OST's Blog

Trading insights, market analysis, and swing trading strategies.

What “Market Daily” Means for Breakout Traders

What “Market Daily” Means for Breakout Traders

An explainer for breakout traders on what “Market Daily” really means and how to use it—clarify the definition vs. common misconceptions, understand daily timeframe mechanics and gaps, spot breakout-friendly regimes and internal signals, and place triggers/stops/targets with cleaner logic.

Set Up a Day Trading Workspace in 30 Minutes

Set Up a Day Trading Workspace in 30 Minutes

A fast-start guide to setting up a day trading workspace in 30 minutes — pick a lean tool stack, dial in hardware and network basics, compare brokers, build a reusable chart template, configure scanners/alerts, and streamline news + calendar workflows.

What “Better Stock” Means for Breakout Swing Traders

What “Better Stock” Means for Breakout Swing Traders

An explainer on what “better stock” means for breakout swing trading—why liquidity, structured volatility, crowded reference levels, and clean price action matter more than being a “good company.”

Why your market breadth dashboard gives false risk signals

Why your market breadth dashboard gives false risk signals

A practical troubleshooter for market breadth dashboards that throw off false risk signals—validate your universe and timestamps, fix A/D line and volume-breadth math, de-mirage 52‑week highs, and rebuild moving averages and thresholds so indicators match reality.

Why your relative strength stock screener misses winners

Why your relative strength stock screener misses winners

A practical troubleshooter for fixing relative strength stock screeners that miss the biggest winners — diagnose failure symptoms, audit benchmark/universe fit, correct return math and corporate actions, tune lookback windows, and upgrade ranking methods for cleaner signals.

Build sector theme strength ranks in 15 minutes

Build sector theme strength ranks in 15 minutes

A fast, repeatable guide to building sector theme strength ranks in 15 minutes—define a universe and strength lens, pull and validate price data, compute normalized relative returns, apply a trend filter, and combine windows into a composite score you can rank.