Doble Media Móvil, ATR

Adaptive trend-following strategy using double moving averages for entry rules and ATR for dynamic risk management across various markets and timeframes.

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Higher timeframe (for trend filter in advanced mode)
  • Markets: Cryptocurrency (BTC_USDT mentioned in backtest code snippet)

Indicators used

  • Doble Media Móvil (Double Moving Average)
  • ATR

Source video

Decoded from: Estrategia de trading adaptativo con seguimiento de tendencias de doble media móvil y control de riesgo ATR by fmz.com — watch the original

Strategy overview

A double moving average system reads trend from the relationship between two averages of different lengths — one fast, one slow — using how they align to decide which way the market is leaning. What sets this entry apart is its source: it was decoded from a video on fmz.com, an algorithmic-trading platform rather than a personality-led YouTube channel, and it frames the pairing as an "adaptive trend-following" system built for automation from the outset rather than a chart pattern traded by hand.

Two design choices give the setup its character. The first is that it is built in tiers: a basic mode that works from the two moving averages alone, and an advanced mode that adds a higher-timeframe moving average, so trend direction is confirmed on a slower clock before a position is taken. The second is the role of ATR — the "adaptive" half of the title. Rather than detecting trend, ATR governs risk: it lets stop distance and sizing scale with how volatile the market currently is, so the same rules behave differently in a quiet tape than in a fast one.

That combination — a scalable dual-average trend engine plus volatility-aware risk control — is a common template on quant platforms precisely because every piece is mechanical and easy to backtest. This page catalogs the strategy as decoded from the fmz.com source; the concept itself is straightforward to reconstruct and evaluate on historical data before committing capital.

Topics

doble media movil strategy · atr strategy · moving average strategy · trend following strategy · adaptive strategy · btc usdt strategy · cryptocurrency trading · pine script · tradingview strategy · trading strategy · risk management strategy · technical indicators · crossover strategy

Frequently asked questions

What is a double moving average strategy?

It uses two moving averages of different lengths and reads trend from how they line up — typically treating the faster average's position relative to the slower one as the reference for which side of the market to trade.

What does ATR add to this setup?

ATR (Average True Range) measures volatility, and here it is used for adaptive risk control — letting stop distance and sizing respond to current market conditions instead of staying fixed, which is what the "adaptive" in the video title refers to.

What is the difference between the basic and advanced modes?

The basic mode works from the two moving averages themselves; the advanced mode adds a higher-timeframe moving average as a trend filter, so direction is confirmed on a slower timeframe before entries are taken.

How can I test a double moving average strategy?

Because both the trend logic and the ATR-based risk are fully mechanical, you can backtest it on historical data before trading. Strategy Decoder extracts the structure of strategies like this from their source videos so you can evaluate and test them 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.

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