Python toolkit for quantitative finance
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Re: Python toolkit for quantitative finance
#32[flagged]
Re: Python toolkit for quantitative finance
#33I’ve seen surprising stuff that had rational reasons under closer investigation. Companies have cultures and internal priorities that make sense when you’re inside the bubble, but look weird from outside.
Re: Python toolkit for quantitative finance
#34Re: Python toolkit for quantitative finance
#35Re: Python toolkit for quantitative finance
#36Cool to see some "bank Python" that Cal Paterson had described previously is now open source https://calpaterson.com/bank-python.html
Goldman was the first place to do a system like that, and when it was copied at other investment banks like JP Morgan and Bank of America, they opted to use Python instead of an in-house language and so "bank python" was born. Actually, the banks all poached engineers from one another, so many of the people that built the system at one place ended up building it again at another, hence why there are so many similarities between the equivalent systems at all these US investment banks. Some of those people eventually went on to build it again as a SaaS offering: https://www.beacon.io/
Re: Python toolkit for quantitative finance
#37Does GS still use their proprietary Slang language or has that been phased out in favour of Python?
Still very much present, it powers "SecDB" (which is pretty much the nervous system of the entire markets business). While there's certainly been openness to Python/etc and tech to integrate Slang into the 21st century, it's the kind of thing that's hard to imagine ever being phased out.
Re: Python toolkit for quantitative finance
#38[flagged]
Re: Python toolkit for quantitative finance
#39[flagged]