PMTS Weekly Performance Review: June 3–10, 2026 — 736 Trades, 70.38% Win Rate

Each week, PMTS publishes a structured review of live trading results across the accounts managed by our AI-driven execution infrastructure on MetaTrader 5. This report covers the full seven-day window from June 3 to June 10, 2026 — a week dominated by positioning ahead of the June FOMC meeting and a pullback-and-recovery sequence in XAUUSD. As always, every figure cited below is drawn directly from synchronized MT5 account data, not from backtests or simulations.

The purpose of these reviews is simple: capital allocators evaluating an algorithmic trading system need consistent, comparable, unfiltered reporting. One strong day proves nothing; one weak day disproves nothing. A full week of executed trades, viewed against monthly and since-inception baselines, is the minimum unit of meaningful analysis.

The Week at a Glance

Between June 3 and June 10, 2026, the PMTS infrastructure executed 736 trades across all managed accounts. Of these, 518 closed in profit and 37 closed at a loss, with the remainder closing at or near breakeven. That corresponds to an aggregate win rate of 70.38% for the week, with total net profit across account base currencies of 904,306.16.

  • Total trades executed: 736 over the seven-day window
  • Winning trades: 518
  • Losing trades: 37
  • Aggregate win rate: 70.38%
  • Aggregate net profit (account base currencies): 904,306.16

Aggregate figures span accounts denominated in different currencies and of very different sizes, so they describe activity and consistency rather than a single return number. For normalized, risk-adjusted analysis, we turn to the reference account.

Reference Account: Risk-Adjusted Metrics

The PMTS reference account — a EUR-denominated account that has traded continuously since July 21, 2025 — provides the cleanest lens on system quality, because it is tracked deal by deal with full statistical attribution. As of the June 10, 2026 synchronization, the account shows a total return of 5.6597% on equity of 52,829.87, generated across 42 closed trades.

  • Win rate: 83.33% (35 winning trades, 7 losing trades)
  • Profit factor: 3.8968
  • Sharpe ratio: 10.10
  • Maximum drawdown: 0.4061%
  • Expected payoff per trade: 67.38
  • Average win / average loss: 109.10 / −163.32

Two of these numbers deserve comment. First, the profit factor of 3.8968 means the system generated nearly 3.9 units of gross profit for every unit of gross loss — well above the 1.75–2.0 range generally considered robust for live systematic strategies. Second, the relationship between the average win (109.10) and the average loss (−163.32) shows that PMTS is not a “small wins, occasional catastrophic loss” profile: the largest single win in the period was 896.71, while the maximum drawdown remained contained at 0.4061% of equity. The high win rate does the heavy lifting, but loss containment is what keeps the equity curve stable.

The Sharpe ratio of 10.10 reported by the synchronization layer reflects the unusually low volatility of the account’s daily P&L relative to its mean over the measurement window. We flag it rather than celebrate it: Sharpe ratios computed on samples with very high win rates are structurally elevated, and we expect this figure to normalize as the sample grows. Sortino and Calmar ratios will be added to the public dataset once the downside-deviation sample is statistically meaningful.

Daily Breakdown on the Master Account

The MAM master account, which drives proportional allocation to investor accounts, recorded three standout sessions during the review window:

  • June 5: +2.0924% on the day — 6 trades, 6 winners, no losses
  • June 8: +2.5823% on the day — 7 trades, 6 winners, 1 loss
  • June 9: +3.1109% on the day — 6 trades, 5 winners, 1 loss

The pattern is consistent with how the PMTS signal engine behaves in event-dense weeks: selective participation, modest trade counts per session, and position sizing calibrated so that a single losing trade — like the one taken on June 9 — does not erase the session. Because investor accounts receive their share of master-account P&L proportionally, this session-level discipline translates directly into the equity curves clients see. Live followers can track every session in real time on the PMTS dashboard.

June Month-to-Date

Seven trading days into June, the master account stands at +9.4944% month-to-date, built on 40 trades with an 82.50% win rate and a profit factor of 3.5315. Gross profit of 87,266.34 against gross loss of 24,711.02 over the period underlines the same asymmetry visible in the weekly numbers.

It is worth stating plainly: a month-to-date figure above 9% after seven trading days is an unusually strong start, and we do not extrapolate it. Monthly results compound from daily risk discipline, not from straight-line projection, and the second half of June contains the FOMC decision — historically a volatility regime change for XAUUSD.

Market Context: FOMC Week and XAUUSD

The week under review was shaped by pre-FOMC positioning. With the Fed’s June meeting on deck, XAUUSD spent the early sessions consolidating after the pullback we analyzed on June 9, with recent fills on the reference account printing near 4,176 on the buy side. Rate expectations, real yields and dollar flows remain the dominant inputs for gold, and the PMTS macro filters tightened exposure windows accordingly.

This is the environment where systematic execution earns its keep. Discretionary traders tend either to overtrade pre-FOMC chop or to sit out entirely; the PMTS engine simply narrows its participation criteria and continues to take the subset of setups that historically survive event-week volatility. The 70.38% weekly win rate on 736 trades suggests that filter did its job.

The 30-Day Perspective

Zooming out to the trailing 30 days (May 11 to June 10, 2026), the infrastructure executed 3,982 trades with 2,408 winners and 659 losers — a 60.47% win rate over a window that included multiple macro releases, the late-May geopolitical risk repricing and the early-June jobs-and-Fed cluster.

The spread between the 30-day win rate (60.47%) and the weekly figure (70.38%) is itself informative: it shows weekly results oscillate around a robust longer-run base rather than clustering at unsustainable extremes. We publish both precisely so that readers can see the variance, not just the highlight reel.

Transparency and Methodology

All statistics in this review are computed from deal-level MT5 records synchronized directly from broker servers — the same pipeline that powers investor reporting on the platform. Nothing is annualized, smoothed or selectively windowed: weekly summaries always cover the full seven-day period, and reference-account metrics are computed since inception (July 21, 2025).

We also publish the context that makes the numbers interpretable. Weekly figures are aggregated across every managed account, including accounts of different sizes, base currencies and onboarding dates; reference-account metrics isolate a single continuously traded account so that win rate, profit factor and Sharpe can be compared across periods without composition effects. When a metric is flattered by its sample — as noted above for the Sharpe ratio — we say so in the same paragraph in which we report it, because selective emphasis is just another form of curve fitting.

Qualified investors who want to evaluate PMTS against their own allocation criteria can open an account and review the complete performance dataset, including the equity curve, monthly returns and trade-level history, before committing capital.

Past performance does not guarantee future results. Trading involves substantial risk of loss. The figures above reflect live trading over a specific period and should not be interpreted as a projection of future returns. This article is provided for informational purposes only and does not constitute investment advice.

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