Day Trading

What it is

Opening and closing all positions within a single session.

Day trading usually means opening and closing positions within the same trading day. If a position is fully closed, it has no later overnight exposure, but an intended close is not guaranteed during a halt, outage or loss of liquidity. A short holding period does not make a position low risk. Frequency, costs, execution and behavior all affect the outcome.

Market conditions that matter

Ranges, spreads and traded volumes differ across sessions and events. Selecting only sessions that later looked favorable creates selection bias. A meaningful comparison records its dates, includes unfavorable cases and uses information available before each hypothetical decision.

Study context

A study of same-session accounting and transaction costs, rather than a recommendation for full-time activity.

Limitations

Repeated orders add costs and operational demands. Closing by a chosen time is an assumption that can fail during a halt or outage.

The steps

• Define a hypothetical session window and identify the relevant venue and calendar.
• State an entry and exit rule in advance, using only calculations available in the chosen data source.
• Calculate how repeated fees and worse fills change the same gross price outcome.
• Record whether the hypothetical exit occurred. Do not assume an outage or trading halt permits a closing transaction.

Worked example

Hypothetical worksheet, not an observed trade: Long SPY at VWAP reclaim, stop below VWAP, target the day's prior high. Stop and target levels are conceptual assumptions, not resting TradeHQ orders; gaps and fees can change the result.

The numbers behind it

Hypothetical arithmetic: fixed realized 52% wins at 1.5R and 48% losses at 1R give 0.30R gross expectancy. An arbitrary 0.5% of $100,000 is $500, so expectancy is $150 per trade and $750 across five trades before costs. This is an input-based worksheet, not observed returns or a slippage estimate.

How it fails

• Assuming a particular hour or chart pattern guarantees a favorable range.
• Presenting an intended stop or session loss threshold as an enforced maximum loss.
• Inferring a trader’s emotional state or the next outcome from the number of recent losing trades.

Scope and source limitations

There is no dependable universal win-rate range. Evaluate the method by expectancy, drawdown, costs and consistency across a larger sample.

Educational simulation only — not financial advice.