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~/backtests/na-gj-l-006 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Cancer

code: NA-FX-018 GBPJPY_Oanda H1 2003-07-07 → 2026-06-19
net $10,506 trades 663 win 47.51%
Verified · OTS2fef3806b50f…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $10,506
gross profit$39,778
gross loss$29,273
win_rate
47.51%WIN
█████░░░░░
Win rate
315W / 348L
profit_factor
1.36PF
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Profit factor
gross P / gross L
cagr
3.32%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-12.46%MAX DD
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Max drawdown
$1,898
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 663 points; starts at $9,823.28, ends at $20,505.55; observed range $9,734.76–$20,505.55.

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
47.51%win
Wins315
Losses348
Total663
win_vs_loss_size
Avg win$126.28
Avg loss$84.12
Largest win$1,086.98
Largest loss-$205.02
key_ratios
Profit factor1.36
Win/Loss ratio0.91
Payout ratio1.50
Expectancy$15.85
Avg trade$15.85
Bars in trade34.24
streaks
Max consec wins7
Max consec losses8
Avg consec wins1.98
Avg consec losses2.19
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

$10,506
Net profit
$39,778
Gross profit
$29,273
Gross loss
3.32%
CAGR
4.38
AHPR
$478
Yearly avg profit
$38
Monthly avg profit
$1.25
Daily avg profit
4.78%
Yearly avg return
10.03%
Exposure
663
Trades
$15.85
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentGBPJPY_Oanda
timeframeH1
period start2003-07-07
period end2026-06-19
profit in pips5856.5 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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