US Stock Market Data (21st November 2023 – 2nd February 2024)

Overview

This dataset provides detailed historical data on the US stock market, covering the period from 21st November 2023 to 2nd February 2024. It includes daily performance metrics for major stocks and indices, enabling investors, analysts, and researchers to study short-term market trends, fluctuations, and patterns.

Dataset Contents

The dataset contains the following key attributes for each trading day:

Date: The trading date.

Ticker: Stock ticker symbol (e.g., AAPL for Apple, MSFT for Microsoft).

Open Price: The price at which the stock opened for trading.

Close Price: The price at which the stock closed for trading . High Price: The highest price reached during the trading session.

Low Price: The lowest price reached during the trading session.

Adjusted Close Price: The closing price adjusted for splits and dividend payouts.

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

Highlights

Time Period: Covers daily data for over two months of trading activity.

Market Scope: Includes data from a diverse set of stocks, industries, and sectors, reflecting the broader US market trends.

Indices and Major Stocks: Tracks key indices (e.g., S&P 500, NASDAQ) and major stocks across various sectors .

Potential Applications

Analyzing short-term market performance trends. Developing trading strategies or backtesting investment models. Exploring the impact of macroeconomic events on stock performance. Studying sector-wise performance in the US stock market.

Data Source

The data has been sourced from publicly available market records, ensuring reliability and accuracy. Each data point represents an official trading record from the respective exchange.

Usage Notes

The dataset is intended for educational, analytical, and research purposes only. Users should be mindful of potential market anomalies or external factors influencing data during this time frame.

Acknowledgments

Special thanks to the organizations and platforms that make financial market data accessible for analysis and research.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

Japan's main stock market index, the JP225, fell to 39432 points on July 14, 2025, losing 0.35% from the previous session. Over the past month, the index has climbed 2.93%, though it remains 4.47% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on July of 2025.

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

Context

According to Investopedia:

FAANG is an acronym referring to the stocks of the five most popular and best-performing American technology companies: Facebook, Amazon, Apple, Netflix and Alphabet (formerly known as Google). In addition to being widely known among consumers, the five FAANG stocks are among the largest companies in the world, with a combined market capitalization of over $4.1 trillion as of January 2020. Some have raised concerns that the FAANG stocks may be in the midst of a bubble, whereas others argue that their growth is justified by the stellar financial and operational performance they have shown in recent years.

Regardless of the myriad of accolades, comments, and even controversies surrounding the FAANG stocks, they are nevertheless a data science/mining treasure and the bellwether of the NASDAQ index, if not the entire US technology sector.

This Kaggle dataset contains over 20 years of daily historical data for the five FAANG constituents, as retrieved from this free stock API. It is a public-domain dataset that gives the data science practitioners (a.k.a., you!) the full flexibility to derive second-order insights and investment heuristics from it.

Content

Over 20 years of daily historical data (2000-01-01 to 2020-10-01) for the five FAANG stocks: Facebook, Amazon, Apple, Netflix, and Alphabet/Google. For completeness, both raw and adjusted prices are included, along with historical split events and dividend payouts (check out here for how stock market API providers perform price adjustments).

Acknowledgements

Data source: https://www.alphavantage.co/

Database Performance Monitoring Solution Market Outlook

The global database performance monitoring solution market size was valued at $2.1 billion in 2023 and is projected to reach $4.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.5% during the forecast period. The market's growth is driven by the increasing reliance on data-driven decision-making and the need for businesses to ensure optimal database performance to maintain competitive advantage.

One of the key growth drivers of the database performance monitoring solution market is the exponential increase in data generation across various industries. With the advent of big data analytics, IoT devices, and cloud computing, the volume, variety, and velocity of data have grown significantly. Organizations are increasingly adopting database performance monitoring solutions to manage, analyze, and optimize this data, ensuring that their databases operate efficiently and effectively. This trend is particularly pronounced in sectors like finance, healthcare, and retail, where data accuracy and speed are critical for business operations.

