Modeling the 24-Hour Roll-Out Effect in TradFi Perpetuals

Summary

The article explains how a rolling 24-hour return changes mechanically as prices from the prior day leave its calculation window. It proposes estimating that change over the next five and thirty minutes while holding the current price constant. The thirty-minute change sets a candidate long or short direction; sign agreement and minimum near-term intensity help filter signals. The displayed-return shift is an attention hypothesis, not a forecast of an equal-sized price move.

The article cites historical Binance crypto perpetual research as evidence of a fragile anomaly, with costs and short-side tail risk limiting its value. It then describes a minute-level FMZ Rust prototype for Binance TradFi perpetuals, using a market scan to identify candidates and deeper WebSocket data to track them. The crypto findings do not validate the TradFi application, which remains a hypothesis. The document emphasizes that fills, spreads, funding, slippage, and adverse selection can erase a thin signal, and that the prototype lacks several advanced filters and execution models. Its stated aim is to make the data, signal, and order states observable before judging profitability.

Key ideas

• The displayed 24-hour return changes predictably as the prior day's prices roll out of its window.
• The proposed signal uses the projected change in that statistic, while current 24-hour performance serves only as an attention filter.
• A positive projected display change suggests a long candidate, and a negative change suggests a short candidate.
• Historical crypto results suggest a fragile effect and do not establish profitability in TradFi perpetuals.
• Execution costs and tail losses can outweigh a small gross signal.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.