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~/backtests/na-dow-l-013 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Horologium

code: NA-IDX-024 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,222 trades 461 win 57.48%
Verified · OTS909bd8dd404a…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,222
gross profit$23,466
gross loss$16,244
win_rate
57.48%WIN
██████░░░░
Win rate
265W / 196L
profit_factor
1.44PF
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Profit factor
gross P / gross L
cagr
2.76%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-19.01%MAX DD
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Max drawdown
$2,142
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 461 points; starts at $10,129.74, ends at $17,221.92; observed range $9,123.21–$17,221.92.

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
57.48%win
Wins265
Losses196
Total461
win_vs_loss_size
Avg win$88.55
Avg loss$82.88
Largest win$412.16
Largest loss-$205.56
key_ratios
Profit factor1.44
Win/Loss ratio1.35
Payout ratio1.07
Expectancy$15.67
Avg trade$15.67
Bars in trade9.44
streaks
Max consec wins9
Max consec losses6
Avg consec wins2.35
Avg consec losses1.75
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

$7,222
Net profit
$23,466
Gross profit
$16,244
Gross loss
2.76%
CAGR
3.44
AHPR
$361
Yearly avg profit
$29
Monthly avg profit
$0.97
Daily avg profit
3.61%
Yearly avg return
0.37%
Exposure
461
Trades
$15.67
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 pips15116 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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