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rsi_meanrev had the best gross-edge distribution of the three shipped signal rules — median
gross PF 1.1631, 58% of assets gross-positive — while reaching the promotion floor on zero
of 24 assets (median n=38 against min_trades=100). #252 called it "the one live lead" and framed
the question as:
Does its gross edge survive being made to fire more often? If selectivity is what creates the
edge, the rule is unpromotable by construction. If the edge survives to n≥100, it is the only
route by which any rule the codebase ships reaches its own promotion floor honestly.
What was run
A monotonicity test, pre-registered in the script itself this time — the defect §7 of #252
recorded was that its declaration lived in a dispatch brief rather than in the file.
Variable axis: oversold ∈ {20, 25, 30, 35, 40}, the only measured frequency lever (×2.18 and
×3.93 per step, against ×1.186 for support_proximity_pct).
Held: overbought=80 (an exit control — moving it changes outcomes, not just counts, which
would make the slope uninterpretable), support_proximity_pct=0.005, all else default.
Conditional proximity arm declared in advance with its trigger and reporting rule.
Result
Conditional arm did not fire — 21 of 24 assets reach n≥100 at oversold=40.
median gross PF
gross>1
oversold=20 (median n=38)
1.1631
14/24
every cell with n≥100
0.8938
11/76
Net > 1.0 at n≥100: 0 of 76 cells, at any fee including maker.
The edge evaporates exactly when the rule becomes measurable. The 1.1631 that made this rule look
like the best of the three is what n=38 looks like.
Method notes against ourselves
The pre-registered statistic was underpowered for its own question. A linear slope was
declared; the phenomenon is a threshold effect. Mean slope −0.0386/100 trades, 15/24 negative —
directionally right but noisy, with most of its 0.35 stdev coming from two assets that barely
trade (PAXG-USD n=12→145, WLD n=1→71). The partition on the pre-declared n≥100 floor is far
cleaner and is reported alongside it.
The design's monotonicity assumption is violated on 3 of 24 assets. UNI collapses 309→9
between oversold 30 and 35; BTC 181→80. Under investigation — likely an unclosed position
blocking subsequent entries.
Follow-up to #251 / #252, answering the single open question that document left.
What #252 left open
rsi_meanrevhad the best gross-edge distribution of the three shipped signal rules — mediangross PF 1.1631, 58% of assets gross-positive — while reaching the promotion floor on zero
of 24 assets (median n=38 against
min_trades=100). #252 called it "the one live lead" and framedthe question as:
What was run
A monotonicity test, pre-registered in the script itself this time — the defect §7 of #252
recorded was that its declaration lived in a dispatch brief rather than in the file.
oversold ∈ {20, 25, 30, 35, 40}, the only measured frequency lever (×2.18 and×3.93 per step, against ×1.186 for
support_proximity_pct).overbought=80(an exit control — moving it changes outcomes, not just counts, whichwould make the slope uninterpretable),
support_proximity_pct=0.005, all else default.oversold=20reused from docs(experiments): three rules, 24 assets, zero free parameters — the viable intersection is empty #252's rows as the anchor → 4 new levels × 24 assets = 96 combos.Result
Conditional arm did not fire — 21 of 24 assets reach
n≥100atoversold=40.oversold=20(median n=38)n≥100Net > 1.0 at
n≥100: 0 of 76 cells, at any fee including maker.The edge evaporates exactly when the rule becomes measurable. The 1.1631 that made this rule look
like the best of the three is what n=38 looks like.
Method notes against ourselves
declared; the phenomenon is a threshold effect. Mean slope −0.0386/100 trades, 15/24 negative —
directionally right but noisy, with most of its 0.35 stdev coming from two assets that barely
trade (PAXG-USD n=12→145, WLD n=1→71). The partition on the pre-declared
n≥100floor is farcleaner and is reported alongside it.
between
oversold30 and 35; BTC 181→80. Under investigation — likely an unclosed positionblocking subsequent entries.
Deliverables
docs/experiments/2026-08-12-rsi-meanrev-scale-vs-selectivity.md