Malaysia's main stock market index, the FKLCI, fell to 1525 points on July 15, 2025, losing 0.79% from the previous session. Over the past month, the index has climbed 0.36%, though it remains 6.18% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Malaysia. Malaysia Stock Market (FBM KLCI) - values, historical data, forecasts and news - updated on July of 2025.

Key information about Malaysia Composite

• Malaysia Composite closed at 1,574.7 points in Feb 2025, compared with 1,556.9 points at the previous month end
• Malaysia Equity Market Index: Month End: FTSE Bursa Malaysia: Composite data is updated monthly, available from Jan 1974 to Feb 2025, with an average number of 815.8 points
• The data reached an all-time high of 1,882.7 points in Jun 2014 and a record low of 58.6 points in Dec 1974

• In the latest reports, FTSE Composite Index recorded a monthly P/E ratio of 17.3 in Feb 2025

Prices for FTSE Bursa Malaysia KLCI Index including live quotes, historical charts and news. FTSE Bursa Malaysia KLCI Index was last updated by Trading Economics this July 14 of 2025.

In 2024, online scheduling and ticket sales for public transport had the highest index score among mobility technologies in a smart city Kuala Lumpur in Malaysia, with **** out of 100 total score. This was followed by accessible traffic information through mobile phones, with an index score of ****.

Housing Index in Malaysia decreased to 224.20 Index in the fourth quarter of 2024 from 228.30 Index in the third quarter of 2024. This dataset provides - Malaysia House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Explore the historical Whois records related to kl-index.com (Domain). Get insights into ownership history and changes over time.

Malaysia House Price Index: Kuala Lumpur data was reported at 298.400 2000=100 in Dec 2016. This records an increase from the previous number of 297.600 2000=100 for Sep 2016. Malaysia House Price Index: Kuala Lumpur data is updated quarterly, averaging 143.600 2000=100 from Mar 2000 (Median) to Dec 2016, with 68 observations. The data reached an all-time high of 298.400 2000=100 in Dec 2016 and a record low of 99.400 2000=100 in Mar 2001. Malaysia House Price Index: Kuala Lumpur data remains active status in CEIC and is reported by Valuation and Property Services Department, Ministry of Finance. The data is categorized under Global Database’s Malaysia – Table MY.EB002: House Price Index: 2000=100.

In 2024, improved health access through online medical appointments had the highest index score among the other health and safety technologies in a smart city Kuala Lumpur in Malaysia, with a score of **** out of 100. This was followed by the increased sense of public safety from the utilization of CCTV cameras, with an index score of ****.

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.

KLAQ KL Acquisition Corp Class A Common Stock

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

In 2024, processing identification documents had the highest index score among governance technologies in a smart city Kuala Lumpur in Malaysia, with **** out of 100 total score, which had reduced waiting time among citizens. This was followed by access to an online platform where residents can propose ideas, with an index score of **.

This dataset contains current and historical UV Index data for Kuala Lumpur.

Malaysia Consumer Price Index (CPI): Kuala Lumpur: Information and Communication data was reported at 79.600 2010=100 in Mar 2025. This records a decrease from the previous number of 79.800 2010=100 for Feb 2025. Malaysia Consumer Price Index (CPI): Kuala Lumpur: Information and Communication data is updated monthly, averaging 94.200 2010=100 from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 100.600 2010=100 in Feb 2010 and a record low of 79.500 2010=100 in Dec 2024. Malaysia Consumer Price Index (CPI): Kuala Lumpur: Information and Communication data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.I013: Consumer Price Index: Peninsular Malaysia: 2010=100.

Malaysia House Price Index: Annual: Terraced House: Kuala Lumpur data was reported at 300.100 2000=100 in 2016. This records an increase from the previous number of 278.400 2000=100 for 2015. Malaysia House Price Index: Annual: Terraced House: Kuala Lumpur data is updated yearly, averaging 139.850 2000=100 from Dec 1999 (Median) to 2016, with 18 observations. The data reached an all-time high of 300.100 2000=100 in 2016 and a record low of 90.000 2000=100 in 1999. Malaysia House Price Index: Annual: Terraced House: Kuala Lumpur data remains active status in CEIC and is reported by Valuation and Property Services Department, Ministry of Finance. The data is categorized under Global Database’s Malaysia – Table MY.EB002: House Price Index: 2000=100.