Another significant factor contributing to the market's growth is the rising complexity of database environments. Modern databases are no longer simple, standalone systems but are often part of a larger ecosystem that includes multiple data sources, cloud services, and applications. This complexity makes it challenging to maintain database performance without specialized tools. Database performance monitoring solutions provide real-time insights, alert systems, and automated optimization features that help IT teams manage these complex environments more effectively. As companies continue to adopt more advanced and intricate database technologies, the demand for robust performance monitoring tools is expected to grow.

The increasing focus on regulatory compliance and data security is also driving the market for database performance monitoring solutions. Regulations such as GDPR in Europe and HIPAA in the United States mandate strict data protection and privacy measures. Non-compliance can result in significant fines and reputational damage. Database performance monitoring solutions help organizations comply with these regulations by providing detailed logs, performance metrics, and security features that ensure data integrity and availability. As regulatory landscapes become more stringent, the adoption of these solutions is likely to increase.

In the realm of financial services, Transaction Monitoring has become an indispensable component of database performance monitoring solutions. As financial institutions handle vast amounts of transactional data daily, ensuring the integrity and performance of these databases is crucial. Transaction Monitoring systems are designed to track and analyze transactions in real-time, identifying potential fraudulent activities and ensuring compliance with regulatory standards. This capability not only helps in maintaining the security and reliability of financial operations but also enhances customer trust by safeguarding sensitive financial data. As the financial sector continues to evolve with digital banking and fintech innovations, the integration of robust Transaction Monitoring within database performance solutions is becoming increasingly vital.

Geographically, North America holds the largest market share in the database performance monitoring solution market, driven by the high adoption rate of advanced technologies and the presence of major market players in the region. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to rapid digital transformation, increasing investments in IT infrastructure, and a growing number of small and medium enterprises (SMEs) adopting advanced database solutions. Europe, Latin America, and the Middle East & Africa are also significant markets, each contributing to the overall market growth with their unique regional dynamics and industry requirements.

Component Analysis

The database performance monitoring solution market can be segmented by component into software and services. The software segment dominates the market due to the high demand for advanced tools and platforms that offer real-time database monitoring, predictive analytics, and automated optimization. These software solutions are designed to cater to various database environments, including SQL, NoSQL, and cloud databases, pr

(ENG)
The dataset provides us straightforward information on real-time movements in the most important stock markets. It consists of several columns: Symbols, Company Name, Last Price, Change, Change %, and ROA, allowing for a quick assessment of which companies, national economies, or sectors are driving the market. This data also enables us to evaluate whether a company is performing well as a potential investment.

(ESP)
El dataset nos proporciona información clara sobre los movimientos en tiempo real de los mercados bursátiles más importantes. Se compone de varias columnas: Symbols, Company Name, Last Price, Change, Change % y ROA, lo que permite una evaluación rápida de qué empresas, economías nacionales o sectores están liderando el mercado. Además, estos datos nos permiten valorar si una empresa es una buena opción de inversión.

China's main stock market index, the SHANGHAI, rose to 3520 points on July 14, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 3.86% and is up 18.35% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

Artificial Intelligence in Regtech Market Outlook

The global Artificial Intelligence (AI) in Regtech market size was valued at approximately USD 7.8 billion in 2023 and is projected to reach around USD 34.5 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 18.3% during the forecast period. This robust growth is attributed to increasing regulatory scrutiny and the subsequent need for efficient compliance solutions. The market's expansion is reinforced by technological advancements in AI, which are enhancing the capabilities of Regtech solutions to address the ever-evolving regulatory landscape.

One of the primary growth factors driving the AI in Regtech market is the increasing complexity of regulatory requirements across various industries. Companies are continually faced with the challenge of staying compliant with a multitude of regulations that differ from country to country. This complexity necessitates the adoption of advanced technologies like AI to automate and streamline compliance processes. AI-powered Regtech solutions can analyze vast amounts of regulatory data and provide actionable insights, helping organizations mitigate risks and avoid costly penalties.

