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Trend Following Strategy: Ride the Wave
A classic trend-following strategy that enters in the direction of the established trend and rides it until price action proves the trend has reversed.
Overview
Trend following is built on a simple truth: markets trend more often than most traders expect, and the biggest profits come from holding a position until the trend truly ends. The strategy never tries to pick tops or bottoms. It enters after a trend is confirmed and exits only when price action proves the trend has reversed.
Setup
- Instruments: liquid stocks, index ETFs, forex majors, large-cap crypto
- Timeframe: daily (4H acceptable for faster signals)
- Indicators: 50 SMA as a trend filter, 20 EMA as a pullback reference, ATR(14) for volatility
- Market regime: a clear series of higher highs and higher lows (long) or lower highs and lower lows (short)
A trend is only valid when price stays on the correct side of the 50 SMA and the 20 EMA slopes in the trend direction.
Entry rules
- Confirm the higher timeframe trend is up — price above the 50 SMA and the 20 EMA rising
- Wait for a pullback toward the 20 EMA; never chase an extended move
- Enter long on a bullish reversal candle (hammer, engulfing) that closes back above the 20 EMA
- For shorts, mirror every rule below the 50 SMA
Stop loss
- Place the stop just below the swing low of the pullback (long) or above the swing high (short)
- Alternative: 1.5 × ATR(14) from entry, which adapts to current volatility
- Never widen a stop once the trade is live
Use the stop loss calculator to size the distance correctly.
Take profit
- First target: the most recent swing high (book partial profits)
- Trail the remainder below the 20 EMA; exit fully when price closes on the wrong side of the 50 SMA
- Aim for a minimum 2R reward — confirm with the risk-reward calculator
Risk management
- Risk a fixed 1% of account equity per trade
- Position size = risk amount ÷ (entry − stop). Verify with the position size calculator
- Limit correlated open trades — one tech ETF and one tech stock count as a single risk unit
- Stop trading the strategy after three consecutive losses in a choppy regime; trend following bleeds in ranges
When it fails
The strategy suffers most in sideways, low-ATR markets where the 20 EMA flattens and pullbacks become whipsaws. If the 50 SMA is horizontal, stand aside and wait for the next genuine trend to develop.
Backtest Results
Hypothetical backtest — past performance does not guarantee future results. These numbers are illustrative, not a promise. Always forward-test on demo before live trading.
Test parameters:
- Instrument: S&P 500 ETFs (SPY, QQQ) and major forex pairs
- Timeframe: Daily
- Period: 2020-01-01 to 2025-12-31 (5 years)
- Risk per trade: 1% of account
- Commission/slippage: included
| Metric | Value |
|---|---|
| Total trades | 300 |
| Win rate | 38% |
| Average win | +3.0R |
| Average loss | -1.0R |
| Expectancy | +0.52R |
| drawdown" class="glossary-link">Max drawdown | 22% |
| Annualized return | 24% |
| Profit factor | 1.8 |
| Best trade | +8.5R |
| Worst trade | -1.5R |
| Avg trades/month | 5 |
What the numbers mean
The low win rate is offset by a large average win — the strategy relies on a handful of big winners to pay for many small losses. The 22% drawdown is the cost of holding through volatility, and the positive expectancy comes entirely from letting winners run rather than cutting them early.
Weaknesses to watch
- Choppy, sideways regimes generate strings of small losses that can shake confidence before the next real trend develops
- Exits trigger only when price closes on the wrong side of the 50 SMA, which can give back a meaningful chunk of open profit on sharp reversals
- Correlated positions (multiple tech stocks, multiple FX majors) cluster losses on the same regime shift, so treat them as one risk unit
How to use this data
Use these numbers as a baseline expectation. If your live results are significantly worse after 50+ trades, something is off — either the market regime changed, or your execution differs from the backtest. Do NOT scale position size based on backtest optimism.
My Notes
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Strategy is for educational purposes only. Not financial advice.
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