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Artificial Intelligence System Highly Experienced

Thanks to Aishe, there are not too many requirements that a trader must fulfill. The most important thing is to have a set up MT4 account with a broker with RTD and DDE. In addition to this, the trader needs their own capital (the lower it is, the less profitable automatic trading becomes). The trading strategy also depends on the trader's experience and budget. Having a basic understanding of the market or at least knowing how to set up a computer is recommended. However, the technical aspect must not be overlooked: a stable internet connection is essential to keep the Aishe system running smoothly. This is simply due to the volatility in the market or the relatively high stock prices in the stock market. Advantages So, what are the benefits of using an AI trading system? Many traders will relate to the following sentence: the biggest advantage of automation is that the emotions of the trader do not play a role! How many times have traders lost money because they didn't tr...

Artificial Intelligence System Highly Experienced

Thanks to Aishe, there are not too many requirements that a trader must fulfill. The most important thing is to have a set up MT4 account with a broker with RTD and DDE. In addition to this, the trader needs their own capital (the lower it is, the less profitable automatic trading becomes). The trading strategy also depends on the trader's experience and budget. Having a basic understanding of the market or at least knowing how to set up a computer is recommended. However, the technical aspect must not be overlooked: a stable internet connection is essential to keep the Aishe system running smoothly. This is simply due to the volatility in the market or the relatively high stock prices in the stock market. Advantages So, what are the benefits of using an AI trading system? Many traders will relate to the following sentence: the biggest advantage of automation is that the emotions of the trader do not play a role! How many times have traders lost money because they didn't trade ...

How AI is revolutionizing the future of work with the AISHE system

The world of work is rapidly evolving, and artificial intelligence (AI) is playing a key role in this transformation. The AISHE system, which stands for "Artificial Intelligence System Highly Experienced," is one example of how AI is being used to revolutionize the future of work. Artificial Intelligence System Highly Experienced The AISHE system is a human-centric approach to AI that aims to enhance human skills and productivity rather than replace them. It is designed to be a complementary tool for workers, not a substitute. The system works by analyzing data and providing insights that can be used to optimize work processes and improve decision-making. One of the key benefits of the AISHE system is its ability to enable virtual working. With the rise of remote work due to the COVID-19 pandemic, virtual working has become the norm for many knowledge workers. The AISHE system provides the framework and technology for remote collaboration, allowing teams to work together seam...

What is the AISHE-System - Artificial Intelligence System Highly Experienced

The AISHE-System is an artificial intelligence (AI) system designed to automate online trading and earn real money for its owner. It uses a combination of technologies, such as DDE (Dynamic Data Exchange), RTD (Real-Time Data), FTP (File Transfer Protocol), and GDrive, to exchange data and autonomously make decisions within the AISHE Cloud Chain network. The system requires a separate computer with certain specifications, including an Intel® i5/i7 or AMD processor, 8GB RAM, 0.5GB free disk space, a screen resolution of 1024x768px, and the Chrome browser. It is also recommended to have Windows 10 or 11 (64 Bit), Microsoft Office 2016/2019, and language packages for English and German installed. The AISHE-System is designed to operate within a "swarm intelligence" framework, collaborating with other AISHE-Systems to share and analyze historical data and experiences in real-time. It uses this information to compare the current state of the market with past experiences and make b...