Trading insights, market analysis, and swing trading strategies.
A practical troubleshooter for why high-priced stock trades blow up from bad sizing — spot failure symptoms, define true R, account for stop distance/liquidity/leverage, and apply sizing rules (plus options-specific sizing with delta and defined-risk structures).
An explainer on how day trading really works from open to close—one-day timeframes, how orders and exits shape results, what liquidity/volatility/volume actually mean, and how to build an edge model with risk rules first.
A collection of six investing lenses to “see” a stock more clearly—fundamentals, technicals, quant screens, narrative, macro, and sentiment—plus common blind spots, quick reality checks, and a simple framework for choosing the right lens for your goal.
An advanced pillar guide to building and maintaining a true stock “leader list” — engineer a tradable universe, upgrade relative strength with multi-horizon and volatility-aware ranking, filter for trend quality and flows, and run a disciplined scorecard with refresh cadence and regime awareness.
A practical troubleshooter for diagnosing why your “better stock” picks still trail by 20%—verify lag symptoms and benchmarks, uncover hidden return leakages, separate thesis quality from price action, detect factor-exposure drift, and fix portfolio-construction and process errors with clear checklists and tables.
A case study that stress-tests 12‑month breakout signals with market and stock filters—clear breakout definitions, win‑rate and payoff metrics, regime screens (trend/breadth/volatility/recession proxies), and practical combined recipes you can apply in a real workflow.