Another significant growth driver is the rise in financial crimes such as money laundering, fraud, and identity theft. Traditional methods of combating these issues are often inadequate due to their manual nature and the sheer volume of data that needs to be processed. AI in Regtech offers sophisticated tools for real-time monitoring, predictive analytics, and anomaly detection, enabling organizations to proactively identify and address fraudulent activities. Consequently, the increasing demand for robust fraud detection and prevention solutions is propelling market growth.

The growing emphasis on operational efficiency and cost reduction is also contributing to the market's expansion. AI technologies can automate routine compliance tasks, reducing the need for extensive human intervention and thereby lowering operational costs. Moreover, AI-driven Regtech solutions can deliver faster and more accurate results, enhancing overall efficiency. Organizations are increasingly recognizing the value of these benefits, leading to higher adoption rates of AI in Regtech solutions.

From a regional perspective, North America holds a significant share of the AI in Regtech market, driven by stringent regulatory frameworks and a high level of technological adoption. Europe is also a major market, owing to rigorous compliance requirements and strong financial sectors. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by rapid digital transformation and increasing regulatory pressures in countries like China and India. Latin America and the Middle East & Africa are also emerging markets, with growing awareness and investment in Regtech solutions.

Component Analysis

In the AI in Regtech market, the component segment is categorized into software, hardware, and services. The software segment dominates the market due to the extensive adoption of AI-powered compliance and risk management solutions. These software solutions offer capabilities such as data analytics, machine learning, and natural language processing, which are crucial for automating regulatory processes. Companies are increasingly investing in AI-driven software to enhance their compliance frameworks and manage regulatory challenges more effectively.

Hardware, though a smaller segment compared to software, plays a critical role in supporting the deployment of AI in Regtech solutions. High-performance computing hardware, such as GPUs and servers, is essential for running complex AI algorithms and processing large datasets. Organizations are investing in advanced hardware to ensure that their AI systems operate efficiently and deliver accurate results. The growth in cloud computing and edge computing technologies is also driving the demand for specialized hardware in the Regtech market.

Services constitute a vital component of the AI in Regtech market, encompassing consulting, implementation, and support services. As organizations adopt AI-powered Regtech solutions, they often require expert guidance to integrate these technologies into their existing systems. Consulting services help companies understand their regulatory requirements and devise effective compliance strategies. Implementation services assist in deploying and customizing AI solutions, while support services ensure the ongoing maintenance and optimization of these sy

The US data processing and hosting services industry is navigating a dynamic environment marked by rising demands and revolutionary trends. As digitalization accelerates, data centers have evolved from simple infrastructure to essential strategic assets. These hubs now power services ranging from cloud computing to advanced data analytics. In 2025, the data processing and hosting service market includes giants like Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). Industry revenue currently sits at $383.8 billion, growing robustly at a CAGR of 9.2% over the past five years, including a 6.2% surge in 2025 alone. Alongside leading tech firms, smaller specialized providers cater to sectors like healthcare, financial services and government agencies with precision-placed data storage solutions. Emerging trends significantly influence the evolution of the US data processing and hosting services industry. Prominent among these is edge computing, a decentralized approach that locates data centers closer to end-user devices. Along with AI and modern data centers, these innovations aim to reduce latency and enhance application performance by minimizing resource usage in data transmission, thereby promoting broader adoption of cloud computing. Despite this transformative growth, the US data processing and hosting services industry faces significant hurdles, including a skill gap, escalating energy costs and escalating cybersecurity threats. This scarcity has heightened the focus on software automation, leading many facilities to implement AI solutions. Though offshoring trends lead to lost business for many participants, this activity is limited and the industry still benefits from strong demand, leading to rising profit. The industry is projected to grow at a CAGR of 2.4% to $431.4 billion by 2030. The future holds a mix of challenges and opportunities for the industry. Strategic investments in human capital and advanced technologies will distinguish industry leaders from laggards. Compliance with evolving data sovereignty and privacy regulations will determine local market competitiveness. Continuous innovation is expected to drive this progress, solidifying data centers' roles as pivotal components shaping the digital landscape ahead.

