Backtest Results

Job Notes

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Symbols 3

AMD, LPSN, LCID

Performance Summary

Total Trades

6

Total P&L

$-6330.70

Notional: $187769.95

Total Return

-3.37%

Weighted by notional

Win Rate

16.7%

1 W / 5 L

CouldWin Rate

83.3%

5 could / 6 total

Avg P&L

$-1055.12

Avg Return: -3.37%

Best Win

$1588.21

Largest Loss

$-2464.50

Trade Details 6 positions

ID	Symbol	Side	Entry Price	Exit Price	Qty	P&L % (USD)	CouldWin	Stop Loss	Entry Time	Exit Time	Duration
5843698	AMD	Buy	$207.11	$203.18	151	-1.9% ($-593.43)	True	$204.13	06/10/25 14:13	06/10/25 19:55	5.7h
5843705	LPSN	Buy	$1.19	$1.11	26322	-6.64% ($-2079.44)	True	$1.13	06/08/25 15:00	06/08/25 16:06	1.1h
5843704	LPSN	Buy	$1.27	$1.17	24645	-7.87% ($-2464.50)	True	$1.17	06/08/25 13:33	06/08/25 13:49	16m
5843703	LPSN	Buy	$1.41	$1.31	22179	-7.17% ($-2244.51)	False	$1.33	06/08/25 13:30	06/08/25 13:31	1m
5843710	LCID	Buy	$2.96	$3.11	10574	5.07% ($1588.21)	True	$2.83	17/07/25 13:58	17/07/25 20:00	6h
5843706	LPSN	Buy	$0.95	$0.93	32947	-1.72% ($-537.04)	True	$0.94	26/06/25 14:52	26/06/25 16:16	1.4h

Strategy DSL [bfda4] CreativeExit_crossover-ind-swap_123040 | EXIT Opt: VolAdaptiveChandelier

Job Like

CONTEXT:
UNIVERSE: SP500
BASE_TZ: America/New_York
CAPITAL: 1_000_000

PARAMS:
sym="{{sym}}", 
fast_ema=10,           // Fast EMA period for momentum
slow_ema=26,           // Slow EMA period for trend direction
vol_pace_threshold=3,// Volume pace must exceed 2.5x avg
atr_period=26,         // ATR period for risk calculation
atr_mult=2.0,          // ATR multiplier for stop loss
risk_frac=0.0313,        // Risk fraction per trade
gap_threshold=1    // Gap threshold of 2% (2 as multiplier)

STRATEGY "AI Strategy - Overnight Gap Momentum-048718 + Mut":
TRIGGER:
  // Check for overnight gap > 1%
  LAST(OPEN(sym, 1d)) / LAST(CLOSE(sym, 1d), 4) > gap_threshold
  AND
  // Higher timeframe trend confirmation (1d EMA alignment)
  EMA(CLOSE(sym, 1d), fast_ema) > EMA(CLOSE(sym, 1d), slow_ema)
  AND
  // Volume pace confirmation (must exceed threshold)
  VOL_PACE(sym, 1d, 10) > vol_pace_threshold
  AND
  // Restrict to first 90 minutes of session (UTC time for US market open 9:30 AM ET)
  TIME_UTC_IN("10:30", "15:00")
ENTRY: MARKET          // Market entry to capture immediate momentum post-gap
EXIT: 
  (VOL_PERCENTILE(sym,1d,14,50) > 80 AND LAST(CLOSE(sym,1d)) < (HIGHEST(HIGH(sym,1d),10) - 1.5 * ATR(sym,1d,14))) OR (VOL_PERCENTILE(sym,1d,14,50) <= 80 AND LAST(CLOSE(sym,1d)) < (HIGHEST(HIGH(sym,1d),22) - 3.0 * ATR(sym,1d,14)))
RISK: ATR_STOP(atr_mult) // Risk management using ATR-based stop
SIZING: FIXED_FRACTION(risk_frac) // Fixed fraction sizing for consistent risk

CONTEXT:
UNIVERSE: SP500
BASE_TZ: America/New_York
CAPITAL: 1_000_000

PARAMS:
sym="{{sym}}", 
fast_ema=10,           // Fast EMA period for momentum
slow_ema=26,           // Slow EMA period for trend direction
vol_pace_threshold=3,// Volume pace must exceed 2.5x avg
atr_period=26,         // ATR period for risk calculation
atr_mult=2.0,          // ATR multiplier for stop loss
risk_frac=0.0313,        // Risk fraction per trade
gap_threshold=1    // Gap threshold of 2% (2 as multiplier)

STRATEGY "AI Strategy - Overnight Gap Momentum-048718 + Mut":
TRIGGER:
  // Check for overnight gap > 1%
  LAST(OPEN(sym, 1d)) / LAST(CLOSE(sym, 1d), 4) > gap_threshold
  AND
  // Higher timeframe trend confirmation (1d EMA alignment)
  EMA(CLOSE(sym, 1d), fast_ema) > EMA(CLOSE(sym, 1d), slow_ema)
  AND
  // Volume pace confirmation (must exceed threshold)
  VOL_PACE(sym, 1d, 10) > vol_pace_threshold
  AND
  // Restrict to first 90 minutes of session (UTC time for US market open 9:30 AM ET)
  TIME_UTC_IN("10:30", "15:00")
ENTRY: MARKET          // Market entry to capture immediate momentum post-gap
EXIT: 
  (VOL_PERCENTILE(sym,1d,14,50) > 80 AND LAST(CLOSE(sym,1d)) < (HIGHEST(HIGH(sym,1d),10) - 1.5 * ATR(sym,1d,14))) OR (VOL_PERCENTILE(sym,1d,14,50) <= 80 AND LAST(CLOSE(sym,1d)) < (HIGHEST(HIGH(sym,1d),22) - 3.0 * ATR(sym,1d,14)))
RISK: ATR_STOP(atr_mult) // Risk management using ATR-based stop
SIZING: FIXED_FRACTION(risk_frac) // Fixed fraction sizing for consistent risk