Swing Trading
A step-by-step walkthrough of Swing Trading with practice on the free $100,000 simulator.
What it is
Holding positions 2-10 days to capture intermediate moves.
Swing trading sits between day trading and investing: positions are held long enough for a thesis to play out, short enough that a single position is never a life decision. A scheduled review can fit some learners’ routines, but holdings remain exposed between observations and suitability cannot be inferred from employment status. The trade-off is overnight risk — earnings, macro prints and weekend headlines all move price while your stop cannot protect you at the exact level you set.
Market conditions that matter
It performs when a market is trending on the daily chart with regular pullbacks: think large-cap tech in an uptrend, or a major FX pair in a sustained rate-differential move. It performs badly in tight, headline-driven chop where every pullback becomes a reversal, and around earnings, where a single gap can exceed several planned stops.
Best suited to
People with day jobs. Patient traders who can check charts twice a day.
Badly suited to
Anyone who panics during overnight gaps.
The steps
- Use the daily chart to find the trend.
- Use the 4-hour chart for entries on pullbacks.
- Choose and document a hypothetical risk amount for the worksheet; no percentage is universally suitable.
- Compare chosen exit distances with a stated volatility calculation; a 1.5x ATR setting is an example, not a validated default.
- Test fixed exits, partial exits and trailing exits separately so you can compare how each rule behaves in simulation.
Worked example
Hypothetical worksheet, not an observed trade: Bought NVDA at $145 after a pullback, stop $138, target $165 — risked $7 to make $20.
The numbers behind it
Hypothetical arithmetic: fixed realized 47% wins at 2R and 53% losses at 1R give 0.41R gross expectancy per trade. With an arbitrary $1,000 practice loss amount, that is $410 before costs. These assumed inputs do not establish performance. Losing-run probabilities require a sample length and independence assumption; no particular run is guaranteed or universally normal.
How it fails
- Treating a round-number exit or a volatility multiple as guaranteed protection. Compare alternative distances and include gaps and costs.
- Holding through earnings on a full-size position because 'it should beat'. Compare several explicitly hypothetical exposures and gap outcomes before reviewing the original thesis.
- Adding to a losing swing. Averaging down converts a defined-risk trade into an undefined one, and can increase exposure while the original thesis weakens.
Practising Swing Trading safely
When reviewing a Swing Trading practice trade, compare the rule you planned with the action you recorded. The first pitfall above is a useful review question:
Treating a round-number exit or a volatility multiple as guaranteed protection. Compare alternative distances and include gaps and costs.
Educational simulation only — not financial advice.
Educational simulation only — not financial advice. TradeHQ is a free educational paper-trading simulator. No real money is traded and no content here is a recommendation.