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FxMath Aurum ML — October 2026 Review: +6,588 Pips on Gold, and the Hours That Actually Pay

FxMath Financial Solution

FxMath Aurum ML — October 2026 Review: +6,588 Pips on Gold, and the Hours That Actually Pay

October was our weakest month since launch — and we are publishing it in full. 844 closed trades on Gold produced +6,588 pips (+$658.81 at 0.01 lot) with a 39.9% win rate and a profit factor of 1.21. Then we cut all 3,378 trades on the public dashboard by the hour the signal fired, and found something far more useful than the monthly total.

Executive Summary

844 trades · 337W / 507L · 39.9% win rate · +6,588 pips (+$658.81) · Profit Factor 1.21

Best engine: M5 (+$505.63, PF 1.34) · Only losing engine: H2 (−$179.73, PF 0.55)

Best signal hours: 14:00 (+$343), 06:00 (+$235), 11:00 (+$166) · Worst: 15:00 (−$168), 09:00 (−$136), 19:00 (−$86)

October at a Glance

+$658.81
October Net · +6,588 pips
844
Trades Closed
39.9%
Win Rate (337W / 507L)
1.21
Profit Factor
+$7,285.89
All Time Net · +72,858.9 pips
3,378
All Time Trades
44.1%
All Time Win Rate
1.54
All Time Profit Factor

Average winner was +$13.88 against an average loser of −$7.09 — winners ran almost exactly twice as far as losers. At a 1:2 risk-to-reward ratio a system only needs one win in three to break even, which is why a month with 39.9% accuracy still printed green.

FxMath Aurum ML October 2026 summary: net $658.81, 844 trades, 39.9% win rate, profit factor 1.21
Figure 1: October 2026 on the live master dashboard — month totals and per-timeframe result.

Performance by Timeframe

Four engines ran independently on the same account. Three finished green; the slowest one did not.

TF Trades Wins Losses Win Rate Pips Net P&L Profit Factor
M5 584 240 344 41.1% +5,056.3 +$505.63 1.34
M15 198 78 120 39.4% +2,538.4 +$253.84 1.28
H1 38 14 24 36.8% +790.7 +$79.07 1.21
H2 24 5 19 20.8% −1,797.3 −$179.73 0.55
TOTAL 844 337 507 39.9% +6,588.1 +$658.81 1.21

H2 traded the least and lost the most: its stop distance is the widest of the four engines, and October punished exactly that. Its failure is also the most informative result of the month, because it is a pure timing failure — every one of its losing hours fell in the afternoon block.

The Hour Is the Variable

Same signals, same stop logic, same lot size. The only thing that changed between a profitable hour and a losing hour was the clock. Cutting 1 October – 9 November 2026 into 1,067 closed trades by signal hour:

Net result by signal hour for FxMath Aurum ML, 1 Oct to 9 Nov 2026, 1067 closed trades
Figure 2: Net result by signal hour, all timeframes combined (1 Oct – 9 Nov 2026, 1,067 closed trades).
Signal Hour Trades Win Rate Net P&L Pips Profit Factor
14:00 66 48% +$343.34 +3,433 2.28
06:00 50 52% +$234.65 +2,347 2.63
11:00 57 49% +$166.07 +1,661 2.28
02:00 44 50% +$157.50 +1,575 1.72
05:00 53 43% +$138.75 +1,388 1.98
13:00 73 45% +$110.72 +1,107 1.35
04:00 36 53% +$101.63 +1,016 1.59
15:00 45 24% −$167.87 −1,679 0.50
09:00 27 15% −$135.96 −1,360 0.34
19:00 44 34% −$85.90 −859 0.55
03:00 50 26% −$62.03 −620 0.76
16:00 39 28% −$58.28 −583 0.77

14:00 made +$343.34. 15:00, sixty minutes later, lost $167.87. The seven productive hours above contributed +$1,252; the five dead ones took back −$510. The edge is real — it is simply not distributed evenly across the trading day.

Hours are the signal hour recorded on the dashboard account, which runs on the broker clock (roughly UTC+2 — the feed shows the week opening at 22:00 and stopping at 19:00, with the daily rollover gap at 21:00).

Each Timeframe Has Its Own Clock

Splitting October by timeframe shows there is no single “best hour” for the system — there is a best hour per engine. Running all four on one shared clock is precisely why one of them bled for a month.

