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~/backtests/na-dow-l-003 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Columba

code: NA-IDX-014 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,318 trades 518 win 48.46%
at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,318
gross profit$30,603
gross loss$23,285
win_rate
48.46%WIN
█████░░░░░
Win rate
251W / 267L
profit_factor
1.31PF
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Profit factor
gross P / gross L
cagr
2.78%CAGR
░░░░░░░░░
CAGR
annualized
max_drawdown
-18.04%MAX DD
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Max drawdown
$2,169
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 518 points; starts at $9,985.28, ends at $17,318.24; observed range $9,849.43–$17,360.84.

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
48.46%win
Wins251
Losses267
Total518
win_vs_loss_size
Avg win$121.92
Avg loss$87.21
Largest win$625.38
Largest loss-$207.06
key_ratios
Profit factor1.31
Win/Loss ratio0.94
Payout ratio1.40
Expectancy$14.13
Avg trade$14.13
Bars in trade11.52
streaks
Max consec wins11
Max consec losses10
Avg consec wins1.86
Avg consec losses1.96
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

$7,318
Net profit
$30,603
Gross profit
$23,285
Gross loss
2.78%
CAGR
3.48
AHPR
$366
Yearly avg profit
$30
Monthly avg profit
$0.98
Daily avg profit
3.66%
Yearly avg return
0.67%
Exposure
518
Trades
$14.13
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 pips13143 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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