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~/backtests/na-spx-l-001 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Nu Sadr

code: NA-SPX-L-001 SPX500_Oanda H1 2006-01-02 → 2026-06-19
net $7,450 trades 516 win 55.43%
Verified · OTS7c794f024c0e…
view strategy
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,450
gross profit$31,292
gross loss$23,842
win_rate
55.43%WIN
██████░░░░
Win rate
286W / 230L
profit_factor
1.31PF
████░░░░░░
Profit factor
gross P / gross L
cagr
2.82%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-11.93%MAX DD
█░░░░░░░░░
Max drawdown
$1,692
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,032 points; starts at $10,000.00, ends at $17,450.04; observed range $9,365.82–$17,754.26.

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
55.43%win
Wins286
Losses230
Total516
win_vs_loss_size
Avg win$109.41
Avg loss$103.66
Largest win$499.84
Largest loss-$217.98
key_ratios
Profit factor1.31
Win/Loss ratio1.24
Payout ratio1.06
Expectancy$14.44
Avg trade$14.44
Bars in trade2.13
streaks
Max consec wins10
Max consec losses7
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

$7,450
Net profit
$31,292
Gross profit
$23,842
Gross loss
2.82%
CAGR
3.55
AHPR
$373
Yearly avg profit
$30
Monthly avg profit
$1.00
Daily avg profit
3.73%
Yearly avg return
0.09%
Exposure
516
Trades
$14.44
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 pips13780 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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