NFT floor price: $50,000. Actual bids: 3, totaling $2,000. NFT prices are fiction maintained by wash trading and illiquid markets.
Hypothesis HY10014
NFT floor price: $50,000. Actual bids: 3, totaling $2,000. NFT prices are fiction maintained by wash trading and illiquid markets.
Trading hypothesis
What traders get wrong
False assumption:
"Floor price represents market value. I can sell at floor."
Truth:
NFT prices are manipulated through wash trading, self-dealing, and near-zero actual liquidity.
Problem for trader:
Floor ≠ bids. Wash trading is rampant. Most NFTs are worthless.
Key takeaways
What you should consider as a trader
- Floor ≠ bids - Floor price is lowest ask. Bids may be 50-80% lower.
- Wash trading is rampant - Same wallet buying and selling.
- Royalty-free enables manipulation - Zero cost to fake trades.
- Most NFTs are worthless - 99% of collections have zero meaningful bids.
- Celebrity collections die - Even famous collections go to near-zero.
Data you need
Assess real NFT liquidity
Data points:
- Bid depth analysis
- Wash trade detection
- Real volume filtering
- Floor vs bid spread
Comparison of data sources
Where to get crucial data feeds
| Source | Availability | Notes |
| OpenSea | ⚠️ Partial | Shows floor, hides wash trading. |
| NFT analytics | ⚠️ Partial | Some wash detection. |
| **Madjik** | ✅ Yes | 🚀 Get API Access Now |
Available metrics for this hypothesis:
| Metric | Description | Change dimensions | Time dimensions | How to use | API spec |
| `ME10002` | Order book liquidity | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Current (now) • Past 1 Hour (past1h) • Past 24 Hours (past24h) | Example | API |
| `ME10003` | Volume analysis | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Current (now) • Past 24 Hours (past24h) • Past 7 Days (past7d) | Example | API |
Clean data for AI, A2A, MCP, etc.
Science behind hypothesis
Research supports this hypothesis
Studies estimate 80%+ of NFT volume on some platforms is wash trading.
Bottom line
Floor price is fiction; bid depth is reality. Knowing actual liquidity helps you value NFT positions honestly. Madjik filters wash trading and analyzes real bid depth, giving you true liquidity metrics instead of manipulated floor prices.
Practical use
How to use this data in trading:
Combine these metrics for comprehensive analysis:
- ME10002 (Order Book Liquidity): Assess real market depth vs spoofed orders for optimal execution routing and position sizing across exchanges.
- ME10003 (Volume Analysis): Filter wash trading to size positions correctly and detect genuine fiat inflows confirming trends.
Detailed examples with Python code, AI agent integration (MCP/A2A), and risk analysis:
| `ME10002` | Order Book Liquidity Trading Guide | Example → |
| `ME10003` | Volume Analysis Trading Guide | Example → |
API Documentation: docs.madjik.io
For informational purposes only. Not financial, investment, tax, legal or other advice.