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~/backtests/na-dow-l-016 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Lacerta

code: NA-IDX-027 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,595 trades 323 win 57.89%
Verified · OTS5403ce0428c7…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,595
gross profit$17,721
gross loss$10,125
win_rate
57.89%WIN
██████░░░░
Win rate
187W / 136L
profit_factor
1.75PF
██████░░░░
Profit factor
gross P / gross L
cagr
2.87%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-7.49%MAX DD
█░░░░░░░░░
Max drawdown
$818
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 323 points; starts at $10,068.97, ends at $17,595.07; observed range $10,068.97–$17,595.07.

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
57.89%win
Wins187
Losses136
Total323
win_vs_loss_size
Avg win$94.76
Avg loss$74.45
Largest win$412.08
Largest loss-$205.56
key_ratios
Profit factor1.75
Win/Loss ratio1.38
Payout ratio1.27
Expectancy$23.51
Avg trade$23.51
Bars in trade10.89
streaks
Max consec wins7
Max consec losses5
Avg consec wins2.10
Avg consec losses1.55
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

$7,595
Net profit
$17,721
Gross profit
$10,125
Gross loss
2.87%
CAGR
3.62
AHPR
$380
Yearly avg profit
$31
Monthly avg profit
$1.02
Daily avg profit
3.80%
Yearly avg return
0.35%
Exposure
323
Trades
$23.51
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 pips16088 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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