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UID:pretalx-pyconde-pydata-2025-BR3D83@pretalx.com
DTSTART;TZID=CET:20250424T165500
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DESCRIPTION:In this talk\, we'll explore how you can implement your own dis
 tributed system for algorithmic trading leveraging the power of open sourc
 e without being dependent on trading bot providers.\n\nWe will discuss dif
 ferent challenges occurring in HFT inter alia processing massive amounts o
 f data with low latency and reliable risk control and how to solve them. F
 urthermore we will touch on the topic of regulatory requirements in tradin
 g.\n\nThese challenges will be addressed through a distributed system impl
 emented in Python\, utilizing Kafka for real-time data streaming and Postg
 reSQL for persistent storage. We will examine approaches to decouple the c
 omponents to re-use and scale them across different markets.\n\nCryptocurr
 ency markets are used as a proving ground for the PoC due to easy availabi
 lity for everyone.
DTSTAMP:20260612T050010Z
LOCATION:Europium2
SUMMARY:From Algorithm to Action: Building a DIY Distributed Trading Platfo
 rm with Open Source - Eugen Geist
URL:https://pretalx.com/pyconde-pydata-2025/talk/BR3D83/
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