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~/backtests/na-spx-l-003 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Achernar

code: NA-SPX-L-003 SPX500_Oanda H1 2006-01-02 → 2026-06-19
net $6,254 trades 285 win 59.65%
Verified · OTSd98e0902b32e…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $6,254
gross profit$14,675
gross loss$8,421
win_rate
59.65%WIN
██████░░░░
Win rate
170W / 115L
profit_factor
1.74PF
██████░░░░
Profit factor
gross P / gross L
cagr
2.46%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-4.14%MAX DD
░░░░░░░░░░
Max drawdown
$664
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 570 points; starts at $10,000.00, ends at $16,254.45; observed range $9,749.67–$16,254.45.

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
59.65%win
Wins170
Losses115
Total285
win_vs_loss_size
Avg win$86.33
Avg loss$73.23
Largest win$526.32
Largest loss-$209.44
key_ratios
Profit factor1.74
Win/Loss ratio1.48
Payout ratio1.18
Expectancy$21.95
Avg trade$21.95
Bars in trade2.46
streaks
Max consec wins9
Max consec losses5
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

$6,254
Net profit
$14,675
Gross profit
$8,421
Gross loss
2.46%
CAGR
2.98
AHPR
$313
Yearly avg profit
$26
Monthly avg profit
$0.84
Daily avg profit
3.13%
Yearly avg return
0.01%
Exposure
285
Trades
$21.95
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 pips18278 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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