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~/backtests/na-xau-l-022 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Procyon

code: NA-XAU-L-022 XAUOUSD_OANDA H1 2006-03-19 → 2026-06-19
net $8,526 trades 676 win 21.45%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $8,526
gross profit$29,959
gross loss$21,432
win_rate
21.45%WIN
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Win rate
145W / 531L
profit_factor
1.40PF
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Profit factor
gross P / gross L
cagr
3.13%CAGR
░░░░░░░░░
CAGR
annualized
max_drawdown
-17.35%MAX DD
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Max drawdown
$2,715
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,352 points; starts at $10,000.00, ends at $18,526.38; observed range $9,979.93–$18,527.62.

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
21.45%win
Wins145
Losses531
Total676
win_vs_loss_size
Avg win$206.61
Avg loss$40.36
Largest win$978.02
Largest loss-$222.90
key_ratios
Profit factor1.40
Win/Loss ratio0.27
Payout ratio5.12
Expectancy$12.61
Avg trade$12.61
Bars in trade12.95
streaks
Max consec wins4
Max consec losses19
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

$8,526
Net profit
$29,959
Gross profit
$21,432
Gross loss
3.13%
CAGR
4.06
AHPR
$426
Yearly avg profit
$35
Monthly avg profit
$1.15
Daily avg profit
4.26%
Yearly avg return
7.17%
Exposure
676
Trades
$12.61
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 pips165804.91 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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