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~/backtests/na-dow-l-008 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Dorado

code: NA-IDX-019 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $6,520 trades 413 win 57.38%
Verified · OTS7462efde2163…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $6,520
gross profit$22,743
gross loss$16,223
win_rate
57.38%WIN
██████░░░░
Win rate
237W / 176L
profit_factor
1.40PF
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Profit factor
gross P / gross L
cagr
2.54%CAGR
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CAGR
annualized
max_drawdown
-16.29%MAX DD
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Max drawdown
$1,885
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 413 points; starts at $10,129.74, ends at $16,520.23; observed range $9,687.12–$16,607.14.

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
57.38%win
Wins237
Losses176
Total413
win_vs_loss_size
Avg win$95.96
Avg loss$92.17
Largest win$319.24
Largest loss-$205.58
key_ratios
Profit factor1.40
Win/Loss ratio1.35
Payout ratio1.04
Expectancy$15.79
Avg trade$15.79
Bars in trade9.85
streaks
Max consec wins9
Max consec losses5
Avg consec wins2.14
Avg consec losses1.60
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

$6,520
Net profit
$22,743
Gross profit
$16,223
Gross loss
2.54%
CAGR
3.10
AHPR
$326
Yearly avg profit
$27
Monthly avg profit
$0.87
Daily avg profit
3.26%
Yearly avg return
0.41%
Exposure
413
Trades
$15.79
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 pips14789 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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