FEATURE REQUEST #759
FOMO Radar scoring v2 — selectivity weighting, uncapped score, log-return stat, open positions
Original creator
@expire76
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Implementation Progress
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Submitted
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Reviewing
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Approved
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Building
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QA & Testing
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Description
From expire76's FOMO Radar review in Telegram General (ET-25011).
Built: (1) selectivity weighting — each qualified buyer's vote is multiplied by ln(N_tokens_in_window / n_tokens_this_wallet_bought) / ln(N) (floor 0.05), so a wallet that buys everything cannot vote for anything in particular; exposed as top_buyers[].selectivity and avg_buyer_selectivity. (2) score_raw — the trader score without the 0-100 clip, now the ranking key and tie-breaker on /traders. (3) avg_log_return — mean ln(proceeds/cost) over closed round trips, the statistic for a convex payoff. (4) open_positions + open_cost_eth per trader (counted, not marked to market). (5) identities survive a slot restart (the 09:52 UTC window of 'Unnamed launch' rows). Documented at /api/v1/clones/fomo-radar/docs.
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