Utility · MT5

Spread Slippage Monitor

by easaikyo-netizen

Spread Slippage Monitor is a diagnostic utility for MetaTrader 5 that tracks broker performance metrics.

GitHub stars1
Forks0
Last update2 months ago26 Jun 2026
LicenceNone stated

Overview

Spread Slippage Monitor records real-time spread data at regular intervals and exports the information to a CSV file. The tool features an optional slippage measurement function that executes a market order and immediately closes it to compare requested prices against actual fills. It includes a Python script for generating visual charts from the logged data, highlighting spread spikes and execution delays. This expert advisor is designed for analysis rather than profit-seeking trading.

Details

Author

easaikyo-netizen on GitHub

Type

Utility

Platform

MetaTrader 5 (MQL5)

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.

Input parameters

Read from SpreadSlippageMonitor.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
InpWriteIntervalSecondsint10CSV書き出しの間隔(秒)
InpSimulateTradeSlipbooltrue起動時にテスト注文(即決済)してスリッページを計測するか

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone easaikyo-netizen/mql5-spread-slippage-monitor from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
  3. 3Copy the filesCopy the .mq5 file into Experts.
  4. 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
  5. 5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.

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