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~/backtests/na-nas-l-015 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Mu Volans

code: NA-NAS-L-015 NasdaQ_Oanda H1 2006-01-02 → 2026-06-19
net $10,677 trades 501 win 57.09%
Verified · OTS3529a495209a…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $10,677
gross profit$43,152
gross loss$32,475
win_rate
57.09%WIN
██████░░░░
Win rate
286W / 215L
profit_factor
1.33PF
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Profit factor
gross P / gross L
cagr
3.70%CAGR
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CAGR
annualized
max_drawdown
-24.73%MAX DD
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Max drawdown
$2,806
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,002 points; starts at $10,000.00, ends at $20,676.76; observed range $8,343.82–$20,870.44.

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
57.09%win
Wins286
Losses215
Total501
win_vs_loss_size
Avg win$150.88
Avg loss$151.05
Largest win$772.20
Largest loss-$217.08
key_ratios
Profit factor1.33
Win/Loss ratio1.33
Payout ratio1.00
Expectancy$21.31
Avg trade$21.31
Bars in trade16.95
streaks
Max consec wins12
Max consec losses5
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

$10,677
Net profit
$43,152
Gross profit
$32,475
Gross loss
3.70%
CAGR
5.08
AHPR
$534
Yearly avg profit
$44
Monthly avg profit
$1.43
Daily avg profit
5.34%
Yearly avg return
7.88%
Exposure
501
Trades
$21.31
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 pips125436.05 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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