S&P500 Short Term Market Breadth Analog Forecast Starting Jan 25, 2016
By Lawrence
Review of Forecast for Jan 18, 2016
Custom breadth extreme on Wednesday produced the expected rally back up to near the 3.5% projection. Premium members were told to watch out for the 100-point rally off that low in real-time. The breadth analog model did an excellent job for the week.
Forecast Starting Jan 25, 2016
Summary of the S&P500 short-term forecast based on my proprietary market breadth analog model as of the close of Jan 22, 2016:
Continuation to the upside likely
Decline on daily level likely resume by the end of the week or the beginning of the week after
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.
Lawrence's Comment
Recap
Break below Y-1 and that Y-1 turned into resistance, the bearish case unfolded. We got our target of Y-2 by mid week. The tricky part is that 1280 ...
S&P500 Short Term Market Breadth Analog Forecast Starting Jan 25, 2016
Review of Forecast for Jan 18, 2016
Custom breadth extreme on Wednesday produced the expected rally back up to near the 3.5% projection. Premium members were told to watch out for the 100-point rally off that low in real-time. The breadth analog model did an excellent job for the week.
Forecast Starting Jan 25, 2016
Summary of the S&P500 short-term forecast based on my proprietary market breadth analog model as of the close of Jan 22, 2016:
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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
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