Score-led setups, trade planning, and risk tracking — in your browser or your agent's workflow. SwingLab works where you work.
The dashboard for hands-on research. The CLI for agent workflows and automation.
Discovery, planning, and disciplined review in one workspace.
Start with ranked ideas, not a raw table. The default view highlights the best current setups before you sort or filter anything.
Every score is versioned, documented, and visible. Inspect the methodology instead of trusting a black-box number.
Save a plan with context, strategy tag, targets, and sizing. Manage the same trade through entry, adjustment, and exit.
A scoped review of movers, signals, setup changes, open trades, and unread notifications since your last visit.
Price, setup, and watchlist RS alerts. Portfolio risk shows sector exposure, earnings clustering, and open position sizing.
Charts, indicators, plan context, and shareable URLs that preserve the view state. Every detail page is a link you can send.
Pipe setup research into Claude, GPT, or any agent workflow. One pip install away.
Pre-market research in one command. swinglab scan --top 10 returns the highest-scored setups with context your agent can reason over.
Your saved watchlists, in your agent's context. swinglab watchlist show Momentum returns tickers, scores, and RS data.
Full setup snapshot for any ticker. swinglab context AAPL returns score breakdown, setup status, and invalidation rules.
Your agent researches. You decide.
Your agent runs swinglab scan and surfaces the top setups into your morning context.
Open the chart, check the score breakdown, read the setup context. Decide if it qualifies.
DashboardEntry, stop, targets, sizing, strategy tag. The planner captures the full decision with context.
DashboardAlerts fire on price, setup changes, or RS shifts. Your agent can query status any time.
CLI