[Famous-Q] Faber 200-bar SMA timing

public
@djgambhir

BNBUSDT · 4h · 2022-01-012026-09-01 · 10,225 bars in 19.0ms

Underperformed the market. Holding BNBUSDT returned +33.93% over the same period, against this strategy’s +3.68%.

Net P&L
+3.68%
$368.45
Max drawdown
-20.85%
Max run-up
+37.21%
Trades
212
11.3% win rate
Profit factor
1.06
2022-01-01drawdown · worst -20.85%2026-09-01
TrainingValidationOut-of-sample
SegmentPeriodReturnMax drawdownTradesWin rate
Training2022-01-012024-10-19+3.48%-17.62%12412%
Validation2024-10-192025-09-25+3.36%-15.39%3811%
Out-of-sample2025-09-252026-09-01-3.06%-17.30%5010%

Risk-adjusted

Sharpe
0.12
Sortino
0.18
Calmar
0.04
Return ÷ max drawdown
0.18
CAGR
+0.78%
Exposure
51.0%

Per trade

Expectancy
$1.74 · +0.14%
Average win / loss
$269.19 / −$32.40
Payoff ratio
8.31
Largest win / loss
$1,787.93 / −$119.91
Longest losing streak(winning: 2)
28 trades

Drawdown over time

Max drawdown
-20.85%
Longest time under water
575 days
Worst drawdown recovered in
571 days
Under water at the end
323 days

Costs and mechanics

Fees paid
−$524.25
Funding
$221.84
Liquidations
0
Warmup bars(loaded before the start date)
202
Benchmark(buy and hold)
+33.93%

Monte Carlo

1,000 alternative histories, each 212 trades drawn at random from this run’s own. The bands hold the middle 50% and 90% of them; the solid line is what actually happened.

this runmedian of the historiesmiddle 50% · 90%
Unlucky (5%)TypicalLucky (95%)
Return-28.41%+1.36%+60.98%
Max drawdown-33.51%-19.64%-11.59%

48% of histories lost money, and 44% had a deeper drawdown than this run’s -20.85%. Assumes trades are independent; real losing streaks cluster, so the true spread is usually wider.

Settings

sma200 length
200
Leverage (×)
1
Position size (% of equity)
25

BNBUSDT with every trade

Loading prices…
long opened short opened closed at a profit closed at a loss

Trades

212 trades · 201–212 shown

#SideEntryExitHeldP&LReturnClosed by
12long2022-04-15 00:00 @ 414.662022-04-16 08:00 @ 414.781d 8h−$1.68-0.07%signal
11long2022-04-13 00:00 @ 413.552022-04-14 16:00 @ 412.221d 16h−$9.39-0.39%signal
10long2022-04-12 12:00 @ 411.322022-04-12 20:00 @ 406.908h−$28.54-1.17%signal
9long2022-03-18 08:00 @ 386.882022-04-11 12:00 @ 403.9624d 4h$103.85+4.31%signal
8long2022-03-17 16:00 @ 387.542022-03-18 04:00 @ 384.7312h−$19.86-0.82%signal
7long2022-03-09 04:00 @ 398.672022-03-09 20:00 @ 393.8216h−$31.75-1.31%signal
6long2022-03-04 12:00 @ 396.572022-03-04 16:00 @ 386.804h−$62.40-2.56%signal
5long2022-03-01 00:00 @ 395.552022-03-04 04:00 @ 393.513d 4h−$13.41-0.55%signal
4long2022-02-15 08:00 @ 427.812022-02-17 20:00 @ 408.022d 12h−$115.95-4.70%signal
3long2022-02-10 08:00 @ 420.992022-02-11 00:00 @ 414.2916h−$41.79-1.69%signal
2long2022-02-09 16:00 @ 420.842022-02-10 04:00 @ 416.0112h−$30.91-1.24%signal
1long2022-02-07 04:00 @ 426.842022-02-08 16:00 @ 417.831d 12h−$54.40-2.18%signal

How this was run

Orders fill at the next bar’s open, never at the close that produced the signal. When one bar’s range covered both the stop and the target, the stop was taken, because the data cannot say which came first. Fees, slippage and funding are all charged.

Warmup history was loaded from before 2022-01-01 so the requested window is fully tradable.

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