Common Mistakes Traders Make When Starting With Trend Following Forex Trading

Every term, a student walks into my office holding a printout of a beautiful chart. EUR/USD has climbed steadily for three months, and they ask the same question: “Why didn’t I just buy it and hold on?” It’s a fair question. Looking back, trend following seems almost insultingly simple. Done live, it ends up humbling a great many people.

So what common mistakes do traders make when starting with trend following forex trading? Mostly they aren’t failures of intelligence. They come from expecting the wrong things: the wrong win rate, the wrong amount of comfort, and a wrong idea of how much work the strategy does by itself. Trend following is a statistical approach that pays out unevenly, and most beginners treat it like a vending machine.

In this lecture (I promise there’s no attendance register), we’ll go through the five costliest errors I see over and over. I’ll explain why each one happens and show it with worked numbers. You’ll also get practical fixes to apply before your next trade. By the end you should understand the strategy’s moving parts well enough to spot these mistakes in your own trading before your account balance points them out for you.

Table of Contents

• Why the Common Mistakes in Trend Following Forex Trading Are So Costly
• Mistake 1: Judging the System by Its Win Rate
• Mistake 2: Cutting Winners Short and Letting Losers Breathe
• Mistake 3: Sizing Positions Without Doing the Maths
• Mistake 4: Rewriting the Rules After Every Drawdown
• Mistake 5: Ignoring Costs and Choosing the Wrong Timeframe
• Your Next Steps
• Frequently Asked Questions
• Conclusion

Why the Common Mistakes in Trend Following Forex Trading Are So Costly

Let’s start with the strategy itself. A trend following system doesn’t try to predict anything. It waits until price is already moving, joins that move, and stays in until the move ends. The famous Turtle Traders of the 1980s used a simple version: buy a 20-day high, sell a 20-day low, and size every position according to volatility.

Its profits come from a small number of very large trades. Most trades lose a little or roughly break even. Now and then one trade runs for weeks and pays for every loss before it, with plenty left over. That uneven distribution is the whole engine of the strategy, and it’s also why mistakes cost so much here.

Suppose you make one small error that removes the big winners. You might exit too early, skip the “ugly” signal, or turn the system off during a losing streak. Then you’re left with all of the small losses and none of the large gains. In most strategies a mistake makes you a bit worse. In trend following it can turn a positive expectancy into a negative one.

Key points to remember

• Trend following is reactive, not predictive. You follow price and don’t forecast it.
• A small fraction of trades produces most of the profit.
• Any habit that interferes with those outlier trades can wreck the whole system.
• The mistakes below are mostly behavioural, so no indicator setting will cure them.

Mistake 1: Judging the System by Its Win Rate

This is the big one. New traders expect to win most of their trades. After all, that’s what the advertisements show. A well-built trend following strategy, however, often wins only 30–45% of the time. Many trend followers have lived with long-run win rates below 40% and still made money.

So how does losing more often than you win make money? It’s all in the expectancy calculation:

Expectancy = (Win rate × Average win) − (Loss rate × Average loss)

Here’s a worked example. Take a system that wins 35% of the time. The average winner makes 3R and the average loser costs 1R, where “R” means your initial risk per trade.

• Winning side: 0.35 × 3R = 1.05R
• Losing side: 0.65 × 1R = 0.65R
• Expectancy: +0.40R per trade

If you risk £100 per trade, that’s an average of £40 per trade over time. Over 100 trades, that’s roughly £4,000. You’d still have lost 65 of those trades, though.

Why this matters

A trader who expects a 70% win rate will decide the system is “broken” after six losses in a row. With a 35% win rate, six straight losses aren’t unusual at all. Over a few hundred trades you should expect losing streaks of eight, ten or more. If you don’t understand that, you’ll quit right before the trade that would have paid for the streak.

Student question: “Can’t I just filter out the losers?” Some, perhaps. But many filters also remove the early part of the big trends, because those often start out looking just like false breakouts. Test any filter carefully before you trust it.

