Python for Quants. Volume I. by Pawel LachowiczIn February, I sent out the following Connors Research Traders Journal which discusses us moving our research and programming from Amibroker to Python. The success of the class and the feedback from the class was tremendous. If you are looking to upgrade your trading strategies and improve your live research capabilities , the following will be of interest to you. You are invited to attend a free webinar I will be holding next week which will further allow you to learn more about the course, and why so many of the best professional trading firms now rely upon Python for their trading strategy development. Along the way, many hundreds and likely thousands of our customers followed our lead and moved onto Amibroker, especially for strategy testing.
Python for Algorithmic Trading - The AI Machine
Python for Quants. Volume I - Pawel Lachowicz.pdf
This bootcamp series is the only one in the world to focus exclusively on Python for Quantitative Finance. Do not miss it if you work in finance and use Python. This London series is the ninth of its kind. During the last eight more than people attended the bootcamp and conference days. We bring you three intensive bootcamp days during which we start from scratch with Python for Finance and end up implementing automated algorithmic trading strategies in real-time.
Few tutorials actually tell you how to apply them to your algorithmic trading strategies in an end-to-end fashion. There are hundreds of textbooks, research papers, blogs and forum posts on time series analysis, econometrics, machine learning and Bayesian statistics. What about practical implementation? How do you use that method for your strategy? How do you actually program up that formula in software?
QuantAtRisk eBook, Wiley, An essential reference dedicated to a wide array of financial models, issues in financial modeling, and mathematical and statistical tools for financial modeling The need for serious coverage of financial modeling has never been greater, especially with the size, diversity, and efficiency of modern capital Palgrave Macmillan, Based on the author's own experience as a professor and high-frequency trader, this book provides a step-by-step approach to understanding O'Reilly, Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning.