AlexGrover's P-KAMA

The AlexGrover's P-KAMA indicator is a trend-following tool that utilizes an exponent-weighted adaptive smoothing method to filter market noise and identify potential cyclical turning points.

Usage

The Usage section describes how the script can be used to identify market trends and momentum shifts.

Trend Detection

The primary use of the P-KAMA is to determine the current trend direction based on the position of the price relative to the moving average line.

• Bullish Trend: When the source price is above the P-KAMA line, the indicator typically turns green, suggesting upward momentum.
• Bearish Trend: When the source price is below the P-KAMA line, the indicator turns red, suggesting downward momentum.

Crossover Signals

Traders can use crossovers as entry or exit signals. A crossover of the price above the P-KAMA line may indicate a bullish reversal, while a crossunder may indicate a bearish reversal. The script includes built-in alerts for these specific events to assist in real-time monitoring.

Self-Powered Mode

The interpretation of the indicator changes significantly based on the "Self Powered" toggle. When enabled, the script dynamically adjusts its sensitivity based on the Efficiency Ratio, allowing it to become more or less reactive to price volatility automatically.

Details

The P-KAMA is an evolution of Perry Kaufman’s Adaptive Moving Average (KAMA). The core concept relies on the Efficiency Ratio (ER), which represents the ratio between the total price change over a period and the sum of absolute price changes (volatility) during that same period.

The "Powered" aspect of this script introduces a power function to the smoothing constant. In a standard KAMA, the smoothing factor is squared. In the P-KAMA, the smoothing factor is raised to a specific power. If "Self Powered" is active, this power is calculated as the inverse of the Efficiency Ratio ($1/ER$). This logic ensures that when the market is "inefficient" (low ER), the power increases, making the moving average significantly smoother to avoid whipsaws. Conversely, in highly efficient trending markets, the average becomes more reactive.

Settings

• Length: Determines the lookback period used to calculate the Efficiency Ratio and the price change.
• Factor: The exponent used in the power function when "Self Powered" is disabled. Higher values result in a smoother, more lagged line.
• Source: The price data point used for calculations (e.g., Close, HL2, OHLC4).
• Self Powered: A toggle that, when enabled, allows the script to automatically determine the power factor based on market efficiency rather than using the fixed "Factor" input.

FAQ

What is the primary advantage of P-KAMA over a standard Moving Average? Unlike simple or exponential moving averages, the P-KAMA adapts its speed based on market volatility and trend efficiency, aiming to remain flat during noise and track price closely during strong trends.

How does the "Factor" setting impact the indicator? The Factor acts as an exponent for the smoothing calculation. A higher Factor increases the smoothing effect, filtering out more noise but potentially increasing lag during rapid price reversals.

How do I get access to AlexGrover's P-KAMA? You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.