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Jan 9, 2024
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With the rise of cryptocurrencies around the world, there are now
more ways than ever for people to invest their money. However, it’s
not as simple as buying low and selling high. If you could accurately
predict the stock market, you’d be one of the richest people on
earth. As a result, there have been previous studies on how to
predict the stock market using sentiment analysis. For those of you
looking to build similar predictive models, this article will introduce
10 stock market and cryptocurrency datasets for machine learning.
Stock Market Datasets
1.
Historical Stock Market Dataset – This dataset includes the
historical daily prices and volume information for US stocks
and ETFs trading on NASDAQ, NYSE, and NYSE MKT. The data
was last updated on November 10th, 2017 and the files are all
in CSV format.
2.
Istanbul Stock Exchange – With data taken from imkb.gov.tr
and finance.yahoo.com, this dataset was created to test
predictive algorithms. The dataset includes info from the
Istanbul stock exchange national 100 index, S&P 500, and
MSCI. Furthermore, it includes the stock market return indexes
of Brazil, Germany, Japan, and the UK.
3.
News and Stock Data – Originally prepared for a deep learning
and NLP class, this dataset was meant to be used for a binary
classification task. News and Stock Data includes historical
news headlines crawled from Reddit’s r/worldnews subreddit
from June 8th, 2008 to July 1st, 2016. Additionally, it includes
Dow Jones Industrial Average data from August 8th, 2008 to
July 1st, 2016.
4.
Stock Market from a High Level – This dataset includes
historical stock market data from Dow Jones, NASDAQ, and
S&P 500. The data is in a CSV file and includes information
from 1977 to 2017.
5.
Stock Market Turnover Ratio – This information comes from the
Federal Reserve Bank of St. Louis. The dataset contains data
about the total value of shares traded during certain time
periods versus the average market capitalization for that
period.
6.
Uniqlo Stock Price Prediction – The previous items on this list
featured general stock market data. However, this dataset
focuses solely on a single company, Uniqlo. One of the largest
clothing retailers in Japan, Uniqlo has been around for over five
decades. This dataset includes the stock information for the
company from 2012 to 2016.
National Currencies and Cryptocurrency Datasets
7.
CoinMarketCap Dataset – With the rise of cryptocurrency
around the world, more and more people are looking to invest
in it. CoinMarketCap is a market analysis website that provides
information on thousands of cryptocurrencies. This dataset
includes information taken from CoinMarketCap with the
following columns: date, symbol, open, high, low, close,
volume, and market cap.
8.
Currency Exchange Rates – This dataset includes information
about the daily currency exchange rates reported to the
International Monetary Fund. Furthermore, the data contains
info on 51 currencies from January 1st, 1995 to November 4th,
2018.
9.
Daily Prices for All Cryptocurrencies – This is a large dataset
including historical price data for all cryptocurrencies on the
market. The data ranges from April 28th, 2013 to November
30th, 2018. Furthermore, it includes the following information:
coin names, date, rank, close ratio, and spread.
10.
Free Forex Data – From Histdata.com, this dataset
resource provides free Forex data for multiple currencies. The
data is available for the following applications/platforms:
General ASCII, MetaStock, MetaTrader, Microsoft Excel, and
Ninja Trader.
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