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~/backtests/na-dow-l-004 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Corvus

code: NA-IDX-015 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $8,023 trades 662 win 47.28%
Verified · OTS4eca3701ac40…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $8,023
gross profit$32,386
gross loss$24,364
win_rate
47.28%WIN
█████░░░░░
Win rate
313W / 349L
profit_factor
1.33PF
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Profit factor
gross P / gross L
cagr
2.99%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-14.68%MAX DD
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Max drawdown
$1,790
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 662 points; starts at $9,995.36, ends at $18,022.63; observed range $9,995.36–$18,029.34.

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
47.28%win
Wins313
Losses349
Total662
win_vs_loss_size
Avg win$103.47
Avg loss$69.81
Largest win$343.36
Largest loss-$205.41
key_ratios
Profit factor1.33
Win/Loss ratio0.90
Payout ratio1.48
Expectancy$12.12
Avg trade$12.12
Bars in trade9.85
streaks
Max consec wins8
Max consec losses9
Avg consec wins1.78
Avg consec losses1.97
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

$8,023
Net profit
$32,386
Gross profit
$24,364
Gross loss
2.99%
CAGR
3.82
AHPR
$401
Yearly avg profit
$33
Monthly avg profit
$1.07
Daily avg profit
4.01%
Yearly avg return
0.37%
Exposure
662
Trades
$12.12
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 pips14622 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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