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~/backtests/na-gj-l-007 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Capricornus

code: NA-FX-019 GBPJPY_Oanda H1 2003-07-07 → 2026-06-19
net $12,612 trades 543 win 46.22%
Verified · OTS13cd90313488…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $12,612
gross profit$42,834
gross loss$30,222
win_rate
46.22%WIN
█████░░░░░
Win rate
251W / 292L
profit_factor
1.42PF
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Profit factor
gross P / gross L
cagr
3.78%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-17.89%MAX DD
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Max drawdown
$2,167
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 543 points; starts at $10,219.24, ends at $22,612.10; observed range $9,945.28–$22,764.08.

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
46.22%win
Wins251
Losses292
Total543
win_vs_loss_size
Avg win$170.66
Avg loss$103.50
Largest win$321.09
Largest loss-$208.54
key_ratios
Profit factor1.42
Win/Loss ratio0.86
Payout ratio1.65
Expectancy$23.23
Avg trade$23.23
Bars in trade26.35
streaks
Max consec wins9
Max consec losses7
Avg consec wins1.81
Avg consec losses2.12
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

$12,612
Net profit
$42,834
Gross profit
$30,222
Gross loss
3.78%
CAGR
5.48
AHPR
$573
Yearly avg profit
$46
Monthly avg profit
$1.50
Daily avg profit
5.73%
Yearly avg return
6.17%
Exposure
543
Trades
$23.23
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 pips6848.6 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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