{"id":52543,"date":"2025-04-23T07:36:01","date_gmt":"2025-04-22T23:36:01","guid":{"rendered":"http:\/\/test.swqi.tw\/?p=52543"},"modified":"2025-12-03T03:43:41","modified_gmt":"2025-12-02T19:43:41","slug":"mt5-99-percent-historical-data-import-guide","status":"publish","type":"post","link":"https:\/\/mister.forex\/en\/mt5-99-percent-historical-data-import-guide\/","title":{"rendered":"MT5 Historical Data Import Guide: Use Tick Data to Improve Backtesting Accuracy"},"content":{"rendered":"
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Pursuing Ultimate Backtesting Accuracy: Inject 100% Historical Tick Data into Your MT5<\/strong> <\/h2>\n\n

Introduction: Data Quality Determines Backtesting Success<\/strong> <\/h2>\nAs introduced in our previous articles, verifying and optimizing EAs (Expert Advisors) using MT5 is an indispensable step.

\nHowever, the reliability of backtesting results is closely related<\/strong> to the quality of the historical data you use.

\nMT5 provides a powerful backtesting engine, including modes based on \"Every tick\" and even \"Every tick based on real ticks<\/strong> \", the latter offering the closest simulation to real market conditions.

\nTo fully leverage this mode's potential, you must have high-quality, high-precision historical tick data, ideally reaching 100% data quality<\/strong>.

\nOften, the historical data provided by brokers' MT5 platforms by default, or downloaded from the History Center, may not be complete tick-level data or may have gaps, resulting in backtesting quality (shown as \"Quality<\/strong> \" in MT5 backtesting reports) not reaching 100%<\/strong>.

\nThis means backtesting results may not fully reflect the subtle performance of strategies in a real tick environment, especially for short-term or scalping strategies<\/strong> that are very sensitive to price fluctuations.

\nSo, how can you obtain and use 100% quality<\/strong> historical data for your MT5? Below are two common approaches.

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Method 1: Manually Prepare and Import High-Quality Tick Data (e.g., Using Dukascopy Data)<\/strong> <\/h2>\nDukascopy Bank<\/strong> is well-known for providing long-term and relatively high-quality free historical tick data, making it one of the data sources for many professional traders.

\nTo use this data for MT5 backtesting, the following steps are usually involved: 

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Data Acquisition<\/strong> <\/h3>\nYou need to use third-party tools (such as Tickstory, specialized download scripts, or other software) to connect to Dukascopy's data source, select the trading instruments and time ranges you need, and download the raw tick data. These data are usually stored in specific formats (such as CSV<\/strong>).

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Data Conversion and Organization (Technically Challenging)<\/strong> <\/h3>\nThis is the most challenging<\/strong> step. MT5 uses its specific format<\/strong> to store tick data (usually located in the MT5 installation directory under bases\\[server name]\\ticks\\[instrument name] folder, with the format .hcc<\/strong>).

\nYou need to convert the raw data downloaded from Dukascopy into a format that MT5 can recognize and use. This often requires specialized tools or scripts<\/strong> and ensuring that timestamps, price precision, etc., meet MT5's requirements.

\nDirectly importing CSV files as MT5 tick data is not as straightforward as importing candlestick data.

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Importing into MT5 (Requires Cautious Operation)<\/strong> <\/h3>\nPlace the converted tick data files into the corresponding MT5 data folders. This process requires in-depth understanding<\/strong> of MT5's file structure, and improper operation may even affect platform stability<\/strong>.

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Advantages<\/strong> <\/h3>\n