trader-hand-skill

Name: trader-hand-skill
Availability: InStock
Author: LibreFang

Generate multi-factor trading analyses with bull/bear debates and risk-aware trade plans.

10|7|Updated Mar 14, 2026

Search Tags:#portfolio #risk-management #trading #adversarial #market-analysis #alpaca #multi-signal

Ready to run

npx skills add https://github.com/librefang/librefang-registry --skill trader-hand-skill-librefang

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trader-hand-skill
Source: https://github.com/librefang/librefang-registry/tree/main/hands/trader
Command: npx skills add https://github.com/librefang/librefang-registry --skill trader-hand-skill-librefang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Trading Hand skill provides expert market intelligence and risk-aware trading knowledge to guide autonomous decision-making and improve trading outcomes.

Core Features & Use Cases

Multi-factor signal analysis, adversarial bull/bear debate, and calibrated confidence scoring to support automated trading and reporting.
Risk management governance, portfolio analytics, and Alpaca API integration for both paper and live trading.
Use Case: When evaluating a new asset, generate a structured, decision-ready trading thesis with bull/bear arguments and a risk-aware trade plan.

Quick Start

Ask Trading Hand to generate a complete, multi-factor trading analysis for a specified asset, including bull/bear debates and risk-aware trade recommendations.

Frequently Asked Questions about trader-hand-skill

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

FAQPage Schema

How do I generate a trading analysis with bull and bear arguments for a specific asset?▼

To generate a trading analysis, request a multi-factor evaluation for your target asset. The system produces a decision-ready thesis featuring adversarial bull/bear debates, calibrated confidence scoring, and a risk-aware trade plan.

Can I use Alpaca API integration for both paper and live trading workflows?▼

Yes, Alpaca API integration supports both paper and live trading workflows. It enables autonomous decision-making by executing risk-governed trades across US equities and crypto based on generated market intelligence signals.

What is adversarial bull/bear debate in market intelligence and how does it work?▼

Adversarial bull/bear debate is a market intelligence mechanism that pits opposing bullish and bearish arguments against each other. This multi-factor signal analysis produces calibrated confidence scoring to support automated trading and reporting.

Does this multi-signal market analysis support portfolio-level risk management?▼

Yes, multi-signal market analysis supports portfolio-level risk management. It provides risk governance controls and portfolio analytics to ensure autonomous trading decisions remain risk-aware and aligned with your overall strategy.

What's the best way to structure a risk-aware trade plan for US equities and crypto?▼

The best way to structure a risk-aware trade plan is to use multi-factor signal analysis combined with portfolio analytics. This generates a decision-ready trading thesis with defined risk controls for US equities and crypto assets.

Why does my automated trading strategy need calibrated confidence scoring?▼

Automated trading needs calibrated confidence scoring to quantify signal reliability before execution. It transforms adversarial market analysis into measurable risk governance, ensuring autonomous decisions match your risk management parameters.