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~/backtests/na-dow-l-037 backtest

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Backtest evidence

Electra

code: NA-DOW-L-037 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $6,536 trades 450 win 48.67%
Verified · OTS5d0825594b71…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $6,536
gross profit$24,823
gross loss$18,287
win_rate
48.67%WIN
█████░░░░░
Win rate
219W / 231L
profit_factor
1.36PF
█████░░░░░
Profit factor
gross P / gross L
cagr
2.55%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-11.25%MAX DD
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Max drawdown
$1,511
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 450 points; starts at $9,796.72, ends at $16,536.13; observed range $9,157.10–$16,536.13.

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
48.67%win
Wins219
Losses231
Total450
win_vs_loss_size
Avg win$113.35
Avg loss$79.17
Largest win$779.52
Largest loss-$207.27
key_ratios
Profit factor1.36
Win/Loss ratio0.95
Payout ratio1.43
Expectancy$14.52
Avg trade$14.52
Bars in trade15.33
streaks
Max consec wins7
Max consec losses9
Avg consec wins1.83
Avg consec losses1.93
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

$6,536
Net profit
$24,823
Gross profit
$18,287
Gross loss
2.55%
CAGR
3.11
AHPR
$327
Yearly avg profit
$27
Monthly avg profit
$0.87
Daily avg profit
3.27%
Yearly avg return
0.71%
Exposure
450
Trades
$14.52
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 pips9745 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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