This project is scheduled for launch
Launch date: Sunday, February 14, 2027 at 08:00 AM UTC
StockGeniuses is an AI-assisted stock research and decision workspace for self-directed retail investors who want a clearer, more disciplined way to research companies and make investment decisions.
Stock research is often scattered across screeners, financial websites, spreadsheets, watchlists, portfolio trackers, notes, news sources, and disconnected AI tools. Each tool may provide a useful piece of information, but the investor is still left to assemble the full picture somewhere else.
StockGeniuses brings that process into one connected workspace.
Users can discover stock ideas, analyze companies through established investing frameworks, compare different analytical perspectives, organize watchlists and portfolios, monitor meaningful changes, and document the reasoning behind their decisions.
StockGeniuses includes more than 20 investor-inspired analysis models across areas such as:
Value
Growth
Dividend investing
Financial health and risk
Momentum
Sentiment
The platform draws inspiration from established approaches associated with investors and researchers such as Benjamin Graham, Warren Buffett, Peter Lynch, William O’Neil, James O’Shaughnessy, Joel Greenblatt, Joseph Piotroski, and Edward Altman.
Each model presents structured metrics, classifications, supporting evidence, and clear explanations. Investors can examine a company through several lenses rather than relying on one rating, opinion, or black-box score.
AI is used to help investors understand what the data and analysis models are showing.
It can explain model outputs, summarize relevant context, highlight strengths and risks, and make complex financial information easier to interpret.
StockGeniuses does not tell users what to buy or sell. It does not issue trade commands, promise returns, or replace individual judgment.
The principle is simple:
AI explains. You decide.
StockGeniuses is built around a repeatable investing loop:
Discover → Analyze → Decide → Track → Reflect → Improve
Its main features include:
AI-assisted stock discovery
Structured company analysis
Investor-inspired analytical frameworks
Watchlists for organizing opportunities
Portfolios for monitoring holdings and exposure
Signals that highlight meaningful changes
Unified ticker context across the platform
Decision logs and research notes
Investment-thesis tracking
Risk and invalidation-condition documentation
Post-decision review and reflection
Every stock remains connected to its analysis history, watchlist or portfolio context, signals, notes, and decision timeline. This makes it easier to remember what you believed, why you believed it, and what changed afterward.
StockGeniuses is designed primarily for serious retail investors who value structure, clarity, and process over hype and predictions.
It can also support ambitious beginners through guided workflows, clear explanations, and progressive disclosure. Users can start with the core information and explore deeper analysis as their knowledge grows.
The platform is not designed for people looking for rapid trading alerts, guaranteed stock picks, or automated buy and sell instructions.
Retail investors have access to more information than ever, but more information does not automatically lead to better judgment.
The difficult part is deciding what matters, comparing the evidence fairly, documenting assumptions, and reviewing decisions honestly after the market moves.
StockGeniuses was created to keep the reasoning attached to the investment decision.
Instead of becoming another isolated stock tool, it is intended to serve as a calm, professional workspace where investors can research companies, organize evidence, preserve their thinking, and improve their process over time.
StockGeniuses will offer both free and paid access when publicly available.
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