Multiple Time Frame Trading Strategy

Learn a multi-timeframe trading strategy for ETFs, using Weekly, Daily, and Intraday charts. Filter trends with historical closing prices to identify long entri

Published · Updated · Methodology: Technical Indicators

Part of: Algorithmic & Automated Trading

  • Methodology: Technical Indicators
  • Content type: strategy
  • Timeframes: Weekly, Daily, Intraday
  • Markets: ETFs (specifically XLP, consumer staples)

Source video

Decoded from: Strategy With Multiple Time Frames (Backtest) by Quantified Strategies — watch the original

Key timestamps:

  • 0:00 - Introduction to multiple time frame strategy
  • 0:17 - Rule 1: Long-term trend filter
  • 0:23 - Rule 2: Intermediate trend filter

Strategy overview

Multiple time frame trading uses more than one chart resolution to make a single decision — a higher resolution to establish direction, a lower one to act on it. What distinguishes this entry is the ladder it names: Weekly, Daily and Intraday, three levels rather than the usual two. Note the asymmetry in how they are specified. Weekly and Daily are exact bar sizes; "Intraday" is a category, not a resolution. The two upper rungs have to be fixed for a trend filter to mean the same thing on every rerun, while the execution rung is left open — which is what you would expect when the upper layers carry the conditions and the lowest one only carries the timing.

The source video, "Strategy With Multiple Time Frames (Backtest)" from Quantified Strategies, puts the rules up front: its published chapters move from the introduction into Rule 1, a long-term trend filter, at 0:17, and Rule 2, an intermediate trend filter, six seconds later. Both disclosed rules are filters, and they descend in horizon — long-term, then intermediate — matching the top two rungs of the ladder. The chapter list stops there, at the layer above the one where a position is actually opened. The entry is tagged as a technical-indicator method with no specific indicator recorded, which fits that shape: what is being taught is the hierarchy and the order in which its conditions are checked, not any particular oscillator.

The thing worth understanding about a cascade like this is what stacking filters does to the count of trades. Each added level is a conjunction — a setup only survives when every rung agrees at once — so a three-level version of an idea will qualify on far fewer days than a two-level version of the same idea over the same history. That attrition is the structural cost of trading with the larger trend, and it lands directly on the sample size any test of the approach has to work with. No structured rules were extracted for this entry, so this page covers the concept and the source rather than a rule-by-rule breakdown.

Topics

multiple time frame strategy · trading strategy · pine script · tradingview strategy · etf trading strategy · weekly trading · daily trading · intraday trading · trend following · technical indicators · xlp trading strategy · price action · swing trading

Frequently asked questions

What is a multiple time frame trading strategy?

It is a strategy that consults two or more chart resolutions before a single decision — typically a higher time frame to establish the prevailing direction and a lower one to time the entry within it. This version works across three levels: weekly, daily and intraday.

Which time frames does this strategy use?

Weekly, daily and intraday. The two higher levels are named as exact resolutions, while the intraday level is recorded as a category rather than a fixed bar size — the upper layers hold the trend conditions, the lowest one handles execution.

Why apply a trend filter on more than one time frame?

Because each filter is a condition that must hold at the same time as the others, requiring agreement across horizons is meant to keep entries pointed the same way as the larger move. The trade-off is opportunity count: every additional condition narrows the set of days that qualify, so a deeper filter stack trades less often than a shallower one over the same history.

Are the detailed rules of this strategy available here?

No structured rules were extracted for this entry, so this page describes the multiple time frame concept and points to the source video by Quantified Strategies, which presents its long-term and intermediate trend filters directly. Strategy Decoder extracts strategy structure from video sources where it can be identified, and any multi-time-frame approach is best assessed on historical data spanning several market regimes before it is traded.

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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