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This Week on Wall Street - Week of July 24th

Although large caps remained level with a high Newton score, mid and small caps faded slightly. Overseas, momentum has stalled as the dollar abruptly stopped its decline. Among sectors, we are seeing fresh names on top as Staples, Energy, Financials, and Industrials lead the pack. Communications and Real Estate are at the bottom of the pile.

Market Commentary

Although large caps remained level with a high Newton score, mid and small caps faded slightly. Overseas, momentum has stalled as the dollar abruptly stopped its decline. Among sectors, we are seeing fresh names on top as Staples, Energy, Financials, and Industrials lead the pack. Communications and Real Estate are at the bottom of the pile.

It is a busy week on the economic data front as we get a key decision out of the Federal Reserve on Wednesday. It is very likely we will see one more 0.25% rate hike after the Fed's initial pause at the last meeting. Whether this is the ultimate rate hike of the cycle remains questionable. Investors are still trying to parse through incoming data and the effect of policy lag on the economy.

It is also an especially important week for earnings as the focus turns to the heavyweight US tech firms. Despite facing quarter-over-quarter and year-over-year declines in earnings so far, the Q2 results have mostly met expectations 20% of the way through the reporting period.

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What is Newton?

Our Newton model attempts to determine the highest probability of future price direction by using advanced algorithmic and high-order mathematical techniques on the current market environment to identify trends in underlying security prices. The Newton model scores securities over multiple time periods on a scale of 0-20 with 0 being the worst and 20 being the best possible score. Trend & level both matter.

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Economic Releases This Week

Monday: Flash US Manufacturing & Services PMI

Tuesday: S&P Case-Shiller Home Price Index, Consumer Confidence

Wednesday: Fed Decision, New Home Sales

Thursday: Initial & Continuing Jobless Claims, GDP, Pending Home Sales, ECB Decision

Friday: PCE Index

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Technical trading models are mathematically driven based upon historical data and trends of domestic and foreign market trading activity, including various industry and sector trading statistics within such markets. Technical trading models, through mathematical algorithms, attempt to identify when markets are likely to increase or decrease and identify appropriate entry and exit points. The primary risk of technical trading models is that historical trends and past performance cannot predict future trends and there is no assurance that the mathematical algorithms employed are designed properly, updated with new data, and can accurately predict future market, industry and sector performance.