Page 1 of 1

Case Study, Kofi: The Scalper and the Spread

Posted: Thu Oct 29, 2026 6:01 am
by Fairman
Case Study, Kofi: The Scalper and the Spread

Kofi is a composite character. He scalps EUR/USD on the five-minute chart. His wins average 4 pips and his losses average 5 pips, with a 55 percent win rate. The spread is 1.5 pips. He takes 15 trades a day, 0.5 lots each.

Gross expectancy. 0.55 times 4 is 2.2 pips. 0.45 times 5 is 2.25 pips. Net: minus 0.05 pips per trade before costs. After the spread, minus 1.55 pips.

In dollars at 5 dollars per pip: minus 7.75 per trade. Fifteen trades a day: minus 116 dollars. Over 20 trading days: minus 2,325 dollars, a heavy loss on a 10,000-dollar account.

Notice that Kofi's chart-reading may be fine. His gross result is close to breakeven. The spread is what turns it negative. His average win of 4 pips is less than three times the spread.

What could change? Fewer trades, with higher quality. Targets of 10 pips with stops of 8, which reduce the spread's weight, though the win rate would fall. A raw account with a 0.2-pip spread and a 7-dollar round-trip commission per lot, which equals 0.7 pips, gives a total cost of 0.9 pips: the net becomes minus 0.05 minus 0.9, which is minus 0.95 pips, still negative.

The honest conclusion is that the strategy lacks a gross edge large enough to cover costs. Costs alone could not be fixed.

The path forward is to find a setup with a gross edge of at least 2 to 3 times the cost, or to trade a longer timeframe.

Exercise: compute the ratio of your average win to your spread.

Re: Case Study, Kofi: The Scalper and the Spread

Posted: Sat Oct 31, 2026 8:40 pm
by Shadow Trader
Spread is usually treated as the toll to get in. It also carries information. When the spread on a liquid pair jumps from 0.2 to 0.6 with no news on the calendar, someone upstream has stepped back.

That often comes right before a move. Liquidity providers widen when their models see risk: a large order nearby, a correlated market jumping, a headline hitting a wire before the retail feeds show it.

Watching the spread tick as a live gauge takes some practice, but the signal is simple. Calm and tight means normal. Calm but suddenly wide means something is coming.

A few quick ways to put the idea to work. Keep a running spread readout beside the chart, ideally with a thin colored band that turns amber at twice the normal value and red at four times. The eye catches color shifts far faster than numbers.

Pay attention to which side moves first. If the ask lifts while the bid sits still, providers are leaning toward higher prices. If the bid drops while the ask holds, the lean is the other way. It isn't a prediction, only a hint that the quote stack is leaning before the print does.

Does a spread jump with no news ever precede a move reliably enough to use?