Trading insights, market analysis, and swing trading strategies.
A practical collection of six day-trading styles and when to use each—match time window and temperament to market context, spot key setup cues, apply entry/management frameworks, and avoid the most common risk traps and failure modes.
A clear comparison of end-of-day vs real-time stock market data for swing traders—when each data type wins, how it affects setup quality and execution, what it does to backtests, and how to weigh cost against signal value.
A step-by-step guide to building a post-close sector analysis stocks watchlist—define a repeatable workflow, clean and standardize data, score sector strength with relative returns and breadth, and turn top sectors into chart-backed candidates with clear risk points and rules.
A hands-on guide to building a trading-day tracker in Google Sheets—from planning your calendar and data sources to generating a holiday-aware trading schedule, importing daily prices, tracking trades/holdings, and calculating reliable daily P&L and returns.
An explainer on how market rotation manufactures the next generation of industry-leading stocks—follow the formation sequence from narrative-driven flows to accumulation and breakout, understand why leaders cluster via shared factors and ETF/analyst feedback, and use internals like relative strength, breadth, and volume to spot sponsorship early.
A hands-on guide to building a post-close stocks comparison dashboard—define your EOD workflow, choose a reliable tool stack, model adjusted price data correctly, automate idempotent ingestion and backfills, and compute indicators efficiently for consistent daily comparisons.