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~/backtests/na-dow-l-005 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Crater

code: NA-IDX-016 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $10,326 trades 524 win 54.20%
Verified · OTSec0bb441b50a…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $10,326
gross profit$40,082
gross loss$29,756
win_rate
54.20%WIN
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Win rate
284W / 240L
profit_factor
1.35PF
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Profit factor
gross P / gross L
cagr
3.61%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-20.72%MAX DD
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Max drawdown
$2,412
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 524 points; starts at $9,975.52, ends at $20,326.24; observed range $9,226.65–$20,326.24.

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
Wins284
Losses240
Total524
win_vs_loss_size
Avg win$141.13
Avg loss$123.98
Largest win$454.72
Largest loss-$212.43
key_ratios
Profit factor1.35
Win/Loss ratio1.18
Payout ratio1.14
Expectancy$19.71
Avg trade$19.71
Bars in trade13.09
streaks
Max consec wins7
Max consec losses7
Avg consec wins2.01
Avg consec losses1.70
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

$10,326
Net profit
$40,082
Gross profit
$29,756
Gross loss
3.61%
CAGR
4.92
AHPR
$516
Yearly avg profit
$42
Monthly avg profit
$1.38
Daily avg profit
5.16%
Yearly avg return
0.63%
Exposure
524
Trades
$19.71
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 pips16705 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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