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~/backtests/na-dow-l-039 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Sextans

code: NA-IDX-050 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $9,936 trades 804 win 54.85%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $9,936
gross profit$41,334
gross loss$31,398
win_rate
54.85%WIN
█████░░░░░
Win rate
441W / 363L
profit_factor
1.32PF
████░░░░░░
Profit factor
gross P / gross L
cagr
3.51%CAGR
░░░░░░░░░
CAGR
annualized
max_drawdown
-14.40%MAX DD
░░░░░░░░░
Max drawdown
$1,986
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 804 points; starts at $9,965.20, ends at $19,936.14; observed range $8,911.72–$20,118.91.

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
54.85%win
Wins441
Losses363
Total804
win_vs_loss_size
Avg win$93.73
Avg loss$86.50
Largest win$698.32
Largest loss-$205.14
key_ratios
Profit factor1.32
Win/Loss ratio1.21
Payout ratio1.08
Expectancy$12.36
Avg trade$12.36
Bars in trade17.44
streaks
Max consec wins8
Max consec losses8
Avg consec wins2.12
Avg consec losses1.74
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

$9,936
Net profit
$41,334
Gross profit
$31,398
Gross loss
3.51%
CAGR
4.73
AHPR
$497
Yearly avg profit
$41
Monthly avg profit
$1.33
Daily avg profit
4.97%
Yearly avg return
1.26%
Exposure
804
Trades
$12.36
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 pips26032 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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