Moving Averages, MA200 Filter Strategy

Enhance moving average crossover strategies with an MA200 filter. This strategy details entry logic using two MAs, directional bias with the 200 MA, and adaptiv

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Not specified
  • Markets: Not specified

Indicators used

  • Moving Average

Source video

Decoded from: El 90% PIERDE por Esto | La Verdad que NO Te Cuentan Sobre Trading Con Medias Móviles by Ignacio Ayago | Trading con Bots — watch the original

Key timestamps:

  • 0:00 - Intro
  • 1:01 - The 4 Phases to Hack Moving Averages
  • 3:24 - Understanding Moving Averages
  • 8:16 - Backtesting
  • 9:33 - Third Moving Average
  • 13:16 - The Winning Moving Average Strategy
  • 15:15 - Emotional Early Close
  • 17:52 - Smart Partial Close

Strategy overview

A moving average smooths price into a single running line that most traders lean on to read trend direction — but this entry decodes a video whose entire premise is that the *usual* way of trading that line is exactly why most people lose. The source frames the moving average not as a magic buy/sell trigger, but as a tool that only starts working once you stop using it the way it is most commonly taught.

The video, "El 90% PIERDE por Esto | La Verdad que NO Te Cuentan Sobre Trading Con Medias Móviles" ("90% Lose Because of This") from the Spanish-language, automation-focused channel Ignacio Ayago | Trading con Bots, lays out its argument as four phases for "hacking" moving averages — moving from what the average actually measures, through backtesting, to layering in a further moving average before arriving at what it calls the winning combination. A long 200-period average acts as the higher-level trend filter, gating when the faster signal lines are allowed to act, which is where the strategy's name comes from.

The "90% lose" and "winning strategy" phrasing belongs to the video's own framing and is presented here as the creator's claim, not a verified result. This page centers on the concept and how this particular source approaches it — the trend-filter idea and the progression from a single moving average to a small stack — rather than a full rule-by-rule breakdown.

Topics

moving average strategy · ma200 filter strategy · technical indicators · trading strategy · pine script · tradingview strategy · crossover strategy · trend following · risk management · adaptive trailing stop · partial close strategy · ma crossover filter

Frequently asked questions

What is a moving average filter in a trading strategy?

A moving average filter uses a longer-period average — here a 200-period line — to define the dominant trend, so that trades are only taken in the direction that longer average supports. It filters out faster signals that run against the broader trend.

Why does the video claim 90% of traders lose with moving averages?

That figure is the video's own framing, not an independently verified statistic. Its argument is that most traders apply moving averages too simplistically — for example treating a single crossover as an automatic signal — and it presents a phased approach it considers more robust. The claim is attributed to the creator.

What makes this approach different from a simple moving average crossover?

Instead of relying on one average, the source builds up across several phases — including backtesting and adding a further moving average — and uses a long 200-period average as a trend filter over the faster lines, rather than acting on every crossover in isolation.

How can I evaluate a moving average strategy like this one?

Backtest it on historical data across different market conditions before committing capital, paying particular attention to how the trend filter changes the results. Strategy Decoder catalogs strategies like this one from their video sources so you can study the concept and test variations on TradingView.

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.

Other versions of this strategy

More decoded strategies