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~/backtests/na-dow-l-034 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Sagitta

code: NA-IDX-045 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $16,101 trades 559 win 48.66%
Verified · OTSd98e0902b32e…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $16,101
gross profit$54,583
gross loss$38,482
win_rate
48.66%WIN
█████░░░░░
Win rate
272W / 287L
profit_factor
1.42PF
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Profit factor
gross P / gross L
cagr
4.91%CAGR
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CAGR
annualized
max_drawdown
-23.01%MAX DD
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Max drawdown
$3,431
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 559 points; starts at $9,791.44, ends at $26,100.79; observed range $9,571.00–$26,234.56.

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
48.66%win
Wins272
Losses287
Total559
win_vs_loss_size
Avg win$200.67
Avg loss$134.09
Largest win$1,753.92
Largest loss-$217.14
key_ratios
Profit factor1.42
Win/Loss ratio0.95
Payout ratio1.50
Expectancy$28.80
Avg trade$28.80
Bars in trade10.75
streaks
Max consec wins7
Max consec losses11
Avg consec wins2.09
Avg consec losses2.21
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

$16,101
Net profit
$54,583
Gross profit
$38,482
Gross loss
4.91%
CAGR
7.67
AHPR
$805
Yearly avg profit
$66
Monthly avg profit
$2.15
Daily avg profit
8.05%
Yearly avg return
0.39%
Exposure
559
Trades
$28.80
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentDowJones_Oanda
timeframeH1
period start2006-01-03
period end2026-06-19
profit in pips15642 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.
nextok

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Generated from stored backtest metrics · NeuronAlgo research desk

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