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~/backtests/na-dow-l-011 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Fornax

code: NA-IDX-022 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,032 trades 411 win 57.42%
Verified · OTS58059d872762…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,032
gross profit$23,609
gross loss$16,577
win_rate
57.42%WIN
██████░░░░
Win rate
236W / 175L
profit_factor
1.42PF
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Profit factor
gross P / gross L
cagr
2.70%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-10.27%MAX DD
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Max drawdown
$1,205
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 411 points; starts at $9,799.74, ends at $17,032.05; observed range $9,789.99–$17,032.05.

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
57.42%win
Wins236
Losses175
Total411
win_vs_loss_size
Avg win$100.04
Avg loss$94.73
Largest win$507.76
Largest loss-$205.58
key_ratios
Profit factor1.42
Win/Loss ratio1.35
Payout ratio1.06
Expectancy$17.11
Avg trade$17.11
Bars in trade10.29
streaks
Max consec wins10
Max consec losses6
Avg consec wins2.34
Avg consec losses1.73
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

$7,032
Net profit
$23,609
Gross profit
$16,577
Gross loss
2.70%
CAGR
3.35
AHPR
$352
Yearly avg profit
$29
Monthly avg profit
$0.94
Daily avg profit
3.52%
Yearly avg return
0.51%
Exposure
411
Trades
$17.11
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 pips15711 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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