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~/backtests/na-spx-l-016 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Antlia

code: NA-SPX-L-016 SPX500_Oanda M30 2006-01-02 → 2026-06-19
net $7,916 trades 544 win 58.27%
Verified · OTSdca41c6a1a72…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,916
gross profit$31,891
gross loss$23,975
win_rate
58.27%WIN
██████░░░░
Win rate
317W / 227L
profit_factor
1.33PF
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Profit factor
gross P / gross L
cagr
2.96%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-18.11%MAX DD
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Max drawdown
$1,993
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 1,088 points; starts at $10,000.00, ends at $17,916.06; observed range $9,015.60–$18,383.18.

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
58.27%win
Wins317
Losses227
Total544
win_vs_loss_size
Avg win$100.60
Avg loss$105.62
Largest win$601.00
Largest loss-$211.97
key_ratios
Profit factor1.33
Win/Loss ratio1.40
Payout ratio0.95
Expectancy$14.55
Avg trade$14.55
Bars in trade7.70
streaks
Max consec wins10
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

$7,916
Net profit
$31,891
Gross profit
$23,975
Gross loss
2.96%
CAGR
3.77
AHPR
$396
Yearly avg profit
$32
Monthly avg profit
$1.06
Daily avg profit
3.96%
Yearly avg return
0.13%
Exposure
544
Trades
$14.55
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 pips16101 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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