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~/backtests/na-dow-l-017 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Lepus

code: NA-IDX-028 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $5,929 trades 509 win 55.01%
Verified · OTS4bab0c4d618c…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $5,929
gross profit$24,377
gross loss$18,448
win_rate
55.01%WIN
██████░░░░
Win rate
280W / 229L
profit_factor
1.32PF
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Profit factor
gross P / gross L
cagr
2.36%CAGR
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CAGR
annualized
max_drawdown
-21.93%MAX DD
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Max drawdown
$2,508
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 509 points; starts at $10,111.54, ends at $15,929.25; observed range $8,929.03–$15,929.25.

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
55.01%win
Wins280
Losses229
Total509
win_vs_loss_size
Avg win$87.06
Avg loss$80.56
Largest win$412.16
Largest loss-$203.29
key_ratios
Profit factor1.32
Win/Loss ratio1.22
Payout ratio1.08
Expectancy$11.65
Avg trade$11.65
Bars in trade8.68
streaks
Max consec wins11
Max consec losses6
Avg consec wins2.06
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

$5,929
Net profit
$24,377
Gross profit
$18,448
Gross loss
2.36%
CAGR
2.82
AHPR
$296
Yearly avg profit
$24
Monthly avg profit
$0.79
Daily avg profit
2.96%
Yearly avg return
0.17%
Exposure
509
Trades
$11.65
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 pips14202 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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