Método adaptativo del seguimiento del mercado

A trend-following strategy using custom adaptive trend line indicators (FATL, SATL, FTLM, STLM) based on digital filters and spectral estimation for entry signa

Published · Updated · Methodology: Technical Indicators

Part of: Trendline Trading

  • Methodology: Technical Indicators
  • Content type: strategy
  • Markets: Any type of markets (though capitalization and liquidity affect maximum open position size)

Indicators used

  • FATL (Fast Adaptive Trend Line)
  • SATL (Slow Adaptive Trend Line)
  • RFTL (Reference Fast Trend Line)
  • RSTL (Reference Slow Trend Line)
  • FTLM (Fast Trend Line Momentum)
  • STLM (Slow Trend Line Momentum)
  • RBCI (Range Bound Channel Index)
  • PCCI (Perfect Commodity Channel Index)

Source video

Decoded from: Examinamos en la práctica el método adaptativo del seguimiento del mercado - Artículos sobre MQL5 by mql5.com — watch the original

Strategy overview

Classic trendline trading means drawing a line across successive highs or lows and treating breaks of and bounces off it as signals. This entry uses the term in a completely different sense: here the "trend lines" are not drawn at all, they are computed — outputs of digital filters applied to the price series, borrowed from signal processing rather than from chart geometry. FATL and SATL (Fast and Slow Adaptive Trend Line), their RFTL and RSTL reference counterparts, the FTLM and STLM momentum derivatives, and the RBCI and PCCI oscillators together form one family in which price is treated as a signal to be decomposed into frequency bands: slow components read as trend, fast components as noise or local oscillation.

The source is not a YouTube tutorial but an article from mql5.com — the MetaTrader developer library — and its framing, "examined in practice," points at the difference. Material written for that audience tends to arrive with the indicator set already implemented as custom indicators and to spend its effort on testing the behaviour of that toolkit rather than on teaching someone to draw a line on a chart. The eight indicators are also explicitly tiered: a fast branch and a slow branch, each with a lagged reference line and a momentum reading, plus two oscillators intended to describe the market's current state. That structure is what makes the method a system rather than a single signal.

No rule set was extracted for this entry, so nothing here reconstructs how the article combines those readings into entries, exits or filters. What is worth carrying away is the trade-off any filter-based approach inherits: smoothing suppresses noise at the cost of delay, and where the fast and slow branches split the frequency spectrum determines how early the system reacts and how often it reacts to nothing. Two filters with the same name and different band settings are, in practice, two different strategies.

Topics

adaptive market following · trading strategy · trend following · digital filters trading · spectral analysis trading · fatl indicator · satl indicator · tradingview strategy · any market strategy · ftlm indicator · stlm indicator · pine script · technical indicators

Frequently asked questions

Is an "adaptive trend line" the same as a trendline drawn on a chart?

No. A drawn trendline is a straight line anchored by hand to selected highs or lows. FATL and SATL are calculated lines that follow price continuously, produced by filters that separate the price series into slower and faster components — closer in nature to a moving average than to chart geometry.

What are FATL, SATL, FTLM, STLM, RBCI and PCCI?

They are the members of one indicator family: FATL and SATL are the fast and slow filtered trend lines, RFTL and RSTL are their lagged reference versions, FTLM and STLM express the momentum of those lines, and RBCI and PCCI are oscillators used to describe the market's current state, such as stretched or range-bound conditions.

Is this method tied to MetaTrader?

The source is an article from mql5.com, the MetaTrader development community, so the indicators are normally distributed as MQL custom indicators. The underlying idea — filtering price into frequency components — is platform-independent, but the ready-made implementations discussed in this genre of article are MetaTrader-native.

Does this page contain the method's trading rules?

No rule set was extracted from this source, so this entry covers the concept and the indicator family rather than a decision logic. Strategy Decoder catalogs the structure of strategies where the source material makes it explicit, and states plainly when it does not.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

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