Price Volume Trend, Relative Volatility, Signal Moving Average Strategy

A 5-minute Bitcoin trading strategy using Price Volume Trend, Relative Volatility, and a Signal Moving Average for precise long and short entries. Includes clea

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: 5 minutos
  • Markets: Bitcoin (BTC/USD), otros pares o activos digitales

Source video

Decoded from: EL SECRETO de los TRADERS: Estos Indicadores Impresionantes GANAN más del 90% de Trades en 5 Minutos by Trading con Dinero Fácil — watch the original

Strategy overview

A moving average smooths a data series into a single directional line; in this strategy it appears as the "signal" component rather than a standalone trend filter, sitting alongside two very different readings of the same 5-minute chart. Decoded from the Spanish-language channel Trading con Dinero Fácil, the setup pairs Price Volume Trend — a cumulative measure of the volume behind each move — with a relative-volatility reading and a signal moving average, so that volume flow, volatility, and a smoothed trigger are read together rather than price alone.

Each indicator looks at a different dimension. Price Volume Trend ties volume to the size of each price change, aiming to show whether buying or selling pressure is actually driving a move; a relative-volatility measure tracks the direction in which volatility itself is expanding or contracting, a distinct question from raw momentum; and the signal moving average acts as the smoothing layer that a setup like this typically uses to turn noisy inputs into a cleaner trigger. On a 5-minute chart, where noise is high and signals are fleeting, layering a volume, a volatility, and a smoothing component is a common attempt to filter out false moves — though how the three are weighted and sequenced is what separates a workable rule from an over-fitted one.

The source video is titled "EL SECRETO de los TRADERS: Estos Indicadores Impresionantes GANAN más del 90% de Trades en 5 Minutos," a headline built around a 90%-win-rate claim. That number is worth reading the way you would any marketing figure: a win rate on its own says nothing about average win size, losses, or drawdown, and a high hit rate can still lose money if the losers are large. This page catalogs the strategy's concept and its source; treat the video's framing as the creator's pitch rather than a verified result.

Topics

price volume trend strategy · relative volatility strategy · signal moving average strategy · btc trading strategy · 5 minute strategy · bitcoin strategy · technical indicators · tradingview strategy · pine script · trading strategy · scalping strategy · price action

Frequently asked questions

What indicators does this 5-minute strategy combine?

Three, applied to the 5-minute timeframe: Price Volume Trend (a volume-based cumulative indicator), a relative-volatility reading, and a signal moving average. The idea is to read volume flow, volatility, and a smoothed trigger together rather than relying on price alone.

What role does the signal moving average play here?

In this setup the moving average is used as a smoothing or "signal" component rather than a standalone trend line — the layer meant to convert noisier underlying readings into a cleaner trigger. It is a conceptual role; the specific settings are part of the decoded detail, not the summary.

Does the strategy really win more than 90% of trades?

The 90% figure comes from the video's own title, not from any independent test. Judge it cautiously: a win rate by itself ignores reward-to-risk and drawdown, so a strategy can post a high hit rate and still be unprofitable. We don't publish or verify performance claims.

How can I evaluate a strategy like this before trading it?

Backtest it on historical 5-minute data and forward-test in a demo before risking capital, paying attention to average win/loss and drawdown rather than hit rate alone. Strategy Decoder catalogs strategies decoded from video sources so you can study the concept and test it 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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