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Kenya Nairobi Securities Exchange (NSE) All Stocks Prices 2025

Domaine:

socioeconomic

Type de record:

dataset
Créateur:
Wan
Éditeur:
Men
Hôte:avatar
This compilation of historical daily stock market price data relates to the Kenyan Nairobi Securities Exchange (NSE) for year 2025 (upto Oct.). This data is valuable for any machine learning algorithm that needs data (training, validation, testing). This compilation builds on an earlier dataset (2008-2012) that was initially compiled as part of a research project to predict the next day's stock price, based on the previous five days, using Artificial Neural Networks (ANN). This initial research [1],[2] tested 6 stocks[3] using ANN of configuration 5:21:21:1. The data was then enhanced as a new compilation of all stocks for the period 2007-2012[4]. This new dataset augments the NSE dataset from 2007-2012[4], 2013-2020[5], 2021[6], 2022[7], and 2023-2024[8]. The data was scraped from a publicly accessible website[9] licensed by NSE by exporting raw web data to spreadsheets, then cleaning it up to final CSV. Just like the previous compilations, each stock data row has 13 columns (1)Date (2)Stock Code (3)Stock Name (4)12month LowPrice (5)12month HighPrice (6)Day LowPrice (7)Day HighPrice (8)Day FinalPrice (9)Previous traded price (10)Change in price value (11)Change in price% (12)Volume traded (13)Adjusted price. One additional CSV file is also provided to show the stock market sector, with 3 columns (1)Market sector (2)Stock Code (3)Stock Name. This additional dataset provides researchers with an even larger dataset (2007-2025) of stock market data, including market sector information, for machine learning research. List of data files on this dataset: NSE_data_all_stocks_2025_jan_to_oct.csv NSE_data_stock_market_sectors_2025.csv References: [1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi), erepository.uonbi.ac.ke [2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. [3] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, dx.doi.org [4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, dx.doi.org [5] Wanjawa, Barack (2021), “Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020”, Mendeley Data, V2, doi: 10.17632/73rb78pmzw.2 [6] Wanjawa, Barack (2022), “Nairobi Securities Exchange (NSE) Kenya - All Stocks Prices 2021”, Mendeley Data, V5, doi: 10.17632/97hkwn5y3x.5 [7] Wanjawa, Barack (2024), “Kenya Nairobi Securities Exchange (NSE) All Stocks Prices 2022”, Mendeley Data, V2, doi: 10.17632/jmcdmnyh2s.2 [8] Wanjawa, Barack (2025), “Kenya Nairobi Securities Exchange (NSE) All Stocks Prices 2023-2024”, Mendeley Data, V2, doi: 10.17632/ss5pfw8xnk.2 [9] Synergy Systems Ltd. (2023). MyStocks. Retrieved Nov. 15, 2025, from live.mystocks.co.ke

Visit

doi.orgdata.mendeley.com

Tags

Artificial Neural NetworkFinancial MarketMachine LearningStock ExchangeDeep Learning

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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