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~/backtests/na-dow-l-042 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Tucana

code: NA-IDX-053 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $9,462 trades 552 win 52.90%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $9,462
gross profit$35,518
gross loss$26,056
win_rate
52.90%WIN
█████░░░░░
Win rate
292W / 260L
profit_factor
1.36PF
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Profit factor
gross P / gross L
cagr
3.39%CAGR
░░░░░░░░░
CAGR
annualized
max_drawdown
-18.54%MAX DD
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Max drawdown
$1,896
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 552 points; starts at $10,095.90, ends at $19,461.67; observed range $8,332.83–$19,461.67.

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
52.90%win
Wins292
Losses260
Total552
win_vs_loss_size
Avg win$121.64
Avg loss$100.22
Largest win$626.89
Largest loss-$208.52
key_ratios
Profit factor1.36
Win/Loss ratio1.12
Payout ratio1.21
Expectancy$17.14
Avg trade$17.14
Bars in trade13.80
streaks
Max consec wins7
Max consec losses8
Avg consec wins2.09
Avg consec losses1.87
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

$9,462
Net profit
$35,518
Gross profit
$26,056
Gross loss
3.39%
CAGR
4.51
AHPR
$473
Yearly avg profit
$39
Monthly avg profit
$1.27
Daily avg profit
4.73%
Yearly avg return
0.56%
Exposure
552
Trades
$17.14
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 pips12185 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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