- LTMA (Linear Trend Moving Average): Introduces a predictive moving average using dual cascaded EMAs for trend estimation. - MCNMA (McNicholl EMA): Implements a zero-lag TEMA using a cascaded EMA structure for enhanced responsiveness. - NLMA (Non-Lag Moving Average): Utilizes a damped cosine kernel to achieve reduced lag in moving averages. - NMA (Natural Moving Average): Adapts smoothing based on volatility profiles using a square-root kernel. - NYQMA (Nyquist Moving Average): Applies the Nyquist-Shannon theorem to prevent aliasing in cascaded moving averages. - RAIN (Rainbow Moving Average): Combines multiple SMA layers with weighted averages for multi-scale smoothing. - TRAMA (Trend Regularity Adaptive Moving Average): Adapts smoothing based on the frequency of new highs and lows in price data.
4.0 KiB
HT_PHASOR: Ehlers Hilbert Transform Phasor Components
HT_PHASOR decomposes the price signal into two orthogonal components, InPhase (I) and Quadrature (Q), using the Hilbert Transform. Together these form a complex phasor Z = I + jQ that describes the instantaneous amplitude and phase of the dominant market cycle. Compatible with TA-Lib's HT_PHASOR function, this dual-output indicator provides the fundamental building blocks for cycle analysis, phasor crossover timing, and instantaneous amplitude measurement.
Historical Context
John Ehlers introduced phasor decomposition of market data in Rocket Science for Traders (2001). In electrical engineering, a phasor represents a sinusoidal signal as a rotating complex vector, separating the cycle's "position" (InPhase) from its "velocity" (Quadrature). Ehlers recognized that this decomposition is the mathematical foundation for all his cycle indicators: HT_SINE, HT_DCPERIOD, HT_DCPHASE, and HOMOD all derive from these same I/Q components. TA-Lib exposes HT_PHASOR to give advanced users direct access to the analytic signal for custom cycle analysis. The InPhase output is delayed by 3 bars to align with the Quadrature component's effective lag from the Hilbert Transform FIR.
Architecture & Physics
1. WMA Smoothing
SmoothPrice_t = \frac{4P_t + 3P_{t-1} + 2P_{t-2} + P_{t-3}}{10}
2. Hilbert Transform FIR
Using Ehlers' coefficients (A = 0.0962, B = 0.5769), the 4-tap discrete Hilbert approximation generates the detrender, and from it the fundamental In-Phase and Quadrature components (I_1, Q_1). Further Hilbert transforms of these produce jI and jQ.
3. Phasor Components
I_{2,t} = I_{1,t} - jQ_t, \qquad Q_{2,t} = Q_{1,t} + jI_t
Both smoothed with EMA (\alpha = 0.2):
I_t = 0.2 \cdot I_{2,t} + 0.8 \cdot I_{t-1}
Q_t = 0.2 \cdot Q_{2,t} + 0.8 \cdot Q_{t-1}
4. Phase Relationship
Q leads I by 90°. When I peaks, Q crosses zero downward. When I crosses zero upward, Q peaks. The instantaneous amplitude is A = \sqrt{I^2 + Q^2} and the instantaneous phase is \phi = \arctan(Q/I).
5. Complexity
O(1) per bar. Fixed Hilbert cascade with circular buffers. Warmup: 32 bars (TA-Lib lookback).
Mathematical Foundation
Parameters
| Parameter | Description | Default | Constraint |
|---|---|---|---|
| (none) | No user-configurable parameters |
Pseudo-code
function HT_PHASOR(source):
A ← 0.0962; B ← 0.5769
smoothBuf ← CircularBuffer(7)
detBuf, q1Buf, i1Buf ← CircularBuffers
I2 ← 0; Q2 ← 0
for each price in source:
// WMA smooth
smooth ← (4·price + 3·p[1] + 2·p[2] + p[3]) / 10
smoothBuf.Add(smooth)
// Hilbert FIR (adaptive)
det ← A·smooth[0] + B·smooth[2] - B·smooth[4] - A·smooth[6]
Q1 ← A·det[0] + B·det[2] - B·det[4] - A·det[6]
I1 ← det[3]
// Hilbert of I1 and Q1
jI ← A·I1[0] + B·I1[2] - B·I1[4] - A·I1[6]
jQ ← A·Q1[0] + B·Q1[2] - B·Q1[4] - A·Q1[6]
// Phasor components (EMA smoothed)
I2 ← 0.2·(I1 - jQ) + 0.8·I2
Q2 ← 0.2·(Q1 + jI) + 0.8·Q2
emit InPhase = I2, Quadrature = Q2
Phasor Crossover Signals
| Condition | Signal |
|---|---|
Q crosses I from below |
Bullish (anticipates cycle trough) |
Q crosses I from above |
Bearish (anticipates cycle peak) |
\sqrt{I^2 + Q^2} increasing |
Cycle amplitude growing |
\sqrt{I^2 + Q^2} decreasing |
Cycle amplitude fading (trend or noise) |
Output Interpretation
| Output | Range | Meaning |
|---|---|---|
InPhase |
unbounded | Cycle component aligned with price |
Quadrature |
unbounded | Rate of change (velocity) of cycle |
Resources
- Ehlers, J.F. Rocket Science for Traders. Wiley, 2001.
- TA-Lib
TA_HT_PHASOR()reference implementation. - Ehlers, J.F. Cybernetic Analysis for Stocks and Futures. Wiley, 2004.