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https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-19 02:58:05 +00:00
Miha Kralj
75c6a9f135
- Added detailed comments explaining the validation limitations for MMA and ZLEMA due to differences in algorithm implementations. - Implemented validation tests for True Range against TALib and Tulip, ensuring directional agreement. - Updated Ulcer Index validation to clarify differences in algorithmic approaches between QuanTAlib and Skender. - Enhanced Ease of Movement tests to verify directional agreement with Tulip's EMV, noting differences in volume scaling. - Expanded Klinger Volume Oscillator tests to validate against Skender and Tulip, focusing on directional agreement across multiple period configurations. - Improved Negative Volume Index tests to compare percentage changes with Tulip, addressing differences in starting values. - Updated Positive Volume Index tests to validate against Tulip, emphasizing percentage change comparisons. - Enhanced Williams Accumulation/Distribution tests to verify directional agreement with Tulip, highlighting formula differences.
49 lines
2.2 KiB
Plaintext
49 lines
2.2 KiB
Plaintext
// The MIT License (MIT)
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// © mihakralj
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//@version=6
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indicator("Price Momentum Oscillator (PMO)", "PMO", overlay=false)
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//@function Calculates Price Momentum Oscillator (DecisionPoint algorithm)
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//@doc https://github.com/mihakralj/pinescript/blob/main/indicators/momentum/pmo.md
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//@param src Source series to calculate PMO for
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//@param time_periods First EMA smoothing period for 1-bar ROC (default 35)
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//@param smooth_periods Second EMA smoothing period for PMO (default 20)
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//@param signal_periods Signal line EMA period (default 10)
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//@returns PMO value measuring double-smoothed momentum
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pmo(series float src, simple int time_periods=35, simple int smooth_periods=20, simple int signal_periods=10)=>
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if time_periods<2 or smooth_periods<=0 or signal_periods<=0
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runtime.error("Periods must be greater than 0 (time_periods >= 2)")
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// Step 1: Always 1-bar ROC (percentage)
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float roc = bar_index > 0 and not na(src[1]) and src[1] != 0.0 ? (src / src[1] - 1.0) * 100.0 : 0.0
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// Step 2: First Custom EMA of ROC (alpha = 2/time_periods), then ×10
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float alpha1 = 2.0 / time_periods
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var float roc_ema = na
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roc_ema := na(roc_ema) ? roc : roc_ema + alpha1 * (roc - roc_ema)
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float roc_ema_scaled = roc_ema * 10.0
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// Step 3: Second Custom EMA of scaled RocEma (alpha = 2/smooth_periods) → PMO
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float alpha2 = 2.0 / smooth_periods
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var float pmo_val = na
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pmo_val := na(pmo_val) ? roc_ema_scaled : pmo_val + alpha2 * (roc_ema_scaled - pmo_val)
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pmo_val
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// ---------- Main loop ----------
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// Inputs
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i_source = input.source(close, "Source")
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i_time_periods = input.int(35, "Time Periods (1st EMA)", minval=2)
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i_smooth_periods = input.int(20, "Smooth Periods (2nd EMA)", minval=1)
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i_signal_periods = input.int(10, "Signal Line Period", minval=1)
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// Calculation
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pmo_value = pmo(i_source, i_time_periods, i_smooth_periods, i_signal_periods)
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// Signal line uses standard EMA: alpha = 2/(N+1)
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float alpha_signal = 2.0 / (i_signal_periods + 1)
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var float signal_line = na
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signal_line := na(signal_line) ? pmo_value : signal_line + alpha_signal * (pmo_value - signal_line)
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// Plot
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plot(pmo_value, "PMO", color=color.blue, linewidth=2)
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plot(signal_line, "Signal", color=color.red, linewidth=2)
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hline(0, "Zero", color=color.gray, linestyle=hline.style_dotted)
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