Afraid to Pull the Trigger After Losses: What Skipping Signals Costs

Three losses in a row. The fourth signal lines up with every rule, but your finger hovers over the button and you let it pass. “I’ll watch one more” sounds careful. But if your system doesn’t win often and makes its money from a few big winners, this is how you throw away the trades that pay without noticing. This article explains why the brain hits the brakes, simulates what it costs, and covers what to do instead of skipping.

Why your finger won’t click after losses

This isn’t cowardice. It’s several normal mental mechanisms working at once.

• Loss aversion. A loss hurts more than a gain of the same size feels good (Kahneman and Tversky described this in Prospect theory in 1979). After a losing streak the pain has already piled up, so one more possible loss looks bigger than it is, while the 2.5R you might make feels far away.
• Recency bias. Recent events get too much weight. Three fresh losses shout louder than hundreds of tested trades, so “the next one will lose too” feels like a fact. In a system where trades are independent, the last result tells you nothing about the next one.
• Not acting feels safer than acting. If you click and lose, you blame yourself. If you don’t click and it wins, you only feel regret. The brain picks the option with less blame, even when it costs more money over time.

For an overview of these biases, read 8 biases that cost traders money. How long a losing streak can be while still normal is worked out in Losing streaks are normal. A system that wins 35% has a 0.65 × 0.65 × 0.65 = 27.5% chance of losing any given three trades in a row, so it happens a lot.

The problem is that skipping rarely ends with one trade. It turns into a loop.

Watching the skipped trade win is the dangerous step. Regret pushes you back into the market after price has already moved, which is FOMO and chasing entries, or into a bigger position to win it back. The worse results make you more afraid next time.

Does skipping after losses help? 20,000 simulated runs

Let’s measure it instead of guessing. The made-up system wins 35%, winners make +2.5R, losers cost −1R (R is the amount you risk per trade), and every trade is independent of the others.

Expectancy (average profit per trade), step by step:

1. Wins: 0.35 × 2.5 = 0.875R
2. Losses: 0.65 × 1 = 0.65R
3. Expectancy = 0.875 − 0.65 = +0.225R per trade
4. Over 500 trades, expect 500 × 0.225 = +112.5R

The system has an edge, but it loses almost twice as often as it wins. We simulated 20,000 runs of 500 signals each. Within each run every method sees the same sequence of results. Only the decision rule changes.

• Take every signal
• Skip 2 signals after 3 losses. Count the losing streak only on trades actually taken. At 3, skip the next 2 signals, then start counting again.
• Skip at random, same count. In the same run, skip exactly as many trades as the rule above, chosen at random.
• After 3 losses, wait for a win. Sit out until one winning signal has gone by, then come back.
• Half size for 2 after 3 losses. Don’t skip. Risk 0.5R on the next two trades, then go back to 1R.

Method	Trades taken (avg)	Average profit	Average max DD
Take every signal	500	+112.6R	19.8R
Half size for 2 after 3 losses	500	+100.9R	18.0R
Skip at random, same count	395.8	+89.4R	18.6R
Skip 2 signals after 3 losses	395.8	+89.1R	18.5R
After 3 losses, wait for a win	363.7	+81.9R	18.1R

DD (Drawdown) is how far the account falls from its peak. The table averages the deepest drawdown of each run.

Three things the numbers say:

1. Skipping after losses is no different from skipping at random. +89.1R against +89.4R is a tiny gap. Run by run, the loss-based skip came out ahead of random skipping in 46.1% of runs and behind in 47.3%, with the rest exactly tied. A coin toss.
2. Against taking every signal, it wins only 8.2% of runs. Those are the runs where the skipped trades happened to add up to a loss. In the other 92% or so it gives up profit.
3. A little less DD for about a fifth less profit. DD falls from 19.8R to 18.5R. But simply trading every signal at 0.94× size (18.5 ÷ 19.8 ≈ 0.938) gives the same DD and an average profit of 112.6 × 0.938 = +105.6R, 16.5R more than skipping.

Why it comes out this way

When trades are independent, the trade after three losses still wins 35%, like any other. Skipping doesn’t select trades at all. It just deletes them, and every deleted trade is +0.225R of Expectancy gone.

Check: the loss-based rule skipped 500 − 395.8 = 104.2 trades on average. Times 0.225 is 23.4R, close to the actual loss of 112.6 − 89.1 = 23.5R.

Of those 104.2 skipped trades, 36.5 were winners and 67.7 were losers on average. You dodged 67.7R of losses but missed 36.5 × 2.5 = 91.3R of profit. The dodged losers look like more, but each winner is worth two and a half losers.

The “wait for a win” rule is the worst for a simple reason: you only come back after a winner has already gone by. So every time you use it, you miss exactly one winner. While waiting you skip 1 ÷ 0.35 = 2.86 signals on average, dodge 1.86R of losses and miss +2.5R, a net cost of 0.64R each time, which is exactly 2.86 × 0.225.

Low win rate, big winner systems get hurt more

Take a system with the same Expectancy (+0.225R) that wins 60% at +1.04R per winner, with the same rule and the same simulation.

