Financial

This dataset includes the time series of daily returns for the stock indices of  China and ASEAN-6 countries including Vietnam, Thailand, Singapore, Philippines, Malaysia and Indonesia from January 04, 2010 to April 30, 2021.

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209 Views

Twitter is one of the most popular social networks for sentiment analysis. This data set of tweets are related to the stock market. We collected 943,672 tweets between April 9 and July 16, 2020, using the S&P 500 tag (#SPX500), the references to the top 25 companies in the S&P 500 index, and the Bloomberg tag (#stocks). 1,300 out of the 943,672 tweets were manually annotated in positive, neutral, or negative classes. A second independent annotator reviewed the manually annotated tweets.

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5152 Views

This data is for the portfolio

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261 Views

This dataset includes the time series of daily returns for the main stock indices of G20 countries including Argentina, Australia, Brazil, Canada, China, the European Union, France, Germany, India, Indonesia, Italy, Japan, Mexico, Russia, Saudi Arabia, South Africa, South Korea, Turkey, the United Kingdom, and the United States from Jan 1, 2010 to Jan 1, 2020.

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758 Views

Data for the study has been retrieved from a publicly available data set of a leading European P2P lending platform, Bondora (https://www.bondora.com/en). The retrieved data is a pool of both defaulted and non-defaulted loans from the time period between 1st March 2009 and 27th January 2020. The data comprises demographic and financial information of borrowers and loan transactions. In P2P lending, loans are typically uncollateralized and lenders seek higher returns as compensation for the financial risk they take.

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4574 Views

Ropsten Ethereum format is an “Ethereum Testnet” that runs the same protocol as Ethereum.

It contains the following fileds:

 

-Transaction Hash code

-Block Number

-Unix Timestamp

-Date and Time

-Adress From

-Adress To

-Contract Adress

-Value In (in Ethereum)

-Value Out (in Ethereum)

-CurrentValue

-Transfer Fee (in Ethereum)

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892 Views

This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.

https://github.com/epicprojects/blockchain-anomaly-detection

 

Files: 

bitcoin_hacks_2010_2013.csv: Contains known hashes of bitcoin theft/malicious transactions from 2010-2013

malicious_tx_in.csv: Contains hashes of input transactions flowing into malicious transactions.

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2801 Views

Information:

 This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.

Research experiments for this dataset can be found at https://github.com/epicprojects/blockchain-anomaly-detection

 

 

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3766 Views

Information:

This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. 

https://github.com/epicprojects/blockchain-anomaly-detection

 

 

 

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1994 Views

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