Global Accountancy Institute Weekly Trades Analysis for Alphabet Inc. (GOOG)
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Alphabet Inc. provides online advertising services in the United States, Europe, the Middle East, Africa, the Asia-Pacific, Canada, and Latin America. The company offers performance and brand advertising services. It operates through Google Services, Google Cloud, and Other Bets segments. The Google Services segment provides products and services, such as ads, Android, Chrome, hardware, Google Maps, Google Play, Search, and YouTube, as well as technical infrastructure; and digital content. The Google Cloud segment offers infrastructure and data analytics platforms, collaboration tools, and other services for enterprise customers. The Other Bets segment sells internet and TV services, as well as licensing and research and development services. The company was founded in 1998 and is headquartered in Mountain View, California. (Source: Yahoo finance)

Our Global Algorithmic Trading Software (GATS) #5 indicates the following for Alphabet Inc. (GOOG)

The Long Term Trend (LTT) is currently Bullish
The Medium Term Trend (MTT) is currently Bullish
The Short Term Trend (STT) is currently Bullish
The Micro Trend (MT) is currently Bullish

We are bullish on Alphabet Inc. (GOOG) in the short, medium and long term. Hence we will attempt a bullish trades based on the current short-term, medium-term and long-term bullish signal with potential trade entry signal as follows:

Global Potential Trade Entry Signal #1 : $2087.51
Global Minimum Catastrophe Hard Stop Loss GAP: $255.98
Global Maximum Catastrophe Hard Stop Loss GAP: $348.56
Global Minimum Catastrophe Trailing Stop: $2,523.87
Global Maximum Catastrophe Trailing Stop: $2,431.77
Global Minimum Profit Target: $3,549.32
Global Maximum Profit Target: $3,827.08

We have move the Global Adaptive Trailing Stop(GATS) to $2687.39 with the aim of adding additional positions.

Global Accountancy Institute use machine-learning, applied mathematics, and techniques from modern statistics to develop and refine models of the financial markets and to develop trading algorithms based on those models.

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