ArtQuant Gold · 118 sold$70.00View →This listing is a finely tuned parameter file (.set) for the EA above — the EA itself is not included. Own that EA first, then run it with this set.
A good parameter set is as valuable as the EA itself — the same EA with different inputs gives wildly different outcomes.
Tuned for a $500 account · XAUUSD H1 · 1:1000 · verified on real ticks across 2025 and 2026 YTD
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A set of trade-offs converged against what a $500 account can absorb — biased toward survival over headline return. A grid EA's balance curve usually looks good; read it together with max equity drawdown, which is where the floating loss actually shows.
| Month | Return | P/L | W / L |
|---|---|---|---|
| 2025-01 | +33.53% | $168 | 151/35 |
| 2025-02 | +30.52% | $204 | 142/43 |
| 2025-03 | +22.47% | $196 | 170/51 |
| 2025-04 | +21.05% | $225 | 139/43 |
| 2025-05 | +23.67% | $306 | 226/64 |
| 2025-06 | +7.88% | $126 | 110/26 |
| 2025-07 | +17.95% | $309 | 237/60 |
| 2025-08 | +9.50% | $193 | 85/37 |
| 2025-09 | +24.57% | $547 | 240/65 |
| 2025-10 | +63.12% | $1,751 | 260/81 |
| 2025-11 | +25.58% | $1,157 | 158/44 |
| 2025-12 | +33.80% | $1,920 | 189/60 |
| Total | +1420.27% | $7,101 | 2107/609 |
Methodology: results come from the MT5 Strategy Tester on real tick data; spread and slippage are the ones actually quoted during the test window, plus a 50 ms execution delay. Spread, slippage and swap differ between brokers, so the same set will not reproduce identically elsewhere. Past backtest results do not indicate future returns; you trade at your own risk.
The backtest runs on a Tickmill account — to reproduce these numbers, the same broker's quote feed is the closest match.
A parameter set (.set file) purpose-built for ArtQuant Gold — MT5 inputs tuned for a $500 account at 1:1000 leverage on XAUUSD gold, H1. This listing is the parameter file and does not include the EA itself: own ArtQuant Gold (v3.2 or later) here or on MQL5 first, then run it with this set.
ArtQuant Gold is a multi-module grid / averaging system — it adds into the move to smooth cost. On this kind of EA the inputs are not a performance dial, they decide whether it survives a one-way market: how many modules run, how big each step is, where total lots are capped, when drawdown protection steps in. Loosen any one of them and a steady account becomes a single blow-up. That is exactly why copying a random set off a forum is a bad idea.
This .set is a set of trade-offs we converged on by backtesting repeatedly on real-tick data against what a $500 account can actually absorb — biased toward survival over headline return.
The account balance curve, the monthly returns (including winning/losing trades per month) and every metric are read straight out of the raw MT5 Strategy Tester report we produced in-house, covering the whole of 2025 and 2026 year to date: every tick based on real ticks, 50 ms execution delay, 1:1000 leverage, $500 starting deposit, on the Tickmill account linked in our footer. Spread and slippage are the ones actually quoted during the test window — no idealised assumptions, no cosmetic edits.
Read the drawdown, not just the return. A grid EA almost always has a pretty balance curve; the real risk hides in max equity drawdown (which includes floating loss). Both figures are listed above — please read them as a pair.
.set parameter file — load it from the EA's Inputs tab → LoadRisk note: grid / averaging strategies concentrate risk sharply in extreme one-way markets, and past backtest results do not indicate future returns. A parameter set changes how the EA behaves, not how the market behaves; spread, slippage and swap differ between brokers, so the same set will not reproduce identical results elsewhere. Trade only with money you can afford to lose, and set your own total-lot cap and drawdown protection. Digital goods are non-refundable once delivered.

Tuned for a $500 account · XAUUSD · verified on real ticks across 2025 and 2026 YTD
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Digital goods (license keys / files) are non-refundable once delivered. EAs and quantitative strategies are for research/education only and are not investment advice; forex and derivatives trading is high risk and past performance does not guarantee future results.
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