Skip to content
All library documents

Forecast Oscillator: Time-Series Forecast Signals and Interpretation

Article MQL5 code base

Summary

The document describes the Forecast Oscillator, attributed to Tushar Chande and based on his Time Frame Forecast method. It says the indicator compares the applied price with the prior time-series forecast and expresses the difference as a percentage of price. Its inputs are the calculation period, applied price, and signal-period length; the forecast calculation is built into the indicator rather than requiring a separate tool.

Positive readings are presented as a forecast of price growth, while negative readings suggest possible decline. The text recommends smoothing the oscillator with a three-day simple moving average and interpreting acceleration or crossings relative to that signal line alongside the oscillator’s position above or below zero. Such movements may indicate continuation, a pause, or a possible trend change, with a zero-line crossing offered as confirmation. The document gives no backtest, accuracy statistics, market-specific guidance, or risk controls, so these interpretations are hypotheses rather than validated trading rules.

Key ideas

  • The oscillator compares applied price with the previous time-series forecast and scales the difference by price.
  • Positive and negative readings are interpreted as directional forecasts for price.
  • A three-day simple moving average is suggested as a signal line.
  • Signal-line interactions may indicate continuation, a pause, or a possible reversal, depending on their direction and the zero-line position.
  • The document provides no empirical test of predictive accuracy.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.