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Right, AI agents famously never make any mistakes.


So does procedural code, the architecture supporting it and the humans writing it. I am capable of playing devil’s advocate as well

Do you have an actual strongly held opinion or counterpoint on what I wrote?

Time to market, covering bases, lower maintenance and things to keep track of all represent the utility


Have you actually put together trading strategies by having the agent drive? I've never trusted it that far and I use agents a lot at my job right now. The way I usually do it is, I break out pen and paper to do an analysis of what I want mathematically. I then have the agent build out some Python that lets me backtest and analyze my work. I read through the code (which is usually fairly compact since numpy/scipy and various finance libraries do most of the heavy lifting for me), make any changes as needed, then run my analysis. Then I run it in a production setting if I like it. But the actual strategy is something I come up with on pen-and-paper.


I have, and agents come up with the strategy and execution based on my contribution of what sectors to look at and alternative data sources I tell them to look at a certain way. My time horizons are quarters, as well as signal conversion into a variety of single and multi leg options trades




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