Adaptive Laguerre Indicator Filter Strategy

Explore the Adaptive Laguerre Indicator Filter Strategy for the S&P 500. This strategy uses an adaptive Laguerre filter and the IBS indicator to identify sell-o

Published · Updated · Methodology: Technical Indicators

Part of: Algorithmic & Automated Trading

  • Methodology: Technical Indicators
  • Content type: strategy
  • Markets: S&P 500 ETF

Indicators used

  • Adaptive Laguerre Filter
  • IBS indicator

Source video

Decoded from: Adaptive Laguerre Indicator Filter Strategy (Backtest) by Quantified Strategies — watch the original

Key timestamps:

  • 0:00 - Introduction to Adaptive Laguerre Indicator
  • 0:26 - How the Adaptive Laguerre Filter works
  • 0:44 - Trading strategy rules mentioned
  • 0:50 - Backtest results for S&P 500

Strategy overview

An indicator filter is a condition that decides when a strategy is allowed to act rather than what it trades. This entry, decoded from Quantified Strategies' video "Adaptive Laguerre Indicator Filter Strategy (Backtest)", puts that filter in the headline position and pairs it with a second, very different measure: the Adaptive Laguerre Filter alongside IBS.

The pairing is the interesting part, because the two components run on different clocks. A Laguerre filter is a smoother built to reduce the lag that ordinary moving averages pay for their smoothing, and the "adaptive" prefix means its responsiveness is not pinned to one fixed setting — it shifts with measured conditions, so the amount of smoothing is itself state-dependent. IBS (internal bar strength) is the opposite kind of number: it reads where the close sits inside a single bar's own high-low range, is bounded, carries no memory, and resets completely on the next bar. One component holds a view that changes slowly and adjusts its own memory length; the other has no memory at all.

That combination also has a quiet cost worth naming, since an adaptive component looks parameter-light on paper: the rule that governs the adaptation is a design choice too, so the visible settings understate the real degrees of freedom a backtest is fitting. The video's own timeline reflects a compact treatment — most of the runtime goes to explaining how the filter works, with the strategy rules and a single-market S&P 500 backtest arriving in the closing seconds. No rules or parameters were extracted for this entry, so this page stays at the level of the concept and the source rather than the mechanics.

Topics

adaptive laguerre filter strategy · ibs indicator strategy · technical indicators · trading strategy · pine script · tradingview strategy · s&p 500 etf · stock market strategy · laguerre filter strategy · sell on strength strategy · price action · john ehlers indicators

Frequently asked questions

What is an Adaptive Laguerre Filter?

It is a smoothing filter designed to track price with less lag than a conventional moving average, with an adaptive variant that varies its responsiveness according to measured market conditions instead of holding one fixed setting.

What does IBS measure?

IBS (internal bar strength) measures where a bar closes within its own high-low range, producing a bounded value near the low when the bar closes weak and near the high when it closes strong. It is calculated from a single bar and carries no memory of previous ones.

Why would a strategy combine a Laguerre filter with IBS?

They operate on different horizons: the filter provides a slower, smoothed reading of direction, while IBS provides a single-bar snapshot. Combining a slow-moving component with a fast one is a common way to separate the question of when a strategy may trade from the question of when it should act.

Does an adaptive indicator reduce the risk of overfitting a backtest?

Not automatically. An adaptive indicator can show fewer explicit settings, but the logic that drives its adaptation is itself a design decision, so the true number of choices being fitted is higher than the visible parameter list suggests.

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.

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