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~/backtests/na-dow-l-007 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Delphinus

code: NA-IDX-018 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $10,449 trades 707 win 54.60%
Verified · OTS658b12cca05f…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $10,449
gross profit$42,743
gross loss$32,294
win_rate
54.60%WIN
█████░░░░░
Win rate
386W / 321L
profit_factor
1.32PF
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Profit factor
gross P / gross L
cagr
3.64%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-15.45%MAX DD
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Max drawdown
$1,854
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 707 points; starts at $9,855.70, ends at $20,448.89; observed range $9,724.86–$20,677.67.

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
54.60%win
Wins386
Losses321
Total707
win_vs_loss_size
Avg win$110.73
Avg loss$100.60
Largest win$351.60
Largest loss-$206.40
key_ratios
Profit factor1.32
Win/Loss ratio1.20
Payout ratio1.10
Expectancy$14.78
Avg trade$14.78
Bars in trade10.31
streaks
Max consec wins11
Max consec losses7
Avg consec wins2.23
Avg consec losses1.86
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

$10,449
Net profit
$42,743
Gross profit
$32,294
Gross loss
3.64%
CAGR
4.98
AHPR
$522
Yearly avg profit
$43
Monthly avg profit
$1.40
Daily avg profit
5.22%
Yearly avg return
0.72%
Exposure
707
Trades
$14.78
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 pips17105 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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