	Wins 35% at 2.5R	Wins 60% at 1.04R
Chance of losing a given 3 in a row	27.5%	6.4%
Trades skipped per 500 signals (avg)	104.2	37.8
Profit lost (avg)	23.5R	8.5R
One winner as a share of the expected 112.5R net	2.2%	0.93%

The low win rate system gets hit twice. The skip rule fires more often, because losing streaks are normal for it, and each winner carries more of the profit. It averages 175 winners per 500 trades, and missing just 45 of them (112.5 ÷ 2.5) equals the whole expected profit. If the real profit comes from a few trades that run much further than 2.5R, as trend-following systems often do, each missed trade costs even more.

Skipping doesn’t pick the good trades. It just deletes trades, and in a low win rate system some of the deleted ones are the trades that pay for all the losers.

Skipping on feel breaks your statistics

There is a cost the table doesn’t show: your own data gets spoiled.

• Your record stops being the system. Live results become “system + hand-picked by mood”, which you can’t compare with the backtest. If live results are poor, you can’t tell whether the system broke or the skipping did it.
• Fewer trades, more uncertainty. Low win rate systems need more trades before the edge shows. See How many trades before you know a system works. Deleting about 20% of them means waiting even longer.
• People don’t skip mechanically. In the simulation the rule ignores what the trade looks like. Real traders tend to skip trades that “look scary”, such as fast-moving markets or trades right after news. If those are the trades that pay the system, the result is worse than the table.

The fix is to log a shadow trade for every signal you skip: entry, SL and TP as planned, and the result it would have had, in your trading journal. Once you have several dozen, compare the win rate of skipped trades with the ones you took. If there is no difference, the fear knows nothing the system doesn’t.

When stopping is the right call

The simulation assumes independent trades. If your system’s results come in phases, for example good in trends and bad in ranges, cutting back or pausing after losses can genuinely help. But it has to be a written, tested rule, not a trade-by-trade feeling. How to test that is in Equity curve trading.

Two other sensible reasons to stop: stopping because of the trader’s state, such as hitting the daily loss limit, being tired or being angry, and stopping to review the system when a losing streak runs past the range you worked out in advance. Both are decided by criteria set beforehand, not by “this one feels bad”.

Practical fixes

1. Reduce size instead of skipping. Write the rule down first, for example: after 3 losses, risk half on the next two trades, then return to normal size whatever happens. In the simulation this cost 112.6 − 100.9 = 11.7R, half of what skipping cost (23.5R), because each time it’s used it gives up only 2 × 0.5 × 0.225 = 0.225R of Expectancy instead of 2 × 0.225 = 0.45R.

To be honest, it isn’t smarter than simply trading smaller all the time. Every trade at 0.91× size gives the same DD and about +102.3R. The benefit is that you still take every signal, you get all the big winners, and your record stays complete. A smaller risk helps your finger click. If you often can’t click at normal size, your risk per trade may be more than you can handle. See Risk 1% per trade.

2. Place orders in advance. If the system knows the entry ahead of time, use a Pending order with SL and TP set when you make the plan. See Order types explained. The decision happens while you are calm, and when the signal comes there is nothing to click. If the system is fully rule-based, letting an EA place the orders removes the hesitation point too, but you also need a rule that you won’t switch the EA off on emotion.

3. If-then plans. Psychologist Peter Gollwitzer calls these implementation intentions (American Psychologist, 1999): linking a situation to an action in advance. A meta-analysis by Gollwitzer and Sheeran (2006) found a medium-to-large benefit for reaching goals (d ≈ 0.65). These studies weren’t done on traders, but the method is cheap enough to try. Write sentences like these next to your screen:

• If a signal passes my checklist and I want to wait for one more, I will take 3 slow breaths and then place the order as planned.
• If I lose 3 in a row, I will trade the next 2 at half size, not skip them.
• If I really want to skip, I will first log it as a shadow trade with my reason.

4. Separate “the system decides” from “I feel”. Use two columns in your journal. The first answers only yes or no: does the signal meet the rules? (See Pre-trade routine and checklist.) If yes, the order goes in. The second column rates your fear from 1 to 5 and records it. Your feeling gets a place, but not a vote. When the urge to skip is strong, watch it rise and fall like a wave without acting on it, as in Urge surfing.

The system decides whether to enter. Your feelings only decide whether you are fit to trade today.

Common mistakes

• Skipping without logging the result. You remember the skips that would have lost, so skipping feels helpful, while the numbers may say the opposite.
• Jumping in after watching the skipped trade win. A late entry at a worse price, or a bigger size to win it back, spins the loop faster.
• Using “wait for a win” as a rule. It sounds safe, but it guarantees you miss a winner every time you use it.
• Cutting size and never going back. Without a rule for returning to normal size, the small size sticks around and costs more than you expect.
• Judging the system from results with trades missing. Live results with 20% of trades skipped can’t be compared with the backtest. See Backtest vs live results.

If fear around trading spills into your sleep, appetite or everyday anxiety, consider talking to a mental health professional. In Thailand, the Department of Mental Health hotline is 1323.