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~/backtests/na-xau-l-045 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Alsephina

code: NA-XAU-L-045 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $20,056 trades 511 win 41.57%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $20,056
gross profit$60,974
gross loss$40,917
win_rate
41.57%WIN
████░░░░░░
Win rate
212W / 298L
profit_factor
1.49PF
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Profit factor
gross P / gross L
cagr
5.66%CAGR
██░░░░░░░░
CAGR
annualized
max_drawdown
-23.75%MAX DD
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Max drawdown
$3,343
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,022 points; starts at $10,000.00, ends at $30,056.35; observed range $8,356.03–$30,816.44.

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
41.57%win
Wins212
Losses298
Total511
win_vs_loss_size
Avg win$287.61
Avg loss$137.31
Largest win$1,765.30
Largest loss-$230.62
key_ratios
Profit factor1.49
Win/Loss ratio0.71
Payout ratio2.09
Expectancy$39.25
Avg trade$39.25
Bars in trade15.37
streaks
Max consec wins8
Max consec losses11
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

$20,056
Net profit
$60,974
Gross profit
$40,917
Gross loss
5.66%
CAGR
9.55
AHPR
$1,003
Yearly avg profit
$83
Monthly avg profit
$2.71
Daily avg profit
10.03%
Yearly avg return
9.49%
Exposure
511
Trades
$39.25
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 pips178089.81 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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