Algo Trading Space, the algorithmic trading education and software platform operated by EA Academy LTD, has released Portfolio Builder, a browser-based planning tool for traders who run several expert advisors across their own trading accounts and accounts funded by proprietary trading firms. Available now to anyone with an Algo Trading Space account, the application is built around two practical questions that become harder to answer as a trader adds strategies: which expert advisor belongs on which account, and how much each account could lose when those strategies draw down together.

At the centre of the tool is a figure the company calls the pain limit, the maximum drawdown a trader is prepared to accept, expressed as a share of equity and set either for the whole portfolio or separately for each account. Every account in a plan appears as a card showing its expected monthly return, an estimated drawdown with a range around it, the amount of money at risk and the minimum equity required, and each card is marked as within, close to or over the limit. When an account exceeds its threshold, the software proposes specific corrections, such as adding a stated amount of capital or reducing risk by a stated proportion.

Portfolio Builder draws on two main sources of information. Live MetaTrader 4 and MetaTrader 5 accounts followed in the company’s Account Tracker are imported and divided into their individual expert advisors, while backtests can be added by uploading MetaTrader 5 Strategy Tester reports, ideally together with the tester’s graph export so that drawdown calculations include trades that were still open. Members of the company’s VIP Club can also use a third source: the library of live accounts run by the Algo Trading Space team, which numbered 141 when the company last reported the figure, giving traders a way to see how established strategies might combine with their own.

Drawdown estimates are calculated from closed trades grouped by day and measured together across the period the strategies share, using the sizing currently applied, so the result reflects how the systems behaved side by side rather than in isolation. Within each account, capital is divided among expert advisors using hierarchical risk parity, a method that assigns a smaller allocation to more volatile strategies. A correlation heatmap shows which robots tend to win and lose on the same days, a pattern that often explains why a portfolio of individually acceptable systems can produce a deeper combined drawdown than any one of them.

The overview screen brings together a combined equity curve, a drawdown chart drawn against the pain limit, and summary figures including return, maximum and longest drawdown, Sharpe, Sortino and Calmar ratios and profit factor. A separate statistics page breaks drawdown and return down by account, expert advisor, symbol and platform. For traders weighing a single addition, a focus mode ranks candidate expert advisors for one account and previews how its figures would look before and after a robot is added.

Traders working on prop-firm challenges can enter the firm’s maximum drawdown and daily loss limit into a Position Sizer, which then recommends lot sizes or a risk multiplier for each expert advisor based on a chosen share of the pain limit. The feature is intended to help traders keep combined exposure inside rules that typically end a funded account the moment they are breached, a risk that grows when several strategies trade at once.

A stress test reshuffles a portfolio’s own trading days in blocks to produce 2,000 resampled paths over a horizon of three, six or twelve months, estimating the likelihood of reaching the pain limit and of finishing below the starting balance. The company describes the result plainly as resampled history rather than a forecast, and notes that it cannot include outcomes worse than anything contained in the trader’s own record. A replay function plays combined equity and drawdown back day by day, with markers for new drawdown lows, crossings of the pain limit and the single worst day.

The working process follows four steps. A trader signs in and imports accounts and backtest reports, sets a pain limit, then either duplicates an automatically generated Current State portfolio, which mirrors what is running in Account Tracker, or starts a new plan and drags expert advisors onto accounts. The final step is reviewing combined equity and correlation, adjusting sizing, and running the stress test and replay before any change is made to a live account. Saved portfolios can be compared four at a time, and the interface is available in English, German, Spanish, Chinese and Arabic.

The application is aimed at traders running several expert advisors on one account, traders attempting prop-firm challenges, traders evaluating robots before deploying them, and existing Account Tracker users. It does not place orders or generate trade signals, and it is not suited to those looking for picks made by someone else; support for MetaTrader 4 backtest reports has not yet been added. The company states that the tool shows how selected strategies performed in the past and how they might combine, that past results and backtests do not guarantee future returns, and that trading carries a risk of losses that can exceed the initial investment.

“Traders rarely get hurt by one robot; they get hurt when three or four robots that looked fine on their own all lose in the same week, on an account with a hard drawdown rule,” said a spokesperson for Algo Trading Space. “We built Portfolio Builder to plan our own accounts, and we still rely on it for that, because it shows the combined picture and the realistic downside before money is committed rather than after.”

Algo Trading Space is an algorithmic trading education and software platform operated by EA Academy LTD, a company registered in Bulgaria. It was established in 2025 by Petko Aleksandrov, a professional trader since 2013 who founded EA Trading Academy in 2016, and its team of traders, mentors and researchers, led on the technical side by chief technology officer Marin Stoyanov, trades its own accounts while developing software including Account Tracker, Backtest Manager, TradeOS and Portfolio Builder. The company provides courses, mentoring, a community forum and a catalogue of expert advisors for traders who build, test and run automated strategies on MetaTrader, and it is not registered as an investment adviser, broker or dealer.

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For more information about Algo Trading Space, contact the company here:

Algo Trading Space
Marin Stoyanov
support@algotradingspace.com
1 Novoseltsi Blvd
Elin Pelin, 2100
Bulgaria