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~/backtests/na-xau-l-020 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Delta Antares

code: NA-XAU-L-020 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $17,579 trades 638 win 37.30%
Verified · OTS5e56e52c0ad4…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $17,579
gross profit$63,437
gross loss$45,858
win_rate
37.30%WIN
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Win rate
238W / 400L
profit_factor
1.38PF
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Profit factor
gross P / gross L
cagr
5.20%CAGR
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CAGR
annualized
max_drawdown
-17.28%MAX DD
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Max drawdown
$3,225
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,276 points; starts at $10,000.00, ends at $27,578.55; observed range $9,877.52–$27,802.96.

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
37.30%win
Wins238
Losses400
Total638
win_vs_loss_size
Avg win$266.54
Avg loss$114.65
Largest win$1,560.54
Largest loss-$228.07
key_ratios
Profit factor1.38
Win/Loss ratio0.60
Payout ratio2.32
Expectancy$27.55
Avg trade$27.55
Bars in trade17.38
streaks
Max consec wins5
Max consec losses13
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

$17,579
Net profit
$63,437
Gross profit
$45,858
Gross loss
5.20%
CAGR
8.37
AHPR
$879
Yearly avg profit
$72
Monthly avg profit
$2.38
Daily avg profit
8.79%
Yearly avg return
10.37%
Exposure
638
Trades
$27.55
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 pips235949.19 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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