Updated: 2026-02-20
In trading, Price improvement is getting a better execution price than the quoted best bid/ask at the time of the order. This glossary entry explains why price improvement matters, how traders use it, and how to track it with evidence instead of vibes.
Quick definition
Price improvement: getting a better execution price than the quoted best bid/ask at the time of the order.
Price improvement is getting a better execution price than the quoted best bid/ask at the time of the order. The practical version is: can you define it as a field you can log and audit later?
Most trading terms become confusing when they are used as vibes instead of variables. Your goal is a definition that helps you decide size, stop, entry timing, or whether to skip the trade.
Traders sometimes confuse Price improvement with slippage. Treat them as separate variables in your journal so your reviews stay honest.
Price improvement is the opposite of slippage. If your execution regularly gets improvement, your costs are lower and your expected value improves, especially for high-frequency strategies.
If Price improvement never changes your decision, it is just jargon. The term earns its place when it improves your process consistency under real market pressure.
A useful mental model: plan first (risk and invalidation), execute second (order type and fills), review last (tags and metrics).
Use it to make one decision pre-trade. Example decisions: where the stop goes, whether to take partials, how to scale size, or whether conditions are too thin to trade.
Write the rule in one sentence, then run it consistently for a week. Consistency matters because it creates comparable data for review.
If the rule fails, adjust slowly. Do not rewrite the whole system after one bad session.
Record mid price or NBBO at order time and compare to your fill price. Track improvement in bps and frequency. Separate improvement on entries vs exits.
Use tags so you can slice results by regime and behavior state. The same term behaves differently when volatility changes or when you are fatigued.
Your review question should be binary: did this variable improve outcomes or reduce rule breaks? If not, simplify.
The ask is 100.10 but you get filled at 100.08 due to hidden liquidity. That 2 bps improvement compounds across thousands of trades.
The point of an example is not to predict price. It is to show what you would log before the trade and what you would audit after the trade.
Assuming improvement means you are 'right'; it's just execution quality, not a signal.
The fastest way to improve price improvement is to remove one failure mode at a time. If you try to fix everything, you will fix nothing.
Price improvement matters most when volatility is high and the book is thin. That's where small execution errors compound into expectancy drag.
Before you trade, decide what matters more: price control (limits) or fill certainty (markets/stops). Then trade the choice consistently for one week so your data is comparable.
If you change order types every time you feel stressed, your metrics will lie to you.
Price improvement is getting a better execution price than the quoted best bid/ask at the time of the order. In practice, it matters when it changes a concrete decision like size, stop placement, or whether you skip a trade.
They are related but not identical. In your journal, track Price improvement as its own variable and treat slippage as a separate context factor so you can audit each cleanly.
Record mid price or NBBO at order time and compare to your fill price. Track improvement in bps and frequency. Separate improvement on entries vs exits.
Assuming improvement means you are 'right'; it's just execution quality, not a signal.
See plans and run one weekly review loop with Tiltless: edges, leaks, and enforceable next actions.
