Ask a room full of algo traders what makes their system work and almost every hand points to the same thing — the entry condition. The setup. The signal. The magical confluence of indicators that tells you when something is happening. It's the part everyone talks about, backtests obsessively, and argues about on forums at midnight. And it's only half the story.

The distinction between an entry condition and entry timing sounds like splitting hairs until you realise it's the difference between a strategy that prints and one that perpetually breaks even. The condition answers "what has to be true?" — the timing answers "exactly when do I pull the trigger once it is?" Conflating these two is like knowing you want to cross a busy road but never actually watching the traffic before you step off the kerb.

CONCEPTEntry condition = what must be true. Entry timing = the precise moment you act on it. Both need their own rules.
WARNINGBacktesting on bar-close prices hides timing slippage — your live fills will rarely match what the test assumes.
KEY IDEAA mediocre condition with sharp timing often outperforms a sharp condition with sloppy timing.

Here's a concrete example. A momentum condition fires — price closes above a 20-day high on rising volume. That's the condition met. But when do you enter? At the next open? On a pullback to the breakout level? On a limit order mid-session? Each choice produces a materially different average entry price, fill rate, and therefore a completely different equity curve — even though the condition is identical across all three.

Equity Curve by Entry Timing Method0+5%+10%+15%Limit/PullbackNext OpenMarket Chase

Think of it like buying concert tickets. The condition is "I want to see this band." The timing is whether you buy the moment sales open, wait for resale dips, or panic-buy the night before at triple the price. Same desire, wildly different outcome. Experienced algo traders treat timing as a separate, testable module — not an afterthought bolted onto the signal logic. Resources like algorithmic trading frameworks on Investopedia, deeper academic work on execution mechanics via Wikipedia, and research into slippage and market impact on Investopedia all point to the same conclusion: execution timing is where edge gets made or lost.

So here's your practical takeaway — take your best existing signal, then backtest it with three different timing rules independently. Compare the results. The spread in performance you'll see isn't noise. That's the cost, or the gift, of timing.

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.