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~/backtests/na-xau-l-050 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Antares

code: NA-XAU-L-050 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $17,836 trades 547 win 43.69%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $17,836
gross profit$67,670
gross loss$49,834
win_rate
43.69%WIN
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Win rate
239W / 308L
profit_factor
1.36PF
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Profit factor
gross P / gross L
cagr
5.25%CAGR
██░░░░░░░░
CAGR
annualized
max_drawdown
-16.66%MAX DD
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Max drawdown
$2,276
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,094 points; starts at $10,000.00, ends at $27,836.08; observed range $9,713.52–$28,053.81.

x: time · y: equity (USD)● rendered by na-backtest-charts

$ plot --drawdown

underwater equity (peak-to-trough), in account currency — risk per trade is a fixed dollar amount, so a percent axis would shrink every year as the balance grew

x: time · y: drawdown (USD)● rendered by na-backtest-charts
trade_breakdown --analyzepartial

$ trades --breakdown

win/loss split, averages, and streaks

win_loss_split
43.69%win
Wins239
Losses308
Total547
win_vs_loss_size
Avg win$283.14
Avg loss$161.80
Largest win$312.72
Largest loss-$237.86
key_ratios
Profit factor1.36
Win/Loss ratio0.78
Payout ratio1.75
Expectancy$32.61
Avg trade$32.61
Bars in trade20.20
streaks
Max consec wins8
Max consec losses8
Avg consec wins1.00
Avg consec losses1.00
Long vs short breakdown and per-trade distributions are not in the ingested dataset yet.
full_statistics --allok

$ stats --full

complete metric set, grouped by category

$17,836
Net profit
$67,670
Gross profit
$49,834
Gross loss
5.25%
CAGR
8.49
AHPR
$892
Yearly avg profit
$73
Monthly avg profit
$2.41
Daily avg profit
8.92%
Yearly avg return
15.10%
Exposure
547
Trades
$32.61
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentXAUOUSD_OANDA
timeframeH1
period start2006-03-19
period end2026-06-19
profit in pips268985.97 ticks
strategyview →
Trading financial instruments carries a high level of risk and may not be suitable for all investors. Past performance — including backtested and simulated results — is not indicative of future results. NeuronAlgo provides research and tooling, not financial advice.
nextok

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Generated from stored backtest metrics · NeuronAlgo research desk

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