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~/backtests/na-dow-l-029 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Pictor

code: NA-IDX-040 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $11,031 trades 385 win 38.18%
Verified · OTSbb2806b534a3…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $11,031
gross profit$31,164
gross loss$20,134
win_rate
38.18%WIN
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Win rate
147W / 238L
profit_factor
1.55PF
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Profit factor
gross P / gross L
cagr
3.79%CAGR
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CAGR
annualized
max_drawdown
-11.25%MAX DD
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Max drawdown
$1,610
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 385 points; starts at $9,788.44, ends at $21,030.74; observed range $9,788.44–$21,309.09.

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
38.18%win
Wins147
Losses238
Total385
win_vs_loss_size
Avg win$212.00
Avg loss$84.59
Largest win$897.84
Largest loss-$214.49
key_ratios
Profit factor1.55
Win/Loss ratio0.62
Payout ratio2.51
Expectancy$28.65
Avg trade$28.65
Bars in trade10.91
streaks
Max consec wins5
Max consec losses13
Avg consec wins1.63
Avg consec losses2.62
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

$11,031
Net profit
$31,164
Gross profit
$20,134
Gross loss
3.79%
CAGR
5.25
AHPR
$552
Yearly avg profit
$45
Monthly avg profit
$1.48
Daily avg profit
5.52%
Yearly avg return
0.50%
Exposure
385
Trades
$28.65
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 pips11219 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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