This dataset was provided by Jason Zhu and Cuneyt G. Akcora from U Manitoba, and Murat Kantarcioglu and Yulia Gel from UT Dallas.
Stablecoins are special tokens that are meant to maintain a fixed price value (e.g., 1 USD per token) over time by being pegged to a fiat currency. Stablecoins are used as a safe house from the volatility that standard cryptocurrencies experience.
The dataset contains ERC20 transaction data of the top five stablecoins in market cap (USDT, USDC, DAI, UST, PAX) and WLUNA. Wrapped LUNA (WLUNA) is not a stablecoin, but it is a form of the LUNA classic token mined and traded on the Ethereum blockchain. Each transaction in the data comprises the quantity of the respective stablecoin defined by the contract address in its row, transferred between various Ethereum externally owned addresses or smart contracts. The dataset contains over 70 million transactions, split into three files, from blocks 14500001 (Friday, April 1, 2022 11:10:21 AM GMT) to 15872937 (Tuesday, November 1, 2022 4:53:59 AM GMT) which span approximately a period of one month before the crash to six months after the crash. The dataset includes three different versions of the networks, each with a longer time length than the previous one. The longest version, identified as token_transfers_V3.0.0.csv, has the greatest time span. The dataset also includes the price data which contains UTC time zone price data (open, high, low, close) in USD of each stablecoin (USDT, USDC, DAI, UST, PAX) and WLUNA from April 1 2022 to November 1 2022. All price data were obtained from Coin Market Cap. Finally, the dataset contains event data (event, timestamp, type, stablecoin) for significant events that occurred between April 1 2022 to November 1 2022 and that impacted the stablecoins network.
One purpose of this dataset is to gain insight into the market behavior and activity at the time of the Terra Luna crash when UST (also known as TerraUSD) lost its 1 USD peg in early May 2022. The price of WLUNA can be used as the proxy for the health of the Terra network during the collapse.
Properties | |
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Number of graphs: 6 | |
Directed: Yes | |
Node features: No | |
Edge features: Yes | |
Graph labels: No | |
Temporal: Yes |
Possible tasks | |
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Unsupervised learning | Analyze stablecoin market behavior and activity |
Change point detection | Detect the time when the LunaTerra crash (May 7th, 2022) caused a shock in the ecosystem with UST losing its peg and WLUNA price falling from 120 USD to 0 USD. |
@inproceedings{chartalistNeurips2022, author = {Kiarash Shamsi and Yulia R. Gel and Murat Kantarcioglu and Cuneyt G. Akcora}, title = {Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains}, booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, November 29-December 1, 2022, New Orleans, LA, USA}, pages = {1--14}, year = {2022}, url = {https://openreview.net/pdf?id=10iA3OowAV3} }
File | Description |
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ERC20-stablecoins.zip | ERC20 Stablecoins |