2.96 deflated bar 2.50 base t = 3.21 raw t = 1.64 gross halved, costs doubled The contrast the paper predicts, before and after the rerun for margin of safety. Rejected.

1. The paper, and the transfer

In July 2026 Kurth, Eisler, Rej and Bouchaud of CFM (Capital Fund Management, a Paris quantitative hedge fund) published "Is Trend Still Your Friend? A Microstructural Account of the Demise of Short-Term Trend-Following". Fast trend went flat around 2009. They reject crowding and blame a change of counterparty: the market makers who warehoused inventory gave way to high-frequency trading (HFT) firms mandated to end the day flat, and those firms will not absorb the persistent directional flow of commodity trading advisors (CTAs). Trend survived where the tick, the minimum price increment an exchange allows, is large relative to volatility, and died where it is small.

This desk works on daily bars, so a mechanism living inside the trading day could be killing my results where I cannot see it. I transferred the test to US large caps in a week, with the fatal caveat registered first: this is a daily-bar equity transfer of intraday futures microstructure, so a clean failure was expected.

DesignSpecification
Universecurrent US large caps, daily adjusted closes; survivorship biased, so every raw figure is an upper bound
Tick regimea penny for essentially the whole 21-year sample; amended Rule 612 gives tick-constrained names half-penny ticks from November 2025, so the constant-tick assumption holds for the sample period and not beyond it
Sorting variabletick over the product of price and return volatility over the trailing 63 days, ranked monthly across the cross section, split at the median
Median annualised volatility, high-ratio tier29.3%
Median annualised volatility, low-ratio tier35.5%
Portfoliosdecile long-short within tier (long the top tenth by signal, short the bottom tenth), equally weighted, lagged one day, rebalanced monthly
StatisticsNewey-West, which keeps correlated returns from overstating the evidence; bar raised for four declared tests
Stress rerungross halved, costs doubled

2. What happened

Four tests were declared, continuation and reversal in each tier. Several variants of one idea are several chances to get lucky, so the bar rose to 2.96 on the t-statistic, the measure of distinguishability from luck. All four failed; the best reached 0.10.

Declared look NW t Stressed t Bar
Continuation, high ratio −3.40 −4.86 2.96
Continuation, low ratio −5.72 −5.95 2.96
Reversal, high ratio −1.33 −6.95 2.96
Reversal, low ratio 0.10 −6.39 2.96

The paper predicts not any single test but the contrast between tiers, continuation relatively stronger where the grid is dense; both legs were already declared, so the contrast costs nothing extra. It replicated in the predicted direction, and the rerun for margin of safety then took it apart.

The contrastValue
Return+6.14% a year
Sharpe ratio (return per unit of risk)0.66
Newey-West t3.21
Bar, raised for four declared tests2.96
Stressed t, gross halved and costs doubled1.64
Base bar2.50
Sharpe, in-sample to out-of-sample (data the model never saw)0.89 to 0.18, a degradation of 80%
Turnoverabout 100x a year

A reader should be able to check the arithmetic rather than trust it. At that turnover the cost line is the size of the gross it is charged against. Cost is not a detail here; it is the position.

Cost arithmeticValue
House assumption per unit of turnover5 basis points, the engine backtester's default
Borrow on the short leg while open25 basis points annualised
Cost at roughly 100 turns a year, base caseabout 5% a year
Cost under the doubled-cost stressabout 10% a year
Gross produced by the contrast6.14% a year

3. Rejected

Rejected. A result that exists only at zero cost is not a strategy. The honest reading is not that the paper is wrong; its mechanism lives at a horizon where my costs are fatal and daily bars record nothing.

The direction replicated days after publication, on a variable never before in my pipeline, then died on turnover, the term a daily-bar cost assumption estimates worst. Signals whose edge sits closest to the trading day are the ones I should trust least.

4. What this does not claim

What daily bars can testWhat they cannot, and I do not pretend otherwise
Cross-sectional signals rebalanced daily or slowerOrder book dynamics and queue position
Conditioning variables built from price, volume, filings and options open interestAdverse selection at the tick, and the shape of impact within a day
Realistic cost sensitivity through a stressed rerunAnything that requires knowing what happened between the close and the open
Whether an effect concentrates in a handful of names or a single regimeExecution: my cost model is basis points on turnover with a doubling stress, a discipline rather than an execution model, and a real slippage model needs tick data and a venue map, which I do not have

Two further tests are named rather than run, and this note is worth less than it would be if I had run them.

Not runWhat it would settle
Slow the tier rebalance from monthly to quarterlyThe cheapest falsification: if turnover alone kills the contrast, the slower rebalance should preserve most of the signal and cut most of the cost
Regress the contrast on standard factorsWhether this is a new exposure or an old one repackaged. The tier split sorts partly on price and partly on volatility, and short-horizon reversal plus a volatility risk premium would reproduce a good deal of it. Academic for this book, since the result died on cost; load-bearing for anyone who reads the direction as encouraging

Educational research only. Not investment advice.

Educational research only. Not investment advice.