Financial

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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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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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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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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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

This study uses monthly data on the value of Indonesian exports (Million US$) obtained from the Central Statistics Agency (BPS) from January 1993 to December 2022. The process of collecting export data by BPS is based on export documents or Goods Export Notification (PEB) filled out by exporters and has been given a loading permit by the Customs and Excise Service Office, then sent to BPS and Bank Indonesia (BI). Since 2015, other data sources in export recording are records from other agencies such as PT POS Indonesia, and sea border export surveys.

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133 Views

To test the effectiveness of different ambiguity models in representing real decision-making under ambiguity, we ran an incentivized experiment of choice under ambiguity. The study involved 310 participants recruited using the online international labor market, Amazon Mechanical Turk (MTurk), to participate in an experimental study implemented on the survey platform, Qualtrics. Each of the 310 subjects made 150 preference choices between two options involving variations of the four ambiguity problems with varying levels of ambiguity and risk.

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200 Views

The GDP per capita for countries is shown in this dataset for the different years. This economic metric shows the economic output per person and determines the country’s situation based on its economic growth. This dataset can be used to analyze the prosperity of a country based on its economic growth. Countries with higher GDP per countries are determined to be developed whereas countries with low GDP per capita are determined to be developing countries. This dataset can be used to analyze a country’s wealth and prosperity.

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425 Views

This dataset provides historical closing prices of 30 cryptocurrencies traded on the global cryptocurrency exchange, Binance, for a period of three months from January 01, 2022, to March 31, 2022. The data have been collected at three frequencies of 1 minute, 5 minutes, and 1 hour. The dataset has been filtered to include only the top 10% of cryptocurrencies with the highest trading volume to ensure adequate liquidity.

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271 Views

Sales data collection is a crucial aspect of any manufacturing industry as it provides valuable insights about the performance of products, customer behaviour, and market trends. By gathering and analysing this data, manufacturers can make informed decisions about product development, pricing, and marketing strategies in Internet of Things (IoT) business environments like the dairy supply chain.

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2769 Views

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