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~/backtests/na-dow-l-040 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Telescopium

code: NA-IDX-051 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $9,923 trades 387 win 53.23%
Verified · OTS16adb3766108…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $9,923
gross profit$31,364
gross loss$21,440
win_rate
53.23%WIN
█████░░░░░
Win rate
206W / 181L
profit_factor
1.46PF
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Profit factor
gross P / gross L
cagr
3.51%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-9.36%MAX DD
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Max drawdown
$1,361
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 387 points; starts at $9,793.12, ends at $19,923.14; observed range $9,793.12–$19,923.14.

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
53.23%win
Wins206
Losses181
Total387
win_vs_loss_size
Avg win$152.25
Avg loss$118.46
Largest win$775.04
Largest loss-$207.76
key_ratios
Profit factor1.46
Win/Loss ratio1.14
Payout ratio1.29
Expectancy$25.64
Avg trade$25.64
Bars in trade10.38
streaks
Max consec wins6
Max consec losses9
Avg consec wins1.98
Avg consec losses1.74
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

$9,923
Net profit
$31,364
Gross profit
$21,440
Gross loss
3.51%
CAGR
4.73
AHPR
$496
Yearly avg profit
$41
Monthly avg profit
$1.33
Daily avg profit
4.96%
Yearly avg return
0.40%
Exposure
387
Trades
$25.64
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 pips9224 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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