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~/backtests/na-dow-l-022 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Microscopium

code: NA-IDX-033 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $6,008 trades 446 win 48.43%
Verified · OTSe13b165fcade…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $6,008
gross profit$15,927
gross loss$9,919
win_rate
48.43%WIN
█████░░░░░
Win rate
216W / 230L
profit_factor
1.61PF
█████░░░░░
Profit factor
gross P / gross L
cagr
2.38%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-6.91%MAX DD
█░░░░░░░░░
Max drawdown
$837
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 446 points; starts at $9,972.17, ends at $16,008.42; observed range $9,927.09–$16,008.42.

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
48.43%win
Wins216
Losses230
Total446
win_vs_loss_size
Avg win$73.74
Avg loss$43.13
Largest win$428.83
Largest loss-$204.00
key_ratios
Profit factor1.61
Win/Loss ratio0.94
Payout ratio1.71
Expectancy$13.47
Avg trade$13.47
Bars in trade7.31
streaks
Max consec wins7
Max consec losses8
Avg consec wins1.83
Avg consec losses1.95
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

$6,008
Net profit
$15,927
Gross profit
$9,919
Gross loss
2.38%
CAGR
2.86
AHPR
$300
Yearly avg profit
$25
Monthly avg profit
$0.80
Daily avg profit
3.00%
Yearly avg return
0.23%
Exposure
446
Trades
$13.47
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 pips15676 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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