- Our project uncovers patterns in NFT trading for three NFT collections.
- Part One : Boyed Ape Yatch Club
- Part Two : Azuki
- Part Three : Cryptopunks
- We'll examine relationships between types of:
- Art and customers
- Purchase prices and timestamps
- Trends in purchases over time
- Historical Volume
- Purchase prices
- Trends in sales
- Transaction data ie. transaction fees paid for all collections
- Other related questions as the data admits
- Should you invest in Azuki, BAYC or Crypto Punks?
- What are people paying for NFT in USD value?
- How much in fees are being paid per transaction?
- Is the value appreciating or declining?
- How can you tell which collection is performing well?
- What is the daily transaction volume after Collection is released?
- How do we collect NFT data?
- Covalent APIs
- Etherscan API
- CSV data imports
- Other Dependancies ie. Plotly Express
- Why cleanup data?
- Prepare data for analysis
- Isolate the types of data we are interested in from the rest
- See what the customer data looks like
- Evaluate performance
- What kind of data we like to work with and the field we're interested in
- Market Caps
- Transaction data
- NFT art trading sales
- Gas Prices prices
- Price volatility
- Collections
- Token IDs
- Contract addresses
- NFT Owners
- Global view of NFT Marketplace
- Wrapped tokens
- Major Exchanges that process NFT transactions
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Part One: Bored Ape Yatch Club
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Part Two : Azuki
-
Part Three: Cryptopunks
- Did we find everything we expected to find?
- Difficulties
- Setting proper scope on NFTs there is a lot of data that is available
- Concating data from multiple data sources
- Data cleaning
- Choosing which data to compare and study
- Selecting plots to display data
- Using unfarmiliar libraries
- Working in git as a group
- Coordinating schedules with people remote
- How did we deal with them
- Googling
- Stackoverflow
- Reading official documentation
- Consulting instructor
- Asking tutors
- Additional questions that came up that we would research next if we had more time
- Global NFT market sales comparison
- Burned tokens vs Active tokens
- Correlate NFTs that were around pre 2020 to major crypto pricing trends
- How can we separate authentic sales from suspicious NFT transactions?
- Why would I buy an NFT vs just create my own?
- Difficulties
- After we've analyzed our data to our satisfaction, we'll put together a presentation to show off our work, explain our process, and discuss our conclusions.
- This presentation will be delivered as a slideshow, and it would give our classmates and instructional staff an overview of our work.
- CryptoPunks, Azuki & BAYC
- Would not recommend investment at this time unless you were a seasoned NFT collector, looking at long term royalty market in metaverse or were passionate about a particular punk.
- I would recommend trying to get in on ground for new NFT releases and have a plan why you are getting into market.
- Possibly reasons to invest:
- Passion for NFTs
- Flip for profit
- Creator
- Community love
- CyrptoPunks activity and pricing stayed pretty level from inception 2017 through mid-2020 then the market exploded in parallel with adoption of Crypto currencies.
File: Analysis
File: Project Presentation
- @mmsaki
- Organisation
- Data Analysis
- Powepoint Presentation
- README.md
- Azukis
- @dockingbay24
- Data Analysis
- APIs selection
- Reviewing Project
- Suggesting Changes
- Cryptopunks
- @angel-estrada7
- General Analysis
- Assist w/ presentation
- Bored Ape Yatch Club