S&P500 Short Term Market Breadth Analog Forecast Starting Jul 27, 2015
By Lawrence
Review of Forecast for Jul 20, 2015
Bearish bias worked out perfectly as Monday formed the top. S&P dropped to the 1.5% mark which led to further downside into the end of the week. Not even Amazon surprise earning could stop the drop down to weekly open gap below. The breadth analog model did a great job last week.
Forecast Starting Jul 27, 2015
Summary of the S&P500 short-term forecast based on my proprietary market breadth analog model as of the close of Jul 24, 2015:
1% bounce potential in place
Mild bearish bias towards end of the week
Printing -1.5% or more on closing basis will point to all out selloff potential
No trend for the coming 2 weeks
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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.
I have a long list of questions and requests that are specifically about Emini day trading. Many of them are very much recurring questions like “I am interested in day ...
S&P500 Short Term Market Breadth Analog Forecast Starting Jul 27, 2015
Review of Forecast for Jul 20, 2015
Bearish bias worked out perfectly as Monday formed the top. S&P dropped to the 1.5% mark which led to further downside into the end of the week. Not even Amazon surprise earning could stop the drop down to weekly open gap below. The breadth analog model did a great job last week.
Forecast Starting Jul 27, 2015
Summary of the S&P500 short-term forecast based on my proprietary market breadth analog model as of the close of Jul 24, 2015:
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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