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~/backtests/na-eur-s-001 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Ara

code: NA-FX-013 EURUSD_Oanda H1 2006-01-01 → 2026-06-19
net $14,018 trades 636 win 44.03%
Verified · OTS8cc1a91e3973…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $14,018
gross profit$49,144
gross loss$35,126
win_rate
44.03%WIN
████░░░░░░
Win rate
280W / 356L
profit_factor
1.40PF
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Profit factor
gross P / gross L
cagr
4.48%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-7.96%MAX DD
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Max drawdown
$1,211
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 636 points; starts at $9,916.99, ends at $24,018.04; observed range $9,784.69–$24,061.79.

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
44.03%win
Wins280
Losses356
Total636
win_vs_loss_size
Avg win$175.51
Avg loss$98.67
Largest win$966.46
Largest loss-$205.46
key_ratios
Profit factor1.40
Win/Loss ratio0.79
Payout ratio1.78
Expectancy$22.04
Avg trade$22.04
Bars in trade32.86
streaks
Max consec wins5
Max consec losses10
Avg consec wins1.66
Avg consec losses2.09
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

$14,018
Net profit
$49,144
Gross profit
$35,126
Gross loss
4.48%
CAGR
6.68
AHPR
$701
Yearly avg profit
$57
Monthly avg profit
$1.88
Daily avg profit
7.01%
Yearly avg return
13.46%
Exposure
636
Trades
$22.04
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentEURUSD_Oanda
timeframeH1
period start2006-01-01
period end2026-06-19
profit in pips5939 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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