US Stock Market - Stocks, ETFs & Options. The complete guide to our suite of tools and resources by StockGPT

This is the latest break down of all the tools for the US Stock Market.

StockGPT.chat - Here you’ll find our main Chatbot for all our services that can answer questions about any stock, ETFs & Options. We are now updating this daily. This service is FREE to try with a paid option available for unlimited use. We cap the free usage due to the cost associated with running the Chatbot which is powered by ChatGPT, a product by OpenAI. A small monthly fee is nothing compared to the value you’d get with all our tools but if you are still not convinced, keep reading, I promise you’ll see the value!

StockGPT.chat is powered by our “AI Engine” which analyzes large amounts of information and uses complex algorithms to generate the Ranking, Scoring, and Rating of every ticker symbol in the stock market. These scores are based on the probability of how a stock's future price action is likely to move based on historical learnings of past market behaviors. All this extensively analyzed data is made available FREE via several live daily updating spreadsheets that can be found at the following links:

At this point, we realized, that people would like a way to further break down these spreadsheets into an easy-to-consume, highly diversified portfolio-level breakdown, therefore we created DalioGPT.com. DalioGPT is a premium tool available only to our PAID subscribers due to its immense power to classify and rank stocks/ETFs for diversification and bring about a great balance to any portfolio leading to this tool being dubbed the “Holy Grail of All Holy Grails in Investing”. You can learn more about it here:

Once our users saw the immense power of all our tools we were asked to build something similar for Options. While Options could be a great way to generate big returns, it has its risks. Therefore if we built a tool for Options we wanted to do so only if we felt comfortable with the risks. We came to the conclusion that only by identifying diversified opportunities that were deep in the money the risk would generate an appropriate return. This led us to establish a “Deepness Score” and then we built a spreadsheet tool called OptionsGPTus.com. Based on our analysis, Options that have at least 30 days to expiration and a Deepness Score of between 25% -50% are priced appropriately to capture the leveraged effect of Options. OptionsGPTus.com is also a premium tool available only to our PAID subscribers due to us having to aggregate data from multiple sources and make sense of it specifically for Options. You can learn more about this here:

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Now it’s great that we built these tools but how do we prove that our “AI engine” works and can generate outstanding results? Well for that we built 2 additional platforms. One we are calling “Active Performance Tracking” and the second one we call “Historical Analysis”.

Active Performance Tracking is all about keeping us in sync with the data and making sure our systems stay accountable for the short term. Therefore, every few days we take snapshots of all our tools mentioned above and then we actively track it for 3 to 6 months with the very latest data for comparison. This allows our users to look back at how our Rankings and Ratings from a month ago, a week ago, or even a day ago are performing. This level of transparency helps build trust and credibility in our models, something NO other tool has the capability to provide. This is a FREE Tool that you can learn all about here:

Historical Analysis is all about showcasing the training our models have gone through to be as effective as they are. We looked at data for over 30 years and trained our current models that power our “Ai Engine”. To showcase this as part of Historical Analysis, we are cleaning up this data and making it available for people to review. We have 30 years of data to show so we keep adding more and more data as time goes by. Here you’ll find that we’ve analyzed uptrending, downtrending, and sideways markets to build predictive models from probabilities that we can rely on to power the algorithmic models for the future. All this data here shows that our models outperform consistently. You can dig into this research for FREE at the following link.

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