Public accounts & trading statistics
In this tutorial, we will publish a clearly labelled demo profile, explore its public statistics, and check the headline numbers against individual trades. You will learn what growth, drawdown, win rate and profit factor actually describe, where to inspect the history, and what a small sample cannot tell you. Every trade shown comes from a real broker demo account.
How it works
Start from your terminal: In the control panel, find the connected account you want to inspect. Open its Actions menu, then choose Show details. This is where the public profile controls live. You can also open Trade Stats and Analytics directly from Actions to inspect an account before publishing it. For this walkthrough, we are using an existing demo account. Its Expert Advisors are stopped, and we will not place any new trades.
Give the public profile a clear identity: In Public Profile, choose a name that tells visitors what they are looking at. Ours is Tutorial Demo, Statistics. We have set the profit share to zero for this demonstration. Publishing makes the profile appear on the copy trading leaderboard and creates a public link. Review the sharing explanation before you publish. The public view masks the account login and hides the terminal identifier, private comments and open positions. Those details still belong in your private control panel.
Use filters before comparing accounts: Open Copy Trading to see public accounts. Start with the search and platform filters, then consider a minimum number of trades and a maximum drawdown. Rank by changes the order of the list. It does not turn a high ranking into a recommendation. History length matters: nineteen trades over a short period are useful for explaining the interface, but much too little evidence to judge a strategy across different market conditions.
Open the profile, then Full statistics: Choose Details to open the account profile. The summary gives you growth, drawdown, win rate, profit factor and the number of trades. Full statistics opens the detailed report for the current broker account, covering up to the last twelve months. Public figures are refreshed every few minutes, so allow for a delay after a new trade closes. If a profile has moved between accounts, read the history note: not every headline covers the same period.
Read the outcome before the ratios: Our real demo history contains nineteen closed trades: seven winners, ten losers, and two break-even trades. A break-even trade belongs in the total, but it is neither a win nor a loss. That makes the win rate seven divided by nineteen, or thirty-six point eight percent. Net profit is forty-seven cents after trade costs. Balance and equity are both one hundred thousand dollars and forty-seven cents because this account currently has no floating profit or loss.
Reconcile the profit factor: Now check the arithmetic. The winning trades add up to eighty-one cents. The losing trades total thirty-four cents. Subtract the losses and you get forty-seven cents net profit. Profit factor divides gross wins by gross losses, giving two point three eight. This explains how an account can have a win rate below fifty percent and still show a positive result. Profit factor is a ratio, not a growth percentage, and these tiny demo amounts are not a forecast of future performance.
Separate cash flows from trading returns: Charts and Drawdown puts the result in context. Deposits are not trading profits, and withdrawals are not trading losses. Growth adjusts for those cash flows. Drawdown measures a decline from a previous peak; check both the money amount and percentage. On a hundred-thousand-dollar demo account, a small loss can be less than zero point zero one percent without being zero. These curves are reconstructed from available history and valuation points. They are not a complete record of every intraday equity movement.
Check where the result came from: The Symbols tab breaks the result down by instrument. Here, every closed trade is in euro against the US dollar, so there is no evidence of diversification across symbols. Sessions and Timing shows when trades were opened and how results vary by weekday or holding time. Read the time basis shown by the interface. With only nineteen trades, a profitable hour or weekday can easily reflect a few isolated outcomes. Use these views to ask questions, then inspect the underlying trades.
Verify the individual trades: Open Trades to see the individual closed records. The ticket identifies the trade; the row also shows its symbol, direction, volume, entry and exit prices, duration, and net profit or loss. Search narrows the visible records, and the type filter separates buys and sells. Use the page controls when the history spans more than one page. Export CSV is available for a closer review outside the browser. Always reconcile the same account, date range and set of closed trades when comparing results.
Read advanced metrics with their definitions: Risk and Quant adds advanced measures, but their definitions matter. The Sharpe figure here compares average net profit per trade with its sample standard deviation. It is not an annualized return measure. The runs test looks at the sequence of wins and losses, excluding break-even outcomes. GHPR uses a hypothetical position-sizing model; it is not the growth actually observed in this account. Open the question-mark help when a metric is unfamiliar. A small sample makes these figures especially sensitive to individual trades.