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~/backtests/na-dow-l-027 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Ophiuchus

code: NA-IDX-038 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $6,018 trades 448 win 55.80%
Verified · OTS23c255cb1abc…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $6,018
gross profit$20,348
gross loss$14,330
win_rate
55.80%WIN
██████░░░░
Win rate
250W / 198L
profit_factor
1.42PF
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Profit factor
gross P / gross L
cagr
2.38%CAGR
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CAGR
annualized
max_drawdown
-13.93%MAX DD
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Max drawdown
$1,543
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 448 points; starts at $9,926.08, ends at $16,018.30; observed range $9,278.62–$16,046.53.

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
55.80%win
Wins250
Losses198
Total448
win_vs_loss_size
Avg win$81.39
Avg loss$72.37
Largest win$456.46
Largest loss-$205.12
key_ratios
Profit factor1.42
Win/Loss ratio1.26
Payout ratio1.12
Expectancy$13.43
Avg trade$13.43
Bars in trade12.81
streaks
Max consec wins10
Max consec losses6
Avg consec wins2.23
Avg consec losses1.77
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

$6,018
Net profit
$20,348
Gross profit
$14,330
Gross loss
2.38%
CAGR
2.87
AHPR
$301
Yearly avg profit
$25
Monthly avg profit
$0.81
Daily avg profit
3.01%
Yearly avg return
0.56%
Exposure
448
Trades
$13.43
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 pips13904 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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