Here is a question that keeps algorithmic traders up at night — and rightfully so. Choosing between intraday and end-of-day execution sounds like a technical footnote, but it can quietly determine whether your edge survives contact with real markets or evaporates the moment you press go. The gap is real, it is measurable, and most traders underestimate it badly.
The direct answer is this: neither model is universally superior. Intraday execution gives you price precision and the ability to react to intraday dislocations. End-of-day execution gives you simplicity, lower operational overhead, and often surprisingly competitive fill quality on liquid ASX names. The right choice depends entirely on your strategy's holding period, turnover rate, and your honest assessment of your infrastructure.
Think of it like ordering coffee. Intraday execution is ordering from a busy city café at 8:47am — you get exactly what you want, but the queue, the noise, and the premium price are all baked in. End-of-day is the same café at 3pm — quieter, faster, and the barista actually has time to get your order right. The analogy holds because ASX intraday spreads and market impact during the opening rotation are genuinely punishing for smaller algorithmic accounts.
Research published on SSRN and in the Journal of Trading has consistently shown that for mean-reversion strategies with holding periods above two days, the execution cost drag from intraday trading can consume between 15% and 40% of gross alpha. On the ASX, where bid-ask spreads outside the ASX 100 can be wide and market depth thin, that drag compounds quickly. End-of-day execution — typically targeting the closing auction — benefits from concentrated liquidity, tighter effective spreads, and price discovery that is genuinely representative of fair value. For momentum strategies with shorter holding periods, however, intraday execution often recaptures that cost through better entry timing. The right framework is to measure your strategy's implementation shortfall explicitly rather than assume one model wins. Understanding market microstructure is what separates traders who model this correctly from those who discover the problem live. And if you want a rigorous framework for thinking about algorithmic execution quality, start with transaction cost analysis before you touch signal design.
The practical takeaway you can use today: run your strategy's historical signals through both execution assumptions — intraday mid-price and closing auction price — and compare the realised return difference. If end-of-day fills produce 80% or more of the intraday return, the operational simplicity of the closing auction wins every time.
Your execution model is not a back-office decision. It is a performance decision — so make it with the same rigour you give your signals.
This content is for educational purposes only and does not constitute financial product advice. Past performance is not indicative of future results. Profit Logic Ltd (ACN 688 669 936) accepts no responsibility for errors or omissions in this content or anywhere on this website. Always seek advice from a licensed financial adviser before making investment decisions.