Technical Analysis Using Multiple Time Frame By Brian Shannonpdf [patched] Full -
Execute the trade with a tight stop just below the intraday support level identified in Step 2. Risk Management and Stop Placement
Brian Shannon doesn't just talk about the concept; he practices it daily. He is known for looking at :
Your entry trigger dictates your stop placement. If you enter on a 5-minute chart pattern, your stop should be placed just below the structural invalidation level of that 5-minute pattern, not the daily chart support. This keeps your dollar risk small while leaving your upside open to higher-timeframe targets. Execute the trade with a tight stop just
Markets are fractal, meaning chart patterns and trends repeat across different time horizons. A stock might look incredibly bearish on a 5-minute chart, but that drop could simply be a minor pullback within a massive, bullish daily trend.
While the philosophy provides the "what" and "why," specific technical tools provide the "how." Brian Shannon's methodology integrates a select few powerful tools that, when combined, create a robust trading system. If you enter on a 5-minute chart pattern,
He uses moving averages to identify the trend's slope and structure.
Another core tool is the 5-day moving average, which Shannon uses to gauge . In a healthy uptrend (Stage 2), price tends to stay above the 5-day MA, using it as dynamic support. Pullbacks to this moving average often present low-risk entry opportunities for swing traders. Conversely, in a downtrend (Stage 4), the 5-day MA acts as resistance. A stock might look incredibly bearish on a
If you are looking for the full, detailed examples, charts, and psychological insights provided by Brian Shannon, purchasing his book, Technical Analysis Using Multiple Timeframes , or studying his work on Alphatrends is highly recommended. A deeper look into techniques? Examples of bull flag setups using this framework? Technical Analysis Using Multiple Timeframes
The stock moves sideways in a range after a long decline. Volatility decreases, and moving averages flatten out.