bear-research

Identify and articulate a data-driven bear case for a given asset.

Updated May 22, 2026
One-click install
npx skills add https://github.com/casmidi/drakar-bot --skill bear-research-casmidi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bear-research
Source: https://github.com/casmidi/drakar-bot/tree/main/packages/tentacles/Trading/Mode/ai_trading_mode/resources/skills/bear_researcher
Command: npx skills add https://github.com/casmidi/drakar-bot --skill bear-research-casmidi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bearish argument development for trading positions typically requires assembling disparate data sources and structuring a compelling, evidence-based case for selling or reducing exposure. This section guides analysts to build that case while clearly acknowledging weaknesses and alternative viewpoints.

Core Features & Use Cases

  • Bearish Indicators Analysis: Identify and articulate technical patterns like descending triangles, lower highs/lows, and key resistance levels that signal downside risk.
  • Fundamental Bearish Factors: Evaluate network activity, adoption dynamics, and catalysts that could undermine a position.
  • Market Sentiment Bearish Signs: Monitor investor sentiment metrics and social signals that indicate distribution or waning upside momentum.
  • Bear Case Structure & Counterarguments: Construct a structured thesis with core thesis, risks, price targets, timeline, catalysts, and prepare rebuttals to bullish counterarguments.
  • Decision Support Outputs: Produce a clear, decision-ready bear case ready for risk management reviews.

Quick Start

Construct a concise, data-supported bear thesis for the selected asset.

Frequently Asked Questions about bear-research

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

FAQPage Schema
How do I build a data-driven bearish thesis for trading risk management?

To build a bearish thesis for trading risk management, assemble disparate data sources including technical patterns, fundamental factors, and sentiment signals, then structure them into a core thesis with price targets, catalysts, and counterarguments.

What technical indicators should I include in a bear case analysis?

A bear case analysis should include technical patterns such as descending triangles, lower highs and lows, and key resistance levels that clearly signal downside risk for the selected asset.

How do I structure a bearish investment thesis with counterarguments?

Structure a bearish investment thesis by detailing the core thesis, risks, price targets, timeline, and catalysts, while explicitly preparing rebuttals to bullish counterarguments to ensure a balanced risk review.

Can I use this bearish analysis approach for portfolio risk reviews?

Yes, the bearish analysis approach is fully applicable to both single-asset and portfolio risk reviews, evaluating network activity, adoption dynamics, and market sentiment metrics to identify distribution or waning momentum.

What fundamental factors indicate a bearish market sentiment?

Fundamental bearish factors include declining network activity, negative adoption dynamics, and shifting investor sentiment metrics that indicate distribution or waning upside momentum across social signals.