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JF
J and Friends Holdings Limited
stock NASDAQ ADR

At Close
Jul 22, 2026 2:17:46 PM EDT
0.8800USD0.000%(+0.8800)32,586
0.7300Bid   0.9800Ask   0.2400Spread
Pre-market
Jul 27, 2026 9:07:30 AM EDT
0.7932USD0.000%(+0.7932)100
After-hours
0.00USD0.000%(0.00)0
OverviewHistoricalExchange VolumeDark Pool LevelsDark Pool PrintsExchangesShort VolumeShort Interest - DailyShort InterestBorrow Fee (CTB)Failure to Deliver (FTD)ShortsTrends
JF Reddit Mentions
Subreddits
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We have sentiment values and mention counts going back to 2017. The complete data set is available via the API.
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JF Specific Mentions
As of Jul 28, 2026 1:00:56 AM EDT (1 min. ago)
Includes all comments and posts. Mentions per user per ticker capped at one per hour.
4 days ago • u/QuantGrindApp • r/quant • need_more_advanced_books • C
SSRN is a dumping ground, there's no filter on it at all, so that experience is normal. If you want signal, pick a handful of actual journals (JF, RFS, JFE, Journal of Portfolio Management for the more applied stuff) and read backwards from there. But also worth adjusting what you're reading for. Anything published with a clean tradeable edge is either crowded or was never real, decay after publication is pretty well documented. I read papers for the technique, how they handle the data, what controls they use, what the standard errors look like, and basically never for the strategy itself. Replicating one on your own data teaches you more than reading ten.
sentiment 0.93
4 days ago • u/QuantGrindApp • r/quant • need_more_advanced_books • C
SSRN is a dumping ground, there's no filter on it at all, so that experience is normal. If you want signal, pick a handful of actual journals (JF, RFS, JFE, Journal of Portfolio Management for the more applied stuff) and read backwards from there. But also worth adjusting what you're reading for. Anything published with a clean tradeable edge is either crowded or was never real, decay after publication is pretty well documented. I read papers for the technique, how they handle the data, what controls they use, what the standard errors look like, and basically never for the strategy itself. Replicating one on your own data teaches you more than reading ten.
sentiment 0.93


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