A Trend Trading Strategy for BTC and ETH Perps, With an Example Rule Set

To trend trade BTC and ETH perps, trade only in the direction of the higher timeframe trend. Enter on pullbacks and let a trailing stop decide the exit. Below is a complete example rule set with entry, stop, trailing exit and sizing inside a prop firm daily loss limit. It is an illustration to test, not a proven edge.

The idea behind trend trading perps

Crypto tends to move in long, strong legs between choppy periods. A trend trader does not try to call the top or bottom. The goal is to join a move that is already under way, risk a fixed amount, and stay in while it continues.

Rules like these are usually built to lose small and often, then win big now and then. The math has to work through that. At an average win of 2R, the break even win rate is 1 ÷ (1 + 2), about 33%. See risk to reward and expectancy for the full formula.

An example rule set

Written for longs. Reverse every rule for shorts.

1. Trend filter (4 hour chart): the last 4 hour candle closed above the 50 EMA, and the 50 EMA is above the 200 EMA. If not, no longs.
2. Pullback (1 hour chart): price dips to touch the 1 hour 20 EMA while the trend filter stays valid.
3. Trigger: a 1 hour candle closes above the high of the candle before it. Place a buy stop just above the trigger candle’s high.
4. Stop: below the lowest low of the pullback, minus 0.25 × the 1 hour ATR (14). Skip the trade if the stop is wider than 2.5 × ATR.
5. Trailing exit: once open profit reaches 1.5R, trail the stop at the highest high since entry minus 3 × the 1 hour ATR. Only move it up.
6. Trend exit: close the trade if a 4 hour candle closes below the 4 hour 50 EMA.
7. Limits: one position per coin. Cancel the buy stop if it has not filled within three 1 hour candles.

The ATR buffer keeps the stop out of the obvious spot just under the low, where wicks often reach. The 1.5R delay before trailing gives the trade room to breathe first. For more on ATR stops, read stop loss placement with ATR.

A worked example on BTC perps

Example figures. The 4 hour filter is valid. BTC pulls back to the 1 hour 20 EMA and makes a low at $61,180. The 1 hour ATR is $480. A trigger candle closes with a high of $61,950.

• Entry: buy stop at $61,960.
• Stop: $61,180 minus 0.25 × $480, which is $61,180 minus $120, so $61,060.
• Stop distance: $61,960 minus $61,060 = $900, about 1.45% of entry. That is under 2.5 × ATR ($1,200), so the trade is valid.
• Risk per trade: $200.

Position size = risk per trade ÷ stop distance = $200 ÷ $900 = 0.222 BTC

That is about $13,755 of notional. A full loss is 0.222 × $900 = $199.80 before fees. At an example taker fee of 0.05%, each side costs about $7, so the full loss is near $214. If your $200 must include fees, cut the size to 0.207 BTC.

Now the trade works. Price passes 1.5R at $63,310 ($61,960 plus $1,350), so trailing starts. BTC runs to a high of $65,400 with ATR now at $500. The trail sits at $65,400 minus $1,500, which is $63,900. Price then fades and hits it.

Profit is $63,900 minus $61,960 = $1,940 per BTC. On 0.222 BTC that is $430.68 before fees, about 2.2R. The trail gave back $1,500 per BTC from the high. That is the cost of staying in long enough to catch the move.

Say the trade was held for three days at an example funding rate of 0.01% per 8 hours. Funding on $13,755 is about $1.38 per interval, or about $12 over nine intervals. Small here, but in a crowded trend funding can run several times higher.

When this strategy fails

• Ranges. The 4 hour filter flips back and forth and each pullback entry is stopped out. This is the normal losing phase of any trend method.
• Sharp reversals. A trend can end in one large candle that jumps past your stop, so the loss is bigger than 1R.
• Scheduled news. US CPI and Fed decisions move crypto too. Spreads widen and stops slip around them.
• Correlation. BTC and ETH usually move together. A long on both is close to one larger trade, not two separate ones.
• Thin weekends. Liquidity is often lower, so wicks are larger and fills are worse.

How this fits prop firm rules

Trend trading means long losing runs, so size from the daily loss limit, not the account balance. Example figures: a $50,000 account with a $1,000 daily loss limit. Set a personal daily stop of half that, $500. At $200 risk plus about $14 in fees, two full losses cost $428, which fits. A third loss would not, so stop for the day after two.

Count BTC and ETH together. If both trades are open and both hit their stops in the same move, that is $428 lost in one go. Cap total open risk at 1.5 times your single trade risk.

Watch the drawdown type. With an intraday trailing drawdown, the floor can rise with open profit. In the example, the trade showed about $764 of open profit at the high, then gave back $333 to the trail. On some accounts that peak lifts the floor and costs you room. A consistency rule can also matter if one big trend day becomes most of your profit.

Rules vary by firm; check each firm’s page on PropFirmXchange. Start with the perps prop firms list and use find an account to compare by budget.

How to test it before you trade it

1. Write the rules so another trader would take the same trades. Remove anything you would judge by eye.
2. Test on at least two years of 1 hour data, covering a rising market, a falling one and a long range.
3. Include taker fees on both sides, funding on every interval held, and one tick of slippage on stops.
4. Collect at least 100 trades before trusting the averages. Record win rate, average win, average loss and the longest losing run.
5. Check the worst losing run against your daily and maximum loss limits.
6. Forward test on demo or tiny size for a month and compare with the backtest.

Questions traders ask

Which timeframe is best for trend trading perps?

There is no single best one. A 4 hour filter with 1 hour entries suits traders who check charts a few times a day. Shorter frames mean more trades and higher costs.

Should I take partial profits?

It is a valid variant, so test it rather than guess. Partials smooth results but shrink the large winners trend methods depend on.

Does the same rule set work on ETH?

The logic transfers, but ETH usually moves more in percentage terms. ATR based stops adjust for that, so position size will be smaller for the same dollar risk.

Trading perps carries a high risk of loss, and past results in a backtest do not predict future ones. Most prop firm accounts are simulated. Nothing here is financial advice.