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

$ cd /evidence  ·  evidence archive

Backtest evidence

Camelopardalis

code: NA-FX-017 GBPJPY_Oanda H1 2003-07-07 → 2026-06-19
net $11,586 trades 403 win 45.66%
Verified · OTSed7c39363873…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $11,586
gross profit$33,348
gross loss$21,762
win_rate
45.66%WIN
█████░░░░░
Win rate
184W / 219L
profit_factor
1.53PF
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Profit factor
gross P / gross L
cagr
3.56%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-22.83%MAX DD
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Max drawdown
$3,081
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 403 points; starts at $9,921.14, ends at $21,585.96; observed range $9,566.05–$21,790.70.

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
45.66%win
Wins184
Losses219
Total403
win_vs_loss_size
Avg win$181.24
Avg loss$99.37
Largest win$3,385.42
Largest loss-$207.72
key_ratios
Profit factor1.53
Win/Loss ratio0.84
Payout ratio1.82
Expectancy$28.75
Avg trade$28.75
Bars in trade21.98
streaks
Max consec wins7
Max consec losses10
Avg consec wins1.92
Avg consec losses2.28
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

$11,586
Net profit
$33,348
Gross profit
$21,762
Gross loss
3.56%
CAGR
5.04
AHPR
$527
Yearly avg profit
$42
Monthly avg profit
$1.38
Daily avg profit
5.27%
Yearly avg return
4.23%
Exposure
403
Trades
$28.75
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 pips4921.1 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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