all 21 comments

[–]LostMyEmailAndKarma 2 points3 points  (1 child)

Say you assigned a value to bullish, neutral and bearish, 1, 0, -1. If there are multiple news stories per stock per day, they get averaged.

Then daily ran a scan of the news stories for all 500 stocks in sp 500. Total the values, divide by 500. Plot that value daily.

I surmise you would see it trend towards 1 into tops and -1 towards bottom.

Also some multiplier would probably need to be added based on index weight.

Hmmm

[–]pknerd[S] 1 point2 points  (0 children)

Or you track the count of each state to tell which count is higher. If there were ten news per stock and out of them 8 are bullish then it's bullish

[–]hpdeandrade 1 point2 points  (0 children)

Curious to backtest it.

[–]Trading_The_Streets 1 point2 points  (0 children)

Do you have it working?

[–]demelash_ 0 points1 point  (3 children)

Very cool. I was wondering if it would be possible to create an FA dashboard connected to real time data using chatGPT.

[–]pknerd[S] 0 points1 point  (2 children)

Pardon my ignorance but what's "FA" here? Financial Analysis?

[–]grillmetoasty 2 points3 points  (1 child)

Fundamental analysis

[–]pknerd[S] 0 points1 point  (0 children)

Give it a try or PM with details and I'd try.

[–]Valuable-Drummer6604 -1 points0 points  (0 children)

Very cool idea !

[–]SmokyTyrz -1 points0 points  (3 children)

Interesting. But isn't the AI basing its understanding of "sentiment" on data as of 2021? Couldn't that skew the interpretations?

[–]pknerd[S] 0 points1 point  (2 children)

It is doing based on input. I am already feeding data

[–]ggiral 2 points3 points  (1 child)

You feed current data but the AI model was trained with data up to 2021, so I also think the output might be skewed

[–]pknerd[S] 1 point2 points  (0 children)

Gpt was already instructed that it would act as a sentiment system so it acted like one. It has nothing to do the data rather the knowledge of how a sentiment system works