Meshal Al-Sultan (@meshalalsultan)

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GM_Stock_Price_Prediction_and_trend_macd_atr

GM_Stock_Price_Prediction_and_trend_macd_atr
Jupyter Notebook
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Trading_Adviser_Chatbot_ON_Whatsapp

This project is a Trading Adviser Chatbot designed to assist traders in making better decisions. The chatbot leverages AI to provide insightful trading advice and is integrated with WhatsApp via Twilio.
Python
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Creating-the-Paywalled-Stock-Market-Prediction-Service

In our final ML-to-WebApp project, we will create a stock market prediction application behind a real paywall service. We will apply the power of TensorFlow, a high-performance numerical computation framework, on stock market data to offer predictions of future prices. In this hypothetical application, viewers will have to purchase subscriptions for your service through the powerful web plugin Memberful.com. This is a critical point I can't emphasize enough, whenever you are dealing with sensitive data that isn't your main business, push that work onto others that do specialize in it. The last thing you want is to be responsible for stolen customer data. Here, I will show you a great way to monetize your business without unnecessary risks in a fully professional ecosystem.
HTML
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Sentmint-Tweet-about-user-

What is sentiment analysis? Sentiment Analysis is the process of ‘computationally’ determining whether a piece of writing is positive, negative or neutral. It’s also known as opinion mining, deriving the opinion or attitude of a speaker. Why sentiment analysis? Business: In marketing field companies use it to develop their strategies, to understand customers’ feelings towards products or brand, how people respond to their campaigns or product launches and why consumers don’t buy some products. Politics: In political field, it is used to keep track of political view, to detect consistency and inconsistency between statements and actions at the government level. It can be used to predict election results as well! Public Actions: Sentiment analysis also is used to monitor and analyse social phenomena, for the spotting of potentially dangerous situations and determining the general mood of the blogosphere.
Python
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