Strategies
Inverse-Collateral Forced-Selling Absorption on COIN-M: buy a Binance COIN-M alt inverse perp at the close of a <=-2-sigma UTC day ONLY when its COIN-M premium sank >=1 sigma below the same coin's USD-M premium that day (the selling came from coin-margined longs), fixed 3-day clock (19 pre-2022 USD_PERP alts, 1-DAY, long-only event panel, 10% per leg, max 6 concurrent, flat ~97% per name)
Outcome: Verifying
CoinMInverseCollateralForcedSellingAbsorption
Inverse-Collateral Forced-Selling Absorption on COIN-M: buy a Binance COIN-M alt inverse perp at the close of a <=-2-sigma UTC day ONLY when its COIN-M premium sank >=1 sigma below the same coin's USD-M premium that…
Hypothesis
Fills under-represented buckets: BINANCE_CM is 2.8% vs >=5% target; event-driven is the best-surviving tag family (14%); flat-most-of-the-time fixed-clock event design matches L224. Not BTC (corpus concentration). Event count pre-registered (166 events on <=80 dates >= 30, L237) and per-event capture (~1.5% raw) far above the 0.06% COIN-M round trip. Long-only by design: L230 warns the short mirror of absorption has not worked.
Implementation
Long-only Binance COIN-M event panel on 1-DAY bars over the 19 pre-2022 alt USD_PERP inverse perps. On each UTC daily close, per coin: shock_z = the COIN-M perp's daily log return / std of the prior 60 daily returns; spread = log(typical price COIN-M / typical price USD-M) for the same coin (typical = (H+L+C)/3), z-scored against its prior 90 aligned days. Event: shock_z <= -2 AND spread_z <= -1 (the COIN-M contract sank relative to the USD-M contract that day = coin-margined longs were the forced sellers). Buy the COIN-M perp with a market order at the signal close (24/7 venue: equivalent to the next day's open, the platform's substitution for next-bar-open), 10% of equity per leg in whole USD-face contracts, max 6 concurrent, most negative shock first; exit on a fixed 3-daily-bar clock; no stops. The USD-M perps are signal-only reference legs and are never traded.
Backtest and paper results are hypothetical. Trading involves risk of loss.