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Investing for Profit with Torque Analysis of Stock Market Cycles

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Product Details

  • Paperback
  • Publisher: Prentice-Hall (1973)
  • ASIN: B000OIR3Z8
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #9,393,503 in Books (See Top 100 in Books)

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Format: Paperback
This book by Bill Garrett does not deal with planetary cycles or cycle studies based on planetary movements. It sure discusses Fibonacci ratios and its application in cycle studies though.

It emphasizes the role of volume in cycle studies. In the Torque analysis of stock market cycles, it uses the following equation:

Torque = Force * Radius

Here torque represents price, volume for force and cycle for radius. In his schema of things, "price is a result of the pressures of cycle and volume,...volume is the force which moves price cycles and we also know that cycle and radius are identical. Our equation now reads Price/Volume = Cycle---or, the net movement of price divided by the net amount of volume equals the cyclical strength factor. Since we can easily establish price movement in the market and since we can calculate the net upward or downward pressure of volume, we can then arrive at a factor for cyclical strength. This method of analyzing cycles, we have labelled TORQUE analysis.

"The TORQUE analysis of cycles measures underlying forces, not prices. TORQUE analysis differs from other methods of measuring cycles because the TORQUE method recognizes that price in the market is not genuine unless it is the result of underlying forces. The first of these forces is volume, which is the force principally involved in the movement of price, and second, is the cyclical influence which determines when price will move and how long price will rise before it begins to decline. That is, a cycle in the market is a power which causes price to undulate in rhythmic fashion. It is an inclination toward price movement which arises because the relationship between buying and selling volume alternates at regular intervals of time.
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