BE AWARE ⚠️: Futures let you go long AND short - but the house sees all positions and hunts liquidations
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
- Zero-sum game - Every dollar you make, someone else loses. Your counterparty wants you liquidated.
- Exchange sees all positions - Open interest, liquidation levels, and stop losses are visible to the platform.
- Funding rates are a cost - Holding positions costs money through funding rate payments.
- Liquidation cascades are profitable - Exchanges earn fees when positions are force-closed.
- 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
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 | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Current (now) • Past 1 Hour (past1h) • 8h • Past 24 Hours (past24h) | Example | API |
| `ME10012` | Liquidation risk | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Current (now) • Past 1 Hour (past1h) • 4h • Past 24 Hours (past24h) | Example | API |
Clean data for AI, A2A, MCP, etc.
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.