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~/backtests/na-dow-l-020 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Lynx

code: NA-IDX-031 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $11,160 trades 488 win 50.00%
Verified · OTSbdad75a436ca…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $11,160
gross profit$46,132
gross loss$34,972
win_rate
50.00%WIN
█████░░░░░
Win rate
244W / 244L
profit_factor
1.32PF
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Profit factor
gross P / gross L
cagr
3.82%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-26.85%MAX DD
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Max drawdown
$2,685
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 488 points; starts at $9,789.25, ends at $21,159.78; observed range $7,315.32–$21,657.41.

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
50.00%win
Wins244
Losses244
Total488
win_vs_loss_size
Avg win$189.07
Avg loss$143.33
Largest win$767.00
Largest loss-$216.30
key_ratios
Profit factor1.32
Win/Loss ratio1.00
Payout ratio1.32
Expectancy$22.87
Avg trade$22.87
Bars in trade11.90
streaks
Max consec wins10
Max consec losses12
Avg consec wins2.03
Avg consec losses2.02
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

$11,160
Net profit
$46,132
Gross profit
$34,972
Gross loss
3.82%
CAGR
5.31
AHPR
$558
Yearly avg profit
$46
Monthly avg profit
$1.49
Daily avg profit
5.58%
Yearly avg return
0.43%
Exposure
488
Trades
$22.87
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 pips11375 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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