Trading Strategies
CheckedThis skill generates diverse automated trading strategies based on market data, helping users explore potential investment approaches.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add agentmc15/polymarket-trader --skill trading-strategies -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
agentmc15
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned agentmc15/polymarket-trader at 05705433fc.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 05705433fc
- Scanned
- 1 file, 375 lines
About this skill
What it does
The trading-strategies skill provides AI agents with a range of predefined and customizable strategies for executing trades in financial markets. It supports technical analysis, risk management techniques, and automated decision-making based on market data.
When to use it
- To automate trade execution based on real-time market signals
- When developing an AI agent that needs to make informed trading decisions without manual input
- For backtesting historical market data with different strategies
Key capabilities
- Technical analysis tools for identifying trends and patterns
- Risk management features such as stop-loss and take-profit settings
- Support for multiple trading platforms and APIs
Example prompts
- "Generate a moving average crossover strategy for the S&P 500."
- "Backtest a day-trading algorithm using historical Bitcoin data."
- "Create a risk-averse portfolio allocation strategy based on volatility."
Tips & gotchas
- Ensure you have access to real-time market data and API keys for live trading.
- Strategies may need fine-tuning based on specific market conditions or asset classes.