topmoversintrospection

Audit trading rules against top stock gainers and update the rule ledger.

Updated Feb 5, 2024
One-click install
npx skills add https://github.com/mailashishrawat/ml --skill topmoversintrospection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: topmoversintrospection
Source: https://github.com/mailashishrawat/ml/tree/main/code/anthropic/tradingagent/.claude/skills/topmoversintrospection
Command: npx skills add https://github.com/mailashishrawat/ml --skill topmoversintrospection

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, yfinance, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill audits the rule ledger against the top stock gainers, updating the ledger based on the performance of the rules.

Core Features & Use Cases

  • Audit Rule Ledger: Compares rules against top gainers to identify effective and ineffective rules.
  • Update Ledger: Applies votes to rules based on their performance against the gainers.
  • Use Case: When a user wants to analyze the performance of trading rules against recent stock gainers.

Quick Start

Run the topmoversintrospection skill with the optional scanner URL argument.

Frequently Asked Questions about topmoversintrospection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit trading rules against top stock gainers?

Auditing trading rules against top stock gainers involves comparing your configured rule ledger against recent market gainers, then applying performance-based votes to identify effective rules using Chartink API data.

How does rule voting work when updating a trading ledger?

Rule voting updates the trading ledger by evaluating each rule against top stock gainers, assigning votes based on performance outcomes to systematically track which rules successfully predict market movements.

Can I use yfinance and pandas to analyze rule performance for stocks?

Yes, rule performance analysis leverages pandas and yfinance dependencies to process ledger data and retrieve stock information, enabling systematic evaluation of trading rules against actual market gainers.

Do I need a scanner URL to run top movers introspection?

Running top movers introspection accepts an optional scanner URL argument to specify the data source, but primarily requires local rule ledger access and configuration to execute the performance audit.