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~/backtests/na-nas-l-012 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Alioth

code: NA-NAS-L-012 NasdaQ_Oanda H1 2006-01-02 → 2026-06-19
net $6,545 trades 462 win 71.00%
Verified · OTSe13b165fcade…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $6,545
gross profit$25,459
gross loss$18,914
win_rate
71.00%WIN
███████░░░
Win rate
328W / 134L
profit_factor
1.35PF
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Profit factor
gross P / gross L
cagr
2.55%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-13.65%MAX DD
█░░░░░░░░░
Max drawdown
$1,478
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 924 points; starts at $10,000.00, ends at $16,544.92; observed range $9,349.22–$17,016.30.

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
71.00%win
Wins328
Losses134
Total462
win_vs_loss_size
Avg win$77.62
Avg loss$141.15
Largest win$383.30
Largest loss-$211.20
key_ratios
Profit factor1.35
Win/Loss ratio2.45
Payout ratio0.55
Expectancy$14.17
Avg trade$14.17
Bars in trade7.32
streaks
Max consec wins15
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

$6,545
Net profit
$25,459
Gross profit
$18,914
Gross loss
2.55%
CAGR
3.12
AHPR
$327
Yearly avg profit
$27
Monthly avg profit
$0.88
Daily avg profit
3.27%
Yearly avg return
1.91%
Exposure
462
Trades
$14.17
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 pips77934.9 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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