OPEN-SOURCE SCRIPT

SMTData | Multi-Timeframe Stochastic %K

Description of the Indicator
This indicator is designed to provide a multi-timeframe stochastic oscillator that displays the %K values for monthly, weekly, and daily timeframes on a single chart. It also visually highlights the overbought (above 80) and oversold (below 20) zones with a light gray shaded background for easier interpretation.

Key Features:
Multi-Timeframe Stochastic %K:

Displays the %K values for monthly, weekly, and daily timeframes, allowing traders to analyze trends across different timeframes simultaneously.
Users can enable or disable the display of specific timeframes through input settings.
Overbought and Oversold Zones:

Highlights the region between 20 and 80 with a light gray shaded background.
Helps users quickly identify when the stochastic values are within the normal range (between overbought and oversold).
Customization:

Allows users to adjust the stochastic settings, including the length (K Length), the smoothing factors for %K and %D, and the timeframes to be displayed.
Visual Enhancements:

Plots horizontal dotted lines at 80 (overbought) and 20 (oversold) for reference.
Uses distinct colors for each timeframe:
Red for monthly.
Blue for weekly.
Green for daily.
Use Case:
This indicator is ideal for traders who rely on stochastic oscillators to identify overbought and oversold conditions but want the added power of multi-timeframe analysis to confirm trends or reversals.
The shading and visual aids reduce cognitive load, enabling quick decision-making.
multitimeframeOscillatorsTrend Analysis

Script open-source

In pieno spirito TradingView, l'autore di questo script lo ha pubblicato open-source, in modo che i trader possano comprenderlo e verificarlo. Un saluto all'autore! È possibile utilizzarlo gratuitamente, ma il riutilizzo di questo codice in una pubblicazione è regolato dal nostro Regolamento. Per aggiungerlo al grafico, mettilo tra i preferiti.

Vuoi usare questo script sui tuoi grafici?

Declinazione di responsabilità