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The underlying idea
Scalping generally refers to short holding periods and relatively small targeted movements. The label does not define a universal timeframe, trade frequency, or entry indicator. An EA needs explicit rules for all of those choices, along with a limit on adverse movement.
Where it is commonly discussed
Scalping is often discussed in active sessions with sufficient liquidity. Automation can apply repetitive rules consistently. That operational advantage says nothing about whether the target movement exceeds the total cost of entering and exiting.
Limitations and failure conditions
A modest spread change can consume a large share of a small gross target. Commission applies across repeated trades; slippage can worsen exits. A tester that uses optimistic fills may suggest an advantage that disappears with live execution. Latency matters only in relation to the actual strategy.
Questions for evaluating an automated system
Translate the strategy description into a testable sequence of observations, orders, sizing decisions, and exits. Keep assumptions fixed when comparing alternatives. A label describes a family of ideas, not a complete implementation.
- Are spread and commission included for every round trip?
- How do fills change during news, thin liquidity, or server congestion?
- Can one large loss overwhelm many small winners?
Common questions
Does automating this strategy make it profitable?+
No. Automation applies rules; it does not establish an advantage after costs or guarantee future results.
How should an evaluation begin?+
Document the rules, exposure limits, and execution assumptions. Use realistic historical tests, untouched data, and a monitored demo. Examine failure scenarios as well as the overall result.
Sources & review notes
Created and references reviewed 24 October 2026. These are educational explanations, not software certification or an endorsement of a third-party provider.
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