Pakistan's main stock market index, the KSE 100, rose to 141103 points on August 1, 2025, gaining 1.23% from the previous session. Over the past month, the index has climbed 8.25% and is up 80.38% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Pakistan. Pakistan Stock Market (KSE100) - values, historical data, forecasts and news - updated on August of 2025.

Prices for Karachi Stock Exchange KSE100 Index including live quotes, historical charts and news. Karachi Stock Exchange KSE100 Index was last updated by Trading Economics this July 28 of 2025.

Pakistan Karachi Stock Exchange: Index: KSE 100 Index data was reported at 81,114.200 NA in Sep 2024. This records an increase from the previous number of 78,488.220 NA for Aug 2024. Pakistan Karachi Stock Exchange: Index: KSE 100 Index data is updated monthly, averaging 40,556.645 NA from Jun 2013 (Median) to Sep 2024, with 134 observations. The data reached an all-time high of 81,114.200 NA in Sep 2024 and a record low of 21,005.690 NA in Jun 2013. Pakistan Karachi Stock Exchange: Index: KSE 100 Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Pakistan – Table PK.EDI.SE: Karachi Stock Exchange: Monthly.

Pakistan Market Cap: PSX: All Shares data was reported at 13,520,596.056 PKR mn in Apr 2025. This records a decrease from the previous number of 14,374,200.085 PKR mn for Mar 2025. Pakistan Market Cap: PSX: All Shares data is updated monthly, averaging 4,126,558.206 PKR mn from Mar 1999 (Median) to Apr 2025, with 314 observations. The data reached an all-time high of 14,495,888.757 PKR mn in Dec 2024 and a record low of 285,126.330 PKR mn in Sep 2001. Pakistan Market Cap: PSX: All Shares data remains active status in CEIC and is reported by Pakistan Stock Exchange Limited. The data is categorized under Global Database’s Pakistan – Table PK.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).

Stock market return (%, year-on-year) in Pakistan was reported at 16.44 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

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.

Should You Buy, Sell, or Hold? (Karachi 100 Index Stock Forecast)

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

Key information about Pakistan KSE 100

• Pakistan KSE 100 closed at 41,452.7 points in Jun 2023, compared with 41,330.6 points at the previous month end
• Pakistan Equity Market Index: Month End: Pakistan: KSE 100 data is updated monthly, available from Sep 1996 to Jun 2023, with an average number of 11,785.8 points
• The data reached an all-time high of 50,591.6 points in May 2017 and a record low of 841.7 points in Oct 1998

CEIC calculates monthly Equity Market Index from daily Equity Market Index based on the last business day of the month. Pakistan Stock Exchange Limited provides Equity Market Index

Key information about Pakistan Market Capitalization

• Pakistan Market Capitalization accounted for 49.986 USD bn in Feb 2025, compared with a percentage of 50.382 USD bn in the previous month
• Pakistan Market Capitalization is updated monthly, available from Mar 1999 to Feb 2025
• The data reached an all-time high of 96.158 USD bn in May 2017 and a record low of 4.459 USD bn in Sep 2001

CEIC converts monthly Market Capitalization into USD. Pakistan Stock Exchange Limited provides Market Capitalization in local currency. The State Bank of Pakistan period end market exchange rate is used for currency conversions.

Index: KSE All Share Index: Cement data was reported at 43,448.500 1995=1000 in Sep 2018. This records a decrease from the previous number of 46,520.100 1995=1000 for Aug 2018. Index: KSE All Share Index: Cement data is updated monthly, averaging 58,023.200 1995=1000 from Nov 2016 (Median) to Sep 2018, with 23 observations. The data reached an all-time high of 93,674.000 1995=1000 in Feb 2017 and a record low of 43,448.500 1995=1000 in Sep 2018. Index: KSE All Share Index: Cement data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.Z001: Karachi Stock Exchange: Index.

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.

Karachi 100 Index Target Price Forecast

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

Pakistan Market Cap: PSX: Synthetic & Rayon data was reported at 37,412.000 PKR mn in Oct 2018. This records an increase from the previous number of 36,030.000 PKR mn for Sep 2018. Pakistan Market Cap: PSX: Synthetic & Rayon data is updated monthly, averaging 34,136.000 PKR mn from Nov 2016 (Median) to Oct 2018, with 24 observations. The data reached an all-time high of 37,412.000 PKR mn in Oct 2018 and a record low of 28,801.000 PKR mn in Dec 2017. Pakistan Market Cap: PSX: Synthetic & Rayon data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).

