Trend-following and grid bots have opposite payoff shapes. See how a crypto momentum strategy and a US momentum rotation behaved, and what a grid needs.
Strategy Templates · Updated 2026-10-07
A momentum or trend-following bot bets that a move, once started, tends to continue. It buys what has been rising, holds while the trend lasts, and steps aside or switches when the trend fades. A grid bot makes the opposite bet. It assumes price will keep returning to the same area, so it buys dips and sells rallies inside a fixed range. Grid trading is a form of mean reversion: it profits from price going back, not from price going on.
Because the bets are opposite, the payoff shapes are opposite too. A trend strategy typically has many small losses, from false starts and whipsaws, and a few large gains when a trend runs. A grid has many small gains, one for each completed buy-sell round, and an occasional large loss when price leaves the range and does not come back. One is shaped like an insurance buyer, paying small premiums for rare large payouts; the other like an insurance seller.
Momentum needs persistent direction. A long, steady uptrend or a sustained decline it can step away from is where it earns. It struggles in choppy markets where price reverses before a signal has time to pay, because each reversal triggers a small loss, and in sharp V-shaped turns, where it sells near the bottom and buys back higher.
A grid needs the opposite: price oscillating inside a range many times without a lasting break. A quiet, sideways market with regular swings is ideal. A trend is the grid's worst case. In a decline it keeps buying all the way down; in a rally it sells its coins early and misses the move.
The two styles also lose money differently. Momentum drawdowns tend to be slow bleeds: a run of small losses during a choppy stretch, which can last many months. Grid drawdowns tend to be sudden and one-sided: a smooth equity curve that drops when price breaks out of the range, with the loss sitting in open inventory rather than in closed trades. A grid's equity curve can look calm right up to the moment it is not, which is why its maximum drawdown over a short, quiet period says little.
Most of the site's strategy backtests are not crypto bots. They are rule-based US ETF and stock rotation strategies, re-run on daily data from 24 October 2016 to 5 October 2026 (run dated 7 October 2026). They still show how momentum logic behaves across regimes. Each day is labelled by SPY's trend: an uptrend when SPY is above a rising 200-day average, a downtrend when it is below a falling one, and sideways otherwise.
Crypto Time-Series Momentum, the strategy in the crypto research pack, is the crypto case. It holds the top-20 USDT perpetuals by trailing volume only while their own trend is up, long only at 1x, and sits in cash otherwise. Re-run from 12 October 2019 to 5 October 2026, it shows a CAGR of 29.07%, a maximum drawdown of −29.23% and a Sharpe of 0.93. That is the momentum payoff shape: it waits in cash through trendless stretches and earns in the trends, the opposite of a grid that earns in ranges. It is an aggressive-tier strategy: it was selected from many backtested candidates so luck cannot be ruled out, it has no live or forward record yet, and from 2023 to 2026 it trailed simply holding Bitcoin (15.29% against 54.87% a year).
Fifty-Two Week High Leaderboard, a US momentum-rotation strategy, shows the same logic split by SPY's trend. It averaged +22.6% annualized on uptrend days against SPY's +23.4%, but −16.0% on sideways days and −5.6% on downtrend days, against SPY's −77.2% and +27.1% in that run. In the same three sell-offs it lost 15.1% while SPY fell 19.4% in 2018, 11.0% while SPY fell 33.7% in 2020, and 8.3% while SPY fell 24.5% in 2022. It lost less than the index each time, but in 2018 the brake barely engaged. Its maximum drawdown was −34.5%, from 7 May 2021 to 28 March 2023. Over that stretch SPY returned −3.4%, so this was a long, strategy-specific bleed rather than a market crash. (The SPY figures differ slightly between the two pages because each is reported alongside its own strategy run.)
Two lessons follow. First, momentum earns in trends and gives some of it back elsewhere: the US rotation kept pace with SPY in uptrends and lagged in sideways and downtrend days, and the crypto strategy simply waits in cash when there is no trend. Second, a strategy label tells you little on its own, so read the drawdown, the regime split and how the result was produced side by side.
Notice what the sideways label means here. In this data, SPY's annualized return on sideways days was deeply negative, because those are the days when a trend is breaking and a sell-off is starting. That is not the calm, oscillating range a grid wants. A grid would have been buying through those breaks. A grid bot needs a market that keeps revisiting the same levels, and it needs that range to hold. The backtests above do not test that, and the numbers cannot be transferred to a crypto grid bot.
The first mistake is comparing a momentum strategy's ten-year result with a grid bot's few-week result as if they measure the same thing. The second is judging a grid by its win rate: most rounds win, yet open inventory can still produce a loss. The third is assuming that sideways on a chart means rangebound in the grid sense; a label based on moving averages can call the start of a crash sideways. The fourth is ignoring fees, which matter much more for a grid's many small trades than for a strategy that trades less often. A fee that barely registers on a few large trades can consume most of the profit on hundreds of small ones. Finally, a backtest is a re-run of rules on past data, not a record of real trading.
Neither style is safer in general. Momentum gives up some return in choppy markets and in sharp reversals; a grid gives up most of a trend and can be left holding inventory after a break. Match the style to a regime only with the understanding that regimes change without warning, size positions so the bad case is survivable, and treat every number here as historical and educational, not as a forecast or advice.
Educational content, not investment advice. Guide content and league rankings are independent of any exchange or sponsor relationship.