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~/backtests/na-xau-l-047 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Lambda Lacerta

code: NA-XAU-L-047 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $26,955 trades 623 win 39.17%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $26,955
gross profit$73,491
gross loss$46,535
win_rate
39.17%WIN
████░░░░░░
Win rate
244W / 379L
profit_factor
1.58PF
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Profit factor
gross P / gross L
cagr
6.75%CAGR
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CAGR
annualized
max_drawdown
-18.58%MAX DD
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Max drawdown
$4,149
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,246 points; starts at $10,000.00, ends at $36,955.43; observed range $10,000.00–$37,144.09.

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
39.17%win
Wins244
Losses379
Total623
win_vs_loss_size
Avg win$301.19
Avg loss$122.78
Largest win$2,219.49
Largest loss-$235.82
key_ratios
Profit factor1.58
Win/Loss ratio0.64
Payout ratio2.45
Expectancy$43.27
Avg trade$43.27
Bars in trade13.45
streaks
Max consec wins6
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

$26,955
Net profit
$73,491
Gross profit
$46,535
Gross loss
6.75%
CAGR
12.84
AHPR
$1,348
Yearly avg profit
$111
Monthly avg profit
$3.64
Daily avg profit
13.48%
Yearly avg return
10.17%
Exposure
623
Trades
$43.27
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 pips230453.17 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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