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~/backtests/na-xau-l-007 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Merak

code: NA-XAU-L-007 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $14,318 trades 484 win 52.89%
Verified · OTSf95edeb252cc…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $14,318
gross profit$48,332
gross loss$34,014
win_rate
52.89%WIN
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Win rate
256W / 228L
profit_factor
1.42PF
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Profit factor
gross P / gross L
cagr
4.54%CAGR
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CAGR
annualized
max_drawdown
-27.21%MAX DD
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Max drawdown
$4,793
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 969 points; starts at $10,000.00, ends at $24,318.08; observed range $10,000.00–$25,248.19.

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
52.89%win
Wins256
Losses228
Total484
win_vs_loss_size
Avg win$188.80
Avg loss$149.18
Largest win$1,018.82
Largest loss-$233.28
key_ratios
Profit factor1.42
Win/Loss ratio1.12
Payout ratio1.27
Expectancy$29.58
Avg trade$29.58
Bars in trade25.20
streaks
Max consec wins9
Max consec losses10
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

$14,318
Net profit
$48,332
Gross profit
$34,014
Gross loss
4.54%
CAGR
6.82
AHPR
$716
Yearly avg profit
$59
Monthly avg profit
$1.94
Daily avg profit
7.16%
Yearly avg return
12.29%
Exposure
484
Trades
$29.58
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 pips162772.83 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.
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Generated from stored backtest metrics · NeuronAlgo research desk

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