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~/backtests/na-nas-l-018 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Chi Ophiuchus

code: NA-NAS-L-018 NasdaQ_Oanda H1 2006-01-02 → 2026-06-19
net $14,981 trades 589 win 47.88%
Verified · OTS053d47e625a4…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $14,981
gross profit$62,846
gross loss$47,865
win_rate
47.88%WIN
█████░░░░░
Win rate
282W / 307L
profit_factor
1.31PF
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Profit factor
gross P / gross L
cagr
4.68%CAGR
██░░░░░░░░
CAGR
annualized
max_drawdown
-26.96%MAX DD
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Max drawdown
$3,208
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,178 points; starts at $10,000.00, ends at $24,981.22; observed range $8,428.60–$24,981.22.

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
47.88%win
Wins282
Losses307
Total589
win_vs_loss_size
Avg win$222.86
Avg loss$155.91
Largest win$732.26
Largest loss-$229.36
key_ratios
Profit factor1.31
Win/Loss ratio0.92
Payout ratio1.43
Expectancy$25.44
Avg trade$25.43
Bars in trade29.57
streaks
Max consec wins9
Max consec losses10
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

$14,981
Net profit
$62,846
Gross profit
$47,865
Gross loss
4.68%
CAGR
7.13
AHPR
$749
Yearly avg profit
$61
Monthly avg profit
$2.00
Daily avg profit
7.49%
Yearly avg return
17.52%
Exposure
589
Trades
$25.43
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 pips141408.06 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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