How to Import FxPro Trades into PipJournal

FxPro is one of the most widely used retail forex brokers, offering MT4, MT5, and cTrader across its platform lineup. If you have closed trades sitting in your FxPro account history, this guide walks you through exporting that data and loading it into PipJournal so you can start analyzing your performance. This guide is written for beginner-to-intermediate traders who are setting up their journal for the first time.

Step 1: Export Your Trade History from FxPro

The export process depends on which FxPro platform you trade on.

MT4 or MT5 (most common):

1. Open FxPro MT4 or MT5 on desktop.
2. Go to the Terminal panel at the bottom of the screen and click the Account History tab.
3. Right-click anywhere in the trade list and select Save as Report (HTML) or Save as Detailed Report.
4. Choose a save location and keep note of the file name.

Alternatively, log into FxPro Direct (the web portal) and navigate to My Accounts > Account Statement. Select your date range — up to 90 days at a time — and download as CSV.

cTrader:

Open cTrader, go to History, set your date range, and click the export icon in the top-right corner to download as CSV. See also: how to import cTrader trades.

For MT4-specific formatting details, refer to the MT4 import guide.

Step 2: Format the Export File

Before uploading, do a quick check on the file:

• Open it in a spreadsheet (Excel or Google Sheets).
• Confirm these columns exist: Ticket, Open Time, Type (Buy/Sell), Size (lots), Symbol, Open Price, Close Time, Close Price, Profit.
• Remove any summary rows at the top or bottom — footers showing “Net P&L: $1,234” will cause parse errors.
• Check that the date format is consistent. FxPro exports typically use YYYY.MM.DD HH:MM:SS — PipJournal handles this format natively.

For MT5 HTML reports: save the .htm file as-is. Do not convert it to CSV manually — PipJournal’s MT5 parser reads the raw HTML table structure.

Step 3: Import the File into PipJournal

1. Log into PipJournal and go to Settings > Import Trades.
2. Under Broker, select FxPro from the dropdown. Choose the correct sub-type: MT4, MT5, or cTrader.
3. Click Upload File and select the file you exported in Step 1.
4. PipJournal will preview the first 10 rows. Verify that symbols, lot sizes, and open/close prices look correct before confirming.
5. Click Import. Depending on file size, this typically takes under 10 seconds for up to 500 trades.

If the preview shows blank rows or garbled data, the file likely contains a summary header. Return to Step 2 and clean the file.

Step 4: Review and Tag Imported Trades

After import, spend 5-10 minutes auditing the data before treating it as reliable:

• Pip values: Spot-check 2-3 trades against your FxPro statement. A 10-pip move on 0.10 lots of EUR/USD should equal $10.00. If numbers are off by a factor of 10 or 100, the pip multiplier needs adjusting under Settings > Account Preferences.
• Timestamps: FxPro reports use the broker’s server time (GMT+2 or GMT+3 depending on DST). Confirm this matches your session labels in PipJournal.
• Tags: Apply tags for setup type, session (London, New York, Asian), and strategy. This unlocks filtering in the analytics dashboard — for example, filtering by “London session” to see if your edge holds across time zones.

See the full trade journaling guide for a complete tagging framework.

Pro Tips

• Export in 30-day blocks rather than a single 90-day export. Smaller files parse faster and are easier to audit for anomalies.
• If you run multiple FxPro accounts (e.g., a live account and a prop challenge account), create separate account labels in PipJournal before importing — merging them later is tedious.
• FxPro MT4 reports include swap charges as a separate line item. PipJournal rolls these into the net P&L automatically, so you don’t need to strip them out.
• For cTrader exports, the volume column is in units, not lots. 100,000 units = 1 standard lot. PipJournal handles the conversion, but it’s worth knowing if you’re cross-referencing manually.
• After import, use the weekly trade review process to turn raw data into actionable insights within the first session.

Common Mistakes to Avoid

1. Importing the HTML report as a renamed CSV. Changing the file extension from .htm to .csv does not convert the format — PipJournal will fail to parse it. Use the correct file type for your platform.

2. Ignoring the date range on the export. If you only export the last 30 days but have 6 months of trades, your analytics will show misleading win rates and drawdown figures. Export the full available history from day one.

3. Skipping the pip value audit. JPY pairs (USD/JPY, EUR/JPY) have pip values approximately 100x smaller than other majors. A misconfigured multiplier will show a 10-pip loss as a $1,000 loss. Always verify two or three trades manually against your broker statement.

4. Not mapping the account currency. FxPro accounts can be denominated in USD, EUR, or GBP. If PipJournal is set to a different base currency than your account, all P&L figures will be converted incorrectly. Set the account currency at the start of the import flow.

5. Re-exporting and re-importing without checking for overlaps. If you exported January–March and then export February–April, you will have February and March trades in two files. PipJournal deduplicates by ticket number, but confirm this in the import preview before proceeding.

How PipJournal Helps

Once your FxPro trades are imported, PipJournal’s analytics dashboard breaks down your performance by symbol, session, lot size, and trade duration — data that FxPro’s own reporting does not surface. The tag filtering system lets you isolate, for example, all EUR/USD trades taken during the London session over the last 90 days to measure your edge on that specific setup. The position size calculator and drawdown tracker work directly off your imported trade data, so all numbers stay consistent with your actual history. For traders running prop firm challenges on FxPro, PipJournal’s multi-account view lets you track live drawdown across accounts side by side — see how to track multi-account prop firms for setup details.