17 crypto trading strategies explained: momentum, mean reversion, breakout, carry, DCA, grid and more

A crypto trading strategy is a fixed set of rules for when to enter, how much to risk and when to get out. Most systematic strategies fall into five families: momentum (ride a move that has started), mean reversion (bet a stretched price comes back), breakout (trade the first move out of a range), carry (get paid funding to hold the side the crowd avoids) and market making (quote both sides and earn the spread). Each one earns from a different source of edge, and each one fails in a different market, so the useful question is not which strategy is best but which one fits the market you are in. Below are those five, then twelve more that traders search for, from day trading and swing trading to DCA, grid, arbitrage and copy trading, with the Senpi template for each where one exists.

The five families of crypto trading strategies

Run any of these strategies with an AI agent

You don't have to code a strategy to run one. Describe the rule in a sentence to your Senpi agent, in the app or from Claude, ChatGPT, Grok or another AI app through the connectors. Senpi shows the rules back to you, then runs them in a separate strategy wallet with the stop attached from the first fill. Each strategy trades from its own funded strategy wallet, and the agent holds no key and cannot withdraw.

Or start from a template. Senpi's open-source strategy library is a growing set of templates you can deploy as they are or change in plain language. Four of the five families are covered:

Strategies built from a rule or a template carry their exit from the first fill: the Dynamic Stop-Loss (DSL) moves the stop as the trade gains, and each strategy can have its own daily-loss or drawdown halt. To see which family the market favours right now, Senpi Signals ranks funding extremes, what proven traders hold against the four-hour crowd, momentum events and cross-asset laggards, in the app and in the free Chrome extension.

Every strategy concept, with its Hyperliquid reading on Nov 9, 2026

Each concept has its own explainer with a dated data table, the rules traders use and the matching templates. The readings below come from those tables and are refreshed weekly.

Momentum and trend following

Momentum strategies buy what has been rising and sell what has been falling, on the bet that the move continues. Trend following is the slower version: it waits for a trend to show on a higher timeframe, such as a moving-average cross or a break of structure, and holds until the trend breaks. Crypto trends can run far because news spreads unevenly and liquidations of leveraged positions push price further the same way.

• Example rule: go long when the 20-period EMA crosses above the 50 on the 4-hour chart and price is above its 50-day average; exit on a trailing stop half a daily ATR wide or wider.
• Where it breaks: in sideways markets every cross is a small loss, and a sharp reversal can take back weeks of gains before the trail catches up.
• Reading on Nov 9, 2026: On the 4-hour chart, BTC, ETH, SOL and HYPE last broke structure to the downside.

Mean reversion

Mean reversion bets the other way: a price stretched far from its average tends to come back toward it. Traders measure the stretch in standard deviations (a z-score), with Bollinger bands or with RSI, and most rules wait for the stretch to start turning before entering. It is the natural partner of momentum: the two make money in opposite markets, which is why many funds run both.

• Example rule: buy when price closes more than two standard deviations below its 20-day average and RSI turns back up; exit at the average, or on a stop below the band.
• Where it breaks: in a trend the stretch keeps stretching, and a strategy that keeps buying the dip adds to a loser.
• Reading on Nov 9, 2026: All six large perps tracked (BTC, ETH, SOL, HYPE, XRP and DOGE) traded below their 20-day averages. The most stretched was XRP at −2.79 standard deviations from its average.

Breakout

Breakout strategies wait for price to leave a range, such as the first hour of a session, the last swing high or a multi-day high, and trade in the direction of the break. The edge is mechanical: stop-loss orders and new entries cluster just outside obvious levels, so a break triggers a burst of orders that pushes price further.

• Example rule: mark the high and low of the first hour after 00:00 UTC; go long on a close above the high, with the stop at the range's middle and size set so that stop costs 1% of the account.
• Where it breaks: false breaks. Price pokes through, triggers the stops and snaps back into the range; requiring a candle close and real volume filters some of them.
• Reading on Nov 9, 2026: In the first hour after 00:00 UTC on Monday, Nov 9, the range was 1.09% wide on BTC and 1.73% on HYPE. At the snapshot BTC was below the range; ETH, SOL and HYPE sat inside.

Carry: getting paid funding

Perpetual futures have no expiry; instead, the side the crowd leans to pays the other side funding every hour to keep the perp close to the spot price. A carry trade holds the side being paid and collects the payments. The classic version, cash and carry, pairs a short perp with the same coin held spot, so the price risk cancels; an unhedged version takes the paid side outright and needs an exit for when price moves against it.

• Example rule: when a market's annualised funding is far from the usual level and the paying side is losing momentum, take the paid side at low leverage, with an exit if price moves a set distance against you.
• Where it breaks: funding can flip within hours, and a few percent of price move wipes out weeks of funding at high leverage.
• Reading on Nov 9, 2026: Five of the ten sat at 0.0013% an hour, about 11% a year, which is Hyperliquid’s default interest-rate component when the perp trades close to its index. Departures from it show where the crowd leans: at the snapshot, SOL shorts were paying longs about 16% a year and XMR longs were paying shorts about 61% a year.

Market making

A market maker keeps a buy order just below the price and a sell order just above it, and earns the gap between them each time both sides fill. On Hyperliquid, resting (maker) orders pay less than orders that take liquidity: 0.015% against 0.045% at the base tier on crypto perps, nothing for makers above tier 4, and a small rebate for the largest market makers. The best-known market maker on the exchange is HLP, the community-owned protocol vault, which also takes over liquidated positions; see Hyperliquid vaults and HLP.

• Example rule: quote both sides a fixed distance from the mid price with post-only orders, cap the inventory you hold, and widen the quotes when volatility rises.
• Where it breaks: adverse selection. In a fast move only the losing side fills, so the maker ends up holding inventory that is falling, and liquidation-driven moves are the fastest of all.
• What it needs: speed, low fees and capital spread over many markets. It is the hardest family for an individual to run well, which is why most traders take part through vaults rather than their own quotes.

12 more crypto trading strategies

Most other strategies traders name are either a holding period for the five families above (day trading, scalping, swing trading) or a way of applying them (DCA, grid, pairs, copy trading, macro rotation). Here is how each works, where it breaks, and what Senpi offers for it.

Where the edge comes from, and how it fades

Alpha is the part of a return that comes from a real edge rather than from the market going up. In crypto it comes from a handful of sources, and every one of them fades as more traders find it: the trade gets crowded, the reaction gets faster, and the regime that made it work changes.

Discipline is the last source of edge and the one that never gets crowded: sizing every trade from the stop, keeping a drawdown limit and not revenge trading after a loss.

How to choose and judge a strategy

1. 01Match the family to the market. Trend and breakout rules for trending markets, mean reversion for ranges, carry when funding is far from normal.
2. 02Write the rules down before you trade: entry, exit, size and the market it runs on. If you can't write it in a sentence, an agent or a script can't run it either. How to use AI for quant trading strategies walks through turning an idea into rules.
3. 03Size from the stop. Decide the most you will lose on a trade, such as 1% of the account, and let the distance to the stop set the size.
4. 04Count the costs: taker fees on every entry and exit, and funding for every hour a position is open. See Hyperliquid fees explained.
5. 05Judge it on three numbers: profit factor (does it make money), max drawdown (how much pain on the way) and the Calmar ratio (return per unit of pain). Test on history with costs included, then run small before you run size.

This page explains how trading strategies work. It is not financial advice, and the market readings are data, not trade signals. Leveraged perps can lose money quickly.