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~/backtests/na-dow-l-043 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Virgo

code: NA-IDX-054 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,471 trades 442 win 52.49%
Verified · OTS5be5ca2ec54e…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,471
gross profit$29,161
gross loss$21,690
win_rate
52.49%WIN
█████░░░░░
Win rate
232W / 210L
profit_factor
1.34PF
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Profit factor
gross P / gross L
cagr
2.83%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-12.84%MAX DD
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Max drawdown
$1,336
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 442 points; starts at $10,105.84, ends at $17,471.14; observed range $9,071.57–$17,905.14.

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
52.49%win
Wins232
Losses210
Total442
win_vs_loss_size
Avg win$125.69
Avg loss$103.29
Largest win$618.77
Largest loss-$208.56
key_ratios
Profit factor1.34
Win/Loss ratio1.10
Payout ratio1.22
Expectancy$16.90
Avg trade$16.90
Bars in trade12.50
streaks
Max consec wins11
Max consec losses6
Avg consec wins2.07
Avg consec losses1.89
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

$7,471
Net profit
$29,161
Gross profit
$21,690
Gross loss
2.83%
CAGR
3.56
AHPR
$374
Yearly avg profit
$30
Monthly avg profit
$1.00
Daily avg profit
3.74%
Yearly avg return
0.60%
Exposure
442
Trades
$16.90
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 pips12840 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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