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~/backtests/na-dow-l-019 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Lupus

code: NA-IDX-030 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $8,306 trades 558 win 58.60%
Verified · OTS570bdb789eac…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $8,306
gross profit$25,807
gross loss$17,500
win_rate
58.60%WIN
██████░░░░
Win rate
327W / 231L
profit_factor
1.47PF
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Profit factor
gross P / gross L
cagr
3.07%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-9.89%MAX DD
█░░░░░░░░░
Max drawdown
$1,317
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 558 points; starts at $10,284.97, ends at $18,306.29; observed range $9,873.70–$18,306.29.

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
58.60%win
Wins327
Losses231
Total558
win_vs_loss_size
Avg win$78.92
Avg loss$75.76
Largest win$408.96
Largest loss-$204.91
key_ratios
Profit factor1.47
Win/Loss ratio1.42
Payout ratio1.04
Expectancy$14.89
Avg trade$14.89
Bars in trade14.11
streaks
Max consec wins9
Max consec losses7
Avg consec wins2.46
Avg consec losses1.75
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

$8,306
Net profit
$25,807
Gross profit
$17,500
Gross loss
3.07%
CAGR
3.96
AHPR
$415
Yearly avg profit
$34
Monthly avg profit
$1.11
Daily avg profit
4.15%
Yearly avg return
0.62%
Exposure
558
Trades
$14.89
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 pips25005 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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