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~/backtests/na-dow-l-025 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Norma

code: NA-IDX-036 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $9,608 trades 507 win 53.85%
Verified · OTS3529a495209a…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $9,608
gross profit$33,344
gross loss$23,736
win_rate
53.85%WIN
█████░░░░░
Win rate
273W / 234L
profit_factor
1.40PF
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Profit factor
gross P / gross L
cagr
3.42%CAGR
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CAGR
annualized
max_drawdown
-12.86%MAX DD
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Max drawdown
$1,788
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 507 points; starts at $10,300.72, ends at $19,607.60; observed range $10,001.38–$19,629.16.

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
53.85%win
Wins273
Losses234
Total507
win_vs_loss_size
Avg win$122.14
Avg loss$101.44
Largest win$527.56
Largest loss-$209.61
key_ratios
Profit factor1.40
Win/Loss ratio1.17
Payout ratio1.20
Expectancy$18.95
Avg trade$18.95
Bars in trade12.77
streaks
Max consec wins9
Max consec losses11
Avg consec wins2.15
Avg consec losses1.84
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

$9,608
Net profit
$33,344
Gross profit
$23,736
Gross loss
3.42%
CAGR
4.58
AHPR
$480
Yearly avg profit
$39
Monthly avg profit
$1.29
Daily avg profit
4.80%
Yearly avg return
0.40%
Exposure
507
Trades
$18.95
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 pips18753 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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