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#30 Grid bots: does a small trend bet beside the grid smooth the bad months? Not shown

Past prices; no real orders were placed. Every figure is a share of the money, or a count.
Last checked: 15 October 2026.

Where the idea comes from

The question

A grid earns when prices swing and suffers when they trend. A common suggestion is to keep a small trend sleeve beside it: a position that follows the trend (what Moskowitz, Ooi and Pedersen, 2012, call "time series momentum"), to make up for the grid's bad months. Does it smooth the worst months, and what does it cost in the good ones?

How we tested

The maths, step by step

1. The 20-day sign. If the price was 100 twenty days ago and is 104 now, it's up, so the sleeve is long tomorrow.

2. A sleeve's month. Long for two days, as the price goes 100 → 110 → 99: ×1.10, then ×0.90, is ×0.99, a 1% loss before costs.

3. Smoothing, measured. Rank the grid's 48 months and take its worst 12. Say in one of them the grid lost 4% and the pair lost 2%: the pair did 2 points better that month. Average that over the 12 months. Do the same for the best 12 to get the cost.

4. Why any side bet "smooths". The grid's worst months were picked for being the worst. Anything that doesn't move with the grid lands closer to average in those months, so it lifts them. The shuffled sleeves show how much of the lift comes from that alone.

What we found

1. No rule passed. Against random-day sleeves of the same size, no real rule ranked above the middle on any coin:

share of shuffled sleeves the real one beat, at 80/2020-day sign50-day signcross
Bitcoin50%38%27%
Ether0%27%0%
Solana15%6%7%

2. The worst months did look better, but not because of the trend.

3. What it did to the months.

4. The sleeve on its own was a coin flip: from −2.7% to +3.3% a month depending on coin and rule, with worst months of −21% to −69%.

What it means

Limits

Credits

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Educational research from public market data; any trading discussed is paper, never real. Nothing here is advice. The full notice.