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~/backtests/na-nas-l-005 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Iota Izar

code: NA-NAS-L-005 NasdaQ_Oanda H1 2006-01-02 → 2026-06-19
net $6,834 trades 469 win 64.96%
Verified · OTS494e7e21f930…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $6,834
gross profit$23,101
gross loss$16,267
win_rate
64.96%WIN
██████░░░░
Win rate
304W / 164L
profit_factor
1.42PF
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Profit factor
gross P / gross L
cagr
2.64%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-8.49%MAX DD
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Max drawdown
$1,074
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 938 points; starts at $10,000.00, ends at $16,833.61; observed range $10,000.00–$17,183.18.

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
64.96%win
Wins304
Losses164
Total469
win_vs_loss_size
Avg win$75.99
Avg loss$99.19
Largest win$109.48
Largest loss-$209.76
key_ratios
Profit factor1.42
Win/Loss ratio1.85
Payout ratio0.77
Expectancy$14.57
Avg trade$14.57
Bars in trade3.18
streaks
Max consec wins10
Max consec losses6
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

$6,834
Net profit
$23,101
Gross profit
$16,267
Gross loss
2.64%
CAGR
3.25
AHPR
$342
Yearly avg profit
$28
Monthly avg profit
$0.91
Daily avg profit
3.42%
Yearly avg return
0.03%
Exposure
469
Trades
$14.57
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 pips95103.07 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.
nextok

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Generated from stored backtest metrics · NeuronAlgo research desk

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