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~/backtests/na-xau-l-048 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Mu Sagitta

code: NA-XAU-L-048 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $14,322 trades 557 win 33.57%
Verified · OTSb4a3a42ee76a…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $14,322
gross profit$56,085
gross loss$41,763
win_rate
33.57%WIN
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Win rate
187W / 370L
profit_factor
1.34PF
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Profit factor
gross P / gross L
cagr
4.54%CAGR
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CAGR
annualized
max_drawdown
-21.22%MAX DD
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Max drawdown
$2,548
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,114 points; starts at $10,000.00, ends at $24,322.08; observed range $9,457.65–$24,789.39.

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
33.57%win
Wins187
Losses370
Total557
win_vs_loss_size
Avg win$299.92
Avg loss$112.87
Largest win$323.55
Largest loss-$232.35
key_ratios
Profit factor1.34
Win/Loss ratio0.51
Payout ratio2.66
Expectancy$25.71
Avg trade$25.71
Bars in trade20.07
streaks
Max consec wins4
Max consec losses14
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

$14,322
Net profit
$56,085
Gross profit
$41,763
Gross loss
4.54%
CAGR
7.16
AHPR
$716
Yearly avg profit
$59
Monthly avg profit
$1.94
Daily avg profit
7.16%
Yearly avg return
13.05%
Exposure
557
Trades
$25.71
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 pips119034.11 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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