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~/backtests/na-dow-l-045 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Vulpecula

code: NA-IDX-056 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $10,014 trades 332 win 37.95%
Verified · OTS70d1dd7904ca…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $10,014
gross profit$29,131
gross loss$19,117
win_rate
37.95%WIN
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Win rate
126W / 206L
profit_factor
1.52PF
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Profit factor
gross P / gross L
cagr
3.53%CAGR
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CAGR
annualized
max_drawdown
-25.96%MAX DD
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Max drawdown
$3,033
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 332 points; starts at $9,799.74, ends at $20,014.01; observed range $8,652.16–$20,014.01.

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
37.95%win
Wins126
Losses206
Total332
win_vs_loss_size
Avg win$231.20
Avg loss$92.80
Largest win$280.44
Largest loss-$204.74
key_ratios
Profit factor1.52
Win/Loss ratio0.61
Payout ratio2.49
Expectancy$30.16
Avg trade$30.16
Bars in trade27.21
streaks
Max consec wins12
Max consec losses16
Avg consec wins1.80
Avg consec losses2.94
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

$10,014
Net profit
$29,131
Gross profit
$19,117
Gross loss
3.53%
CAGR
4.77
AHPR
$501
Yearly avg profit
$41
Monthly avg profit
$1.34
Daily avg profit
5.01%
Yearly avg return
5.07%
Exposure
332
Trades
$30.16
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentDowJones_Oanda
timeframeH1
period start2006-01-03
period end2026-06-19
profit in pips18699 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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