Premium B2B Marketing Database - 18+ Million Company Records

Accelerate your B2B sales and marketing success with our comprehensive business database featuring over 18 million verified company records and 70 million employee profiles. Our 20+ year data expertise delivers superior quality and coverage compared to competitors.

Core Database Statistics

Company Records: 18,243,524 (verified businesses)

Employee Records: 70,420,010 (professional profiles)

Business Email Addresses: 38,731,006 (verified and deliverable)

Phone Numbers: 9,728,410 (direct business lines)

Geographic Coverage: Complete US business landscape

Industry Classification: Full SIC code taxonomy

Advanced Targeting Categories

Geographic Targeting: Target businesses by precise location parameters including nationwide campaigns, state-level focus, Metropolitan Service Areas (MSA), zip code radius, city and county targeting, and carrier route precision for local market penetration.

Business Profile Segmentation: Segment companies by annual revenue (sales volume), employee count (startup to enterprise), year founded (established vs. emerging), business type (small business, corporation, public company), facility ownership status, stock exchange listings (NYSE, NASDAQ, ASE), and franchise operations.

Industry Classification (SIC Codes): Leverage Standard Industrial Classification codes for precision targeting across 2-digit (broad categories), 4-digit (sub-industries), 6-digit (niche markets), and 8-digit (hyper-specific) classifications covering all major industries including Manufacturing, Healthcare, Technology, Financial Services, Professional Services, and more.

Employee & Decision Maker Targeting: Identify key decision makers by job title (C-level, VP, Director, Manager), department focus (IT, Marketing, Finance, Operations), purchasing authority levels, seniority positions, and functional roles across technical, administrative, and strategic positions.

Multi-Channel Campaign Applications

Deploy across all major B2B marketing channels:

Email Marketing: Direct outreach to verified business email addresses

LinkedIn Advertising: Professional network targeting with job title precision

Social Media: Facebook, Instagram, and Twitter/X B2B campaigns

Search Advertising: Google, BING and YouTube business targeting

Direct Mail: Physical address campaigns for high-value prospects

Telemarketing: Direct phone outreach to decision makers

Account-Based Marketing: Multi-touch ABM campaign coordination

Data Quality & Sources

Our business database aggregates from multiple verified sources:

Business registration and licensing records

Professional association memberships and directories

Industry publications and trade organizations

Conference and trade show participation data

Online business profiles and corporate websites

Financial reporting and SEC filing information

Employment databases and HR records

Technical Delivery & Integration

File Formats: CSV, Excel, JSON, XML formats available

Delivery Methods: Secure FTP, API integration, direct download portals

Integration Options: CRM systems, marketing automation platforms, ad platforms

Custom Selections: 1,000+ selectable business and employee attributes

Update Frequency: Monthly data refreshes with real-time validation

Minimum Orders: Flexible based on targeting complexity and campaign size

Account-Based Marketing (ABM) Excellence

Specifically designed for sophisticated ABM strategies:

Target Account Identification: Find companies matching ideal customer profiles

Decision Maker Mapping: Multiple contacts within target accounts

Account Prioritization: Focus on high-revenue, high-employee companies

Personalized Outreach: Industry and company-specific messaging

Multi-Touch Coordination: Synchronized campaigns across channels

Unique Value Propositions

20+ Year Data Heritage: Established industry expertise and proven track record

Superior Data Coverage: More extensive and accurate than competitors

Real-Time Validation: Continuous data refreshing and quality assurance

Advanced Segmentation: Combine multiple targeting criteria for precision

Compliance Management: Built-in suppression lists and opt-out handling

Technical Flexibility: API access and custom integration support

Ideal Customer Profiles

Technology Companies: Software, SaaS, hardware, and IT services

Professional Services: Consulting, legal, accounting, and advisory firms

Financial Services: Banks, insurance, investment, and fintech companies

Healthcare Organizations: Medical devices, pharmaceuticals, and healthcare IT

Manufacturing Companies: Industrial equipment, automotive, and consumer goods

Marketing Agencies: Digital agencies serving B2B clients

Sales Organizations: Inside sales, field sales, and business development teams

Performance Optimization Features

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Venture Capital Investment Market Size 2025-2029

The venture capital investment market size is forecast to increase by USD 2920.2 billion, at a CAGR of 37.9% between 2024 and 2029.

