Designing Entry Signals
The trigger that puts you in. Keeping it simple enough to survive out of sample.
The entry signal is the specific, objective condition that triggers a trade — the “when do I get in?” The temptation is to make entries elaborate and clever; the wisdom is to keep them simple enough to survive out-of-sample.
The counter-intuitive truth most beginners get backwards: entries matter far less than people think, and elaborate entries usually hurt. Traders pour energy into the “perfect” entry, stacking condition upon condition — but every extra rule is another chance to overfit (Module 3), and the gains from a fancy entry are usually tiny compared to what *exits and position sizingDeciding how much to bet on each trade or holding.* contribute. A simple, robust entry that captures the core of your edgeA repeatable, structural reason your trades win over time. (e.g. a moving-average cross or a momentumBuying recent winners and avoiding recent losers.-rank threshold) tends to survive on new data precisely because it didn’t memorise the past’s noise. So design entries to be *simple, objective, and tied to your named edgeA repeatable, structural reason your trades win over time.* — and resist the urge to add filters that merely prettify the backtestTesting a trading strategy on historical data.. The goal of an entry isn’t perfection; it’s a sturdy trigger that still works on data it’s never seen.
- Keep it simple — a few clear conditions tied to your edgeA repeatable, structural reason your trades win over time.; each added rule risks overfitting (Module 3).
- Entries are overrated — exits and sizingDeciding how much to bet on each trade or holding. usually contribute far more to results than entry cleverness.
- Tie it to the edgeA repeatable, structural reason your trades win over time. — the signal should follow from why your strategy works, not from data-mined coincidences.
- Robustness over precision — a simple entry that survives out-of-sample beats an intricate one tuned to the past.
ExampleA momentumBuying recent winners and avoiding recent losers. strategy’s entry can be as simple as “buy when 6-month return ranks in the top decile, at next open.” Adding five extra confirmation filters (RSI bands, volumeThe number of shares or contracts traded in a period. thresholds, candlestickA chart bar showing a period’s open, high, low and close. patterns) might lift the *backtestTesting a trading strategy on historical data. a little — but it usually lowers* live performance by overfitting. The plain entry, tied to the real momentumBuying recent winners and avoiding recent losers. edgeA repeatable, structural reason your trades win over time., is the one that endures.
Key takeawayThe entry signal triggers the trade — keep it *simple, objective, and tied to your named edgeA repeatable, structural reason your trades win over time.*. Entries matter less than exits and sizingDeciding how much to bet on each trade or holding., and elaborate entries usually overfit. A sturdy, plain trigger that survives out-of-sample beats a clever one tuned to the past.
FAQs
Should I add filters to improve my entry?
Only if each filter has a *real reason* tied to your edge and survives out-of-sample testing — not just because it improves the historical curve. Most added entry filters are overfitting in disguise. Before adding one, ask whether it reflects a genuine mechanism or merely fits past noise; when in doubt, leave it out.