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~/backtests/na-dow-l-009 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Equuleus

code: NA-IDX-020 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $5,946 trades 520 win 54.04%
Verified · OTSe617951b0a8b…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $5,946
gross profit$22,700
gross loss$16,754
win_rate
54.04%WIN
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Win rate
281W / 239L
profit_factor
1.35PF
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Profit factor
gross P / gross L
cagr
2.36%CAGR
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CAGR
annualized
max_drawdown
-11.48%MAX DD
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Max drawdown
$1,415
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 520 points; starts at $10,129.74, ends at $15,945.87; observed range $9,839.67–$15,945.87.

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
54.04%win
Wins281
Losses239
Total520
win_vs_loss_size
Avg win$80.78
Avg loss$70.10
Largest win$506.26
Largest loss-$206.83
key_ratios
Profit factor1.35
Win/Loss ratio1.18
Payout ratio1.15
Expectancy$11.43
Avg trade$11.43
Bars in trade7.69
streaks
Max consec wins6
Max consec losses7
Avg consec wins2.02
Avg consec losses1.73
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

$5,946
Net profit
$22,700
Gross profit
$16,754
Gross loss
2.36%
CAGR
2.83
AHPR
$297
Yearly avg profit
$24
Monthly avg profit
$0.80
Daily avg profit
2.97%
Yearly avg return
0.48%
Exposure
520
Trades
$11.43
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 pips17268 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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