Scalping: a complete guide to the method
Scalping extracts a tiny profit from a multitude of trades lasting from seconds to minutes, betting on the volume of operations rather than the size of the move.
| Parameter | Value |
|---|---|
| Execution speed | < 20 ms |
| Maximum spread | < 0.3 pips |
| Broker account type | ECN/STP |
| Near the exchange/broker server | Nearby VPS |
How it actually works
The scalper profits from micro-movements of price and from order flow, making dozens and hundreds of trades per session. The profit of each trade is small, so two factors that are secondary for other approaches become decisive: speed of execution and costs. The spread a position trader does not notice is, for the scalper, the main line of expense.
Because of the short horizon, scalping places extreme demands on infrastructure: a tight spread, low execution latency, a stable connection. In unsuitable conditions the approach is mathematically unprofitable — accumulated costs exceed the total profit from micro-movements even before mistakes are counted.
Scalping is also the most demanding on attention and psyche: hundreds of decisions per session leave no time for reflection, and execution discipline matters more than any signal. This is a professional approach, not an amateur one.
Why this methodology cannot be honestly tested on our data
Scalping lives on seconds and minutes, while the available data is daily bars. A single daily bar hides thousands of micro-movements inside it — the very ones the scalper works on — so any “backtest of scalping” on daily data would have no bearing on the real mechanics of the approach and would be misleading.
We deliberately show no backtest here: presenting attractive figures computed on unsuitable data would mislead the reader. An empty space is more honest than an invented result.
Pros and cons
- Carries no overnight risk — all positions are closed quickly.
- Many opportunities per session; the result does not hinge on a single move.
- A small stop per trade under strict discipline.
- Costs are the decisive factor; in poor conditions the approach is mathematically unprofitable.
- Extreme demands on speed, infrastructure and attention.
- High psychological load: hundreds of decisions per session.
Nuances and pitfalls
Scalping is most often killed by costs, not by errors in signals. The profit of a trade is so small that the spread and commission consume it unnoticed by the trader, who watches the number of winning trades rather than the bottom line net of expenses. The second killer is execution latency: on a live account with slippage, a strategy that looked wonderful in a test using spread-free prices turns out to be unprofitable.
Who this methodology suits
For professionals with access to tight spreads, fast execution and the ability to withstand an intense load. For beginners and traders on ordinary retail conditions, scalping most often produces a loss because of costs.
Frequently asked questions
Why can’t scalping be shown on a daily chart?
Because a scalper works inside a single daily bar, on moves lasting seconds and minutes. A daily bar is already a rolled-up thousand of such micro-movements, and it simply lacks the information on which scalping is built. Any backtest on daily data would show a completely different strategy.
Can I scalp on an ordinary retail account?
Technically yes, but economically it is most often unprofitable. Scalping depends critically on the size of the spread and the speed of execution, and on typical retail conditions the costs consume the profit from micro-movements. Without a tight spread and low latency the approach is mathematically unprofitable.
What matters more in scalping — strategy or execution?
Execution and costs. Even a correct signal will not save you if the spread and slippage exceed the average profit per trade. That is why scalpers fight first for execution conditions and only second for signal quality.