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Liquidation Heatmap Analysis

Reads leveraged-position liquidation levels to spot likely price magnets, cascades and support/resistance

Source Download skill
Repository
HKUDS/Vibe-Trading
Stars
37,433
Licence
MIT
Files
1 file

What it does

This skill teaches an AI agent to think about crypto futures markets in terms of leveraged positions that get forcibly closed (liquidated) when price moves too far against them. When asked, the agent explains how liquidation prices are calculated, how to read a liquidation heatmap showing where those closures are concentrated, and how clusters might act as price magnets, cascade triggers, or later support and resistance. It also includes sample Python functions for estimating clusters and generating simple 'magnet', 'cascade risk' and 'post-liquidation' signals.

Great for

  • Crypto traders who already use leverage and want a structured way to read liquidation maps
  • Analysts or developers prototyping liquidation-based indicators for crypto markets
  • Students learning how leverage and maintenance margin affect liquidation prices

Skip it if

  • Anyone making real trading decisions with money they cannot afford to lose: the skill presents liquidation 'magnet' and 'stop-hunt' ideas as fact, but the file gives no backtest or evidence that these signals predict price.
  • Non-financial uses or general crypto questions: the skill is narrow and its estimation functions are placeholders that depend on data the user must supply.

Try asking

  • “Explain where the long and short liquidation clusters might sit for BTC if price is around $66,000 and what a cascade risk looks like”
  • “Show me how liquidation price is calculated for a 10x long at $65,000 with 0.5% maintenance margin”
  • “Interpret this liquidation heatmap data and tell me whether the nearest cluster above or below is larger”
  • “Walk me through how a large liquidation event could become a support or resistance level”
Step-by-step guide: how to use Liquidation Heatmap AnalysisInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    liquidation-heatmap.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip liquidation-heatmap.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip liquidation-heatmap.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Ask for the calculation assumptions (maintenance margin, leverage mix) and treat estimated cluster maps as approximations, not observed order books
  • Pair the analysis with your own risk limits and position sizing; do not act on 'magnet' signals alone
  • Provide real liquidation data if you want results grounded in current markets rather than illustrative numbers

What's inside

  • SKILL.md

Redistributed unmodified from HKUDS/Vibe-Trading under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.