NFT Floor Price History
Floor price time series for top collections — NFT market dynamics data.
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Find Me This Data →Overview
What Is NFT Floor Price History?
NFT Floor Price History tracks the time-series data of minimum asking prices across top NFT collections, providing a quantitative window into market dynamics and valuation trends. Floor prices serve as a critical benchmark for collection health and investor sentiment, reflecting the lowest price at which an NFT from a given collection can be purchased at any moment. This data type enables analysts, traders, and platform operators to monitor pricing momentum, identify emerging collections, and understand herding behavior within the broader NFT ecosystem. Collections like Bored Ape Yacht Club and PudgyPenguins, which maintain floor prices at 7.62 ETH and 7.92 ETH respectively, demonstrate how floor price history documents sustained value in mature collections. As the global NFT market expands from an estimated $43.08 billion in 2025 to a projected $60.82 billion in 2026, floor price granularity becomes increasingly valuable for detecting market cycles and collection-specific performance.
Market Data
$43.08 billion
Global NFT Market Size (2025)
Source: Colexion
$60.82 billion
Projected NFT Market Size (2026)
Source: Colexion
7.62 ETH
Top Collection Floor Price (BAYC)
Source: Colexion
$2.8 billion
H1 2026 Total NFT Sales Volume
Source: Colexion
62%
Ethereum NFT Contract Market Share
Source: Colexion
Who Uses This Data
What AI models do with it.do with it.
Algorithmic Traders & Quants
Use floor price time series to detect collection momentum, mean reversion patterns, and herding dynamics. Historical pricing sequences enable the development of predictive models for floor price movements and volatility profiling.
Portfolio & Risk Managers
Monitor floor price trends across diversified NFT holdings to assess portfolio health, liquidation risk, and collection-specific downside exposure. Floor data anchors valuation models and correlation analysis.
Market Research & Analytics Firms
Track floor price history to construct indices, analyze market cycles, benchmark collection performance against peer groups, and publish market reports for institutional investors and platforms.
NFT Platforms & Marketplaces
Integrate floor price feeds and historical data to power search filters, sorting, trending collections, price alerts, and transparency features that enhance user decision-making and platform trust.
What Can You Earn?
What it's worth.worth.
Real-Time Floor Price Feeds
Varies
Subscriptions to live, collection-level floor price updates priced on API call volume, collection count, and latency requirements.
Historical Floor Price Datasets
Varies
Bulk historical time series, typically licensed by collection count, time granularity (daily, hourly, minute-level), and data recency (archive vs. recent).
Aggregated Floor Index Data
Varies
Pre-constructed floor price indices across market segments (e.g., art, gaming, virtual land) licensed to research teams, fund managers, and data platforms.
Custom Floor Price Analytics
Varies
Bespoke time-series analysis, anomaly detection, and predictive modeling services for institutional buyers managing large NFT positions.
What Buyers Expect
What makes it valuable.valuable.
Accuracy & Blockchain Verification
Floor price data must be sourced directly from on-chain transactions or verified marketplace APIs, with tamper-proof provenance tied to smart contract execution. No synthetic or estimated prices.
Comprehensive Collection Coverage
Buyers expect floor price history for top-tier collections (by trading volume and market cap) as well as emerging collections with growing momentum. Coverage should span art, gaming, virtual land, and utility NFTs.
Granular Time Resolution
Premium datasets provide minute-level or hourly floor price snapshots to capture intraday volatility and trading events. Daily snapshots are baseline; sub-hourly feeds command premium pricing.
Clean Data & Gap Handling
Floor prices must reflect actual market activity without gaps during low-volume periods. Methodology for handling delisted collections, reminted variants, and split collections must be transparent and documented.
Metadata & Attribution
Each floor price record should include collection ID, blockchain, transaction count, sample size (number of active listings), and source marketplace(s) to enable informed filtering and bias detection.
Companies Active Here
Who's buying.buying.
Acquire floor price histories to construct risk models, benchmark portfolio performance against collection-level floors, and identify arbitrage opportunities across marketplaces and chains.
License real-time floor price feeds and historical data to power discovery, trending sections, price alerts, and user-facing analytics dashboards.
Integrate floor price time series into market reports, on-chain intelligence products, and investor dashboards to contextualize transaction volume and price discovery trends.
Publish aggregated floor price indices and historical datasets to institutional clients, wealth managers, and trading desks seeking standardized NFT valuation benchmarks.
Access floor price histories to conduct empirical studies on NFT pricing dynamics, herding behavior, and market efficiency—contributing to peer-reviewed journals and industry reports.
FAQ
Common questions.questions.
What distinguishes floor price data from full transaction history?
Floor price focuses on the minimum ask price at any given moment for a collection, representing the lowest entry point. Full transaction history includes all past sales at varying prices. Floor price history is more compact and directly signals market sentiment; full transaction data provides richer behavioral and price discovery signals but requires more storage and processing.
How do floor prices differ across blockchains and marketplaces?
Floor prices can vary between Ethereum, Solana, Polygon, and other chains due to liquidity fragmentation, marketplace fee structures, and network effects. OpenSea, Blur, and chain-specific platforms may quote different floors. Premium datasets normalize and aggregate across sources to provide a single canonical floor or weighted average.
What market events typically cause sharp floor price movements?
Floor prices decline rapidly during broader crypto downturns, collections losing utility, creator abandonment, or social media scandals. They can spike during celebrity endorsements, platform integrations, metaverse partnerships, or gaming upgrades. High-value sales can also move floors if early sellers liquidate at market rates.
How reliable is floor price history for predicting future collection value?
Floor price history reveals trends and volatility but does not guarantee future performance. Collections with sustained floors and low volatility may indicate stability; those with collapsing floors signal declining interest. However, NFT markets remain highly speculative, and herding behavior can reverse trends rapidly. Sophisticated buyers combine floor data with on-chain metrics (holder concentration, trading frequency, metadata trends) for robust prediction.
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