Hey You! I have some exciting news!
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I'm excited to announce the official launch of a brand new AI-Powered Feature: the AI-Powered Stock Screener! 🥳
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A Stock Screener? How is that useful? 🤔
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The AI-Powered stock screener redefines what's possible in an investing app. When searching for new investment opportunities, traditional platforms do not offer tools to make this possible. Traditional search tools and screeners are opaque, rigid, require technical knowledge, or don't let you query for the information you need.
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For example, Robinhood, one of the world's most popular brokerages, shows users:
- Stocks that hit a new 52 week high/low 📈
- Stocks that are "daily gainers" 📊
- Stocks that belong in one broad category (like technology or energy) 💡
But trying to search for niche industries, PE ratio, PS ratio, volume, price, market cap, total assets, revenue, income, or other fundamental indicators is impossible in the majority of investing platforms.
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In fact, I'll dare say that there isn't a single popular investing platform that lets users query for for this type of information, particularly in an intuitive way accessible to everybody.
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Yet NexusTrade allows you to do exactly this. With its advanced AI-Powered Chat, users can interact with a chat bot and execute highly complex queries intuitively. You don't need to learn a domain-specific programming language. You don't have to understand SQL and MongoDB. You can use natural language and achieve flawless results within seconds.
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This includes searching through over 130 industries including healthcare, biotechnology, 3D printing, and renewable energy. In addition, users can filter their search by market cap, price-to-earnings ratio, revenue, net income, EBITDA, free cash flow, and more. This solution offers an intuitive approach to finding potential investment opportunities and novel stocks by allowing you to use plain English to specify your search criteria.
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Some other example queries you can try include:
- Find 7 semiconductor stocks who generated the most revenue in Q3 2023
- Find 4 transportation, automobile, and airline stocks that had the largest EBTIDA increase since 2020, sort by Free Cash Flow decreasing
- Query the top 12 nanotechnology stocks with a market cap below $3 billion and a net income greater than 0
- (Complex, may need GPT-4): Query for the biotechnology, bioinformatics, computational biology, and computational chemistry stocks with a net income greater than 0, free cash flow greater than $1million. Sort by income.
With GPT-4, you can even build more complex queries, allowing you to search across multiple companies, with multiple criteria, all with natural language. It's insanely powerful!
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Want to know which fundamental indicators and industries Aurora supports? Ask her to find out!
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While this feature is insanely powerful and can execute a diverse range of queries, it does come with some limitations.
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To start, the functionality isn't flawless yet. There are often times where you execute a relatively complex query, and you can't tell if no such stocks exist, or if the model had a bug producing the correct output. For example:
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When getting this error message, it can mean one of three things, and each of them is very hard for the end-user to detect.
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- The model could've did a poor job at interpreting the input
- The input data is messed and the model did what it was supposed to do
- The request from the user simply returned no results.
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Let's briefly talk about some of these issues, and how I intend to address it in the next few weeks.
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Improving Model Interpretation
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For those that read the technical article, you'll know that the model translates plain English into a MongoDB Aggregation Pipeline, which is essentially code that runs against a database. It's quite possible that the data in the database existed and was accurate, but the model did a bad job at generating the correct code.
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GPT-4 is far less likely to make this type of mistake. While I am actively improving the GPT-3 experience, which makes up the vast majority of chat requests, I encourage you to upgrade your account to get a more seamless experience with this feature.
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Improving the Data Quality
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To execute this functionality, I rely on external data partners to surface historical fundamental data. If there exists a problem in the database, particularly for a niche stock or an outlier, the problem will be quickly surfaced with an intelligent query.
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Skyline Champion Corporation has a market cap of $4 trillion! Talk about overvalued!
Note: This data quality issue has been raised and will be fixed ASAP
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I'm actively working hard to identify and fix any problems with this feature. In the meantime, if you notice any odd behavior, please raise it to me immediately by emailing me at nexustrade@starks-technology.com.
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With the full integration of fundamental indicators into the platform, I've paved the way for new, unique, and powerful features coming soon to a NexusTrade platform near you! This includes the most anticipated features, such as:
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- Creating automated trading strategies using fundamental indicators 😱
- Creating algorithmic trading strategies using dividends 💸
- Combining intelligent search with automated investing to create dynamic trading strategies that change on market conditions 🤖
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My mission has always been to push the limits of what AI can do, and this new feature proves that we're just getting started in making pushing the boundaries of what's possible in finance.
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This entire feature, from ideation to implementation took less than 7 days to finish the minimum viable product (MVP). This is all thanks to NexusGenAI, which streamlines the development of complicated LLM features. When I talk about how NexusGenAI expedites the deployment of AI-Features this is exactly what I mean!
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NexusTrade has come a long way, from an idea about creating better automated trading strategies, to a sophisticated platform that can execute highly complex functionality using natural language.
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With this feature, we've proven that AI can objectively make trading easier and more accessible to everybody. And the reality is only this experiment barely scratches the surface! I'm working hard to improve the data quality, fix performance issues, and improve the output with complex prompt engineering techniques. Other platforms don't give you nearly the level of power that NexusTrade does, and I'm starting to prove it, one day at a time.
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