S&P500 Short Term Market Breadth Analog Forecast Starting Jan 18, 2016
By Lawrence
Review of Forecast for Jan 11, 2016
Monday did not produce a flush down of 2% thus the 2% upside was not in play. Custom breadth did not reverse, so we did not get the rally of 3.5% or more. A bounce was produced but not the correct type. The breadth analog model did a fair job for the week.
Forecast Starting Jan 18, 2016
Summary of the S&P500 short-term forecast based on my proprietary market breadth analog model as of the close of Jan 15, 2016:
Slingshot flush down of 2% and quick squeeze back up 2% is possible on Monday (or Tuesday due to US holiday on Monday)
Bottom out on breadth basis will kick start a rally of 3.5% and more
My market breadth based analog model takes into account the short term volatility, daily market breadth readings and a few other intraday breadth data to identify the current market conditions. Using the information, the model then went through the historical data over the past 20 years to generate its statistical analysis. The model has been pretty good at identifying important swing tops and bottoms over the past few years by providing early warnings about potential volatility upticks.
S&P500 Short Term Market Breadth Analog Forecast Starting Jan 18, 2016
Review of Forecast for Jan 11, 2016
Monday did not produce a flush down of 2% thus the 2% upside was not in play. Custom breadth did not reverse, so we did not get the rally of 3.5% or more. A bounce was produced but not the correct type. The breadth analog model did a fair job for the week.
Forecast Starting Jan 18, 2016
Summary of the S&P500 short-term forecast based on my proprietary market breadth analog model as of the close of Jan 15, 2016:
For timely update including real-time trading signals and analysis join us today.
Report Snapshot
Short Explanation About The Model
My market breadth based analog model takes into account the short term volatility, daily market breadth readings and a few other intraday breadth data to identify the current market conditions. Using the information, the model then went through the historical data over the past 20 years to generate its statistical analysis. The model has been pretty good at identifying important swing tops and bottoms over the past few years by providing early warnings about potential volatility upticks.
For the technical explanation of the concept, you can read about it here, Market Breadth Primer: Market Breadth Analog Forecasting Method
To access the market breadth analog forecast report daily, sign up as our paid member now
Share