EnhancedSignalGenerator

Library "EnhancedSignalGenerator"
Enhanced Signal Generator – clean v6 implementation (UDT-based)
generateAdvancedSignal(unifiedScore, trendComp, momInd, volFactor, qualScore, cyclePos, regime)
Generates advanced signal analysis with multi-pathway evaluation
Parameters:
unifiedScore (float): Unified market score input
trendComp (float): Trend component analysis factor
momInd (float): Momentum indicator value
volFactor (float): Volatility adjustment factor
qualScore (float): Quality assessment metric
cyclePos (float): Market cycle position (0.0-1.0, where 0.5 = neutral cycle phase)
regime (string): Market regime classification string ("bull", "bear", "sideways", "volatile")
Returns: Signal Comprehensive signal analysis result
analyzePatternSignals(h, l, c, v, w, reg)
Analyzes pattern-based signal components with multi-dimensional price action evaluation
Parameters:
h (float): High price value for range analysis
l (float): Low price value for support/resistance detection
c (float): Close price value for momentum assessment
v (float): Volume data for confirmation analysis
w (int): Analysis window period for pattern formation timeframe
reg (string): Market regime string for context-aware pattern interpretation
Returns: Signal Pattern analysis signal with comprehensive technical evaluation
optimizeSignalParameters(s, p, w, m)
Optimizes signal generation parameters through advanced statistical analysis
Parameters:
s (array<float>): Signal array input for performance evaluation
p (array<float>): Parameter array input for optimization target values
w (int): Window period for rolling optimization analysis
m (string): Optimization method string ("sharpe", "sortino", "calmar", "variance")
Returns: float Optimization result score representing parameter fitness
Signal
Signal data structure for market analysis
Fields:
dir (series int): Signal direction: +1 bull, -1 bear, 0 flat
strength (series float): Signal strength magnitude (0-1)
conf (series float): Confidence level (0-1)
rationale (series string): Human-readable explanation
source (series string): Signal source classification
quality (series float): Blended quality assessment score
Enhanced Signal Generator – clean v6 implementation (UDT-based)
generateAdvancedSignal(unifiedScore, trendComp, momInd, volFactor, qualScore, cyclePos, regime)
Generates advanced signal analysis with multi-pathway evaluation
Parameters:
unifiedScore (float): Unified market score input
trendComp (float): Trend component analysis factor
momInd (float): Momentum indicator value
volFactor (float): Volatility adjustment factor
qualScore (float): Quality assessment metric
cyclePos (float): Market cycle position (0.0-1.0, where 0.5 = neutral cycle phase)
regime (string): Market regime classification string ("bull", "bear", "sideways", "volatile")
Returns: Signal Comprehensive signal analysis result
analyzePatternSignals(h, l, c, v, w, reg)
Analyzes pattern-based signal components with multi-dimensional price action evaluation
Parameters:
h (float): High price value for range analysis
l (float): Low price value for support/resistance detection
c (float): Close price value for momentum assessment
v (float): Volume data for confirmation analysis
w (int): Analysis window period for pattern formation timeframe
reg (string): Market regime string for context-aware pattern interpretation
Returns: Signal Pattern analysis signal with comprehensive technical evaluation
optimizeSignalParameters(s, p, w, m)
Optimizes signal generation parameters through advanced statistical analysis
Parameters:
s (array<float>): Signal array input for performance evaluation
p (array<float>): Parameter array input for optimization target values
w (int): Window period for rolling optimization analysis
m (string): Optimization method string ("sharpe", "sortino", "calmar", "variance")
Returns: float Optimization result score representing parameter fitness
Signal
Signal data structure for market analysis
Fields:
dir (series int): Signal direction: +1 bull, -1 bear, 0 flat
strength (series float): Signal strength magnitude (0-1)
conf (series float): Confidence level (0-1)
rationale (series string): Human-readable explanation
source (series string): Signal source classification
quality (series float): Blended quality assessment score
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.