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~/backtests/na-nas-l-020 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Omicron Volans

code: NA-NAS-L-020 NasdaQ_Oanda H1 2006-01-02 → 2026-06-19
net $9,791 trades 451 win 35.92%
Verified · OTS9504fb64daf5…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $9,791
gross profit$38,970
gross loss$29,179
win_rate
35.92%WIN
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Win rate
162W / 289L
profit_factor
1.34PF
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Profit factor
gross P / gross L
cagr
3.47%CAGR
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CAGR
annualized
max_drawdown
-26.77%MAX DD
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Max drawdown
$2,677
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 902 points; starts at $10,000.00, ends at $19,790.98; observed range $7,323.32–$19,790.98.

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
35.92%win
Wins162
Losses289
Total451
win_vs_loss_size
Avg win$240.56
Avg loss$100.97
Largest win$768.60
Largest loss-$223.20
key_ratios
Profit factor1.34
Win/Loss ratio0.56
Payout ratio2.38
Expectancy$21.71
Avg trade$21.71
Bars in trade19.74
streaks
Max consec wins5
Max consec losses12
Avg consec wins1.00
Avg consec losses1.00
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

$9,791
Net profit
$38,970
Gross profit
$29,179
Gross loss
3.47%
CAGR
4.66
AHPR
$490
Yearly avg profit
$40
Monthly avg profit
$1.31
Daily avg profit
4.90%
Yearly avg return
8.28%
Exposure
451
Trades
$21.71
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentNasdaQ_Oanda
timeframeH1
period start2006-01-02
period end2026-06-19
profit in pips101359.05 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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