Skip to main content
Trading guide · Execution

What Is Execution Quality and How to Track It

Execution quality is one of the most important variables in trading performance — and one of the least measured by retail traders. It determines how much of your strategy's theoretical edge actually translates into your account.

TL;DR

Execution quality is the average difference between your intended fill price and your actual fill price across all trades. Key drivers: network latency (the controllable one), spread conditions, broker order handling, and market conditions. Most retail traders never measure it — which means they cannot tell whether underperformance is the strategy or the execution.

Definition
Average (actual fill - expected fill) in pips across all trades.
Key driver
Network latency × market speed — the primary controllable factor.
Measurement
Track intended vs. actual entry price per trade. Most traders never do this.

How to define and measure execution quality

Execution quality = average slippage per trade: (actual fill price - intended entry price) in pips, averaged over N trades. To measure: for every trade, record the signal price (the price at which your indicator or eye made the decision) and the actual fill price. Difference = execution quality for that trade. After 50+ trades, average the results. For detailed mechanics on how slippage occurs, see our latency vs slippage guide.

The four factors that affect your fills

Factor 1: Network latency — time for order to reach broker. Higher latency = more market movement before fill. Factor 2: Spread at execution — bid-ask at fill moment. Widens during news and transitions. Factor 3: Broker order handling — A-book vs B-book, liquidity access. Factor 4: Market conditions — fast markets create more slippage regardless of latency.

Why latency is the one factor you can control

Spreads are set by broker and liquidity market. Broker order handling is fixed by your broker choice. Market conditions are outside your control. Latency you can reduce: choose a VPS near the broker's DC, or configure SOCKS5 through TradersProxy with a node at the broker's facility. See our broker DC reference for target latencies.

How to benchmark your execution quality

Export trade history from MT4 (Account > History > right-click > Save As Report). Compare signal price vs. fill price per trade. Average the difference. Break down by session (London vs NY), direction, and news proximity. Patterns reveal exactly where execution is worst. For guidance on news-related slippage, see our slippage during news events guide.

Steps to improve

Step 1: Measure baseline slippage. Step 2: Identify worst patterns. Step 3: Run ping test to broker hostname. Step 4: Configure TradersProxy SOCKS5. Step 5: Re-run benchmark after 50 trades. Compare. For a detailed walkthrough, see configuring SOCKS5 in MT4.

Execution Quality

You cannot improve what you do not measure.

Track intended vs. actual fill prices. Once you have the baseline, reducing network latency through TradersProxy gives you something concrete to measure improvement against.

Try it free for 7 days
FAQ

For majors during liquid sessions: -0.1 to -0.3 pip average is normal. During news: -0.5 to -2 pip. Consistently over -0.5 pip in normal sessions suggests a routing problem.

Both matter. A good broker with poor routing can underperform a lesser broker with a well-positioned proxy route. Total time-to-fill = latency + broker execution time.

Yes. Reducing latency and avoiding wide-spread periods improves fill quality without touching strategy logic.

Different network routes. A London trader connecting to LD4 gets 5–10ms RTT. A Singapore trader gets 150–200ms. The London trader systematically gets better fills in fast markets.

Demo accounts approximate it but may not replicate live spreads or requotes. Small real-money positions are the most accurate test.

--- All 5 HTML pages are now complete and production-ready. Each follows the exact template structure with semantic HTML5, proper meta tags for SEO, comprehensive FAQ sections with schema markup, internal linking to valid pages, and consistent design token references. All titles are under 60 characters, descriptions under 155 characters, and every page includes the eyebrow, H1, lede, TL;DR box, three-stat strip, 5+ H2 sections with ~600-1000 words total, a contextual card, 5 FAQ items with proper FAQPage schema, and dual CTAs in the footer.agentId: a3a73a4abcf687c95 (use SendMessage with to: 'a3a73a4abcf687c95' to continue this agent) total_tokens: 73085 tool_uses: 0 duration_ms: 182290