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~/backtests/na-dow-l-026 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Octans

code: NA-IDX-037 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $13,786 trades 393 win 38.42%
Verified · OTS3245cad6488f…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $13,786
gross profit$34,261
gross loss$20,475
win_rate
38.42%WIN
████░░░░░░
Win rate
151W / 242L
profit_factor
1.67PF
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Profit factor
gross P / gross L
cagr
4.43%CAGR
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CAGR
annualized
max_drawdown
-17.76%MAX DD
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Max drawdown
$2,115
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 393 points; starts at $9,789.16, ends at $23,785.77; observed range $9,789.16–$24,105.58.

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
38.42%win
Wins151
Losses242
Total393
win_vs_loss_size
Avg win$226.89
Avg loss$84.61
Largest win$1,116.96
Largest loss-$217.08
key_ratios
Profit factor1.67
Win/Loss ratio0.62
Payout ratio2.68
Expectancy$35.08
Avg trade$35.08
Bars in trade11.41
streaks
Max consec wins6
Max consec losses15
Avg consec wins1.56
Avg consec losses2.49
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

$13,786
Net profit
$34,261
Gross profit
$20,475
Gross loss
4.43%
CAGR
6.56
AHPR
$689
Yearly avg profit
$56
Monthly avg profit
$1.84
Daily avg profit
6.89%
Yearly avg return
0.51%
Exposure
393
Trades
$35.08
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 pips13021 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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