Net result by signal hour for M5, M15, H1 and H2 in October 2026
Figure 3: The same clock, one panel per timeframe — October 2026.
TF Best Hours (Net P&L) Worst Hours (Net P&L)
M5
584 trades · +$505.63
13:00 +$131.84 (39 trades, 51%) · 01:00 +$62.10 · 02:00 +$61.79 · 10:00 +$60.81 03:00 −$39.99 · 09:00 −$25.34 · 18:00 −$19.05
M15
198 trades · +$253.84
14:00 +$118.23 (16 trades, 56%) · 02:00 +$65.81 (60%) · 13:00 +$50.60 · 11:00 +$49.57 03:00 −$74.09 (12%) · 19:00 −$42.38 · 07:00 −$41.40
H1
38 trades · +$79.07
14:00 +$96.76 (3 for 3) · 04:00 +$94.55 (3 of 4) · 03:00 +$59.12 09:00 −$60.51 (0 for 4) · 02:00 −$56.42 · 15:00 −$48.38
H2
24 trades · −$179.73
02:00 +$46.35 · 04:00 +$43.39 · 05:00 +$24.47 · 06:00 +$20.33 — green only before 07:00 15:00 −$90.24 (0 for 4) · 13:00 −$51.25 · 16:00 −$49.08

M5 lives in the 10:00–14:00 block plus a 01:00–02:00 window. M15 and H1 both want 14:00 and very little else. H2 is a dawn-only engine that was allowed to trade the whole afternoon and paid for it.

October, Three Ways

To test whether this is noise or structure, we re-ran October three ways on the same trade set — no changes to entries, stops or sizing, only to which hours were allowed to trade.

Session-block profit factor by month and October 2026 re-run three ways
Figure 4: Profit factor by session block, month by month — and October re-run with an hour filter.
October Variant Trades Win Rate Net P&L Profit Factor
As traded (all hours) 844 39.9% +$658.81 1.21
Only the 6 best hours (02, 05, 06, 11, 13, 14) 269 46.5% +$686.65 1.72
Skipping the 7 worst hours (03, 07, 09, 15, 16, 18, 19) 616 45.0% +$1,233.86 1.64

Read the second row twice: a third of the trades, more profit, and the win rate up from 39.9% to 46.5%. Read the third: those seven hours cost $579 in a single month — 88% of the profit we actually booked.

The block-by-block view explains why this needs to be per-timeframe rather than a single global switch. The 00:00–08:00 block has been profitable in every month since launch, but its profit factor has halved (2.98 → 2.13 → 1.55 → 1.46 → 1.27). The 17:00–23:00 block was the best block in September at PF 2.01 and the only losing block in October at PF 0.86. A fixed global window would have chased both moves backwards.

What We Do With This

Nothing is being changed silently. The EA already ships an advanced time filter with GMT or broker-time support, per-timeframe risk settings, minimum confidence thresholds and signal-age guards. The work now is to let each timeframe carry its own trading window instead of sharing one, and then forward-test it on the live account.

  • M5 — the 10:00–14:00 block plus the 01:00–02:00 window
  • M15 — concentrated around 14:00 and 11:00, closed during the 03:00 and 07:00 hours
  • H1 — 03:00–05:00 and 14:00 only, with 09:00 excluded
  • H2 — pre-07:00 only, or disabled until the forward test proves otherwise

When that test produces numbers, they will be published exactly like this one: trade by trade, losses included, on the public dashboard.

Full Transparency

Every number in this article came from the public trade feed behind signals.fxmath.net — 3,378 closed trades between 15 July and 9 November 2026. No cherry-picking, no demo account, no hidden losing days. Watch the same account live (it refreshes every 10 seconds) or follow the free Telegram channel t.me/FxMathAurum for alerts the moment a position opens or closes.

Method note: results are grouped by the hour the signal fired (entry hour), not the exit hour, because that is the hour a trading-time filter actually controls. Sizes on the dashboard account are fixed at 0.01 lot, so $1 of P&L equals 10 pips and all dollar figures scale linearly with position size.

Pricing & Payment

Same features on every plan — only the duration differs. Each license covers one MT4 or MT5 account with all timeframes. The live dashboard and Telegram alerts are free for everyone, no license required.

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$69
per month

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$119
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$299
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one-time · all future updates

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Payment: We accept 50+ cryptocurrencies — BTC · ETH · USDT · USDC · +50 more. After payment you receive your license key and setup instructions by email within 24 hours.

Pay directly at the secure checkout (fxmath.com/pay) or via the storefront. Need help choosing or upgrading? Contact @FxMath on Telegram or email [email protected]. Prefer to see results first? Watch live trades on the dashboard or the free Telegram channel before buying.

Risk Warning: Trading financial instruments, particularly leveraged gold CFDs (XAUUSD), involves substantial risk of loss and is not suitable for every investor. Past performance results are not necessarily indicative of future performance. The hour-filter figures above are a retrospective study of one month on a 0.01-lot dashboard account, not a promise of future returns. Always test automated systems on a demo account before considering live deployment.

Tags

FxMathAurum MLMonthly ReviewXAUUSDGoldProfit FactorMachine LearningAlgorithmic TradingSession FilterTrade Copier


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FxMath Financial Solution is a financial software team developing end-to-end algo trading systems for quantitative hedge funds and institutional trading groups. Our system based on profitable mathematical models with highest possible profit and lowest drawn down.

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