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~/backtests/na-xau-l-031 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Beta Lyrae

code: NA-XAU-052 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $14,239 trades 772 win 47.41%
Verified · OTS67e542ad5495…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $14,239
gross profit$57,430
gross loss$43,192
win_rate
47.41%WIN
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Win rate
366W / 406L
profit_factor
1.33PF
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Profit factor
gross P / gross L
cagr
4.53%CAGR
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CAGR
annualized
max_drawdown
-15.79%MAX DD
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Max drawdown
$1,831
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 772 points; starts at $10,260.70, ends at $24,238.49; observed range $9,763.82–$24,716.46.

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
47.41%win
Wins366
Losses406
Total772
win_vs_loss_size
Avg win$156.91
Avg loss$106.38
Largest win$268.32
Largest loss-$238.10
key_ratios
Profit factor1.33
Win/Loss ratio0.90
Payout ratio1.47
Expectancy$18.44
Avg trade$18.44
Bars in trade33.09
streaks
Max consec wins8
Max consec losses9
Avg consec wins1.88
Avg consec losses2.08
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

$14,239
Net profit
$57,430
Gross profit
$43,192
Gross loss
4.53%
CAGR
6.78
AHPR
$712
Yearly avg profit
$59
Monthly avg profit
$1.92
Daily avg profit
7.12%
Yearly avg return
13.69%
Exposure
772
Trades
$18.44
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 pips183474.25 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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