data Science, Quantitative Finance,
Asset Management, Artificial Intelligence, Machine Learning, Excel, and more.
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This is what I wrote my PhD thesis more than 20 years ago about: how option hedging increases #volatility through positive feedback trading. Outsize swings in oil prices have been exacerbated by trading having little to do w the fundam. value of crudeRead More
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Still a few hours left! | Super Early Bird for the Certificate Program in #Python for #Finance | Join our growing community of Quant Developers, Algorithmic Traders, Asset Managers, and Financial Engineers | #AI #DeepLearning #DataScienceRead More
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@mansourtarek_ Somehow missed this. What exactly do you mean?Read More
The Experts in Data-Driven and AI-First Finance with Python. We focus on Python and Open Source Technologies for Financial Data Science, Artificial Intelligence, Algorithmic Trading and Computational Finance.