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~/backtests/na-dow-l-015 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Indus

code: NA-IDX-026 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $6,258 trades 474 win 56.12%
Verified · OTS494e7e21f930…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $6,258
gross profit$23,627
gross loss$17,368
win_rate
56.12%WIN
██████░░░░
Win rate
266W / 208L
profit_factor
1.36PF
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Profit factor
gross P / gross L
cagr
2.46%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-16.62%MAX DD
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Max drawdown
$1,810
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 474 points; starts at $10,186.94, ends at $16,258.30; observed range $9,077.57–$16,292.38.

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
56.12%win
Wins266
Losses208
Total474
win_vs_loss_size
Avg win$88.82
Avg loss$83.50
Largest win$506.26
Largest loss-$206.83
key_ratios
Profit factor1.36
Win/Loss ratio1.28
Payout ratio1.06
Expectancy$13.20
Avg trade$13.20
Bars in trade9.09
streaks
Max consec wins11
Max consec losses6
Avg consec wins2.22
Avg consec losses1.73
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

$6,258
Net profit
$23,627
Gross profit
$17,368
Gross loss
2.46%
CAGR
2.98
AHPR
$313
Yearly avg profit
$26
Monthly avg profit
$0.84
Daily avg profit
3.13%
Yearly avg return
0.50%
Exposure
474
Trades
$13.20
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 pips16088 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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