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Quant-curious retail investors, finance students, and small funds who want a transparent, publicly tracked leaderboard of trading signals — including the ones that failed
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StockArithm
StockArithm is a transparent quant research platform built around a simple idea: if a trading signal is any good, it should survive being tracked in public. The platform paper-trades 442+ algorithms and sector ETF strategies in real time, ranks them on a daily-updated leaderboard, and — unusually for the space — keeps a public 'graveyard' of strategies that failed in live conditions so users can see what didn't work, not just what did. Alternative data inputs like TSA traffic, freight flows, and electricity consumption feed many of the signals, giving retail and semi-pro traders the kind of macro+microeconomic edge that previously required Bloomberg or a hedge-fund data subscription. Instead of selling closed black-box picks, StockArithm exposes the methodology and the live track record, which makes it a credible research companion for quant-curious investors, finance students, and small funds evaluating signal strategies.
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Pros
- Public paper-trading of 442+ algorithms — verifiable, not marketed
- Transparent 'graveyard' of failed signals (rare in the quant space)
- Alternative data integration (TSA, freight, electricity) at retail price points
- Daily-updated leaderboard makes ranking changes easy to track
- Educational for quant-curious investors and finance students
Cons
- Not a brokerage — signals must be acted on through your own trading account
- Full methodology and alt-data dashboards require a paid plan
- Best understood by users with some quant or finance background
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