day-trader-skill
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
No outside reports on file
AI day trading tools amplify risk—mistakes happen fast with real money, data can leak, and past performance is not a promise; only use with small, simulated accounts first and never automate real trades without extensive human oversight.
Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (Jakeschincariol/day-trader-skill)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/Jakeschincariol/day-trader-skill ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-24.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Day Trader Skill
This is a collection of 11 Claude skills designed to help with day trading. It claims to scan many stock charts, monitor news for sudden market moves, time when to buy and sell, and show how trades would have performed in the past before risking real money.
Who it’s for
This is aimed at day traders (people who buy and sell stocks within a single day). It's meant to give AI trading assistants more tools to work with.
Alternatives
- TradingView webhooks and alerts: Official alerts from popular charting software.
- Interactive Brokers API with custom scripts: Lower-level control for your own Python or Node.js bots.
- QuantConnect: Platform for backtesting and live trading algorithms with built-in risk controls.
- Alpaca Paper Trading: Practice trading with fake money before risking real funds.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the setup steps in the project’s official README: https://github.com/Jakeschincariol/day-trader-skill (opens external site)
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 3.2k
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Real money at stake: AI trading tools can make mistakes. Bad trades could lose significant money if connected to a live trading account.
- Data leakage: Chart data, news feeds, and trade history may pass through the AI or be stored, risking exposure of your trading strategy or financial activity.
- Misleading backtesting: Past performance shown in replays does not guarantee future results; market conditions change and AI may overfit to historical patterns.
- Injection attacks: Malicious stock tickers or fake news text embedded in web pages could trick the AI into wrong trading signals.
- Dependency trust: This relies on external libraries and data sources; compromise of any dependency could corrupt trading logic.
How to lower the risk
Least-privilege permissions
- Never give this tool direct access to trading accounts; use read-only API keys at first.
- Limit the maximum trade size and daily loss limits in any configuration.
Network isolation
- Run this in a sandbox or isolated environment, not on a machine with broad network access.
- Restrict outbound connections to only required market data sources.
Monitoring
- Log all trading signals and decisions; review them before any real trade executes.
- Set up alerts if the tool requests unusual data or makes unexpected API calls.
Red flags to watch for
- Sudden changes in performance or trading logic after updates.
- Requests to send data to external URLs or store credentials.
Questions
How do I install Day Trader Skill?
Day Trader Skill does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Jakeschincariol/day-trader-skill.
Are there security reports about Day Trader Skill?
No reports found for this package in our research (last checked 2026-10-30). Day Trader Skill currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include real money at stake, data leakage, misleading backtesting.
Is Day Trader Skill actively maintained?
Day Trader Skill has 3.2k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/Jakeschincariol/day-trader-skill before pinning it in production.
What are alternatives to Day Trader Skill?
Notable alternatives to Day Trader Skill include TradingView webhooks and alerts (Official alerts from popular charting software), Interactive Brokers API with custom scripts (Lower-level control for your own Python or Node.js bots), QuantConnect (Platform for backtesting and live trading algorithms with built-in risk controls), Alpaca Paper Trading (Practice trading with fake money before risking real funds). You can also compare Day Trader Skill side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use Day Trader Skill? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/jakeschincariol-day-trader-skill)HTML embed:
<a href="https://agentarmorhq.com/skills/jakeschincariol-day-trader-skill"><img src="https://agentarmorhq.com/api/badge/jakeschincariol-day-trader-skill" alt="AgentArmorHQ Risk Grade for Day Trader Skill" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "jakeschincariol-day-trader-skill"Share with your security lead
Need sign-off to use day-trader-skill? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: day-trader-skill
- **Listing URL:** https://agentarmorhq.com/skills/jakeschincariol-day-trader-skill
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 3.2k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (Jakeschincariol/day-trader-skill)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Jakeschincariol/day-trader-skill
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- Jakeschincariol
- Source code
- github.com/Jakeschincariol/day-trader-skill
- Est. context load
- ~68 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 3.2k GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-24
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