Contact person: Business Client

Phone:Show

Email:Show

Location: Pecos, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I am exploring the development of an AI-powered browser extension aimed at monitoring stock market data, specifically focusing on the CME (Chicago Mercantile Exchange). The extension will analyze futures contracts data and commodities prices in real time and generate buy and sell trading signals accordingly.

This project would involve designing and implementing the AI system to interpret and act on the data efficiently within a browser environment. The core functionality will include real-time data monitoring, signal generation based on predefined criteria, and ensuring seamless integration as a browser extension. If you have experience in developing browser extensions, working with stock market data, and implementing trading algorithms, I would love to collaborate with you on this initiative.

Further Insights to the project: Based on some of your kind interest in this project a further clarification on some issues is apparently needed.
The Concept Goal: The idea for using the extension format is due to the fact that most indicators and buy sell signals and alerts that are built into most trading platforms are basically not much use. Still you need to be able to have the platform open in order to trade. There are actually two options here. 1) a browser extension in a pop up window that will give you trade signals you can initiate in the platform, and/or 2) a mobile app that would do the same thing.

Generating Signals: The best trade signals are actually based on pattern recognition and not on fixed absolute calculations associated with most indicator systems. It should be obvious that market movements are not absolute they are random and relative. The problem is that although the patterns are universal they are not absolute either, they are random in what you might call intensity and duration. This is why an AI approach would I believe be the best solution if it is possible. The actual calculations required to identify the patterns are quite simple. The difficulty is in the retaining information over varying lengths of time and intensity.

Monitoring: Although a direct feed with CME or other markets would be one way to go it would probably required the establishment of a server based platform that would be the base for applying the AI analytics. This is possible but another avenue might be using an existing platform like Compose or QChartist to develop the signals and then create a way to monitor those signals in a mobile app or extension.

Commercial Viability: If this idea works the possibility of creating a mobile app and or extension for sale to the general public is on the table. In this case the server based approach would probably be necessary where by individuals create accounts that they monitor with extensions or apps.

Primary Use: Although this idea could be used for all types of trading the primary objective is for day trading high leveraged equities. Specifically the XAU/USD gold futures and the SPY options. The potential returns on these markets are far higher than anything else but because of the leverage involved having accurate signals is imperative." (client-provided description)