Financial

This study investigates whether the ingredients listed on restaurant menus can provide insights into a city's socioeconomic status. Using data from an online food delivery system, the study compares menu items with local education rates and rental prices. A machine learning model is developed to predict menu prices based on ingredients and socioeconomic factors. An efficiency metric is proposed to cluster restaurants to address autocorrelation, comparing ingredient averages to socioeconomic indicators.

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297 Views

The dataset tracks the performance of eight stock market indices, from six countries. The indices are: IPC, S\&P 500, DAX, DJIA, FTSE, N225, NDX, and CAC. The time period is from the 1st of June 2006 to the 31st of May 2023.The index and the FX data are sourced from Yahoo Finance, and the rest of the variables are retrieved from the OECD.

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1837 Views

 

In general,the scale of a network is primarily measured by its number of nodes and edges. But we generated six data tables for each chain, with increasing scale (100, 1000, 5000, 10000, 50000, 100000) and time, based on the number of transitions. Significantly, the fetched data, being in CSV format, cannot be directly used for analysis. Therefore, it was necessary for this study to process the data and employ Pajek-formatted files for graph storage [19]. The subsequent data utilized in this research has been preprocessed into Pajek format.

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This dataset comes from the Wind database. This dataset includes a series of Shanghai Stock Exchange 50 ETF option data due in December 2022. This dataset also includes some economic variables.The data used in this article is the trading data of Shanghai Stock Exchange 50ETF call options. The time of option data is from April 28 to October 26, 2022, sourced from the WIND database. The exercise price range of the selected option is from 2.5 to 3.5 (European call options). In addition, the expiration date of the options in this experiment is December 28, 2022.

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239 Views

In the Bitcoin transaction autonomous message data set, we collected the transaction autonomy messages in the first 750,360 blocks of Bitcoin. The first message came from block 228,596. The data set spans from about 22:00 on March 29, 2013, to 8:00 on August 21, 2022. We collected 51,463,687 transaction autonomy messages from the Bitcoin system.

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We have collected the transactions in the Bitcoin memory pool from about 17:00 on April 19, 2021 to 21:00 on April 23, 2021 by configuring the Bitcoin full node. This is because the price of bitcoin was high during this period, and frequent transactions caused congestion in the memory pool. The time dependence of Bitcoin transactions is not easy to express in the data on the blockchain.

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213 Views

Smart contract vulnerabilities have led to substantial disruptions, ranging from the DAO attack
to the recent Poolz Finance arithmetic overflow incident. While historically, the definition of smart contract
vulnerabilities lacked standardization, even with the current advancements in Solidity smart contracts, the
potential for deploying malicious contracts to exploit legitimate ones persists.
The abstract Syntax Tree (AST ), Opcodes, and Control Flow Graph (CFG) are the intermediate representa-

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556 Views

The dataset tracks the performance of 4 major global stock market indexes over a 5 year period from August 2018 to August 2023. It includes the S&P 500 (USA), Nasdaq 100 (USA), Shanghai Composite (China), and Taiwan Weighted Index (Taiwan). The indexes represent key benchmarks for the US, Chinese, and Taiwanese equity markets. Analysis of the dataset can provide insights into relative performance, correlations, and volatility across these major markets.

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597 Views

These are the daily closing prices of three stock indices including Shanghai Securities Composite Index (SSEC), the Shenzhen Securities Component Index (SZI) and the Standard & Poor 500 Index (SPX). The data is obtained from Yahoo Finance (https://finance.yahoo.com) and collated. The SSEC data is from December 19,1990 to May 25, 2023. The data of SZI is from April 3, 1991 to May 25, 2023, and the data of SPX is from December 3, 1990 to May 25, 2023.

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63 Views

Forecasting production from wind and solar power plants, and making effective decisions under forecast uncertainty, are essential capabilities in low-carbon energy systems. This competition invites participants to develop state-of-the-art forecasting and energy trading techniques to accelerate the global transition to net-zero and to win a share of $21,000 in prize money. It aims to bridge the gap between academic and industry practice, introduce energy forecasting challenges to new communities, and promote energy analytics and data science education.

Last Updated On: 
Fri, 01/03/2025 - 08:34
Citation Author(s): 
Jethro Browell, Sebastian Haglund, Henrik Kälvegren, Edoardo Simioni, Ricardo Bessa, Yi Wang

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