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~/backtests/na-dow-l-031 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Puppis

code: NA-IDX-042 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,700 trades 525 win 55.24%
Verified · OTS0b10983c0509…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,700
gross profit$27,380
gross loss$19,680
win_rate
55.24%WIN
██████░░░░
Win rate
290W / 235L
profit_factor
1.39PF
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Profit factor
gross P / gross L
cagr
2.90%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-14.27%MAX DD
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Max drawdown
$1,584
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 525 points; starts at $9,981.94, ends at $17,699.93; observed range $9,496.90–$17,699.93.

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
55.24%win
Wins290
Losses235
Total525
win_vs_loss_size
Avg win$94.41
Avg loss$83.74
Largest win$647.60
Largest loss-$205.80
key_ratios
Profit factor1.39
Win/Loss ratio1.23
Payout ratio1.13
Expectancy$14.67
Avg trade$14.67
Bars in trade16.87
streaks
Max consec wins15
Max consec losses6
Avg consec wins2.18
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

$7,700
Net profit
$27,380
Gross profit
$19,680
Gross loss
2.90%
CAGR
3.67
AHPR
$385
Yearly avg profit
$31
Monthly avg profit
$1.03
Daily avg profit
3.85%
Yearly avg return
0.87%
Exposure
525
Trades
$14.67
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 pips16511 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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