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~/backtests/na-dow-l-047 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Maia

code: NA-IDX-058 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,471 trades 387 win 48.06%
Verified · OTSd9a6ba2dd901…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,471
gross profit$18,301
gross loss$10,831
win_rate
48.06%WIN
█████░░░░░
Win rate
186W / 201L
profit_factor
1.69PF
██████░░░░
Profit factor
gross P / gross L
cagr
2.83%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-8.83%MAX DD
█░░░░░░░░░
Max drawdown
$937
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 387 points; starts at $10,011.90, ends at $17,470.67; observed range $9,675.66–$17,518.30.

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
48.06%win
Wins186
Losses201
Total387
win_vs_loss_size
Avg win$98.39
Avg loss$53.88
Largest win$510.14
Largest loss-$205.20
key_ratios
Profit factor1.69
Win/Loss ratio0.93
Payout ratio1.83
Expectancy$19.30
Avg trade$19.30
Bars in trade12.49
streaks
Max consec wins8
Max consec losses8
Avg consec wins1.88
Avg consec losses2.05
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

$7,471
Net profit
$18,301
Gross profit
$10,831
Gross loss
2.83%
CAGR
3.56
AHPR
$374
Yearly avg profit
$30
Monthly avg profit
$1.00
Daily avg profit
3.74%
Yearly avg return
1.65%
Exposure
387
Trades
$19.30
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 pips12584 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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