Strategies
BTC Single-Asset Day-of-Week Calendar Effect Long-Short on BINANCE Daily (Aharon-Demir-Lau-Zaremba 2020 Crypto DoW Anomaly, Calendar-Based Event-Driven)
Outcome: Abandoned
BtcDailyDayOfWeekCalendarEffectLongShort
Outcome Summary
BtcDailyDayOfWeekCalendarEffectLongShort reached for a genuinely fresh signal — the calendar timestamp itself — implementing the documented crypto day-of-week anomaly by dynamically computing each weekday's rolling directional bias rather than hardcoding it, and adding a short side to help the direction quota. The result was decisive in the wrong direction: over 584 trades it lost 30.4% with a -1.15 Sharpe whose entire confidence interval sat below zero, a 0.733 profit factor, a 43% win rate, and negative returns in all 7 years — with fees eating 10.6% of gross on top. The reviewer abandoned it pre-optimization, concluding the day-of-week anomaly simply does not survive out-of-sample on Binance BTC and the adaptive version captures only noise, so no tuning can turn a worse-than-coin-flip signal into edge. The closing lesson honored the novelty of using timestamp as a signal while drawing the line: on BTC daily it carries no tradeable content, and the calendar directional-bias class is a no-edge dead end.
Hypothesis
Implementation
Single-asset BTCUSDT.BINANCE daily day-of-week calendar-effect long-short (pure OHLCV). Each daily close it computes the bar's UTC weekday and the trailing 90-day mean BTC daily return for that weekday (avg_return_by_dow). If the bias exceeds +0.3% and the bar closed up it goes LONG; if below −0.3% and the bar closed down it goes SHORT; otherwise flat. It holds ~1 day (the calendar edge horizon) and exits on the hold window or a 5% stop. Direction is learned dynamically from rolling history (no hardcoded weekday signs). Sizes 20% of equity per trade. Leverage 1.0.
Backtest Review
- Sharpe
- -1.15
- Total return
- -30.42%
- Max drawdown
- 32.70%
- Trades
- 584
- Win rate
- 43.2%
- Profit factor
- 0.73
Clean OHLCV-only implementation, correct long/short routing (347 long / 237 short), adequate sample (584 trades / 6.4 years), metrics_reliable=true; genuinely novel signal source (timestamp/DoW)
Decisively money-losing: Sharpe -1.15 with ENTIRE CI negative (-2.03 to -0.27), probabilistic_sharpe 0.006, profit_factor 0.733, total_return -30.4%, expectancy -56
Negative in ALL 7 years (no regime where it works); alpha -0.036, omega 0.74
High fee churn: commission 10.6% of gross on 584 trades compounds the negative gross edge
The day-of-week anomaly is not predictive on BTC daily -- either never held OOS on Binance or arbitraged away; the rolling-bias signal captures noise
0 of 7
majority
Outcome Summary
Calendar / day-of-week directional-bias strategies on BTC daily have no predictive edge — the academically documented anomaly does not survive out-of-sample on Binance, producing a sub-coin-flip long/short signal that loses every year with heavy fee churn — so timestamp is a genuinely novel signal source but carries no tradeable content on this instrument, and a sub-1-PF all-years-negative base cannot be optimized into an edge.
The analyst abandoned it at the backtest-review gate as a worse-than-coin-flip signal with no edge: the documented day-of-week anomaly is not predictive on Binance BTC daily — it either never held out-of-sample or has been arbitraged away — so the rolling adaptive bias captures only noise (alpha -0.036, near-zero correlation), loses every year, and the high trade count adds heavy fee drag that no threshold/lookback tuning can fix.
A single-asset, OHLCV-only, long/short BTC daily strategy that uses the calendar timestamp as its signal — computing each UTC day-of-week's rolling 90-day mean return as a directional bias, then going long on statistically-bullish days (with an intraday up-close confirmation) and short on bearish days, holding ~1 day — implementing the academically documented crypto day-of-week anomaly to add a novel signal source and help the direction quota.
It was decisively and consistently money-losing over an adequate 584-trade / 6.4-year sample: -30.4% total return (CAGR -6.4%), Sharpe -1.15 with the entire CI below zero (-2.03 to -0.27), probabilistic_sharpe 0.006, profit factor 0.733, 43% win rate, expectancy -$56/trade, 32.7% max drawdown, negative in all 7 years — with commission at 10.6% of gross compounding the negative gross edge; execution was clean (347 long / 237 short, metrics_reliable=true).
Backtest and paper results are hypothetical. Trading involves risk of loss.