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A comment on Launch HN: Bedrock AI (YC S21) – Using ML to identify red flags in SEC filings. Parent comment

Re:Launch HN: Bedrock AI (YC S21) – Using ML to identify red... by kbennatti on Tuesday July 20, 2021 @09:35AM (#27893497)
Great q. Sino-Forest is an out-of-sample test so our models didn't technically "learn" from it. That said, very valid comment. Historical testing only goes so far. Assessing whether our algorithms work in deployment has been cool. Check out some of our live, in deployment examples here - https://bedrock.substack.com/p/bedrock-ai-vs-activist-shorts
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Re:Launch HN: Bedrock AI (YC S21) – Using ML to identify red... by naturalauction on Tuesday July 20, 2021 @10:25AM (#27894110)
>https://bedrock.substack.com/p/bedrock-ai-vs-activist-shorts

How often are companies rated with a risk factor this high. As in does a risk factor in the 80s mean that fraud is extremely likely or is it just notifying humans that this filing might be worth reading over with a fine-toothed comb.

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Re:Launch HN: Bedrock AI (YC S21) – Using ML to identify red... by piesauce on Tuesday July 20, 2021 @11:12AM (#27894740)
Less than 10 percent of companies have a risk score above 80. Our historical testing shows that around 1/3rd of companies with scores above 80 turn out to be fraudulent. (It is hard to test this so this might be an overestimate)
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Re:Launch HN: Bedrock AI (YC S21) – Using ML to identify red... by frijole on Wednesday July 21, 2021 @03:03AM (#27903178)
Just about every company mentioned in the article increased in value near and/or after the time of those reports. Pretty interesting.

Great work!

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