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~/backtests/na-dow-l-012 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Menkalinan

code: NA-IDX-104 SPX500_Oanda H1 2006-01-02 → 2026-06-19
net $9,608 trades 419 win 55.37%
Verified · OTS447268dd1024…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $9,608
gross profit$35,648
gross loss$26,040
win_rate
55.37%WIN
██████░░░░
Win rate
232W / 187L
profit_factor
1.37PF
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Profit factor
gross P / gross L
cagr
3.42%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-23.86%MAX DD
██░░░░░░░░
Max drawdown
$2,777
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 838 points; starts at $10,000.00, ends at $19,607.71; observed range $8,859.91–$19,607.71.

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
55.37%win
Wins232
Losses187
Total419
win_vs_loss_size
Avg win$153.66
Avg loss$139.25
Largest win$547.02
Largest loss-$208.23
key_ratios
Profit factor1.37
Win/Loss ratio1.24
Payout ratio1.10
Expectancy$22.93
Avg trade$22.93
Bars in trade22.12
streaks
Max consec wins8
Max consec losses8
Avg consec wins1.00
Avg consec losses1.00
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

$9,608
Net profit
$35,648
Gross profit
$26,040
Gross loss
3.42%
CAGR
4.58
AHPR
$480
Yearly avg profit
$39
Monthly avg profit
$1.29
Daily avg profit
4.80%
Yearly avg return
9.18%
Exposure
419
Trades
$22.93
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentSPX500_Oanda
timeframeH1
period start2006-01-02
period end2026-06-19
profit in pips26533 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.
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Generated from stored backtest metrics · NeuronAlgo research desk

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