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 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
Have you tried the new “Gems” feature in Google Gemini yet? If you are a developer or a trader, this is an absolute game-changer. For a long time, I’ve wanted to build a Python-based automated trading system based on Mark Minervini’s VCP (Volatility Contraction Pattern) strategy. But translating visual chart patterns into rigorous mathematical code … Read more
This algorithm is purpose-built for the heartbeat of global capital: The US Stock Market. The US market is a unique beast. There are no daily price limits, and it is dominated by High-Frequency Trading (HFT) and institutional algorithms. To survive and thrive here, a system must apply strict standards regarding Relative Strength (RS), Smart Money … Read more