👋 Hello, Future Algo Traders! Welcome to the era of “Vibe Coding.” You don’t need a PhD in Computer Science to build a Wall Street-grade trading bot anymore. You just need a vision and the ability to guide your AI effectively. But here is the hard truth: AI can get amnesia. If you just dump … Read more
We are living in the era of “Vibe Coding”—where you don’t need to be a professional engineer to build software; you just need to guide the AI. But when it comes to Financial Trading Systems, letting an AI write code can be terrifying. To solve these fears, I introduced Project Antigravity. It is a framework … Read more
Let’s face it: The gap between retail investors and institutional “Smart Money” isn’t just capital—it’s discipline. Hedge funds operate on strict quarterly cycles, scanning thousands of earnings reports to rebalance their portfolios every 3 months. Most individual investors? They chase daily noise. But with Google Gemini’s new “Gems” feature, you can now clone that institutional … Read more
Let’s be honest: Most retail trading bots fail. Why? Because they are built on “surface-level” logic found in basic blog posts: “Buy when RSI is under 30” or “Buy when price hits the lower Bollinger Band.” In the world of High-Frequency Trading (HFT), that is just liquidity for the sharks. I wanted to change that. … Read more
Hello, Vibe Algo Lab readers! 👋 Today, we’re going back to basics, but in a very advanced way. We are going to focus on the two most important words in AI development: Gemini and Prompts. In the world of AI, there are countless tools designed to help you write better prompts. You might have heard … Read more
Hello, everyone! 👋 In our previous posts, we discussed how to design powerful trading strategies like the “US Closing Price Betting System” using Google’s Gemini and NotebookLM. A common question I get is: “How do I feed the AI better data to make it smarter?” The answer is simple: Quality Input = Quality Output. To … Read more