Brian Shannon.pdf — Technical Analysis Using Multiple Time Frame By

Brian Shannon’s "Technical Analysis Using Multiple Time Frame" provides a structured approach for traders to align trends across different charts to optimize entries and manage risk. The methodology centers on analyzing three distinct time frames—macro, intermediate, and micro—to confirm market direction and identify high-probability setups within four key market stages: accumulation, markup, distribution, and markdown.

What sets Shannon apart is his rigorous, data-driven approach. He famously monitors —weekly, daily, 30-minute, 15-minute, and 5-minute—to see the full interplay between larger trends and shorter-term price action.

Always align your trade with the dominant HTF bias; use lower timeframes to improve entry precision and risk control—never the reverse. You don’t need expensive software

Shannon argues this trade has a high probability of success because the LTF trigger is backed by the HTF gravity.

You don’t need expensive software. Open your favorite charting platform (TradingView, ThinkorSwim, etc.). a proprietary day trader

Using multiple time frames offers several benefits, including:

No. He firmly believes no single timeframe gives the full picture. His real edge comes from understanding how multiple timeframes interact and influence one another. He famously monitors —weekly

Brian Shannon ’s "Technical Analysis Using Multiple Time Frames" advocates for a top-down, multi-horizon approach, using weekly or daily charts to identify market stage and trend, while using shorter time frames for execution. The strategy utilizes anchored VWAP and moving averages to align trades with the dominant, long-term trend, focusing on high-probability setups and risk management. For a comprehensive overview, one can explore the methodology of using multiple time frames for trading. AI responses may include mistakes. Learn more

Have you read Shannon’s work? What is your go-to combination of timeframes? Let me know in the comments below.

The book's longevity stems from a simple fact: market participants will always operate across different time horizons. A mutual fund manager, a proprietary day trader, and a retail investor putting money into her 401(k) all have vastly different timeframes, yet their actions collectively determine price. Multiple-timeframe analysis provides a way to get inside the heads of all these participants simultaneously and to position trades accordingly.