Tickfloor

Calendar-event drift: 10 Backtests

Data last updated

Rules tied to a dated event, such as a funding reset, a holiday or the turn of the month.

0 of 10 strategies finished ahead of the benchmark on the raw number, and 0 had an unadjusted p-value under 0.05. None cleared the correction for trying 1,774 tests in total (a q-value below 0.10), so no result here is a confirmed edge. Scored 2026-10-31, using data up to 2025-03-15.

Strategies here tested on crypto, ETFs, US stocks. See the full family index, the full method and every result, or download the raw registry (JSON).

Results

RuleMarketVs benchmarkSamplep-valueCorrected qReceipt
QQQ in even FOMC-cycle weeks, AGG in odd weeks receipt
Source: Cieslak, Morse & Vissing-Jorgensen 2019 JF 'Stock returns over the FOMC cycle' (the equity premium is earned in even weeks 0, 2, 4, 6 of the cycle)
ETFs−2.0 pts/yr5,081 rebalances1.0001.000On-site receipt
End-of-quarter window dressing bounce receipt
Source: Lakonishok, Shleifer, Thaler, Vishny 1991 J. Finance ('window dressing')
ETFs−5.6 pts/yr141 rebalances1.0001.000On-site receipt
High beta in even FOMC-cycle weeks, low beta in odd weeks (wide US stocks) receipt
Source: Cieslak, Morse & Vissing-Jorgensen 2019 JF 'Stock returns over the FOMC cycle'. Cost: about 50 full book switches a year, roughly 5%/yr at 0.05%/side
US stocks−7.7 pts/yr2,136 rebalances1.0001.000On-site receipt
Turn-of-month equity drift (wide US stocks) receipt
Source: Lakonishok & Smidt 1988 RFS; McConnell & Xu 2008 FAJ
US stocks−10.1 pts/yr17,570 trades1.0001.000On-site receipt
Turn-of-month equity drift receipt
Source: Lakonishok & Smidt 1988 RFS; McConnell & Xu 2008 FAJ
ETFs−10.4 pts/yr243 trades1.0001.000On-site receipt
Full test: Turn-of-the-Month Effect
Quadruple-witching-day reversal receipt
Source: Stoll & Whaley 1987 JFQA (expiration-day effects); popular retail folklore 2020s
ETFs−13.5 pts/yr79 trades1.0001.000On-site receipt
Lunar New Year Asia-driven crypto seasonality receipt
Source: Crypto trade-press/exchange volume commentary (CryptoQuant/Kaiko notes)
crypto−26.6 pts/yr133 trades1.0001.000On-site receipt
Crypto turn-of-month drift receipt
Source: Lakonishok & Smidt 1988 RFS turn-of-month, tested here for the crypto-specific absence of the equity mechanism
crypto−44.8 pts/yr1,308 trades1.0001.000On-site receipt
Crypto perpetual funding-reset time drift receipt
Source: Exchange/trader community commentary on funding-time microstructure
crypto−53.5 pts/yr10 trades1.0001.000On-site receipt
Crypto weekend low-volume drift receipt
Source: Kaiser 2019 Financial Markets and Portfolio Mgmt; Aharon & Qadan 2019 J. Behavioral Finance
crypto−56.9 pts/yr5,612 trades1.0001.000On-site receipt
Full test: Crypto Weekend Effect
  • QQQ in even FOMC-cycle weeks, AGG in odd weeks

    ETFs · −2.0 pts/yr · 5,081 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    Cieslak, Morse & Vissing-Jorgensen 2019 JF 'Stock returns over the FOMC cycle' (the equity premium is earned in even weeks 0, 2, 4, 6 of the cycle)
    p-value
    1.000
    Corrected q
    1.000
  • End-of-quarter window dressing bounce

    ETFs · −5.6 pts/yr · 141 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    Lakonishok, Shleifer, Thaler, Vishny 1991 J. Finance ('window dressing')
    p-value
    1.000
    Corrected q
    1.000
  • High beta in even FOMC-cycle weeks, low beta in odd weeks (wide US stocks)

    US stocks · −7.7 pts/yr · 2,136 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    Cieslak, Morse & Vissing-Jorgensen 2019 JF 'Stock returns over the FOMC cycle'. Cost: about 50 full book switches a year, roughly 5%/yr at 0.05%/side
    p-value
    1.000
    Corrected q
    1.000
  • Turn-of-month equity drift (wide US stocks)

    US stocks · −10.1 pts/yr · 17,570 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Lakonishok & Smidt 1988 RFS; McConnell & Xu 2008 FAJ
    p-value
    1.000
    Corrected q
    1.000
  • Turn-of-month equity drift

    ETFs · −10.4 pts/yr · 243 trades · corrected q 1.000

    Full test: Turn-of-the-Month Effect

    Source, p-value and result file
    Source
    Lakonishok & Smidt 1988 RFS; McConnell & Xu 2008 FAJ
    p-value
    1.000
    Corrected q
    1.000
  • Quadruple-witching-day reversal

    ETFs · −13.5 pts/yr · 79 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Stoll & Whaley 1987 JFQA (expiration-day effects); popular retail folklore 2020s
    p-value
    1.000
    Corrected q
    1.000
  • Lunar New Year Asia-driven crypto seasonality

    crypto · −26.6 pts/yr · 133 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Crypto trade-press/exchange volume commentary (CryptoQuant/Kaiko notes)
    p-value
    1.000
    Corrected q
    1.000
  • Crypto turn-of-month drift

    crypto · −44.8 pts/yr · 1,308 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Lakonishok & Smidt 1988 RFS turn-of-month, tested here for the crypto-specific absence of the equity mechanism
    p-value
    1.000
    Corrected q
    1.000
  • Crypto perpetual funding-reset time drift

    crypto · −53.5 pts/yr · 10 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Exchange/trader community commentary on funding-time microstructure
    p-value
    1.000
    Corrected q
    1.000
  • Crypto weekend low-volume drift

    crypto · −56.9 pts/yr · 5,612 trades · corrected q 1.000

    Full test: Crypto Weekend Effect

    Source, p-value and result file
    Source
    Kaiser 2019 Financial Markets and Portfolio Mgmt; Aharon & Qadan 2019 J. Behavioral Finance
    p-value
    1.000
    Corrected q
    1.000
How to read these results

"Vs benchmark" is the strategy's annualized return minus an equal-weight benchmark, rebalanced daily, on the same assets and days. Strategies are charged trading costs; the benchmark pays none. Ahead is not a confirmed edge: the p-value is the unadjusted chance of a gap this large by luck, and the corrected q allows for how many strategies were tried, because testing hundreds of ideas throws up lucky winners. Every strategy saw only data up to the same cutoff date. The receipt is the frozen result file for that rule.

"Sample" is trades for rules that enter and exit a position, and rebalances for portfolio rules. A rebalance is a scheduled date on which a portfolio rule re-ranks and held at least one position. It is the sample size for portfolio rules. A holdings change is a rebalance where what the portfolio held, or its weights, differed from the previous one. Only these cost money to trade. The two are different counts and are never swapped. Definitions.

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