Trading insights, market analysis, and swing trading strategies.
A step-by-step guide to building a market breadth dashboard in under 30 minutes—pick a lightweight tooling stack, ingest and schedule breadth data, model core indicators in SQL, design Grafana panels, and wire up alerting/sharing without overengineering.
A case study of a relative strength stock screener run across ~5,000 equities—clarifying what RS scores really imply, how design choices (lookbacks, volatility, sector neutrality) shape signals, and how benchmarks, backtest snapshots, and real-world costs/capacity inform a go/no-go decision.
A practical checklist for building a breakout stock watchlist across 5,000 names—define clean breakout rules, pick the right universe, run liquidity/trend/catalyst scans, and score/rank candidates into a repeatable alerts-and-dashboard workflow.
A data-driven case study of sector rotation results across 5,000 stocks in 2025—universe and rule design, benchmark-relative performance, alpha attribution by sector/regime/stock drivers, and real-world constraints like turnover, costs, liquidity, and robustness testing.
A step-by-step guide to building a swing trading scanner that reliably covers ~5,000 stocks—choose a tooling stack, assemble a clean data universe, design a batch compute engine, implement liquidity/trend/risk filters, and rank outputs into watchlists with alerting, backtests, and deployment checks.
A comparison guide to using breakout stock watchlists vs alerts as a discretionary trader—clarify the core tradeoff, map signals to the right workflow, avoid common failure modes, and choose setups/tools that fit your time, regime, and risk control.