Scalping

    Category

    Trading-Stile & Zeithorizonte

    Sub-category

    Trading-Stile

    Curated by

    GlanWick Team

    Last reviewed

    · Methodology

    Scalping is the shortest-term trading style: many trades held for seconds to minutes, each targeting only a few points or pips. Because targets are tiny, spread, slippage and fees decide profitability – and many prop firms and brokers restrict scalping through minimum hold times or consistency rules.

    Context & Mechanics

    How it works

    Scalpers look for situations where a few points of movement can be captured with high probability: pullbacks to intraday levels, order-flow reactions, inefficiencies after fast moves. Holding times range from seconds to a few minutes and frequency is high – dozens of trades per session are common. The style requires liquid markets with a tight bid-ask spread, fast execution and full concentration.

    Costs are the core of the calculation

    Because profit targets are tiny, transaction costs dominate the result. Every entry pays the spread, every market order risks slippage, and commissions come on top. An edge that works on paper can become unprofitable through a single point of spread – the break-even win rate rises noticeably. Scalping strategies must therefore always be calculated net of costs, not on gross movement.

    Psychological and regulatory limits

    High frequency means many decisions under time pressure – ideal conditions for overtrading and impulsive errors after losses. Prop firms add external limits: minimum holding times, consistency rules, news-trading restrictions or slippage clauses; some providers exclude extremely short holds entirely. The rulebook belongs fully checked before any challenge.

    Positioning among styles

    Day trading holds positions for minutes to hours, swing trading for days to weeks. Scalping is the shortest and operationally most demanding tier: it replaces the analysis time of longer styles with execution quality and discipline. Without robust statistics across hundreds of trades, a scalping edge cannot be distinguished from randomness.

    Execution Example

    A scalper trades DAX CFDs with a 5-point target and 4-point stop at €25 per point, averaging 30 trades per day. The spread is 1 point.

    1. Cost effect: the 1-point spread cuts every winner to an effective 4 points (€100) and raises every loser to 5 points (€125).
    2. Break-even win rate: 125 ÷ (100 + 125) ≈ 56% – without the spread it would be only 44%.
    3. Daily result at a 60% win rate over 30 trades: 18 × €100 − 12 × €125 = +€300.
    4. Sensitivity: at a 55% win rate the same day flips to roughly −€38 – the style's margin is razor-thin and every cost increase hits the result directly.

    Execution Risk & Errors

    1

    Ignoring spread and commissions in the expectancy calculation

    2

    Scalping illiquid sessions with wide spreads and erratic moves

    3

    Increasing trade frequency after losses and sliding into overtrading

    4

    Not checking prop firm rules (minimum hold times, consistency rules, news restrictions)

    5

    Trading without automatic stops because “the trade only lasts seconds”

    Frequently Asked

    How many trades does a scalper take per day?

    Depending on strategy and market, between a dozen and several hundred. What matters is not the count but that every trade follows the same tested setup and per-trade costs are included in the expectancy calculation.

    Do prop firms allow scalping?

    Many do, but with restrictions: minimum holding times, consistency rules, news-trading restrictions or slippage clauses are common, and some providers exclude extremely short holds. The specific firm's rulebook belongs fully checked before the challenge.

    Which markets suit scalping?

    Highly liquid instruments with tight spreads and high activity – index futures, major currency pairs or high-turnover stocks during main sessions. In illiquid off-hours, spread and slippage rise and destroy the style's thin margin.

    Why do many scalping approaches fail?

    Mostly on costs: spread, commission and slippage push the break-even win rate up considerably. Add the operational load – many decisions under time pressure favor overtrading and impulsive errors after losses.

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