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289 points GodelNumbering | 1 comments | | HN request time: 1.28s | source

(* within a few minutes of SEC filing)

Currently does it for 1000+ US companies and specifically earnings related filings. By US companies, I mean the ones that are obliged to file SEC filings.

This was the result of almost a year long effort and hundreds of prototypes :)

It currently auto-publishes for 1000 ish US companies by market cap, relies on 8-K filing as a trigger.

e.g. https://www.signalbloom.ai/news/NVDA will take you to NVDA earnings

Would be grateful to get some feedback. Especially if you follow a company, check its reports out. Thank you!

Some examples: https://www.signalbloom.ai/news/AAPL/apple-q1-eps-beats-desp...

https://www.signalbloom.ai/news/NVDA/nvidia-revenue-soars-ma...

https://www.signalbloom.ai/news/JPM/jpm-beats-estimates-on-c... (JPM earnings from Friday)

Hallucination note: https://www.signalbloom.ai/hallucination-benchmark

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dchuk ◴[] No.43677842[source]
Well done site. One important nit pick: never use charts that don’t start from 0 on the y axis. I was looking at a stock that had a yoy growth rate reduction of 6% (from 39 to 33 for each respective yoy period), and the chart showed an aggressive down to the right trend line because the y axis started at 33% instead of 0%.

Charts like that show more detail sure, but everyone freaks out in reaction to them. Always zero out your graphs.

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WheatMillington ◴[] No.43677904[source]
I disagree with this. Zero is an arbitrary and often useless intersection. A stock worth $300 is going to show meaningless movements at that scale.
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1. ReaLNero ◴[] No.43677937[source]
Yeah, I would say the y-axis range on charts should be set at "3-sigma likelihood of observation" thresholds. Not everything that's charted can be framed as sampling from a distribution, but the principle of manually setting chart ranges would nonetheless still apply.

For instance, if we're charting someone's body temperature, we would likely fix our y-axis to 80-110.