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JPMorgan Chase & Co. is a financial holding company, which engages in providing financial and investment banking services. The firm offers a range of investment banking products and services in all capital markets, including advising on corporate strategy and structure, capital raising in equity and debt markets, risk management, market making in cash securities and derivative instruments, and brokerage and research. It operates through the following business segments: Corporate and Investment Bank (CIB), Consumer and Community Banking (CCB), Commercial Banking (CB), and Asset and Wealth Management (AWM). The CIB segment offers a suite of investment banking, market-making, prime brokerage, and treasury and securities products and services to a global client base of corporations, investors, financial institutions, governments, and municipal entities. The CCB segment serves consumers and businesses through personal service at bank branches and through automated teller machines, online, mobile, and telephone banking. The CB segment provides comprehensive financial solutions, including lending, wholesale payments, investment banking and asset management products for middle market banking, corporate client banking and commercial real estate banking. The AWM segment provides investment and wealth management services. The company was founded in 1968 and is headquartered in New York, NY.

About this Dataset

This dataset offers a comprehensive, up-to-date look at the historical stock performance of JPMorgan Chase & Co. (JPM), a global leader in financial services.

About the Company

JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. As the largest bank in the United States and one of the world's most prominent financial institutions, it operates across four major segments: Consumer & Community Banking, Commercial Banking, Corporate & Investment Bank, and Asset & Wealth Management. Its stock performance is a key indicator of the health of the banking and global financial sectors.

Key Features

Daily OHLCV Data: The dataset contains essential Open, High, Low, Close, and Volume metrics for each trading day.

Comprehensive History: Includes data from JPMorgan Chase's early trading history to the present, offering a long-term perspective.

Regular Updates: The dataset is designed for regular, automated updates to ensure data freshness for time-sensitive projects.

Data Dictionary

Date: The date of the trading session in YYYY-MM-DD format.

ticker: The standard ticker symbol for JPMorgan Chase & Co. on the NYSE: 'JPM'.

name: The full name of the company: 'JPMorgan Chase & Co.'.

Open: The stock price in USD at the start of the trading session.

High: The highest price reached during the trading day in USD.

Low: The lowest price recorded during the trading day in USD.

Close: The final stock price at market close in USD.

Volume: The total number of shares traded on that day.

Data Collection

The data for this dataset is collected using the yfinance Python library, which pulls information directly from the Yahoo Finance API.

Potential Use Cases

Financial Analysis: Analyze historical price trends, volatility, and trading volume of JPMorgan Chase stock.

Machine Learning: Develop and test models for stock price prediction and time series forecasting.

Educational Projects: A perfect real-world dataset for students and data enthusiasts to practice data cleaning, visualization, and modeling.

JPMorgan Chase & Co. is an American multinational financial services firm headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States and the world's largest bank by market capitalization (as of 2023)

The Goldman Sachs Group, Inc.is an American multinational investment bank and financial services company. Founded in 1869, Goldman Sachs is headquartered at 200 West Street in Lower Manhattan, with regional headquarters in London, Warsaw, Bangalore, Hong Kong, Tokyo, Dallas and Salt Lake City, and additional offices in other international financial centers

United States JPMC: No. of People Employed Full Time data was reported at 201,005.000 USD th in Dec 2019. This records a decrease from the previous number of 201,697.000 USD th for Sep 2019. United States JPMC: No. of People Employed Full Time data is updated quarterly, averaging 173,596.000 USD th from Dec 2000 (Median) to Dec 2019, with 77 observations. The data reached an all-time high of 205,849.000 USD th in Jun 2012 and a record low of 54,656.000 USD th in Sep 2001. United States JPMC: No. of People Employed Full Time data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB054: Financial Data: Federal Deposit Insurance Corporation: JPMorgan Chase Bank.

JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase is ranked by S&P Global as the largest bank in the United States and the seventh largest bank in the world by total assets, with total assets of US$3.213 trillion.

First Republic Bank was a commercial bank and provider of wealth management services headquartered in San Francisco, California. It catered to high-net-worth individuals and operated 93 offices in 11 states, primarily in New York, California, Massachusetts, and Florida. On May 1, 2023, as part of the 2023 banking crisis, the FDIC announced that First Republic had been closed and sold to JPMorgan Chase.

The company was listed on the NASDAQ under the ticker FRC. This repository contains its stock history data from 2010 to 2023, at the daily, weekly, and monthly level.

This dataset is derived from The Nottingham Longitudinal Study on Activity and Ageing (NLSAA). NLSAA is an 8-year survey for people aged 65 and above, which collects demographic information and a large amount of life data of this population. The baseline survey (T1) was conducted in the summer of 1985. During this period, the data collection team randomly sampled 1,299 people aged 65 and above according to the list provided by general practitioners in Nottinghamshire, and interviewed them. After that, every four years, the population was followed up at T2 (in the summer of 1989) and T3 (in the summer of 1993). The NLSAA data finally contains 1263 variables and 1042 observations. The data describes the prevalence of depression and anxiety among the elderly in NLSAA is extracted and used to form this dataset.In NLSAA, we take the sample with depression and anxiety (psych_=1) as positive, and the sample without depression and anxiety (psych_=0) as negative. In order to balance the categories of sample in the dataset, we extract the positive samples and the negative samples from the T1 survey and only positive samples from the T2 and T3 surveys as the observations of the dataset. Then, according to the relevant literature, we extract the risk variables of depression and anxiety in the elderly from NLSAA as the variables of the dataset. As a result, there are 1152 valid observations and 54 risk variables of depression and anxiety in the elderly in this dataset.Note: To access the original NLSAA dataset, please contact Professor Kevin Morgan (https://www.lboro.ac.uk/departments/ssehs/staff/kevin-morgan/, E-mail Address: K.Morgan@lboro.ac.uk) to get permission for accessing and the copy of the dataset.

