United States Index: Wilshire US Micro-Cap data was reported at 13,630.470 NA in Oct 2018. This records a decrease from the previous number of 15,327.160 NA for Sep 2018. United States Index: Wilshire US Micro-Cap data is updated monthly, averaging 5,739.752 NA from Dec 1991 (Median) to Oct 2018, with 323 observations. The data reached an all-time high of 15,736.520 NA in Aug 2018 and a record low of 1,000.000 NA in Dec 1991. United States Index: Wilshire US Micro-Cap data remains active status in CEIC and is reported by Wilshire Associates Incorporated. The data is categorized under Global Database’s United States – Table US.Z018: Wilshire Associates: Index.

View market daily updates and historical trends for Wilshire US Micro-Cap Price Index (DISCONTINUED). from United States. Source: Wilshire. Track economic…

National Stock Exchange of India Limited: Index: NIFTY Microcap 250 data was reported at 23,241.500 NA in 26 Nov 2025. This records an increase from the previous number of 22,937.650 NA for 25 Nov 2025. National Stock Exchange of India Limited: Index: NIFTY Microcap 250 data is updated daily, averaging 5,556.720 NA from Jan 2012 (Median) to 26 Nov 2025, with 3445 observations. The data reached an all-time high of 26,411.600 NA in 11 Dec 2024 and a record low of 1,301.940 NA in 06 Aug 2013. National Stock Exchange of India Limited: Index: NIFTY Microcap 250 data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under High Frequency Database’s Financial and Futures Market – Table IN.EDI.SE: National Stock Exchange of India Limited.

United States - Wilshire US Micro-Cap Total Market was 80192.99000 Index in May of 2024, according to the United States Federal Reserve. Historically, United States - Wilshire US Micro-Cap Total Market reached a record high of 126358.53000 in February of 2021 and a record low of 915.87000 in October of 1978. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wilshire US Micro-Cap Total Market - last updated from the United States Federal Reserve on December of 2025.

United States - Wilshire US Micro-Cap Price was 13276.29000 Index in May of 2024, according to the United States Federal Reserve. Historically, United States - Wilshire US Micro-Cap Price reached a record high of 22335.41000 in February of 2021 and a record low of 1000.00000 in December of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wilshire US Micro-Cap Price - last updated from the United States Federal Reserve on October of 2025.

View market daily updates and historical trends for Wilshire US Micro-Cap Total Market Index (DISCONTINUED). from United States. Source: Wilshire. Track e…

Nifty 50 The NIFTY 50 is a diversified 50 stock index accounting for 13 sectors of the economy. It is used for a variety of purposes such as benchmarking fund portfolios, index based derivatives and index funds.

NIFTY 50 is owned and managed by NSE Indices Limited (formerly known as India Index Services & Products Limited) (NSE Indices). NSE Indices is India's specialised company focused upon the index as a core product.

The NIFTY 50 Index represents about 66.8% of the free float market capitalization of the stocks listed on NSE as on March 29, 2019. The total traded value of NIFTY 50 index constituents for the last six months ending March 2019 is approximately 53.4% of the traded value of all stocks on the NSE. Impact cost of the NIFTY 50 for a portfolio size of Rs.50 lakhs is 0.02% for the month March 2019.. NIFTY 50 is ideal for derivatives trading. From June 26, 2009, NIFTY 50 is computed based on free float methodology.

Nifty 100 NIFTY 100 is a diversified 100 stock index representing major sectors of the economy. NIFTY 100 represents top 100 companies based on full market capitalisation from NIFTY 500. This index intends to measure the performance of large market capitalisation companies. The NIFTY 100 tracks the behavior of combined portfolio of two indices viz. NIFTY 50 and NIFTY Next 50

NIFTY 100 is owned and managed by NSE Indices Limited (formerly known as India Index Services & Products Limited) (NSE Indices). NSE Indices is India’s specialized company focused upon the index as a core products.

• The NIFTY 100 Index represents about 76.8% of the free float market capitalization of the stocks listed on NSE as on March 29, 2019. • The total traded value for the last six months ending March 2019 of all index constituents is approximately 66.2% of the traded value of all stocks on the NSE. From June 26, 2009, NIFTY 100 is computed based on free float methodology.

Nifty Microcap 250

The Nifty Microcap 250 index aims to track the performance of microcap stocks listed or permitted to trade on NSE. The index includes the top 250 companies beyond the Nifty 500 index constituents, selected based on their average full market capitalization. A stocks weight is based on its free-float market capitalization.

Highlights:

The index has a base date of April 01, 2005, with a base value of 1000. The index includes the top 250 companies beyond the Nifty 500 index constituents, selected based on their average full market capitalization.

The weight of each stock in the index is based on its free float market capitalization.

A buffer based on full market capitalization is used to reduce portfolio churn.

The index is reviewed semi-annually.

Nifty500 It represents the top 500 companies based on full market capitalisation from the eligible universe. The NIFTY 500 Index represents about 96.1% of the free float market capitalization of the stocks listed on NSE as on March 29, 2019. The total traded value for the last six months ending March 2019, of all Index constituents is approximately 96.5% of the traded value of all stocks on NSE. The NIFTY 500 companies are disaggregated into industry indices viz. NIFTY Industry Indices.

** FMCG** MCGs (Fast Moving Consumer Goods) are those goods and products, which are non-durable, mass consumption products and available off the shelf. The Nifty FMCG Index comprises of maximum of 15 companies who manufacture such products which are listed on the National Stock Exchange (NSE).

Healthcare The Nifty Healthcare Index is designed to reflect the behaviour and performance of the Healthcare companies. The Nifty Healthcare Index comprises of maximum of 20 stocks that are listed on the National Stock Exchange.

Information Technology (IT) Information Technology (IT) industry has played a major role in the Indian economy. In order to have a good benchmark of the Indian IT sector, NSE Indices has developed the Nifty IT sector index. Nifty IT provides investors and market intermediaries with an appropriate benchmark that captures the performance of the IT segment of the market.

Companies in this index are those that have more than 50% of their turnover from IT related activities like IT Infrastructure , IT Education and Software Training , Telecommunication Services and Networking Infrastructure, Software Development, Hardware Manufacturer’s, Vending, Support and Maintenance.

REAL ESTATE Real estate sector in India is witnessing significant growth. Recent dynamics of the market reflected the opportunity of creating wealth across real estate companies, as proven by recent listings of real estate companies resulting into prominent growth in public funds and private equity.

The main growth thrust is coming due to favorable demographics, increasing purchasing power, existence of customer friendly banks & housing finance companies, professional...

Non-traditional data signals from social media and employment platforms for FDM stock analysis

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Royce Micro-Cap: A Trustworthy Investment? (RMT)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

指数：美国威尔希尔微盘股指数在10-01-2018达13,630.470NA，相较于09-01-2018的15,327.160NA有所下降。指数：美国威尔希尔微盘股指数数据按月更新，12-01-1991至10-01-2018期间平均值为5,739.752NA，共323份观测结果。该数据的历史最高值出现于08-01-2018，达15,736.520NA，而历史最低值则出现于12-01-1991，为1,000.000NA。CEIC提供的指数：美国威尔希尔微盘股指数数据处于定期更新的状态，数据来源于Wilshire Associates Incorporated，数据归类于全球数据库的美国 – 表 US.Z018：威尔希尔协会：指数。

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

River Mercantile UK Micro Cap (RMMC) Stock Forecast: A Tiny Seed, A Mighty Oak

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data