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.