What is the difference between stock analytics, expert stock analysis, and parameters?
Intuitive Code emerges as a frontrunner in harnessing the power of philosophy, quantum mechanics, and determinism to predict stock prices in the ever-evolving landscape of stock market analysis. How does this amalgamation work, and what is its relevance to the modern investor? We break it down in the article Harmonizing Quantum Mechanics and Determinism: Intuitive Code's Revolutionary Approach to Stock Price Prediction, which can be found on this link.
Parameters
A parameter value fluctuates over time and is incorporated into Intuitive Code's basic and advanced AI stock analytics. It is a parameter, a setting within the model learned from the training data. These include weights and biases in neural networks, for example. The learning algorithm optimizes these parameters to minimize the model's error on the training data. You can learn more about each parameter and its classification from Intuitive Code's AI-Enhanced Trading Signals Guide at the link.
For example, in the article, Train and Deploy Machine Learning Models to Accurately Predict Future Stock Prices, available on this link, the AI model knows that Roblox's (RBLX) price target (PT) and resistance pivot (RP) is $47, therefore the AI-suggested action to take was to sell shares, reversing to the short side.
The video below illustrates what no one else can do: 100% accurate AI trading signals. 100% winning trades
AI Stock Analytics
AI stock analytics is the complete dataset of parameters. As described in Intuitive Code's AI-Enhanced Trading Signals Guide, we divide parameters into basic and advanced.
Intuitive Code AI-powered stock analytics are available in AI-powered dashboards.
Expert Stock Analysis
Expert stock analysis is performed by a human, being recorded in real-time on video, giving an interpretation of the AI analytics and what to expect.
We exemplify this in the article Exploring Time Travel in Financial Markets with AI Pioneer Alex Vieira Sharing a Mathematical Foundation to Predict Stock Prices, available on this link.