Prospero.ai is a free stock analysis app for retail investors, running more than 10,000 AI and machine learning models across millions of data points to generate signal-driven stock picks, trend recognition and institutional sentiment analysis, delivered through a mobile app and paid Substack newsletters. It is free to download on iOS and Android; the founder is George Kailas, who states 13-plus years building predictive systems for institutions.
A named, credentialed founder and a genuine multi-year track record of published newsletter picks – nearly 5,000 since 2023 – are real substance that the nine investment-scam funnels rejected elsewhere in this catalogue never had. Free access to the core stock-picking app removes the upfront cost of evaluating whether the signals are useful to you.
Read the marketing order carefully, because it is the finding: the headline claims – ‘60% win rate vs S&P500’, ‘beating S&P by 81% annualized’, ‘27% better returns’ – come first, with the disclosure that these are **simulated results, not actual trading outcomes**, arriving after. Compare that with Alphanso, reviewed elsewhere in this catalogue, which states its hypothetical status and the model’s start date before the performance figure. A backtested win rate tells you how a strategy would have performed on data it may have been tuned against, which is a materially weaker claim than real audited returns, and it is worth reading the full methodology behind any specific number before treating it as a reason to trust a signal with real money.
