[INTRO: THE QUEEN OF TAPE READING AND SYSTEM INTEGRITY] Does a mechanical trading engine need to rely on the constant continuation of trends to remain profitable? Discretionary retail traders often assume that trading is a simple game of identifying bull runs and buying breakouts. Yet, any developer who has backtested classical breakout systems across multiple … Read more
[INTRO: THE NEW AGE SWING DOMINATORS] Does the classical CAN SLIM momentum engine still function in the high-frequency regime of the modern market? The answer is a resounding yes, provided it undergoes rigorous, data-driven optimization. Enter the modern dominators of the U.S. Investing Championship (USIC): Oliver Asmus and J Law (Law Wai-Sum). By blending the … Read more
[INTRO: THE EVOLUTION OF VOLUME-WEIGHTED ANALYSIS] In the landscape of modern technical analysis, standard moving averages suffer from a critical, structural flaw: they treat all periods equally, ignoring the concentration of transactional energy (volume). To solve this, swing trading pioneer Brian Shannon, founder of Alphatrends and author of the seminal works Technical Analysis Using Multiple … Read more
[INTRO: THE SPIRITUAL ANCESTOR OF MOMENTUM] Long before high-frequency algorithms, dark pools, and real-time screen feeds, a lone trader sat in front of physical stock tickers, reading paper tapes with pure mathematical focus. Jesse Livermore, famously known as the “Boy Plunger” of Wall Street, turned minor speculations into multimillion-dollar fortunes—peaking with a legendary $100 million … Read more
[INTRO: THE WALL STREET ISOLATOR] In the mid-1950s, while performing world tour shows in Saigon, Paris, and Tokyo, a world-class ballroom dancer achieved the unthinkable. Operating completely cut off from the frantic buzz of Wall Street—relying solely on daily cablegrams sent to his broker—Nicolas Darvas turned a $10,000 trading account into over $2,000,000 in less … Read more
1. EXECUTIVE SUMMARY (TL;DR) In the current era of Large Language Models (LLMs), a dangerous paradigm known as ‘Vibe Coding’ has surfaced. This refers to a development style where engineers rely on “good vibes” or intuitive trust in an AI’s probabilistic suggestions without rigorous logical verification. While LLMs are revolutionary, deploying their stochastic outputs in … Read more