What is The Day Trader skill?
The Day Trader skill is a collection of eleven Claude skills for day trading. It reads public market data and filings from Yahoo Finance, Nasdaq Trader, SEC EDGAR and the House Clerk. Its workflow connects chart screening, news review, entry monitoring, exit planning, position sizing and risk checks through files stored in a shared project folder. Additional skills cover price alerts, earnings analysis and congressional trade disclosures.
It installs as skills or a plugin in Claude Code, with Python tools that use only the standard library. Individual skill instructions can also be pasted into a Claude chat, but that mode does not provide the Python tools. Brokerage execution requires a separate connector, with Alpaca's MCP server documented as an example. Paper trading is the default, and an order requires a successful risk check and explicit approval.
The Time Machine component combines simulated sessions with historical replays of matching setups. Its outputs are not predictions. Market data can lag or be rate-limited, and the scanner uses interval bars rather than tick data. Stop orders can fill beyond their planned prices, so calculated losses are not guaranteed limits.
Key capabilities
- Chart screening Scans stock charts for opening-range breakouts, flags and oversold bounces.
- News and filings Reviews stock headlines, SEC filings, earnings facts and congressional trade disclosures.
- Trade planning Monitors entry conditions and defines stops, targets and planned exit times.
- Scenario replay Simulates remaining-session outcomes and tests matching setups against historical sessions.
- Budget and risk checks Sizes positions and checks orders against configured cash, loss, timing and trading limits.
- Approved execution and alerts Prepares broker tickets for explicit approval and monitors configured price and exit conditions.
Where The Day Trader skill fits
The pack fits a Claude-assisted intraday workflow in which a trader researches setups, prepares a trade plan and reviews risk before submitting an order. Its shared project files let separate skills pass plans and proposed orders between stages. Paper trading provides the documented starting configuration for exercising this workflow without live orders.
Before deployment, users need to verify Python availability, configure identification for SEC requests and check important market data against their broker. Brokerage permissions should require approval, credentials should remain in environment variables, and account-specific trading restrictions need review. Simulation results and stop-based loss calculations should not be treated as execution guarantees.
Install
/plugin marketplace add Jakeschincariol/day-trader-skill
/plugin install day-trader-skill@day-trader-skillReviews of The Day Trader skill
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