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~/backtests/na-dow-l-044 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Upsilon Rasalhague

code: NA-DOW-L-044 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $12,156 trades 450 win 42.89%
Verified · OTSbc56b0981bf1…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $12,156
gross profit$44,825
gross loss$32,669
win_rate
42.89%WIN
████░░░░░░
Win rate
193W / 257L
profit_factor
1.37PF
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Profit factor
gross P / gross L
cagr
4.06%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-23.04%MAX DD
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Max drawdown
$2,826
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 450 points; starts at $9,789.16, ends at $22,155.90; observed range $9,281.86–$22,155.90.

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
42.89%win
Wins193
Losses257
Total450
win_vs_loss_size
Avg win$232.25
Avg loss$127.12
Largest win$377.52
Largest loss-$215.07
key_ratios
Profit factor1.37
Win/Loss ratio0.75
Payout ratio1.83
Expectancy$27.01
Avg trade$27.01
Bars in trade9.82
streaks
Max consec wins5
Max consec losses12
Avg consec wins1.72
Avg consec losses2.29
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

$12,156
Net profit
$44,825
Gross profit
$32,669
Gross loss
4.06%
CAGR
5.79
AHPR
$608
Yearly avg profit
$50
Monthly avg profit
$1.63
Daily avg profit
6.08%
Yearly avg return
1.08%
Exposure
450
Trades
$27.01
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 pips11482 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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