RSI, Moving Average, MACD, Candlestick Patterns, Multi-Timeframe Analysis, Divergence Strategy

Gold and EUR/USD multi-timeframe system: SMA 200 trend filter on H4/daily, hourly RSI 14 crosses of 30/70, MACD signal crosses and divergence setups.

Published · Updated · Methodology: Technical Indicators

Part of: Moving Average Strategies

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: H4 chart, daily chart, weekly chart, 1-hour chart
  • Markets: XAUUSD (Gold), EURUSD

Indicators used

  • RSI
  • SMA
  • MACD
  • Candlestick Patterns

Source video

Decoded from: Mastering the RSI: Proven Strategies for Smarter Trading Decisions | Tools & Strategies | OANDA | US by oanda.com — watch the original

Strategy overview

A moving average smooths price into a single trend-context line, and in most strategies the long-term 200-period average exists to answer one question: which side of the trend are we on? This entry, though, is not really a moving-average pitch — it is decoded from OANDA's broker-education video "Mastering the RSI", where the moving average is the supporting act and the Relative Strength Index is the lead.

The video's angle is confluence read from the top down. Rather than acting on a single oversold or overbought RSI reading in isolation, the approach layers the same momentum question across several timeframes — weekly, daily, four-hour and hourly — and asks for agreement from other tools before treating a signal as meaningful: MACD for momentum, classic reversal candlesticks such as the shooting star and the bullish engulfing for the turn, and divergence between price and RSI for exhaustion. The long-term moving average sits underneath all of it as the trend backdrop — the context that decides whether an oversold reading is a dip inside an uptrend or a knife falling through a downtrend.

As a broker-produced overview, the piece is framed as an educational tour of RSI ("Proven Strategies for Smarter Trading Decisions") rather than a single mechanical system, so the title's "proven" framing is marketing, not a measured result. This page situates that approach inside the moving-average family and maps how OANDA positions RSI as the primary signal with a long-term average as its trend filter — showing where the moving average actually does its work inside a multi-indicator setup.

Topics

rsi strategy · macd strategy · moving average strategy · candlestick patterns · multi timeframe analysis · divergence strategy · forex strategy · xauusd trading strategy · gold trading strategy · eurusd strategy · h4 chart strategy · daily chart strategy · swing trading strategy · technical indicators · tradingview strategy

Frequently asked questions

Is this a moving average strategy or an RSI strategy?

Both, but RSI leads. The source video centers the Relative Strength Index and uses a long-term (200-period) moving average as trend context rather than as the entry trigger. It belongs to the moving-average family here because that long-term average frames the trend within which the RSI signals are judged.

Why does the approach use several timeframes?

Reading the same momentum picture across weekly, daily, four-hour and hourly charts is a top-down way to filter signals: a setup that lines up on a higher timeframe and the chart you trade on carries more weight than one that appears on a single timeframe alone. It is meant to reduce action on isolated, out-of-context readings.

What role does the long-term moving average play next to RSI?

It supplies trend direction. The long-term average tells you whether the market is broadly rising or falling, which changes how an overbought or oversold RSI reading should be interpreted — a pullback to buy versus a bounce to fade — and that read is reinforced by MACD, reversal candlesticks and price–RSI divergence.

How can I test an RSI and moving-average confluence approach like this?

Backtest it on historical data across the timeframes it uses before risking capital. Strategy Decoder extracts the structure of strategies like this one from video sources so you can evaluate and test the logic 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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