Trader Alerts
Price Alerts. Rings when a price, a stop or the opening bell hits. Turns the trade plan into three alerts in one go (the stop, the target and "flat by close" at your flat-by…
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Budget Manager. Sizes every position to your budget and your max loss per trade. Reads the trade plan from trader-exit (entry, stop, target), finds the whole shares that fit inside four limits (max loss per trade, position cap, max order, cash after your buffer), says which limit decided it, and writes ONE bracket order (entry, stop-loss, take-profit) to trader/orders.json in the exact shape of Alpaca's place_stock_order. A stop too far away for your max loss is a plain refusal, not a smaller order. Nothing is placed. Use when the user says "how many shares", "size this trade", "how much should I buy", "I have $5,000", "I only want to risk $50 a trade", "set my rules", "keep 10% in cash", or after /trader-exit writes a plan.
Install
Research and paper-trading tools, not financial advice. Orders go to your broker only after you approve them, and paper trading is the default. Open the repository
Run this in your project folder. It works with Claude Code, Cursor, Codex and dozens of other agents.
$ npx skills add Jakeschincariol/day-trader-skill --skill trader-budgetNeeds Node.js. Add -g to install for every project, or -a claude-code to skip the agent picker.
How to use Trader Budget
Once it's installed, Claude reads this skill on its own whenever a request matches what it's for, so you don't have to mention it by name. In Claude Code you can also run it directly by typing /trader-budget.
It includes scripts that Claude may run on your computer, so skim them on GitHub before you install.
What the instructions cover
- 1What it reads and writes
- 2Step 1: set the rules once
- 3Step 2: size the trade
- 4Step 3: show the user
- 5Example: the reel
- 6Weights mode (kept from v1)
- 7Rules
- 8What it never does
- 9Safety
Section headings from the skill's SKILL.md file.
What's inside · 4 files
- SKILL.md
- config.example.json
- size.py
- targets.example.json
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