S&P500 Short Term Market Breadth Analog Forecast Starting Jul 20, 2015
By Lawrence
Review of Forecast for Jul 13, 2015
First we have Greece last minute deal done, ramping S&P higher to the 1.5% mark which indicated further upside into the end of the week. Then Google earning helped to keep the price up til the end of the week. The breadth analog model did a fair job last week.
Forecast Starting Jul 20, 2015
Summary of the S&P500 short-term forecast based on my proprietary market breadth analog model as of the close of Jul 17, 2015:
Neutral with mild bearish bias for coming 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 wrote an article in the Futures magazine some time ago on S&P 500 Tick16 Index and a basic daytrading system that exploit the statistical bias on the index. Here ...
S&P500 Short Term Market Breadth Analog Forecast Starting Jul 20, 2015
Review of Forecast for Jul 13, 2015
First we have Greece last minute deal done, ramping S&P higher to the 1.5% mark which indicated further upside into the end of the week. Then Google earning helped to keep the price up til the end of the week. The breadth analog model did a fair job last week.
Forecast Starting Jul 20, 2015
Summary of the S&P500 short-term forecast based on my proprietary market breadth analog model as of the close of Jul 17, 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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