OST's Blog

Trading insights, market analysis, and swing trading strategies.

Quallamaggie vs CAN SLIM for breakouts

Quallamaggie vs CAN SLIM for breakouts

A side-by-side comparison of Quallamaggie and CAN SLIM for breakout trading—how each method picks stocks, defines valid setups, times entries, controls risk, and manages adds/exits across different market regimes.

Episodic pivot vs earnings gap: which leads

Episodic pivot vs earnings gap: which leads

A practical comparison of episodic pivots versus earnings gaps to see which indicator leads — clarify what each measures, how timing and reliability differ, where false signals come from, and how to apply trade rules by horizon and market regime.

William O'Neil vs Momentum Trading for Small Accounts

William O'Neil vs Momentum Trading for Small Accounts

A clear comparison of William O’Neil’s CAN SLIM approach vs classic momentum trading for small accounts—fit-by-personality, entry/exit and risk rules, market-regime edge, and the real-world frictions of costs, time, and account constraints.

Why your episodic pivot entries fail after earnings gaps

Why your episodic pivot entries fail after earnings gaps

A practical troubleshooter for why episodic pivot entries break after earnings gaps—identify failure symptoms, isolate root causes, run a fast diagnosis flow, and rebuild levels/entry logic with risk sizing and prevention protocols.

Mark Minervini explained for discretionary swing traders

Mark Minervini explained for discretionary swing traders

A clear explainer of Mark Minervini’s swing-trading approach—use the market-first lens, the VCP (Volatility Contraction Pattern), relative strength selection, asymmetric entries with tight risk, and sell rules that cut losses fast while letting leaders run.

Quallamaggie trades: 25-breakout sample win-rate breakdown

Quallamaggie trades: 25-breakout sample win-rate breakdown

A focused case study of Quallamaggie-style breakout trades that tests a 25-trade sample—setup rules, win-rate by regime/strength, R-multiple expectancy, and drawdown/risk realities so you can decide if the edge is viable and repeatable.