test HYPO paste 12

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Hypothesis HY10049

BE AWARE ⚠️: Futures let you go long AND short - but the house sees all positions and hunts liquidations

Crypto futures allow leveraged long and short positions. Unlike spot trading, futures create a zero-sum game where your counterparty profits from your loss. Exchanges can see all positions, all stops, and all liquidation levels - and price often moves to maximize liquidations.

Trading hypothesis

What traders get wrong

False assumption:

"Futures let me express directional views with leverage. It's just amplified spot trading."

Truth:

Futures are a zero-sum game where exchanges see all cards. Open interest shows crowded positions. Price systematically moves to liquidate the maximum number of traders.

Problem for trader:

You're playing a game where the house sees everyone's hand and often moves the table to shake out weak positions.

Key takeaways

What you should consider as a trader

  1. Zero-sum game - Every dollar you make, someone else loses. Your counterparty wants you liquidated.
  2. Exchange sees all positions - Open interest, liquidation levels, and stop losses are visible to the platform.
  3. Funding rates are a cost - Holding positions costs money through funding rate payments.
  4. Liquidation cascades are profitable - Exchanges earn fees when positions are force-closed.
  5. Shorts can squeeze, longs can cascade - Crowded positioning in either direction creates vulnerability.

Data you need

Navigate futures markets

Data points:

  • Open interest by direction
  • Funding rate extremes
  • Liquidation level clustering
  • Long/short ratio trends

👇 Access this data now

Comparison of data sources

Where to get crucial data feeds

Source Availability Notes
Coinglass ⚠️ Partial Good data, limited predictive analysis.
Exchange APIs ⚠️ Partial Raw data, needs processing.
Madjik ✅ Yes 🚀 Get API Access Now

Available metrics for this hypothesis:

Metric Description Change dimensions Time dimensions How to use API spec
ME10011 Derivatives • absval
• pct
• score
• now
• 1h
• 8h
• 24h
Example use ME10011 API spec for ME10011
ME10012 Liquidation risk • absval
• pct
• score
• now
• 1h
• 4h
• 24h
Example use ME10012 API spec for ME10012

🚀 Get API Access Now

Science behind hypothesis

Research supports this hypothesis

Studies show price systematically moves to liquidate crowded positions. "Liquidation hunts" are statistically significant patterns in crypto futures markets.

Bottom line

In futures, you're not just trading the market - you're trading against everyone who can see your position. Understanding open interest, funding rates, and liquidation levels reveals where the market wants to go. Madjik tracks futures positioning so you can avoid being the liquidity everyone else extracts.

Practical use

How to use this data in trading:

Combine these metrics for comprehensive analysis:

  • ME10011 (Derivatives): Trade funding rate carry, basis arbitrage, and ETF premiums across perpetuals, futures, and options.
  • ME10012 (Liquidation Risk): Identify liquidation clusters as price magnets, time entries after cascade exhaustion, and manage leverage risk.

Detailed examples with Python code, AI agent integration (MCP/A2A), and risk analysis:

ME10011 Derivatives Trading Guide Example →
ME10012 Liquidation Risk Trading Guide Example →

API Documentation: docs.madjik.io


For informational purposes only. Not financial, investment, tax, legal or other advice.