This book provides a method for extracting timing information from market data using a variant of Elliott Wave labelling. Using the revised labelling, specific points in price and time are run through a series of equations via spreadsheets that give timing information, as well as uncovering powerful trend lines that are invisible on normal charts. Instructions are provided for constructing he necessary spreadsheets, and tutorials are included using a standard calculator to familiarize the reader with how the equations work. Some trading principals are also discussed.
The core of the system produces corrections to the use of calendar days as the ordinate or x-axis on most market charting programs. These corrections replot the charts on a modified logarithmic scale. This scale has precisely calibrated increments called 'nodes' which statistically have higher than average probabilities of trend change at the points in calendar time that these labelled increments represent. By combining results from either nested or adjacent Elliott Wave patterns, 'overlapping' nodes from both patterns reinforce the windows in time where trend change will be the most common.
This book provides a method for extracting timing information from market data using a variant of Elliott Wave labelling. Using the revised labelling, specific points in price and time are run through a series of equations via spreadsheets that give timing information, as well as uncovering powerful trend lines that are invisible on normal charts. Instructions are provided for constructing he necessary spreadsheets, and tutorials are included using a standard calculator to familiarize the reader with how the equations work. Some trading principals are also discussed.
The core of the system produces corrections to the use of calendar days as the ordinate or x-axis on most market charting programs. These corrections replot the charts on a modified logarithmic scale. This scale has precisely calibrated increments called 'nodes' which statistically have higher than average probabilities of trend change at the points in calendar time that these labelled increments represent. By combining results from either nested or adjacent Elliott Wave patterns, 'overlapping' nodes from both patterns reinforce the windows in time where trend change will be the most common.
Elliott Wave Timing Beyond Ordinary Fibonacci Methods
Elliott Wave Timing Beyond Ordinary Fibonacci Methods
Product Details
| BN ID: | 2940152432978 |
|---|---|
| Publisher: | Mark Lytle |
| Publication date: | 10/26/2015 |
| Sold by: | Smashwords |
| Format: | eBook |
| Sales rank: | 790,605 |
| File size: | 3 MB |