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~/backtests/na-dow-l-038 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Serpens

code: NA-IDX-049 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $11,960 trades 723 win 55.46%
Verified · OTS605b7ebe7576…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $11,960
gross profit$46,260
gross loss$34,300
win_rate
55.46%WIN
██████░░░░
Win rate
401W / 322L
profit_factor
1.35PF
█████░░░░░
Profit factor
gross P / gross L
cagr
4.01%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-14.06%MAX DD
█░░░░░░░░░
Max drawdown
$2,161
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 723 points; starts at $9,953.47, ends at $21,959.87; observed range $8,936.70–$22,061.09.

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
55.46%win
Wins401
Losses322
Total723
win_vs_loss_size
Avg win$115.36
Avg loss$106.52
Largest win$705.04
Largest loss-$208.44
key_ratios
Profit factor1.35
Win/Loss ratio1.25
Payout ratio1.08
Expectancy$16.54
Avg trade$16.54
Bars in trade11.57
streaks
Max consec wins8
Max consec losses7
Avg consec wins2.19
Avg consec losses1.75
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

$11,960
Net profit
$46,260
Gross profit
$34,300
Gross loss
4.01%
CAGR
5.70
AHPR
$598
Yearly avg profit
$49
Monthly avg profit
$1.60
Daily avg profit
5.98%
Yearly avg return
1.04%
Exposure
723
Trades
$16.54
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 pips22337 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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