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~/backtests/na-dow-l-006 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Crux

code: NA-IDX-017 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $11,498 trades 500 win 54.20%
Verified · OTS86a51ba274ae…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $11,498
gross profit$41,226
gross loss$29,728
win_rate
54.20%WIN
█████░░░░░
Win rate
271W / 229L
profit_factor
1.39PF
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Profit factor
gross P / gross L
cagr
3.90%CAGR
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CAGR
annualized
max_drawdown
-16.99%MAX DD
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Max drawdown
$2,395
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 500 points; starts at $9,795.04, ends at $21,498.08; observed range $9,732.71–$21,694.01.

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
54.20%win
Wins271
Losses229
Total500
win_vs_loss_size
Avg win$152.13
Avg loss$129.82
Largest win$1,185.52
Largest loss-$211.72
key_ratios
Profit factor1.39
Win/Loss ratio1.18
Payout ratio1.17
Expectancy$23.00
Avg trade$23.00
Bars in trade12.93
streaks
Max consec wins7
Max consec losses9
Avg consec wins1.99
Avg consec losses1.68
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

$11,498
Net profit
$41,226
Gross profit
$29,728
Gross loss
3.90%
CAGR
5.48
AHPR
$575
Yearly avg profit
$47
Monthly avg profit
$1.54
Daily avg profit
5.75%
Yearly avg return
0.59%
Exposure
500
Trades
$23.00
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 pips17973 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.
nextok

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Generated from stored backtest metrics · NeuronAlgo research desk

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