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~/backtests/na-spx-l-004 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Mirach

code: NA-SPX-L-004 SPX500_Oanda H1 2006-01-02 → 2026-06-19
net $4,421 trades 379 win 62.80%
Verified · OTS6e6a7ebe6b12…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $4,421
gross profit$18,711
gross loss$14,289
win_rate
62.80%WIN
██████░░░░
Win rate
238W / 141L
profit_factor
1.31PF
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Profit factor
gross P / gross L
cagr
1.85%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-10.45%MAX DD
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Max drawdown
$1,291
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 758 points; starts at $10,000.00, ends at $14,421.36; observed range $9,257.27–$14,423.20.

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
62.80%win
Wins238
Losses141
Total379
win_vs_loss_size
Avg win$78.62
Avg loss$101.34
Largest win$299.12
Largest loss-$214.71
key_ratios
Profit factor1.31
Win/Loss ratio1.69
Payout ratio0.78
Expectancy$11.67
Avg trade$11.67
Bars in trade1.93
streaks
Max consec wins10
Max consec losses4
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

$4,421
Net profit
$18,711
Gross profit
$14,289
Gross loss
1.85%
CAGR
2.11
AHPR
$221
Yearly avg profit
$18
Monthly avg profit
$0.59
Daily avg profit
2.21%
Yearly avg return
0.00%
Exposure
379
Trades
$11.67
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 pips13975 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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