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~/backtests/na-dow-l-014 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Hydrus

code: NA-IDX-025 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,594 trades 643 win 52.88%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,594
gross profit$26,855
gross loss$19,261
win_rate
52.88%WIN
█████░░░░░
Win rate
340W / 303L
profit_factor
1.39PF
█████░░░░░
Profit factor
gross P / gross L
cagr
2.87%CAGR
░░░░░░░░░
CAGR
annualized
max_drawdown
-9.67%MAX DD
░░░░░░░░░
Max drawdown
$1,175
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 643 points; starts at $10,129.74, ends at $17,594.35; observed range $9,982.31–$17,594.35.

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
52.88%win
Wins340
Losses303
Total643
win_vs_loss_size
Avg win$78.99
Avg loss$63.57
Largest win$532.98
Largest loss-$206.83
key_ratios
Profit factor1.39
Win/Loss ratio1.12
Payout ratio1.24
Expectancy$11.81
Avg trade$11.81
Bars in trade7.00
streaks
Max consec wins10
Max consec losses7
Avg consec wins2.00
Avg consec losses1.79
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

$7,594
Net profit
$26,855
Gross profit
$19,261
Gross loss
2.87%
CAGR
3.62
AHPR
$380
Yearly avg profit
$31
Monthly avg profit
$1.02
Daily avg profit
3.80%
Yearly avg return
0.24%
Exposure
643
Trades
$11.81
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 pips16644 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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