Mistake 2: Cutting Winners Short and Letting Losers Breathe

Behavioural finance has a name for this: the disposition effect. People sell winners too soon to “lock in” the pleasant feeling. They hold losers too long to avoid the unpleasant feeling of admitting they were wrong. It’s a very human reaction, and it ruins a trend following strategy.

Look at what it does to the expectancy example above. Say nerves make you take profits at 1.5R instead of letting trades run to an average of 3R. And say you let losers drift to 1.3R before closing them:

• Winning side: 0.35 × 1.5R = 0.525R
• Losing side: 0.65 × 1.3R = 0.845R
• Expectancy: −0.32R per trade

The entries and the market are exactly the same, yet the result is negative. All that changed was the exits. I like to tell students the exit is the most important part of a trend following system, while the entry mainly decides which seat you sit in.

How to fix it

1. Set the stop before you enter, and never widen it. You can tighten it, but you can’t widen it. Treat that as law.
2. Use a mechanical trailing stop. A chandelier stop at 3× ATR, or an exit on a 10- or 20-day low, decides for you when the trend is over.
3. Stop staring at open P&L. Check positions at set times, such as once a day after the close. Constant watching produces constant fiddling.

Mistake 3: Sizing Positions Without Doing the Maths

I’ve seen many a promising trader wiped out by a sizing error. A typical beginner trades “one mini lot” on every pair. That sounds consistent, but it isn’t. A 50-pip stop on EUR/USD and a 150-pip stop on GBP/JPY are completely different amounts of risk.

Risk a fixed percentage, measured by volatility

Professional trend followers size each position so that a stop-out costs a fixed share of equity. That share is usually 0.5–1%. The stop distance usually comes from the Average True Range (ATR), so it adapts to how much each pair normally moves.

Worked example: On a £10,000 account risking 1%, you can lose £100 per trade. If EUR/USD’s daily ATR is 70 pips and your stop is 2× ATR, the stop sits 140 pips away. A standard lot is worth about $10 a pip, which is around £7.50 at the time of writing (check your broker’s figure). That means:

£100 ÷ (140 pips × £7.50) ≈ 0.095 lots, so round down to 0.09 lots.

The hidden trap: correlation

Now suppose you get long signals on EUR/USD, GBP/USD and AUD/USD on the same day. You might think you’ve taken three separate 1% risks. In practice you’ve taken one large bet against the US dollar, with roughly 3% at stake on a single idea. If the Federal Reserve surprises the market, all three positions can hit their stops together.

• Cap your total risk per currency, for example 2% maximum exposure to USD.
• Cap total open risk across the whole account, for example 5–6%.
• Remember that trends in forex often run through a single currency, not just one pair.

One small piece of humour, if you’ll allow it: diversification means owning things that don’t all fall off the same cliff. Three dollar trades are one cliff wearing three hats.

Mistake 4: Rewriting the Rules After Every Drawdown

Here’s a pattern I could set my watch by. A student runs a 50/200 moving average system and hits a drawdown. They switch to 40/150, and that version hits a drawdown too. So they add an RSI filter, then a MACD confirmation, and then trade only on Tuesdays. (I’m only slightly exaggerating about the Tuesdays.)

The result is a system tuned perfectly to the past and fit for nothing in the future. This is over-optimisation, or curve fitting. Every parameter you add gives the backtest one more way to memorise noise rather than capture a real effect.

Why drawdowns aren’t evidence of failure

Long drawdowns are a normal part of trend following. Forex markets spend a lot of time ranging, and during those stretches trend systems bleed slowly from repeated small losses. Peak-to-trough drawdowns of 20% or more, lasting many months, are common even for well-regarded trend following funds. The real question isn’t whether you’re in a drawdown. It’s whether the drawdown is within the range your testing predicted.

A better approach

1. Keep parameters few and robust. If 50/200 works but 45/180 and 55/220 fail badly, you’ve found luck rather than an edge.
2. Test out of sample. Build the system on one period, such as 2010–2018, and test it untouched on 2019 onwards.
3. Write down your maximum expected drawdown before going live. Review the system only if you go meaningfully beyond it.
4. Test across many pairs. A real trend edge should appear, imperfectly, across several markets and not just one.

