Find better stock market opportunities with AI-assisted research.
StockWizard AI helps traders and investors explore the universe of U.S. publicly traded companies using AI tools designed to surface promising candidates, organize research, and sharpen trading ideas.
AI tools for stock discovery, screening, and research.
StockWizard AI is built around a practical question: from thousands of U.S. stocks, which ones deserve your attention today?
AI stock screening
Use AI-assisted workflows to narrow the market to companies that match your technical, fundamental, momentum, or thematic criteria.
Prompt-based research
Learn how to ask AI better questions, compare companies, summarize catalysts, and convert scattered information into structured trading notes.
Trading opportunity workflow
Build watchlists, evaluate setups, and combine AI output with your own chart reading, risk management, and market judgment.
Beyond simple prompts: APIs, private models, and AI trading infrastructure.
The seminar introduces AI as a practical research architecture, not just a chat window. The goal is to show how modern traders can combine market data, custom rules, APIs, and language models into a disciplined stock-selection process.
Using OpenAI APIs
Learn how AI can be connected to screening databases, watchlists, news feeds, SEC filings, chart statistics, and your own trading notes through APIs. Instead of manually asking isolated questions, an API-driven workflow can run repeatable prompts, classify companies, summarize catalysts, and generate structured research reports.
Protecting proprietary algorithms
Many serious traders have private ranking formulas, indicators, and rules they do not want exposed. The training explains the difference between sending ordinary research questions to a hosted AI API and keeping sensitive scoring logic inside your own software, server, or in-house LLM environment.
Hybrid AI architecture
A practical system may use different layers: traditional code for price calculations, databases for historical market data, AI for interpretation and summarization, and human review for final decisions. This hybrid approach helps avoid treating AI as a magic predictor.
From idea generation to risk control
AI can help find unusual setups, explain sector themes, compare stocks, and organize hypotheses. But the trader still needs entry rules, exit rules, position sizing, risk limits, and skepticism. The seminar emphasizes process over predictions.
Savas Savvides
Savas Savvides has more than 30 years of experience developing stock market prediction, technical analysis, and trading-related software. He has worked for major Wall Street firms, started building for the web in 1995, and developed StockWiz, a stock market analysis software platform.
His current work focuses on applying modern AI, LLMs, APIs, and private research workflows to the problem of identifying promising stocks from the full universe of U.S. publicly traded companies. He is also writing a book titled Technical Analysis in the Era of AI.
Learn how to use AI to identify better trading opportunities.
A focused, practical session for traders and investors who want to use AI as a research assistant, screening partner, and idea-generation tool.
- How to scan the U.S. stock market with AI-assisted prompts
- How to create a repeatable stock-discovery workflow
- How to evaluate AI-generated ideas critically
- How to avoid common AI mistakes, hallucinations, and overconfidence
- How to combine AI research with your own trading rules
- How to think about OpenAI APIs, in-house LLMs, and private algorithm protection
- How to separate public research tasks from proprietary scoring logic
Reserve your session
Complete the booking form and payment through Jotform. After submission, you will receive follow-up instructions for scheduling your one-hour AI training seminar.
For consulting or support: support@webium.com