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, 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
Hello everyone! 👋 Today, I want to share a little story about my experience with Gemini’s “New Gems” feature, which completely surprised me. I just learned how to use it today, and honestly? It made me feel like my Google AI Premium subscription fee is not a waste at all. (Just to be clear—I am … Read more
To be honest, I prefer “commanding” over “doing” things myself. That is exactly why I love Vibe Coding. If you ask, they do it. That’s all there is to it. However, just like managing people, you need to ask well (write good prompts) for your AI partners to help you with all their heart. AI … Read more