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Please ensure that you read and understand our Full Disclaimer and Liability provision concerning the foregoing Information, which can be accessed here. For more information about the FXCM's internal organizational and administrative arrangements for the prevention of conflicts, please refer to the Firms' Managing Conflicts Policy. The employees of FXCM commit to acting in the clients' best interests and represent their views without misleading, deceiving, or otherwise impairing the clients' ability to make informed investment decisions. Although this commentary is not produced by an independent source, FXCM takes all sufficient steps to eliminate or prevent any conflicts of interests arising out of the production and dissemination of this communication. The market commentary has not been prepared in accordance with legal requirements designed to promote the independence of investment research, and it is therefore not subject to any prohibition on dealing ahead of dissemination. He has given keynote speeches at technology conferences in the United States, Europe and Asia.īest Practices for Creating an Algo Trading SystemĪny opinions, news, research, analyses, prices, other information, or links to third-party sites contained on this website are provided on an "as-is" basis, as general market commentary and do not constitute investment advice. Yves has written the financial analytics library DX Analytics and organizes meetups, conferences and boot camps about Python for quantitative finance in Frankfurt, Berlin, Paris, London and New York.
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He is also the director of the first online training program leading to a University Certificate in Python for Algorithmic Trading. Yves lectures on computational finance at the CQF Program and on algorithmic trading at the EPAT Program. Derivatives Analytics with Python (Wiley, 2015) and.Listed Volatility and Variance Derivatives (Wiley, 2017),.Python for Finance (O'Reilly, 2nd edition, 2018),.Hilpisch is founder and managing partner of The Python Quants, a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading and computational finance.