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~/backtests/na-gj-l-001 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Omicron Pavo

code: NA-GJ-L-001 GBPJPY_Oanda H1 2006-01-01 → 2026-06-19
net $14,459 trades 500 win 56.20%
Verified · OTS67e542ad5495…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $14,459
gross profit$30,203
gross loss$15,744
win_rate
56.20%WIN
██████░░░░
Win rate
281W / 219L
profit_factor
1.92PF
██████░░░░
Profit factor
gross P / gross L
cagr
4.57%CAGR
██░░░░░░░░
CAGR
annualized
max_drawdown
-7.11%MAX DD
█░░░░░░░░░
Max drawdown
$915
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 500 points; starts at $10,209.19, ends at $24,458.90; observed range $10,209.19–$24,716.49.

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
56.20%win
Wins281
Losses219
Total500
win_vs_loss_size
Avg win$107.48
Avg loss$71.89
Largest win$229.12
Largest loss-$200.92
key_ratios
Profit factor1.92
Win/Loss ratio1.28
Payout ratio1.50
Expectancy$28.92
Avg trade$28.92
Bars in trade33.45
streaks
Max consec wins10
Max consec losses7
Avg consec wins2.27
Avg consec losses1.77
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

$14,459
Net profit
$30,203
Gross profit
$15,744
Gross loss
4.57%
CAGR
6.89
AHPR
$723
Yearly avg profit
$59
Monthly avg profit
$1.93
Daily avg profit
7.23%
Yearly avg return
10.74%
Exposure
500
Trades
$28.92
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentGBPJPY_Oanda
timeframeH1
period start2006-01-01
period end2026-06-19
profit in pips10306.1 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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