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~/backtests/na-dow-l-010 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Eridanus

code: NA-IDX-021 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $6,536 trades 367 win 56.40%
Verified · OTSbf847ed61f33…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $6,536
gross profit$18,959
gross loss$12,423
win_rate
56.40%WIN
██████░░░░
Win rate
207W / 160L
profit_factor
1.53PF
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Profit factor
gross P / gross L
cagr
2.55%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-13.15%MAX DD
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Max drawdown
$1,455
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 367 points; starts at $10,129.74, ends at $16,536.09; observed range $9,613.55–$16,536.09.

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
56.40%win
Wins207
Losses160
Total367
win_vs_loss_size
Avg win$91.59
Avg loss$77.64
Largest win$506.26
Largest loss-$206.83
key_ratios
Profit factor1.53
Win/Loss ratio1.29
Payout ratio1.18
Expectancy$17.81
Avg trade$17.81
Bars in trade9.11
streaks
Max consec wins11
Max consec losses7
Avg consec wins2.23
Avg consec losses1.74
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

$6,536
Net profit
$18,959
Gross profit
$12,423
Gross loss
2.55%
CAGR
3.11
AHPR
$327
Yearly avg profit
$27
Monthly avg profit
$0.87
Daily avg profit
3.27%
Yearly avg return
0.55%
Exposure
367
Trades
$17.81
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 pips14877 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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Generated from stored backtest metrics · NeuronAlgo research desk

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