Trading insights, market analysis, and swing trading strategies.
A practical troubleshooter for diagnosing and fixing day trading habits that blow up accounts — spot blow-up warning signs, avoid oversizing without edge, set hard stop-loss rules, stop averaging down, break revenge-trading spirals, and prevent late-entry FOMO mistakes.
A practical troubleshooting guide to why William O’Neil-style breakouts fail in choppy markets—spot regime cues, reinterpret volume in ranges, validate real bases and pivots, adjust stops and sizing, and confirm index/sector tailwinds before you press entries.
A data-driven case study of Mark Minervini’s breakout rules tested across 1,000 setups (2015–2025) — how breakouts were defined and filtered, how results were benchmarked across regimes, and what the distribution and rule-by-rule impacts reveal about edge, risk, and execution.
A practical troubleshooter for why your breakout stock watchlist keeps spotting winners late—diagnose late-add patterns, isolate root-cause biases, run fast triage tests, and rebuild inputs/process with RS-first selection, early-entry triggers, and clear kill rules.
A time-boxed guide to building a daily sector rotation workflow in 15 minutes—set a repeatable universe and template, pull prices fast, compute two-horizon relative strength, rank sectors with consistent scoring, and confirm signals with a simple breadth filter before publishing a rotation map.
An advanced daily trading pillar that unifies breadth, relative strength, and rotation into one decision system—build a signal hierarchy, read participation and dispersion, diagnose RS structure and breakdowns, and apply confluence playbooks with execution and risk controls.