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~/backtests/na-xau-l-018 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Dschubba

code: NA-XAU-L-018 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $9,050 trades 366 win 26.23%
Verified · OTS9fc529dc5e7f…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $9,050
gross profit$24,321
gross loss$15,271
win_rate
26.23%WIN
███░░░░░░░
Win rate
96W / 270L
profit_factor
1.59PF
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Profit factor
gross P / gross L
cagr
3.27%CAGR
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CAGR
annualized
max_drawdown
-10.40%MAX DD
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Max drawdown
$1,856
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 732 points; starts at $10,000.00, ends at $19,050.35; observed range $9,985.90–$19,066.94.

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
26.23%win
Wins96
Losses270
Total366
win_vs_loss_size
Avg win$253.34
Avg loss$56.56
Largest win$1,449.07
Largest loss-$215.26
key_ratios
Profit factor1.59
Win/Loss ratio0.36
Payout ratio4.48
Expectancy$24.73
Avg trade$24.73
Bars in trade12.28
streaks
Max consec wins3
Max consec losses15
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

$9,050
Net profit
$24,321
Gross profit
$15,271
Gross loss
3.27%
CAGR
4.31
AHPR
$453
Yearly avg profit
$37
Monthly avg profit
$1.22
Daily avg profit
4.53%
Yearly avg return
3.92%
Exposure
366
Trades
$24.73
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 pips108264.25 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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