💡 What You Will Learn (Intro & Hook) **(Empathize with the Reader’s Problem)** “As algorithmic traders increasingly rely on LLMs and transparent ledgers, many face the harsh reality of predatory on-chain analysis. You spend weeks developing a profitable strategy, only…

**Source**: [Claude Trading Skills Official Site](https://tradermonty.github.io/claude-trading-skills/en/) **Tags**: #StockPicking #Screener #ClaudeAI #DividendInvesting #RiskManagement #QuantTrading Welcome to the final chapter! By now, you’ve installed the project (Part 1) and learned how to read the market (Part 2). Now for the most exciting…

**Source**: [Claude Trading Skills Official Site](https://tradermonty.github.io/claude-trading-skills/en/) **Tags**: #MarketAnalysis #ClaudeAI #StockResearch #MacroEconomics #AITrading #FinTech Welcome back! Now that you’ve got Claude set up, it’s time to see what this AI can really do. In Part 2, we’re focusing on the first…

1. Executive Summary (TL;DR) This guide defines the transition from manual prompt engineering to Agentic System Architecture. We utilize three core layers — .agent (Rules), context (Memory), and skills (Logic) — to build self-evolving AI systems. By the end of…

Executive Summary: When Governance Dictates Capital Flow In traditional corporate environments, shareholder voting rights are often limited to long-term, abstract governance events like executive transitions or M&A. To a retail investor, a single vote is essentially a ‘dead right’ that…

Executive Summary: The Essence of 2026 On-Chain Intelligence The cryptocurrency markets of the past were often shrouded in opacity, with information asymmetries favoring internal exchange insiders or early-stage developers. However, the DeFi ecosystem of 2026 presents a radically different landscape.…

Breaking the Sandbox: The Era of Environmental Mastery For the first few years of the AI revolution, we treated Large Language Models as specialized “brains” that we consulted through a chat window. We would provide context, the AI would think,…

The Implementation Trap If you’ve followed the first three posts of the SDD Protocol, you have a solid Constitution, a Grounded Blueprint, and a set of Audited Atomic Tasks (T-xxx). You are now ready to produce code. But here is…

The Invisible Limit: Model Fatigue In the era of 2026, LLMs have multi-million token context windows. On paper, it seems we could feed an entire codebase and a 100-page PRD into a single prompt and get a perfect result. In…

The Crisis of the “Vibe” In early 2024, the tech world was captivated by the promise of “Vibe Coding.” The premise was deceptively simple: open a conversational interface, describe a feature in natural language, and watch as an AI agent…

The Fallacy of the Single Prompt In the early days of AI coding, the “Single Prompt” was the holy grail. We dreamed of a world where we could describe an entire application, hit enter, and receive a ZIP file of…

Capital is water—it always seeks the path of least resistance and highest yield. In the fragmented 2026 landscape of L1s, L2s, and L3s, price discrepancies are the inevitable result of network latency and liquidity isolation. This masterclass teaches you how…

In the transparent ledger of the blockchain, your intent is a commodity. Before your transaction even leaves the mempool, algorithmic predators have already seen it, priced it, and extracted value from it. This is the ‘Dark Forest’ of MEV (Maximal…

As traditional yield curves flatten and central bank digital currencies (CBDCs) introduce new layers of programmable constraint, the decentralized frontier remains the only venue for pure, unadulterated capital efficiency. In 2026, being a “liquidity provider” is no longer about passive…

In the US financial ecosystem, the third Friday of every month is not a normal day; it is a “Vibe Re-Calibration.” This is the moment when billions of dollars in options contracts expire, forcing market makers to re-hedge their positions…