MetaTrader 4 Trade History Export and Analysis: Complete Guide

MT4 offers two practical export methods:

**Account History Report (HTML).** This is the built-in export. In MT4, open the Terminal window (Ctrl+T), click the Account History tab, right-click anywhere in the history list, and select 'Save as Report.' MT4 saves an HTML file that includes all closed positions with entry/exit prices, lot sizes, profit, swap, and commission.

**CSV via Expert Advisor or script.** For automated or recurring exports, you can use a simple MT4 script that writes trade history to a CSV file. If you are comfortable with MQL4, this gives you a cleaner format than the HTML report.

For most traders, the HTML Account History Report is sufficient. Many trading journals can parse the MT4 HTML report format directly.

Understanding what fields the MT4 report exports is important for knowing what analysis is possible downstream:

**Symbol** — the instrument traded (e.g., EURUSD, GBPJPY, XAUUSD) **Open/Close Time** — timestamp with date and time for both entry and exit **Type** — Buy or Sell (direction) **Lot Size** — position size in standard lots **Open Price / Close Price** — entry and exit prices **S/L and T/P** — stop loss and take profit levels (if set) **Profit** — PnL in account currency **Swap** — overnight interest cost or credit **Commission** — if your broker charges per-lot commissions (ECN accounts)

Notably absent: the reason for the trade (your setup), behavioral state, any pre-trade plan. These must be added by your journal system after import.

The MT4 built-in summary shows aggregate stats — total profit, total trades, win rate, average win/loss, largest win/loss, and consecutive win/loss streaks. These are a starting point, but they are too aggregated to drive improvement.

The four analyses that change forex trading behavior:

**By session.** London session, New York session, and Asian session produce very different price behavior. Segment your trades by session time and compare win rate and average R. Most traders have a clear best session and a clear worst session.

**By pair.** Do you perform better on major pairs or minors? Do your losses cluster on a specific pair — often one where you are less practiced in reading price structure?

**By day of week.** Monday and Friday often show lower-quality setups as institutional flow is positioning or unwinding. If your data shows negative expectancy on Mondays, that is a tradeable insight.

**By setup type.** If your strategy has multiple setups (e.g., trend continuation vs. reversal), segment PnL by setup. One will likely dominate your edge; the other may be costing you.

The workflow:

1. Export your Account History from MT4 as HTML 2. In your trading journal, navigate to the import section and select MetaTrader 4 / MT4 as the platform 3. Upload the HTML file 4. Preview the import — verify that symbols are recognized, lot sizes are correct, and PnL is denominated in the right currency 5. Confirm the import

For Tiltless: navigate to Connections → Import → MetaTrader 4. Upload the HTML report. Tiltless will parse the fills, convert lot-based sizing to pip-value PnL, and allow you to add behavioral tags and setup names post-import.

A common issue: if you trade a non-standard account (cent account, or an account denominated in a currency other than USD), verify that the PnL currency is handled correctly. MT4 reports PnL in account currency; your journal may need to know the account currency to convert correctly.

MT4's built-in analysis stops at aggregates. The analysis that drives improvement requires:

**Behavioral context.** Was each trade reactive or planned? What was your emotional state before entry? MT4 cannot tell you this — you have to add it. Even a simple planned/reactive tag on your imported trades will reveal patterns within 30 days.

**Setup-level expectancy.** Not 'my overall win rate is 52%' — but 'my trend continuation setup has 58% win rate and positive R-expectancy, while my reversal setup has 44% win rate and is net negative.' This requires a setup tag on every trade.

**Session-specific behavioral leaks.** Does your FOMO rate spike in the New York open? Do you revenge trade more after losing London session trades? This level of analysis requires behavioral tags combined with session segmentation — and it is not available in MT4 at all.