ALGOBEE TRADING SOLUTIONS LLP

In their own words

The future of financial services will belong to those who can capture and capitalize on data. And it all begins with employing modern data strategies in four critical areas.A successful deep learning and AI strategy is the new heart of modern business operations.A company that leans heavily on machine learning to improve the customer's experience in the finance , stock market ,retail , telecom industry and deliver 'micro-moments,' or experiences that delight the customers along the way. It's through machine learning and the usage of A.I. that the company plans to dominatethe playing field, Alogbee Trading solutions LLP plans to 1.Leverage AI, machine learning and predictive analytics. 2.Get scalable, high-speed access to vast amounts of data. 3.Respond faster, become more competitive, and attract new customers. Algobee Trading Solutions LLP plans to implement the following solutions in the domain of A.I 1)AI has the potential to create never-before-seen value for Learning and Development teams.From automatically tagging learning content to translating course content into multiple languages to suggesting courses that are relevant to each user, AI works in the background to do the heavy lifting so you can concentrate on the more important stuff. In order to make informed suggestions to learners, Algobee Trading solutions plan to implement and AI Based Learning Management System (LMS) with AI have the ability to assess and curate each piece of content it comes across with the following salient features included a)AI automatically sifts through content that is not applicable to a learner’s journey, and puts only the most relevant and engaging content in front of them. b)It learns which formats each learner prefers (from webinars to games), and also curates the style of course to what has seen the best results in the past. c) Considering The demand for personalized learning is stronger than ever.Employees want to learn on their own terms and have great expectations for flexibility – they want to learn anytime, anywhere. System will ensure personalized experiences for each of the learners by analyzing their behavior, what courses they’ve interacted with most, and their preferred format for learning. Furthermore This information will then used to understand what’s most relevant to a learner and then present courses that fit with this to produce a less linear but more effective pathway to information retention. d)AI to makes the learning platform responsive to individual needs by adapting intelligently to their requests, increasing their engagement. 2. Combination of A.I , Recommendations systems for automated allocation and portfolio management The system will take the risk and reward ratio Against each investment tool , say stocks , Futures , Currency, FDs , NCDs , PPF , Commodities , AI to do the capital allocation based on the expected return and automatically would allocate the capital in the tools calculating the risks and rewards to maximize the returns or near to the expected return.Based on allocation again it would recommend the best picks in that particular sector/tool and would automatically allocate . 3. Discovering Patterns Incredibly powerful computers are able to crunch almost countless data points in minutes. This means they are also able to detect historical and replicating patterns for smart trading that are often hidden to human investors. Humans simply aren’t capable of processing that much data or seeing these patterns at the same rate of technology (if at all). Consider that AI can evaluate thousands of stocks in moments. 4. Predictive Trading Based On Sentiment By analyzing news headlines, social media comments, blogs and more, AI can predict the direction of stocks and the moves of other traders via sentiment analysis — the process of categorizing opinions (or sentiment) people have shared in text. 5.Artificial Intelligence can serve as a boon for retail companies that gather and possess customer data. AI can derive meaningful conclusions from massive amount of data and help companies to create personalized shopping experiences via highly-structured web shops, intelligent in-store bots and online chatbots

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