Graph and download economic data for Real Residential Property Prices for Malaysia (QMYR628BIS) from Q1 1988 to Q4 2024 about Malaysia, residential, HPI, housing, real, price index, indexes, and price.

Malaysia House Price Index: Annual: High Rise Unit: Kuala Lumpur data was reported at 101.100 1990=100 in 2001. This records a decrease from the previous number of 102.400 1990=100 for 2000. Malaysia House Price Index: Annual: High Rise Unit: Kuala Lumpur data is updated yearly, averaging 101.050 1990=100 from Dec 1988 (Median) to 2001, with 14 observations. The data reached an all-time high of 116.100 1990=100 in 1995 and a record low of 70.700 1990=100 in 1988. Malaysia House Price Index: Annual: High Rise Unit: Kuala Lumpur data remains active status in CEIC and is reported by Valuation and Property Services Department, Ministry of Finance. The data is categorized under Global Database’s Malaysia – Table MY.EB003: House Price Index: 1990=100.

Stock market return (%, year-on-year) in Malaysia was reported at 3.2716 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Malaysia - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Graph and download economic data for Residential Property Prices for Malaysia (QMYN628BIS) from Q1 1988 to Q1 2025 about Malaysia, residential, HPI, housing, price index, indexes, and price.

Malaysia Consumer Price Index (CPI): Kuala Lumpur: Restaurants & Accommodation Services data was reported at 154.200 2010=100 in Mar 2025. This records a decrease from the previous number of 156.200 2010=100 for Feb 2025. Malaysia Consumer Price Index (CPI): Kuala Lumpur: Restaurants & Accommodation Services data is updated monthly, averaging 128.700 2010=100 from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 156.200 2010=100 in Feb 2025 and a record low of 99.200 2010=100 in Feb 2010. Malaysia Consumer Price Index (CPI): Kuala Lumpur: Restaurants & Accommodation Services data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.I013: Consumer Price Index: Peninsular Malaysia: 2010=100.

The house price index in Malaysia reached ***** in 2023, an increase of more than twofold compared to the base index of 100 in 2010. The price index, which measures the average change in prices over a period of time, indicated that the value of housing in the country continued to increase every year since 2014. Recovery in the housing market Malaysia’s real estate industry was significantly hit by the COVID-19 pandemic but showed signs of recovery in 2022 when the restrictions were finally lifted. Subsequently, the housing market also signaled a positive recovery, with the transaction value of the residential sector growing by approximately ** percent in the same year. Going into 2024, despite uncertainties in the global economy, the housing market in Malaysia is likely to experience more growth. Demand for more affordable housing Although the real estate market is recovering and the inflation rate in the country has slowed down, the average price of houses reached nearly ******* Malaysian ringgit in 2022, an increase of around ****** Malaysian ringgit compared to the previous year. According to a survey conducted in the capital city, Kuala Lumpur, the majority of potential home buyers had a housing budget of less than ******* Malaysian ringgit. As of 2024, the Malaysian government already has several low-cost housing schemes catered for the B40 lower-income and M40 middle-income groups. Nevertheless, with the rising residential prices and current cost of living, there will be more demand for affordable housing options among home buyers.

Bursa Malaysia: Dividend Yield: FTSE Composite Index data was reported at 3.320 % pa in Apr 2025. This records an increase from the previous number of 2.100 % pa for Mar 2025. Bursa Malaysia: Dividend Yield: FTSE Composite Index data is updated monthly, averaging 3.080 % pa from Jul 2009 (Median) to Apr 2025, with 190 observations. The data reached an all-time high of 4.080 % pa in Aug 2009 and a record low of 1.890 % pa in Dec 2020. Bursa Malaysia: Dividend Yield: FTSE Composite Index data remains active status in CEIC and is reported by Bursa Malaysia. The data is categorized under Global Database’s Malaysia – Table MY.Z: Bursa Malaysia: Dividend Yield. [COVID-19-IMPACT]