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Psychsignal Algorithm Using New QTradableStocksUS Universe

Note: This is an updated version of an old algo, simulated over more recent market data.

PsychSignal's StockTwits Trader Mood analyzes trader's messages posted on StockTwits, and provides a measure of bull/bear intensity for securities based on aggregated message sentiment. This dataset includes factors such as number of bullish and bearish messages, bull-to-bear intensity and bull-to-bear message ratio.

Both versions of this algo were inspired by Seong Lee's Social Media Trader Mood Series. Enjoy!

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2 responses

@Ernesto Perez
Hi Ernesto. I cloned it & tried running it but got a message stating: "execution timeout". Please advise...

@Tony,

I just cloned the algorithm to test it on my end, and it didn't raise any errors during simulation. Would you mind opening a support request so we can take a closer look on your end?