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~/backtests/na-dow-l-028 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Pavo

code: NA-IDX-039 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $8,146 trades 354 win 58.19%
Verified · OTS053d47e625a4…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $8,146
gross profit$22,173
gross loss$14,026
win_rate
58.19%WIN
██████░░░░
Win rate
206W / 148L
profit_factor
1.58PF
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Profit factor
gross P / gross L
cagr
3.02%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-9.64%MAX DD
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Max drawdown
$1,195
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 354 points; starts at $10,073.63, ends at $18,146.35; observed range $9,264.35–$18,259.63.

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
58.19%win
Wins206
Losses148
Total354
win_vs_loss_size
Avg win$107.63
Avg loss$94.77
Largest win$556.32
Largest loss-$211.42
key_ratios
Profit factor1.58
Win/Loss ratio1.39
Payout ratio1.14
Expectancy$23.01
Avg trade$23.01
Bars in trade10.67
streaks
Max consec wins6
Max consec losses7
Avg consec wins2.34
Avg consec losses1.68
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

$8,146
Net profit
$22,173
Gross profit
$14,026
Gross loss
3.02%
CAGR
3.88
AHPR
$407
Yearly avg profit
$33
Monthly avg profit
$1.09
Daily avg profit
4.07%
Yearly avg return
0.75%
Exposure
354
Trades
$23.01
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 pips12743 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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