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~/backtests/na-dow-l-001 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Chamaeleon

code: NA-IDX-012 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $10,163 trades 519 win 54.72%
Verified · OTS2686564731e0…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $10,163
gross profit$40,668
gross loss$30,505
win_rate
54.72%WIN
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Win rate
284W / 235L
profit_factor
1.33PF
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Profit factor
gross P / gross L
cagr
3.57%CAGR
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CAGR
annualized
max_drawdown
-15.48%MAX DD
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Max drawdown
$2,020
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 519 points; starts at $9,976.03, ends at $20,162.55; observed range $9,315.59–$20,534.30.

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
54.72%win
Wins284
Losses235
Total519
win_vs_loss_size
Avg win$143.20
Avg loss$129.81
Largest win$760.59
Largest loss-$211.41
key_ratios
Profit factor1.33
Win/Loss ratio1.21
Payout ratio1.10
Expectancy$19.58
Avg trade$19.58
Bars in trade11.81
streaks
Max consec wins8
Max consec losses7
Avg consec wins2.20
Avg consec losses1.82
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

$10,163
Net profit
$40,668
Gross profit
$30,505
Gross loss
3.57%
CAGR
4.84
AHPR
$508
Yearly avg profit
$41
Monthly avg profit
$1.36
Daily avg profit
5.08%
Yearly avg return
0.67%
Exposure
519
Trades
$19.58
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 pips10691 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.
nextok

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Generated from stored backtest metrics · NeuronAlgo research desk

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