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QuanTAlib/lib/channels/uchannel/uchannel.md
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Miha Kralj 744d680435 Add VWAPSD (Volume Weighted Average Price with Standard Deviation Bands) implementation and validation tests
- Implemented Vwapsd class for calculating VWAP with configurable standard deviation bands.
- Added methods for updating the indicator with new bars and calculating VWAPSD using both bar series and span arrays.
- Created comprehensive validation tests for VWAPSD, including checks for consistency between streaming and batch modes, mathematical correctness, and handling of edge cases such as NaN values and zero volume bars.
- Ensured that the implementation adheres to performance standards with tests for large datasets and fractional numDevs values.
2026-01-24 19:07:52 -08:00

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UCHANNEL: Ehlers Ultimate Channel

"The best volatility channel uses the best smoother—applied twice."

The Ehlers Ultimate Channel combines the Ultrasmooth Filter (USF) for both the centerline and volatility measurement, creating a channel that adapts to price movements with minimal lag while maintaining smooth, responsive boundaries. Unlike traditional channels that use standard deviation or ATR, UCHANNEL employs the Smoothed True Range (STR)—the USF applied to True Range—for band width calculation.

Historical Context

John F. Ehlers introduced the Ultimate Channel in 2024 as the natural companion to his Ultimate Bands indicator. While Ultimate Bands (UBANDS) uses RMS of price deviations from the USF centerline to determine band width, the Ultimate Channel takes a different approach: it smooths True Range directly with the USF to create the band width multiplier.

This distinction matters for several reasons:

  1. True Range captures gaps: Unlike simple high-low range, True Range accounts for overnight gaps by comparing current high/low to the previous close
  2. USF smoothing on TR: Applying USF to True Range produces a volatility measure with the same low-lag characteristics as the centerline
  3. Independent tuning: Separate periods for STR and centerline smoothing allow traders to optimize each component independently

The design philosophy reflects Ehlers' preference for using the same high-quality filter throughout an indicator system, ensuring consistent lag characteristics across all components.

Architecture & Physics

1. True Range Calculation

True Range extends the simple high-low range to capture gaps:


TR_t = \max(H_t, C_{t-1}) - \min(L_t, C_{t-1})

where:

  • H_t = current high
  • L_t = current low
  • C_{t-1} = previous close

This formulation ensures that a gap up (where today's low exceeds yesterday's close) or gap down (where today's high falls below yesterday's close) is fully captured in the volatility measurement.

2. Ultrasmooth Filter (USF) Coefficients

The USF is a 2-pole IIR filter with coefficients derived from the period parameter:


\text{arg} = \frac{\sqrt{2} \cdot \pi}{\text{period}}

c_2 = 2 \cdot e^{-\text{arg}} \cdot \cos(\text{arg})

c_3 = -e^{-2 \cdot \text{arg}}

c_1 = \frac{1 + c_2 - c_3}{4}

3. USF Recursion Formula

The filter is applied using a 2-pole IIR structure:


\text{USF}_t = (1 - c_1) \cdot X_t + (2c_1 - c_2) \cdot X_{t-1} - (c_1 + c_3) \cdot X_{t-2} + c_2 \cdot \text{USF}_{t-1} + c_3 \cdot \text{USF}_{t-2}

This formula is applied twice:

  • Once to close prices to produce the centerline (Middle)
  • Once to True Range to produce the Smoothed True Range (STR)

4. Channel Construction

With both smoothed values computed:


\text{Middle}_t = \text{USF}(\text{Close}, \text{centerPeriod})

\text{STR}_t = \text{USF}(\text{TR}, \text{strPeriod})

\text{Upper}_t = \text{Middle}_t + (\text{multiplier} \times \text{STR}_t)

\text{Lower}_t = \text{Middle}_t - (\text{multiplier} \times \text{STR}_t)

Mathematical Foundation

Transfer Function

The USF can be expressed in the z-domain as:


H(z) = \frac{(1 - c_1) + (2c_1 - c_2)z^{-1} - (c_1 + c_3)z^{-2}}{1 - c_2 z^{-1} - c_3 z^{-2}}

State-Space Form

For efficient computation, the filter maintains state variables:

For STR smoothing:

  • UsStr1, UsStr2: Previous USF outputs
  • Str1, Str2: Previous True Range values

For centerline smoothing:

  • UsCen1, UsCen2: Previous USF outputs
  • Cen1, Cen2: Previous close values

FMA Optimization

The USF formula is implemented using Fused Multiply-Add for maximum precision and performance:

cenValue = Math.FusedMultiplyAdd(1 - c1_cen, cen_s0,
    Math.FusedMultiplyAdd(2 * c1_cen - c2_cen, cen_s1,
    Math.FusedMultiplyAdd(-(c1_cen + c3_cen), cen_s2,
    Math.FusedMultiplyAdd(c2_cen, usCen1, c3_cen * usCen2))));

Performance Profile

Operation Count (Streaming Mode, Scalar)

Operation Count Cost (cycles) Subtotal
ADD/SUB 12 1 12
MUL 14 3 42
MAX/MIN 2 1 2
FMA 8 4 32
Total 36 ~88 cycles

The dominant cost is the 8 FMA operations (4 for STR + 4 for centerline).

Batch Mode (512 values, SIMD/FMA)

Due to the recursive IIR structure, SIMD vectorization is limited. However, FMA instructions provide measurable improvement:

Operation Scalar Ops With FMA Improvement
MUL+ADD chains 16 8 FMA ~15%

Per-bar estimate: ~75 cycles with FMA optimization

Quality Metrics

Metric Score Notes
Accuracy 10/10 Exact implementation per Ehlers specification
Timeliness 9/10 USF provides near-zero lag response
Overshoot 8/10 Minimal overshoot in trending markets
Smoothness 9/10 Very smooth bands due to 2-pole filtering
Gap Handling 10/10 True Range properly captures overnight gaps

Validation

Library Status Notes
TA-Lib N/A Not implemented (proprietary Ehlers indicator)
Skender N/A Not implemented
Tulip N/A Not implemented
Ooples N/A Not implemented
PineScript Reference implementation in uchannel.pine
Self-consistency Streaming, batch, and span modes match

Common Pitfalls

  1. Warmup Period: The indicator requires max(strPeriod, centerPeriod) bars before producing stable values. Using results during warmup can lead to erratic signals.

  2. Parameter Confusion: Unlike UBANDS (which uses a single period), UCHANNEL accepts two periods:

    • strPeriod: Controls how quickly the band width responds to volatility changes
    • centerPeriod: Controls how quickly the centerline follows price
  3. Gap Sensitivity: True Range includes gap size, so significant overnight gaps will widen the channel. This is intended behavior but may surprise traders expecting simple high-low range.

  4. Memory Footprint: Each instance requires ~200 bytes for state (record struct with 13 fields plus coefficients). At 1000 symbols: ~200KB.

  5. Different from UBANDS: While both use USF for the centerline:

    • UBANDS: Band width = RMS of price deviations from centerline
    • UCHANNEL: Band width = USF-smoothed True Range × multiplier
  6. Bar Correction (isNew=false): When correcting the current bar, ensure you pass the complete updated OHLC values. Partial corrections may produce inconsistent results.

References

  • Ehlers, John F. (2024). "Ultimate Channel." Technical Analysis of Stocks & Commodities.
  • Ehlers, John F. (2013). Cycle Analytics for Traders. Wiley Trading.
  • Ehlers, John F. (2001). Rocket Science for Traders. Wiley Trading.