The AI Investor – AI Financial Edge

  Abstract For decades, retail and institutional traders alike have relied on technical indicators like MACD, RSI, and Moving Averages to time the markets. However, these tools, developed in the pre-AI era, often fail when used in isolation, especially in modern volatile markets driven by complex dynamics. This article explores the limitations of traditional technical indicators, the psychological traps they often create, and how artificial intelligence—through techniques such as fuzzy logic, LSTM networks, genetic algorithms, and sentiment layering—offers a superior, multidimensional approach to stock selection and market forecasting. It also presents real-world case studies and highlights how platforms like KGNAI.com are applying this new logic at scale. Table of Contents Introduction The Origins and Appeal of Traditional Technical Indicators The Limitations of MACD, RSI, and Moving Averages The Psychology of Technical Traps Case Study 1: RSI Overbought, Yet Pr...

 The Importance of the Underlying Asset in Futures and Options Trading: A Technical Exploration Abstract In derivatives markets—particularly futures and options—the term "underlying asset" is more than just a reference point. It forms the core of all valuation, volatility modeling, strategic positioning, and market prediction. Yet, in today's fast-paced retail-dominated trading environment, the role of the underlying is often poorly understood, underutilized, or ignored entirely. This article provides a deep technical and practical exploration of why the behavior of the underlying asset is the most important input in any derivatives strategy. We expand our discussion across asset classes and geographies—equities, forex, and crypto—using case studies from the U.S., India, China, and Europe, all supported by real market data and AI-based analytics from KGNAI. Table of Contents Introduction Understanding the Role of the Underlying Asset Theoretical Models Groun...

  Introduction At KGNAI, we believe that data beats opinions , and the best way to prove the value of any ranking system is through transparent, trackable results. That’s why we’ve introduced our “Proof of the Week” feature — a public record of how our top-ranked assets actually performed after being scored by our AI systems. This week’s proof (based on June 26, 2025 rankings) is particularly striking: Six assets across global markets returned a combined +57.1% — all within a matter of days. These results were not backtested or retroactively selected. They were published live, ranked objectively, and measured afterward for actual market performance. The Results Table: Performance After AI Ranking Below is the full breakdown of the six selected assets, along with their region, ranking date, peak performance, and days taken to reach that peak: Region Asset Ranking Date Last Price Peak Price Peak Date ...