Replit can be utilized to develop tools for analysis, automate data analysis, and generate reports, making it a potentially valuable resource for financial professionals, allowing users to analyze market data and visualize stock trends without needing extensive coding knowledge. Replit's AI Agent can turn natural language prompts into functional applications, which could be beneficial for finance professionals. With Replit, users could create tools to analyze stock data, generate charts, and provide insights. Specifically, a basic tool could be developed to input stock purchase information and output calculations of returns, comparisons, and visualizations. Replit could enable the calculation of investment returns and compare them to benchmarks like the SPY. It could also calculate the overall return, comparing it with the SPY, and generate visual graphs displaying the percent change of investments over time. The platform is designed so that it could handle multiple purchases of the same stock, ensuring accurate calculations. Example Applications and Considerations: So yes, one could build a stock market analyzer app using Replit AI Agent, even without being an expert coder. Additionally, Replit could be used to create websites displaying US stocks with relevant data, such as current trading day price, percentage gain or loss, and volume. (Replit is a private company, and its stock is not publicly traded on exchanges like the NYSE or Nasdaq.) While Replit itself is not publicly traded, accredited investors may find opportunities to invest in Replit stock through secondary markets or pre-IPO platforms like UpMarket and Hiive. These platforms allow buying and selling of shares, but it is important to note that such investments carry risks, including limited liquidity and potential capital loss. The stock price of Replit can be estimated by dividing the company's valuation by the number of shares outstanding, though this can change due to the issuance of new shares.
I've just tried to ask for an application, but it vomited everything in Python like every other LLM. If you want to see how it responds, ask it to change the programming language to c#. And you will see how it breaks miserably. Also, the code that it was trying to give me is the most basic algorithm you can find in any other example about MA crossovers.
Interesting... Everyone is touting the praises of AI, but generally speaking, I find it to be sorely lacking. The only two AI related services I use that it turned out were able to impress me were Suno, which enables be to make my song ideas a reality without having to pay for hours and hours of recording studio time, and getliner, which seems to correctly understand almost all the questions I ask, and provides essentially valid answers almost all the time. Every other service I've used provided me with disappointing results ranging from on a regular basis to virtually every time.
That is the problem with AI, and generally with Neural Networks. They can provide an almost ok answer to common questions, but when they are asked for anything specific they fail to impress. Programming languages are always bound to specifics. If we ask for a general routine that could come from mathematics, an LLM can help. But if we ask for a full application that tries to solve a complex project they fail to complete the task. Replit tries to launch a full application when you ask it for help. That is a very ambitious task. It could work for small projects, but if we apply it to something complex like a trading algorithm it fails to complete the job. It makes sense. A trading algorithm has several moving parts that are very specific to many input variables.