Short-term trading holds positions for minutes, hours or a few sessions depending on the method. The shorter the horizon, the more important spreads, commissions, order handling and discipline can become relative to the size of the expected move.
Pick a setup and time horizon
Choose whether the method is based on a breakout, pullback, momentum, range or event. Define the chart interval and expected holding period, then test the rules on that same horizon. Avoid combining unrelated signals only because they agree on one chart.
Measure the cost of frequent trades
A small gross edge can disappear after spreads, commissions, slippage and financing. Use executable prices in testing and account for partial fills. A high win rate is not enough if average losses are much larger than average gains.
Use a written risk process
Set the maximum risk per trade, daily loss threshold and conditions for stopping. Determine the exit before entry and avoid moving a stop simply to avoid taking a loss. Short-term volatility can make fills less predictable than a backtest suggests.
Review behaviour as well as results
Record whether each trade followed the setup and whether execution matched the plan. Take breaks after a rule breach and avoid increasing trade frequency to recover losses. A repeatable routine is more useful than constant activity.
Build a repeatable plan
Before risking capital, write down the conditions that must be present, the price or event that invalidates the idea, the maximum acceptable loss and the circumstances in which you will not trade. Test the rules on historical data and a demo account, include realistic costs, and keep records across different market conditions.
Questions to ask before using this approach
- Can the setup be defined and tested without hindsight?
- Are spread, commission, financing, slippage and liquidity included?
- Does the instrument and broker support the intended order types and holding period?
- What evidence would make the original idea invalid?
Educational information only. This guide is not personal investment advice and does not promise a profitable result. Trading and leveraged products can result in losses, including losses that may exceed expectations depending on the product and local rules.
