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~/backtests/na-dow-l-046 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Alcyone

code: NA-IDX-057 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $8,698 trades 455 win 50.55%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $8,698
gross profit$23,674
gross loss$14,976
win_rate
50.55%WIN
█████░░░░░
Win rate
230W / 225L
profit_factor
1.58PF
█████░░░░░
Profit factor
gross P / gross L
cagr
3.18%CAGR
░░░░░░░░░
CAGR
annualized
max_drawdown
-9.71%MAX DD
░░░░░░░░░
Max drawdown
$1,034
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 455 points; starts at $9,887.68, ends at $18,697.51; observed range $9,029.07–$18,879.40.

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
50.55%win
Wins230
Losses225
Total455
win_vs_loss_size
Avg win$102.93
Avg loss$66.56
Largest win$767.22
Largest loss-$209.28
key_ratios
Profit factor1.58
Win/Loss ratio1.02
Payout ratio1.55
Expectancy$19.12
Avg trade$19.12
Bars in trade10.62
streaks
Max consec wins12
Max consec losses9
Avg consec wins2.05
Avg consec losses1.99
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

$8,698
Net profit
$23,674
Gross profit
$14,976
Gross loss
3.18%
CAGR
4.14
AHPR
$435
Yearly avg profit
$36
Monthly avg profit
$1.16
Daily avg profit
4.35%
Yearly avg return
1.70%
Exposure
455
Trades
$19.12
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentDowJones_Oanda
timeframeH1
period start2006-01-03
period end2026-06-19
profit in pips14316 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.
nextok

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