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Scalping Strategy

Profit from tiny price moves with high-frequency precision.

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Scalping Strategy chart

Overview

What is Scalping Strategy?

Scalping is a short-term trading strategy that seeks to profit from small price movements, typically holding positions for seconds to a few minutes. A scalper makes dozens or even hundreds of trades per day, targeting a small number of pips or ticks on each, with the goal of accumulating significant gains through volume.

The strategy requires an extremely disciplined approach to risk management because the small profit targets mean a single large loss can erase many winning trades. Scalpers typically use very tight stop-losses and take-profits, often operating with a 1:1 or even less-than-1:1 risk-reward ratio, relying on a high win rate to remain profitable.

Key conditions for effective scalping include high liquidity (tight bid-ask spreads), low transaction costs (commissions eat significantly into small-profit targets), and fast execution. Scalping is most common in major forex pairs, crypto perpetuals with high volume, and equity index futures.

Automation is particularly well-suited to scalping: manual traders struggle to maintain the speed and emotional discipline required over hundreds of trades, while automated bots execute consistently without fatigue or second-guessing.

How It Works in auto-Trading

Automate It

auto-Trading's scalping module executes trades based on microstructure signals: bid-ask imbalances, order flow divergence, level-2 data, and short-period momentum indicators. Positions are closed automatically when the profit target or stop-loss tick distance is reached. Auto-Trading's cloud infrastructure minimises latency, which is critical for scalping strategies.

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Strategy Code

Pick a script below, copy it, and use it on your chart.

Pine Script (TradingView)

This is a TradingView Pine Script strategy example for this page concept. Paste it into the TradingView Pine Editor, add it to your chart, and run it in the Strategy Tester.

//@version=6
strategy("Scalping Strategy", overlay=true)
fastLen = input.int(20, "Fast Length")
slowLen = input.int(50, "Slow Length")
fast = ta.ema(close, fastLen)

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ThinkScript (thinkorswim)

This is a thinkorswim ThinkScript strategy example for this page concept. Open thinkorswim, create a custom strategy, paste the script, and apply it to your chart.

input fastLength = 20;
input slowLength = 50;
def fastMA = ExpAverage(close, fastLength);
def slowMA = ExpAverage(close, slowLength);
def buySignal = fastMA crosses above slowMA;

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