OUR HYPOTHESIS ✅ = Open interest and liquidation levels reveal where price wants to go
Hypothesis HY10063
OUR HYPOTHESIS ✅ = Open interest and liquidation levels reveal where price wants to go
Futures open interest shows where traders are positioned. Liquidation levels show where they'll be forced to close. The market often moves to liquidate the maximum positions. Reading these levels reveals the market's gravitational pull.
Trading hypothesis
What traders get wrong
False assumption:
"Price is determined by supply and demand fundamentals."
Truth:
In leveraged markets, price often moves to where the most liquidations can be triggered. The market seeks maximum pain for positioned traders. Liquidation maps reveal probable price targets.
Problem for trader:
If you don't know where liquidations cluster, you don't know where price is likely to go. You're trading blind against those who see the map.
Key takeaways
What you should consider as a trader
- Open interest shows positioning - Large OI at certain levels reveals crowded trades.
- Liquidation cascades drive moves - Price moves trigger liquidations, which trigger more liquidations.
- Stop losses become targets - Visible stop orders become price magnets for liquidation hunters.
- Funding rates show bias - Extreme funding = crowded side likely to be liquidated.
- Max pain is the attractor - Price gravitates toward maximum liquidation levels.
Data you need
Read market positioning
Data points:
- Open interest by price level
- Liquidation heatmap visualization
- Funding rate extremes
- 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 significant 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) • 4h • 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 | Example | API |
Clean data for AI, A2A, MCP, etc.
Science behind hypothesis
Research supports this hypothesis
Analysis shows price systematically targets clustered liquidation levels. "Liquidation hunts" are statistically significant patterns in crypto futures markets.
Bottom line
The map of liquidations is the map of where price wants to go. Understanding open interest and liquidation levels reveals the market's gravitational pull. Madjik visualizes liquidation heatmaps and position distribution so you can see where the market is likely to move.
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.