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UID:pretalx-pyconde-pydata-2026-XGL37G@pretalx.com
DTSTART;TZID=CET:20260415T161500
DTEND;TZID=CET:20260415T164500
DESCRIPTION:Many investment strategies look convincing because they perform
 ed well in the past\, but these results are often easy to misread and do n
 ot always say much about how the strategy would work in the future. In man
 y cases\, strong backtest results come not from real skill or insight\, bu
 t from hidden rules\, unclear data choices\, or unrealistic assumptions. I
 n this talk\, I show how Tidy Finance principles help make these issues vi
 sible and easier to examine. Using clear examples from Tidy Finance with P
 ython\, I demonstrate that once assumptions are made explicit\, many impre
 ssive results no longer hold up.
DTSTAMP:20260412T141614Z
LOCATION:Europium [3rd Floor]
SUMMARY:Tidy Finance in Practice: How Clean Data Structures Expose Bad Inve
 stment Strategies - Christoph Frey
URL:https://pretalx.com/pyconde-pydata-2026/talk/XGL37G/
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