Moving Averages - kScript Functions

Notice!

This is documentation for kScript v1.0, which may not include the latest features. For up-to-date documentation, see the latest version.

Quick Jump:

sma()ema()_sma()_ema()

Overview

Simple Moving Average (SMA)

Arithmetic mean of prices over a specified period. Equal weight given to all data points.

• Smooth trend identification • Support/resistance levels • Crossover signals

Exponential Moving Average (EMA)

Weighted average giving more importance to recent prices. More responsive to price changes.

• Faster trend detection • Reduced lag • Better for volatile markets

Functions Reference

sma - arithmetic mean over specified period

sma(source: TimeSeries, period: number, priceIndex?: number = 1): TimeSeries

Parameters:

source (TimeSeries) - Source data for calculation
period (number) - Number of periods for calculation
priceIndex (number) - Index of price data (default: 1)

Returns:

TimeSeries (simple moving average values)

Code Example:

ema - weighted average giving more weight to recent prices

ema(source: TimeSeries, period: number, priceIndex?: number = 1): TimeSeries

Parameters:

source (TimeSeries) - Source data for calculation
period (number) - Number of periods for calculation
priceIndex (number) - Index of price data (default: 1)

Returns:

TimeSeries (exponential moving average values)

Code Example:

_sma - Simple Moving Average helper function

_sma(barIndex: number, series: TimeSeries, period: number, priceIndex?: number = 12): number

Parameters:

barIndex (number) - Current bar index
series (TimeSeries) - Source data series
period (number) - Number of periods for calculation
priceIndex (number) - Index of price data (default: 12)

Returns:

number (moving average value at specific bar)

Code Example:

_ema - Exponential Moving Average helper function

_ema(barIndex: number, series: TimeSeries, period: number, priceIndex?: number = 12): number

Parameters:

barIndex (number) - Current bar index
series (TimeSeries) - Source data series
period (number) - Number of periods for calculation
priceIndex (number) - Index of price data (default: 12)

Returns:

number (exponential moving average value at specific bar)

Code Example:

Common Usage Patterns

Golden Cross Strategy

Detect bullish momentum when fast MA crosses above slow MA

Price Support/Resistance

Use moving averages as dynamic support and resistance levels

Multiple MA Analysis

Combine different period moving averages for trend confirmation

Best Practices

💡

Period Selection

Common periods: 20 (short-term), 50 (medium-term), 200 (long-term). Adjust based on trading timeframe and market volatility.

⚡

EMA vs SMA

Use EMA for faster signals in trending markets, SMA for smoother signals in ranging markets. EMA reacts quicker to price changes.

📊

Confirmation

Combine moving averages with volume, RSI, or other indicators for stronger signal confirmation. Never rely on MA alone.

🎯

False Signals

Moving averages lag price action. In choppy markets, use additional filters to reduce whipsaws and false breakouts.