Wyckoff Analytics – Wyckoff Trading Course Part 1 (fall 2021)

Wyckoff Trading Course Part 1 (fall 2021) Curriculum

Sessions 1-5 : 

Marketstructural analysis. In this segment, you will learn to:

• Identify the all-important Change of Character in the price and volume of the market or of an individual security, allowing you to anticipate when it will move from a trending to a non-trending environment, and vice versa
• Understand the current price structural environment and its implications for trading at any given time
• Recognize key Wyckoff Events, such as buying and selling climaxes, springs, upthrusts, signs of strength or weakness, last points of support or supply, and more
• Distinguish Wyckoff Phases, which signify predictable developments in all trading ranges (and in all time frames), and allow you to spot when a new trend is about to emerge, so that you can place trades accordingly

Sessions 6-10 : 

Supply and demand. In this course component, you can learn to “read the market” on any chart through:

• Volume and price analysis, a visual application of Wyckoff’s principle of contrasting effort (volume) vs result (price movement) to understand what the larger market participants are doing and what they probably intend. This segment will comprise:
  • Bar-by-bar as well as swing-by-swing analysis of price and volume
  • Analysis of volume patterns in different Wyckoff Phases
  • Using historical analogues to compare recent price bar spread and volume with previous events, which can provide additional clues about the direction and character of future price movement

Sessions 11-12

Relative and comparative analysis. Another foundation of the Wyckoff Method involves comparing the performance of a stock, ETF or another security with that of the overall market or another instrument, helping you identify trade candidates that are likely to outperform both their peers and the overall market. Elements of this segment include:

• Relative and Comparative Analysis as an institutional signature of accumulation or distribution
• Fdentifying “Sweet spots” of outperformance as a predictor of future price behavior
• Filtering and scanning for relative outperformance characteristics

Session 15 Q&A session

Trade Management. Clear recognition and best practices regarding entry and exit points, stop-loss placement and movement, and proper scaling in and out of positions

Readmore about: Wyckoff Analytics

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