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~/backtests/na-xau-l-009 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Eta Aspidiske

code: NA-XAU-L-009 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $15,352 trades 619 win 46.69%
Verified · OTS1304a75def47…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $15,352
gross profit$61,369
gross loss$46,017
win_rate
46.69%WIN
█████░░░░░
Win rate
289W / 330L
profit_factor
1.33PF
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Profit factor
gross P / gross L
cagr
4.76%CAGR
██░░░░░░░░
CAGR
annualized
max_drawdown
-19.75%MAX DD
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Max drawdown
$4,469
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,238 points; starts at $10,000.00, ends at $25,352.02; observed range $10,000.00–$25,734.07.

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
46.69%win
Wins289
Losses330
Total619
win_vs_loss_size
Avg win$212.35
Avg loss$139.44
Largest win$1,217.52
Largest loss-$248.17
key_ratios
Profit factor1.33
Win/Loss ratio0.88
Payout ratio1.52
Expectancy$24.80
Avg trade$24.80
Bars in trade20.74
streaks
Max consec wins15
Max consec losses9
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

$15,352
Net profit
$61,369
Gross profit
$46,017
Gross loss
4.76%
CAGR
7.31
AHPR
$768
Yearly avg profit
$63
Monthly avg profit
$2.08
Daily avg profit
7.68%
Yearly avg return
12.44%
Exposure
619
Trades
$24.80
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 pips207342.09 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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