Mistake 5: Ignoring Costs and Choosing the Wrong Timeframe

Beginners often assume a lower timeframe means more trades, more trades mean more profit, and the 5-minute chart is therefore the place to be. Unfortunately, costs disagree with them.

Spread and commission

Suppose your round-trip cost on EUR/USD is about 1 pip including commission. On a daily chart with a 140-pip stop, that cost is under 1% of your risk, which is negligible. On a 5-minute chart with an 8-pip stop, the same 1 pip is 12.5% of your risk on every single trade. Short-term trends are also noisier, so you’ll get more false signals as well. The expectancy you worked so hard to build gets eaten away one spread at a time.

Swap (overnight financing)

Trend trades are held for weeks, so swap matters. If you’re long a low-yielding currency against a high-yielding one, you pay financing every night. Over a 60-day trade, that can quietly take a real share of your profit. Check your broker’s swap table before you enter, not after.

Choosing your timeframe sensibly

• Daily charts suit most new trend followers. Signals are cleaner, costs are proportionally small, and you need far less screen time.
• 4-hour charts are a reasonable middle ground once you have experience.
• Anything under 1 hour needs very tight costs and strict discipline. I wouldn’t recommend it for a first system.

For a broader primer on how trend trading behaves across timeframes, Investopedia’s overview of trend trading is a sensible place to start reading.

Your Next Steps

Knowledge that never reaches your trading platform is just trivia. Here’s a practical plan, in order:

1. Write your system on one page. Set out the entry, the initial stop, the trailing exit, the position size and the correlation limits. If it doesn’t fit on a page, simplify it.
2. Calculate its expectancy from a backtest of at least 100 trades across several pairs. Note the win rate, average win, average loss and maximum drawdown.
3. Demo trade it for 30–50 trades. You aren’t trying to prove profitability. You’re checking whether you can follow the rules without improvising.
4. Keep a trade journal. For each trade, record whether you followed the plan. Your rule-compliance rate tells you more than your P&L does.
5. Go live small. Risk 0.25–0.5% per trade for your first few months. You can scale up once your behaviour proves reliable.

Questions to develop your understanding

• If your system’s win rate is 38%, what is the probability of ten consecutive losses at some point in 500 trades? (Hint: it’s much higher than you’d guess, so simulate it.)
• How would your position size change if ATR doubled during a volatile news period?
• Which currency are you really exposed to across all your open trades right now?

Frequently Asked Questions

What is the most common mistake beginners make with trend following in forex?

The most common mistake is expecting a high win rate. Trend following systems often win only 30–45% of trades and make their money from a few large winners. Beginners who expect frequent wins tend to abandon the system during normal losing streaks.

How much should I risk per trade when trend following?

Most experienced trend followers risk 0.5–1% of account equity per trade. They size positions with volatility measures such as ATR and cap total exposure to any single currency. Beginners should start nearer 0.25–0.5% while they build discipline.

Why does my trend following strategy keep losing money in sideways markets?

Trend systems are built to profit from sustained moves, so ranging markets produce repeated small losses. That’s an expected cost of the strategy, not a defect. The question to ask is whether those losses stay within the drawdown your backtest predicted.

What is the best timeframe for trend following forex trading?

Daily charts are usually best for beginners. Signals are cleaner, spread costs are a small share of each trade’s risk, and the strategy needs less screen time. Lower timeframes increase noise and costs considerably.

Should I change my trend following settings after a losing streak?

Generally, no. Changing parameters after every drawdown leads to over-optimisation. Review the system only if performance falls clearly outside the range your out-of-sample testing predicted.

Conclusion

So, what common mistakes do traders make when starting with trend following forex trading? They judge the system by its win rate instead of its expectancy. They cut winners short and give losers room. They size positions by habit instead of arithmetic, and they ignore correlation. They rewrite the rules after every drawdown. And they trade timeframes where costs eat away the edge.

Notice that none of these mistakes needs a cleverer indicator to fix. Each one needs clearer rules, honest maths, and enough discipline to sit through the boring and uncomfortable stretches. Write your one-page system this week, calculate its expectancy, and demo trade it with a journal. Do that, and you’ll be ahead of most people who ever click “buy”.