The Venture Capital (VC) investment market is experiencing significant growth, particularly in the biotech sector, driven by advancements in technology and innovation. This trend is fueled by an increasing number of high-net-worth individuals (HNWIs) worldwide, who are seeking to diversify their portfolios and invest in promising startups. However, this market faces challenges, including foreign exchange volatility, which can impact the returns on investments made across borders. As HNWIs continue to invest in VC funds, they bring not only capital but also expertise and industry connections, further enhancing the potential for successful ventures.
Simultaneously, biotech companies, with their innovative solutions, are attracting substantial VC interest, presenting significant opportunities for growth and returns. Navigating foreign exchange risks and identifying promising biotech startups will be crucial for VC firms seeking to capitalize on these trends and outperform their competitors.

What will be the Size of the Venture Capital Investment Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The venture capital (VC) investment market continues to evolve, shaped by dynamic market conditions and diverse sector applications. Dividend yields and capital gains remain key drivers for investors, as they seek to maximize returns. Big data and growth hacking are increasingly integral to investment theses, enabling industry analysis and informed decision-making. Limited partnerships (LPs) and funds collaborate, with GPs overseeing operations and risk management. Deal sourcing and due diligence are essential components of the investment process, ensuring portfolio companies align with the fund's objectives. Revenue growth and marketing strategies are critical for portfolio companies, as they aim to scale and attract investment.

Term sheets outline investment details, while advisory boards provide strategic guidance. Financial modeling and cash flow management are essential for effective fund management. Technology infrastructure, including AI, cloud computing, and blockchain technology, underpins innovation and growth. Joint ventures and technology licensing offer opportunities for collaboration and expansion. Sales strategy and burn rate analysis help optimize portfolio performance. Private equity and data analytics provide valuable insights for investment opportunities. Stock options and Series A and B funding rounds offer potential for significant returns. Legal agreements and intellectual property (IP) rights are crucial for protecting investments and ensuring long-term success.

How is this Venture Capital Investment Industry segmented?

The venture capital investment industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Sector

  Software
  Pharmaceutical and biotechnology
  Media and entertainment
  Medical devices and equipments
  Others


Type

  First-time venture funding
  Follow-on venture funding


Variant

  Institutional Investors
  Corporate venture capital
  Private equity firms
  Angel investors
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    The Netherlands
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Sector Insights

The software segment is estimated to witness significant growth during the forecast period.

The market has witnessed significant activity in the software industry, with a focus on disruptive technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Blockchain technology. VC firms have invested billions of dollars in these areas, with some companies achieving unicorn status. The software sector includes application software, system infrastructure software, software as a service (SaaS), operating systems, database software, and analytics software. The growing number of entrepreneurs and businesses, estimated to be over 450 million and 300 million, respectively, is fueling the growth of the software segment in the market. VC funds have been actively involved in Series A funding, providing capital for early-stage startups, and Series B funding, for growth-stage companies.

Limited partnerships (LPs) have been essential in providing capital for these funds. Risk management is a critical factor in venture capital investment, with due diligence, financial modeling, and market analysis being crucial c

Canada's main stock market index, the TSX, fell to 27023 points on July 11, 2025, losing 0.22% from the previous session. Over the past month, the index has climbed 1.53% and is up 19.18% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on July of 2025.

Solar Energy Index fell to 37.90 USD on July 11, 2025, down 1.79% from the previous day. Over the past month, Solar Energy Index's price has risen 11.14%, but it is still 15.02% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Solar Energy Index.