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~/backtests/na-dow-l-023 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Monoceros

code: NA-IDX-034 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $7,327 trades 536 win 54.66%
Verified · OTSb03b36fe8bd2…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $7,327
gross profit$30,516
gross loss$23,189
win_rate
54.66%WIN
█████░░░░░
Win rate
293W / 243L
profit_factor
1.32PF
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Profit factor
gross P / gross L
cagr
2.79%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-15.50%MAX DD
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Max drawdown
$1,804
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 536 points; starts at $10,092.07, ends at $17,326.72; observed range $9,537.20–$17,428.96.

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
54.66%win
Wins293
Losses243
Total536
win_vs_loss_size
Avg win$104.15
Avg loss$95.43
Largest win$414.46
Largest loss-$207.36
key_ratios
Profit factor1.32
Win/Loss ratio1.21
Payout ratio1.09
Expectancy$13.67
Avg trade$13.67
Bars in trade14.63
streaks
Max consec wins10
Max consec losses7
Avg consec wins2.22
Avg consec losses1.84
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

$7,327
Net profit
$30,516
Gross profit
$23,189
Gross loss
2.79%
CAGR
3.49
AHPR
$366
Yearly avg profit
$30
Monthly avg profit
$0.98
Daily avg profit
3.66%
Yearly avg return
0.76%
Exposure
536
Trades
$13.67
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 pips13454 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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