NeuronAlgo
~/backtests/na-dow-l-024 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Musca

code: NA-IDX-035 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,265 trades 482 win 54.98%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,265
gross profit$27,036
gross loss$19,771
win_rate
54.98%WIN
█████░░░░░
Win rate
265W / 217L
profit_factor
1.37PF
█████░░░░░
Profit factor
gross P / gross L
cagr
2.77%CAGR
░░░░░░░░░
CAGR
annualized
max_drawdown
-9.77%MAX DD
░░░░░░░░░
Max drawdown
$1,309
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 482 points; starts at $9,800.84, ends at $17,265.17; observed range $9,704.92–$17,265.17.

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
54.98%win
Wins265
Losses217
Total482
win_vs_loss_size
Avg win$102.02
Avg loss$91.11
Largest win$457.38
Largest loss-$204.12
key_ratios
Profit factor1.37
Win/Loss ratio1.22
Payout ratio1.12
Expectancy$15.07
Avg trade$15.07
Bars in trade16.83
streaks
Max consec wins10
Max consec losses6
Avg consec wins2.30
Avg consec losses1.89
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

$7,265
Net profit
$27,036
Gross profit
$19,771
Gross loss
2.77%
CAGR
3.46
AHPR
$363
Yearly avg profit
$30
Monthly avg profit
$0.97
Daily avg profit
3.63%
Yearly avg return
0.79%
Exposure
482
Trades
$15.07
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 pips17057 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

Explore the strategy behind this run

See the full methodology, risk profile, and live track record — or browse every backtest in the library.

Generated from stored backtest metrics · NeuronAlgo research desk

Scroll to Top