Logo „Price-Time Filtering”
Wskaźnik
66 pobrania
Wersja 1.1, Jan 2026
Windows, Mac
Przesłany obraz „Price-Time Filtering”
Przesłany obraz „Price-Time Filtering”
Przesłany obraz „Price-Time Filtering”
Przesłany obraz „Price-Time Filtering”
Przesłany obraz „Price-Time Filtering”
Od 20/12/2024
7.08K
Bezpłatne instalacje

OVERVIEW


This indicator implements Alfred François Tagher's "Trend Identification By Price And Time Filtering" methodology, published in the February 2024 issue of Technical Analysis of Stocks & Commodities magazine.

The concept combines price action with time-based filtering to reduce market noise and identify sustained trends. Rather than reacting to every price movement, the indicator only changes trend direction when price closes beyond the prior period's range—a condition that signals genuine momentum rather than random fluctuation.


CORE RULES


The original rules are simple:

  • If the period's close exceeds the previous period's high → trend is UP
  • If the period's close is below the previous period's low → trend is DOWN
  • The trend remains unchanged until a reversal condition occurs

This approach filters out minor price movements that stay within the prior period's range, focusing only on breakouts that demonstrate commitment.


HOW IT WORKS


The indicator compares the current timeframe's close against the selected higher timeframe's previous period high and low:

  • Trend Up: Current close > Prior period high
  • Trend Down: Current close < Prior period low
  • No Change: Close remains within prior period's range

The histogram displays a running count of bars in the current trend direction—positive values for uptrends, negative values for downtrends. This visualizes both trend direction and duration.


FILTERING MODES


1. PeriodEnd Mode Evaluates trend only when a higher timeframe period completes. This matches the original methodology where weekly trend is determined by Friday's close (or month-end close for monthly). More stable, fewer signals.

2. RealTime Mode Evaluates trend on every bar using the current close against the prior period's range. Provides earlier signals but may produce more noise during the period.


PARAMETERS


  • TimeFrame: Higher timeframe for trend evaluation (e.g., Weekly, Monthly)
  • Mode: PeriodEnd (original methodology) or RealTime (responsive variant)


INTERPRETATION


  • Green histogram: Uptrend in progress, bar count shows duration
  • Red histogram: Downtrend in progress, bar count shows duration
  • Histogram reset: Trend reversal occurred

The indicator works best on daily charts with Weekly or Monthly timeframe selection, as described in the original article. However, the implementation supports any timeframe combination.


NOTES


  • Originally designed for daily charts with weekly/monthly evaluation
  • Works on any timeframe combination where the selected timeframe is higher than the chart timeframe
  • The bar count provides a measure of trend maturity—longer counts suggest established trends
  • Consider combining with price structure analysis for entry timing


REFERENCE

Tagher, Alfred François. "Trend Identification By Price And Time Filtering." Technical Analysis of Stocks & Commodities, February 2024.


__________________________________________________________________________________________


MORE FREE INDICATORS


Explore a wide range of market analysis tools—from structure and volume to regression, volatility, and custom timeframes.

Source code is available on GitHub repository.

All free to use. But if you feel like sending coffee support, you can route it here.


Support/Resistance


Volume


Moving Averages


Utilities/Custom


Regression-Based


Volatility


Oscillators


__________________________________________________________________________________________


DISCLAIMER

Trading involves risk. This indicator is intended for technical analysis only — always apply proper risk management and trade responsibly.


FEECBACK & IMPROVEMENTS

If you have suggestions, feature requests, or ideas for enhancement, please leave a comment in the Discussion tab. Your feedback helps improve the indicator for everyone.

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