Oscillators - 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:

rsi()_cci()_stochastic()

Overview

RSI (Relative Strength Index)

Measures momentum by comparing recent gains to losses. Values oscillate between 0-100.

• Overbought: > 70 • Oversold: < 30 • Momentum divergence

CCI (Commodity Channel Index)

Measures deviation from statistical mean to identify cyclical trends and extremes.

• Overbought: > +100 • Oversold: < -100 • Trend strength

Stochastic Oscillator

Compares closing price to price range over time. Shows %K and %D lines.

• Overbought: > 80 • Oversold: < 20 • %K/%D crossovers

Functions Reference

rsi - momentum oscillator (0-100)

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

Parameters:

source (TimeSeries) - Source data for calculation
period (number) - Number of periods (typically 14)
priceIndex (number) - Index of price data (default: 1)

Returns:

TimeSeries (values 0-100)

Code Example:

_cci - Commodity Channel Index measures deviation from statistical mean

_cci(barIndex: number, series: TimeSeries, period?: number = 20, constant?: number = 0.015): number

Parameters:

barIndex (number) - Current bar index
series (TimeSeries) - Source data series
period (number) - Number of periods (default: 20)
constant (number) - Scaling constant (default: 0.015)

Returns:

number (CCI value, typically between -100 and +100)

Code Example:

_stochastic - Stochastic Oscillator compares closing price to price range

_stochastic(barIndex: number, series: TimeSeries, kPeriod?: number = 14, kSmoothing?: number = 3, dPeriod?: number = 3): [number, number]

Parameters:

barIndex (number) - Current bar index
series (TimeSeries) - Source data series
kPeriod (number) - %K periods (default: 14)
kSmoothing (number) - %K smoothing (default: 3)
dPeriod (number) - %D periods (default: 3)

Returns:

[number, number] ([%K, %D] values between 0-100)

Code Example:

Common Usage Patterns

RSI Divergence Detection

Identify potential reversals when price and RSI move in opposite directions

Multi-Oscillator Confirmation

Combine multiple oscillators for stronger signal confirmation

Best Practices

⚠️

Avoid False Signals

Oscillators can remain overbought/oversold for extended periods in strong trends. Always confirm with price action and trend direction.

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Divergence Analysis

Look for divergences between price and oscillator. When price makes new highs/lows but oscillator doesn't, reversal may be coming.

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Multiple Timeframes

Use oscillators on multiple timeframes. Higher timeframe signals are generally more reliable than lower timeframe signals.

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Market Conditions

Oscillators work best in ranging markets. In strong trends, use them for timing entries rather than counter-trend trading.