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~/backtests/na-spx-l-007 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Hyades

code: NA-SPX-L-007 SPX500_Oanda M30 2006-01-02 → 2026-06-19
net $4,558 trades 308 win 47.08%
Verified · OTS605b7ebe7576…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $4,558
gross profit$15,530
gross loss$10,973
win_rate
47.08%WIN
█████░░░░░
Win rate
145W / 163L
profit_factor
1.42PF
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Profit factor
gross P / gross L
cagr
1.90%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-12.92%MAX DD
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Max drawdown
$1,481
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 616 points; starts at $10,000.00, ends at $14,557.67; observed range $9,429.11–$14,616.53.

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
47.08%win
Wins145
Losses163
Total308
win_vs_loss_size
Avg win$107.11
Avg loss$67.32
Largest win$700.92
Largest loss-$217.98
key_ratios
Profit factor1.42
Win/Loss ratio0.89
Payout ratio1.59
Expectancy$14.80
Avg trade$14.80
Bars in trade2.61
streaks
Max consec wins7
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

$4,558
Net profit
$15,530
Gross profit
$10,973
Gross loss
1.90%
CAGR
2.17
AHPR
$228
Yearly avg profit
$19
Monthly avg profit
$0.61
Daily avg profit
2.28%
Yearly avg return
0.11%
Exposure
308
Trades
$14.80
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentSPX500_Oanda
timeframeM30
period start2006-01-02
period end2026-06-19
profit in pips11637 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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