Pulse Mean Accelerator (PMA)

Warmup Window

Minimum bars needed: max(ma_length, accel_lookback) bars (default params: 32 bars (ma_length=20, accel_lookback=32))

Both the base moving average (ma_length) and the acceleration lookback need to fill before the first PMA value is valid. After warmup, the indicator updates in real-time.

✅ After the warmup window is filled, this indicator produces a new value on every incoming bar in real-time.

Lagging Indicator

The PMA line and trend signals lag behind price reversals.

Event	Lag	Detail
MA base line reacts to price reversal	≈ `ma_length / 2` bars	RMA has effective lag ≈ ma_length/2
PMA line changes direction	≈ `ma_length / 2` to `accel_lookback / 2` bars	Acceleration lookback modulates the offset, adding a variable lag component
Trend flips bullish ↔ bearish	≈ `ma_length / 2` to `accel_lookback / 2` bars	Trend derived from PMA slope vs MA

Formula for custom params: lag ≈ ma_length / 2 (+ accel influence)

The Pulse Mean Accelerator is a trend-following overlay indicator translated from the Pine Script® by MisinkoMaster. It adds a volatility- and momentum-scaled acceleration offset to a base moving average. The acceleration accumulates over a configurable lookback: bars where source momentum exceeds MA momentum push the PMA further from the MA, while bars where the MA leads source momentum pull it back. Multiple MA types (RMA, SMA, EMA, WMA, DEMA, TEMA, HMA), volatility measures (ATR, Standard Deviation, MAD), and smoothing modes are supported.

Parameters:

Parameter	Type	Default	Description
`source_column`	str	`"Close"`	Source price column
`ma_type`	str	`"RMA"`	MA type: RMA, SMA, EMA, WMA, DEMA, TEMA, HMA
`ma_length`	int	`20`	Lookback for the base moving average
`accel_lookback`	int	`32`	Bars over which acceleration is accumulated
`max_accel`	float	`0.2`	Maximum absolute acceleration factor
`volatility_type`	str	`"Standard Deviation"`	Volatility: ATR, Standard Deviation, MAD
`smooth_type`	str	`"Double Moving Average"`	Smoothing: NONE, Exponential, Extra Moving Average, Double Moving Average
`use_confirmation`	bool	`True`	Require combined PMA+MA momentum to confirm trend flips

Output columns: pma, pma_ma, pma_trend, pma_long, pma_short, pma_acceleration

import pandas as pd
from pyindicators import (
    pulse_mean_accelerator,
    pulse_mean_accelerator_signal,
    get_pulse_mean_accelerator_stats,
)

# --- With pandas ---
df = pd.read_csv("data.csv")
df = pulse_mean_accelerator(
    df,
    ma_type="RMA",
    ma_length=20,
    accel_lookback=32,
    max_accel=0.2,
    volatility_type="Standard Deviation",
    smooth_type="Double Moving Average",
    use_confirmation=True,
)
df = pulse_mean_accelerator_signal(df)
stats = get_pulse_mean_accelerator_stats(df)
print(stats)
df[["Close", "pma", "pma_ma", "pma_trend", "pma_long", "pma_short"]].tail(10)

PULSE_MEAN_ACCELERATOR

Chart Parameters

The image above uses the following parameters:

Parameter	Value
`ma_type`	`RMA`
`ma_length`	`20`
`accel_lookback`	`32`
`max_accel`	`0.2`
`volatility_type`	`Standard Deviation`
`smooth_type`	`Double Moving Average`
`use_confirmation`	`True`