OST's Blog

Trading insights, market analysis, and swing trading strategies.

Traders Daily vs Weekly Review: 7 Use Cases

Traders Daily vs Weekly Review: 7 Use Cases

A practical collection to help traders choose daily vs weekly reviews for consistent improvement—compare where each rhythm wins, match it to seven real trading use cases, and apply templates, reset protocols, change logs, and KPI-focused drills without adding busywork.

Stocks Trading: Breakouts vs Pullbacks in Choppy Markets

Stocks Trading: Breakouts vs Pullbacks in Choppy Markets

A clear comparison of breakout vs pullback stock trades in choppy markets—define both setups, score signal reliability and stop logic, weigh win rate vs payoff math, and match each approach to the market conditions and trader profile where it performs best.

Build an RS-in-Stocks Watchlist in 10 Minutes

Build an RS-in-Stocks Watchlist in 10 Minutes

A fast-start guide to building an RS-in-stocks watchlist you can maintain weekly—define relative strength (RS), pick a tradable universe and benchmark, choose one RS metric with a clean lookback, use a charting/screener shortcut to pull candidates, and add guardrails for trend, extension, and earnings risk.

7 Day Trading Mistakes That Blow Up Accounts

7 Day Trading Mistakes That Blow Up Accounts

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.

Why Your William O'Neil Breakouts Fail in Chop

Why Your William O'Neil Breakouts Fail in Chop

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.

Mark Minervini rules tested on 1,000 breakouts (2015–2025)

Mark Minervini rules tested on 1,000 breakouts (2015–2025)

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.