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~/backtests/na-dow-l-018 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Libra

code: NA-IDX-029 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $8,816 trades 592 win 55.91%
Verified · OTS23d3731d7a36…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $8,816
gross profit$29,463
gross loss$20,647
win_rate
55.91%WIN
██████░░░░
Win rate
331W / 261L
profit_factor
1.43PF
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Profit factor
gross P / gross L
cagr
3.21%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-10.82%MAX DD
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Max drawdown
$1,310
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 592 points; starts at $9,955.36, ends at $18,815.53; observed range $9,955.36–$18,815.53.

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
55.91%win
Wins331
Losses261
Total592
win_vs_loss_size
Avg win$89.01
Avg loss$79.11
Largest win$460.08
Largest loss-$203.78
key_ratios
Profit factor1.43
Win/Loss ratio1.27
Payout ratio1.13
Expectancy$14.89
Avg trade$14.89
Bars in trade14.39
streaks
Max consec wins13
Max consec losses7
Avg consec wins2.22
Avg consec losses1.75
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

$8,816
Net profit
$29,463
Gross profit
$20,647
Gross loss
3.21%
CAGR
4.20
AHPR
$441
Yearly avg profit
$36
Monthly avg profit
$1.18
Daily avg profit
4.41%
Yearly avg return
0.59%
Exposure
592
Trades
$14.89
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 pips16431 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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