Actually, I prepare this dataset for students on my Deep Learning and Machine Learning course.

But I am also very happy to see kagglers play around with it.

Have fun!

Context

High-quality financial data is expensive to acquire and is therefore rarely shared for free. Here I provide the full historical daily price and volume data for all US-based stocks in Karachi stock. It's one of the best datasets of its kind you can obtain.

This Data Contain 801 companies that are registered in Karachi Stock Market, Pakistan. I want to analysis the analysis the Karachi stock market.

Data Details

This dataset contain data from Jan, 01, 2003 to Aug ,30 2019. In each company contain 7 Columns, that are follows 1. Symbol 2. Date 3. Open 4. High 5. Low 6. Close 7. Volume

Objective

• Predict stock share price single variable value. • Predict stock share price multiple variable value. • To find a correlation or forecast time-series data.

Pakistan Index: KSE All Share Index: Oil & Gas Marketing Companies data was reported at 18,494.800 1995=1000 in Sep 2018. This records a decrease from the previous number of 20,678.100 1995=1000 for Aug 2018. Pakistan Index: KSE All Share Index: Oil & Gas Marketing Companies data is updated monthly, averaging 22,139.500 1995=1000 from Nov 2016 (Median) to Sep 2018, with 23 observations. The data reached an all-time high of 30,547.500 1995=1000 in May 2017 and a record low of 18,494.800 1995=1000 in Sep 2018. Pakistan Index: KSE All Share Index: Oil & Gas Marketing Companies data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.Z001: Karachi Stock Exchange: Index.

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.

Karachi 100 Index Stock Price Prediction

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

Pakistan Karachi Stock Exchange: Index: KMI 30 Index data was reported at 124,751.160 NA in Sep 2024. This records a decrease from the previous number of 124,792.200 NA for Aug 2024. Pakistan Karachi Stock Exchange: Index: KMI 30 Index data is updated monthly, averaging 66,318.100 NA from Mar 2012 (Median) to Sep 2024, with 149 observations. The data reached an all-time high of 126,424.270 NA in Jun 2024 and a record low of 23,571.970 NA in Mar 2012. Pakistan Karachi Stock Exchange: Index: KMI 30 Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Pakistan – Table PK.EDI.SE: Karachi Stock Exchange: Monthly.

Pakistan Index: KSE All Share Index data was reported at 30,220.100 1995=1000 in Oct 2018. This records an increase from the previous number of 29,944.470 1995=1000 for Sep 2018. Pakistan Index: KSE All Share Index data is updated monthly, averaging 7,489.335 1995=1000 from Mar 1999 (Median) to Oct 2018, with 236 observations. The data reached an all-time high of 35,000.880 1995=1000 in May 2017 and a record low of 675.380 1995=1000 in Jun 1999. Pakistan Index: KSE All Share Index data remains active status in CEIC and is reported by Pakistan Stock Exchange Limited. The data is categorized under Global Database’s Pakistan – Table PK.Z001: Karachi Stock Exchange: Index.

Training and testing loss of LSTM-attention model, ANN model, RNN-attention model and GRU-attention model.

Pakistan PSX: Number of Listed Companies: New Listings data was reported at 7.000 Unit in 2017. This records an increase from the previous number of 4.000 Unit for 2016. Pakistan PSX: Number of Listed Companies: New Listings data is updated yearly, averaging 6.000 Unit from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 86.000 Unit in 1992 and a record low of 0.000 Unit in 1999. Pakistan PSX: Number of Listed Companies: New Listings data remains active status in CEIC and is reported by Pakistan Stock Exchange Limited. The data is categorized under Global Database’s Pakistan – Table PK.Z005: Karachi Stock Exchange: Annual Statistics.

Metrics of Testing Data generated by LSTM-Attention,ANN, RNN-attention and GRU-Attention. .

Pakistan Index: KSE All Share Index: Cable & Electrical Goods data was reported at 24,785.500 1995=1000 in Sep 2018. This records a decrease from the previous number of 26,190.100 1995=1000 for Aug 2018. Pakistan Index: KSE All Share Index: Cable & Electrical Goods data is updated monthly, averaging 37,257.100 1995=1000 from Nov 2016 (Median) to Sep 2018, with 23 observations. The data reached an all-time high of 62,113.000 1995=1000 in May 2017 and a record low of 24,785.500 1995=1000 in Sep 2018. Pakistan Index: KSE All Share Index: Cable & Electrical Goods data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.Z001: Karachi Stock Exchange: Index.