Context

The FinCEN files contain money transactions between banks across the world. Also, they have revealed how some of the world's biggest banks have allowed criminals (drug cartels, corrupt regimes, arms trafficking, and more) to move dirty money around the world. Some major banks are HSBC, JP Morgan, Deutsche Bank, Standard Chartered and etc

Reference

• https://www.icij.org/investigations/fincen-files/download-fincen-files-transaction-data/
• https://www.bbc.com/news/uk-54226107
• https://www.icij.org/investigations/fincen-files/dirty-money-has-metastasized-within-global-banking-system-top-regulator-says/

Content

The data that I shared here seems a subset of the actual dataset which was used by ICIJ (International Consortium of Investigative Journalists) for analysis.

transaction_map.csv

• Id = transaction identification number generated by ICIJ
• icij_sar_id = SAR ID number generated by ICIJ that shows all the transactions that were extracted from the same report.
• filer_org_name_id = financial institution that filed the report with FinCEN
• filer_org_name = financial institution that filed the report with FinCEN
• begin_date = date the first transaction in the reported transaction by the filer (set of transactions with the same originator and beneficiary) took place
• end_date = date the last transaction in the reported transaction by the filer (set of transactions with same originator and beneficiary) took place
• origsame originator and beneficiary) took place
• originator_bank_id = bank where the transaction (s) was originated
• originator_bank = bank where the transaction (s) was originated
• originator_bank_country = location country of the originator bank
• originator_iso = originator bank ISO code of the bank location country
• beneficiary_bank_id = bank where the transaction (s) was received
• beneficiary_bank = bank where the transaction (s) was received
• beneficiary_bank_country = location country of the beneficiary bank
• beneficiary_iso = beneficiary bank ISO code of the bank location country
• number_transactions = number of transactions
• amount_transactions = total amount of the transactions #### Data explore

ICIJ provided a visualization tool to explore this data. Here, we can see country wise in & out transactions between the financial institutions(Ex: Banks) and also suspicions filing details of each transaction. https://www.icij.org/investigations/fincen-files/explore-the-fincen-files-data/

Inspiration

We can use this data to understand - Money Laundering - Knowledge Graph construction and visualization

For the 23rd year, Forbes’ Global 2000 ranks the largest public companies in the world using four metrics—sales, profits, assets and market value—and despite the geopolitical uncertainty and combativeness resulting from Donald Trump’s tariffs, all four reached records this year. The 2,000 companies on the 2025 list account for $52.9 trillion in annual revenue, $4.9 trillion in profit, $242.2 trillion in assets and $91.3 trillion in market cap.

Those figures for profit, market value and assets have all at least tripled in the last 20 years, with total sales up 140% in that span, demonstrating how much globalization has helped the world grow, including the United States. America’s largest bank, JPMorgan, is ranked No. 1 for the third year in a row, leading 612 U.S.-based companies on the list.

Tech giants like Amazon and Microsoft as well as international behemoths Saudi Aramco and the Industrial and Commercial Bank of China remain entrenched members of the top 10, while Nvidia continues its fast rise up the rankings to 47th this year. We used the latest 12 months of financial data available to us as of April 25, 2025 to calculate the factors used in our ranking.

Context

From GLOBAL 2000

Forbes’ 18th annual ranking of the world’s 2,000 largest public companies illustrates the magnitude of the global shutdowns and serves as a warning for more trouble ahead in the coming months.

Acknowledgements

Most companies on this year’s Global 2000 list have seen their market values drop considerably since last year, and woeful first-quarter earnings provide a painful insight into the impact of the Great Cessation. The past few months have been especially brutal for the airlines, which saw demand drop lower than after 9/11. American Airlines, for instance, fell from No. 372 on the list to 967th after losing a staggering $2.2 billion in its first quarter.

Not all companies are being negatively affected by the pandemic, however. The biggest players in e-commerce —including Amazon, Alibaba and Walmart—have all experienced growth thanks to the rise in online shopping. All three moved up on this year’s list.

On the financial front, the Industrial and Commercial Bank of China remained in the top spot for the eighth straight year with more than $4.3 trillion in assets. China’s “big four” state-owned banks all wound up in this year’s top 10. JPMorgan Chase is the largest U.S. company at No. 3, falling one spot from last year.

In other bright spots, the largest IPO of 2019, Saudi Aramco, debuted at No. 5 on the list, while Zoom and Slack (which both IPOed last year) have also been instant beneficiaries of the new work-from-home realities. Both companies made an inaugural appearance on the Global 2000—virtually overnight.

This dataset contains the daily closing prices of the Magnificent 7 stocks from 2015 to present. The dataset contains the historical stock data for Apple, Nvidia,Google, Meta, Microsoft, Tesla and Amazon. These stocks are referred to as the "Magnificent 7" a name populated by Bank of America/ Morgan Stanley. The magnificent 7 stocks are the tech titans contributing over 34% of the S&P 500 (as of May 2025) and have consistently outperformed the broader market (S&P 500)