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  1. Honor's Magic 7 Could Use AI to Order You Coffee, Organize Your Plans

    by , 10-25-2024 at 06:17 AM
    Honor says its soon-to-be-released Magic 7 phone will handle your morning coffee order, tailored exactly to your taste, right down to the type of milk you prefer.
    The Chinese company released a demo video to the media on Tuesday showing a text-based interaction between a person and the device's AI assistant, Yoyo. The user requests the assistant to order him a pick-me-up beverage saying, "Please help me order a drink. I am feeling a little sleepy." The AI assistant then goes on to launch ...
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  2. Developing a multi-currency Expert Advisor (Part 9): Collecting optimization results for single trading strategy instances

    by , 10-24-2024 at 01:24 PM
    We have already implemented a lot of interesting things in the previous articles. We have a trading strategy or several trading strategies that we can implement in the EA. Besides, we have developed a structure for connecting many instances of trading strategies in a single EA, added tools for managing the maximum allowable drawdown, looked at possible ways of automated selection of sets of strategy parameters for their best work in a group, learned how to assemble an EA from groups of strategy
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  3. Data Science and ML(Part 30): The Power Couple for Predicting the Stock Market, Convolutional Neural Networks(CNNs) and Recurrent Neural Networks(RNNs)

    by , 10-24-2024 at 08:11 AM
    In the previous articles, we have seen how powerful both Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are and how they can be deployed to help beat the market by providing us with valuable trading signals.

    In this one we are going to attempt combining two of the most powerful techniques CNN and RNN and observe their predictive impact in the stock market. But before that let us briefly understand what CNN and RNN are all about.
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  4. Self Optimizing Expert Advisor with MQL5 And Python (Part III): Cracking The Boom 1000 Algorithm

    by , 10-24-2024 at 07:24 AM
    We will analyze all of Deriv’s synthetic markets individually, starting with their best known synthetic market, the Boom 1000. The Boom 1000 is notorious for its volatile and unpredictable behavior. The market is characterized by slow, short and equally sized bear candles that are randomly followed by violent, skyscraper sized bull candles. The bull candles are especially challenging to mitigate because the ticks associated with the candle normally aren’t sent to the client terminal, meaning
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  5. Self Optimizing Expert Advisor With MQL5 And Python (Part V): Deep Markov Models

    by , 10-22-2024 at 11:30 AM
    In our previous discussion on Markov Chains, linked here, we demonstrated how to use a transition matrix to understand the probabilistic behavior of the market. Our transition matrix summarized a lot of information for us. It not only guided us on when to buy and sell, it also informed us whether our market had strong trends or was mostly mean reverting. In today's discussion, we shall change our definition of the system state from the moving averages we used in our first discussion to the
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