Pakistan's main stock market index, the KSE 100, rose to 139379 points on July 31, 2025, gaining 0.70% from the previous session. Over the past month, the index has climbed 8.72% and is up 79.29% 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 July 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.

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

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 July 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: Stock market value traded w/o top 10 firms, % of total value traded: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0.00 percent, based on data from countries. Historically, the average for Pakistan from to is percent. The minimum value, percent, was reached in while the maximum of percent was recorded in .

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).

Graph and download economic data for Stock Market Turnover Ratio (Value Traded/Capitalization) for Pakistan from 1996 to 2011 about Pakistan, ratio, and stock market.

Pakistan: Stock market capitalization w/o top 10 firms, percent of total market cap: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0.00 percent, based on data from countries. Historically, the average for Pakistan from to is percent. The minimum value, percent, was reached in while the maximum of percent was recorded in .

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.

Stock price volatility in Pakistan was reported at 17.28 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Key information about Pakistan Market Capitalization: % of GDP

• Pakistan Market Capitalization accounted for 9.8 % of its Nominal GDP in Jun 2024, compared with a percentage of 7.6 % in the previous year
• Pakistan Market Capitalization: % Nominal GDP is updated yearly, available from Jun 2000 to Jun 2024
• The data reached an all-time high of 36.0 % in Jun 2007 and a record low of 6.0 % in Jun 2001

CEIC calculates Market Capitalization as % of Nominal GDP from monthly Market Capitalization and annual Nominal GDP. Pakistan Stock Exchange Limited provides Market Capitalization in local currency. The Pakistan Bureau of Statistics provides Nominal GDP in local currency

A significant correlation between financial news with stock market trends has been explored extensively. However, very little research has been conducted for stock prediction models that utilize news categories, weighted according to their relevance with the target stock. In this paper, we show that prediction accuracy can be enhanced by incorporating weighted news categories simultaneously into the prediction model. We suggest utilizing news categories associated with the structural hierarchy of the stock market: that is, news categories for the market, sector, and stock-related news. In this context, Long Short-Term Memory (LSTM) based Weighted and Categorized News Stock prediction model (WCN-LSTM) is proposed. The model incorporates news categories with their learned weights simultaneously. To enhance the effectiveness, sophisticated features are integrated into WCN-LSTM. These include, hybrid input, lexicon-based sentiment analysis, and deep learning to impose sequential learning. Experiments have been performed for the case of the Pakistan Stock Exchange (PSX) using different sentiment dictionaries and time steps. Accuracy and F1-score are used to evaluate the prediction model. We have analyzed the WCN-LSTM results thoroughly and identified that WCN-LSTM performs better than the baseline model. Moreover, the sentiment lexicon HIV4 along with time steps 3 and 7, optimized the prediction accuracy. We have conducted statistical analysis to quantitatively assess our findings. A qualitative comparison of WCN-LSTM with existing prediction models is also presented to highlight its superiority and novelty over its counterparts.

A significant correlation between financial news with stock market trends has been explored extensively. However, very little research has been conducted for stock prediction models that utilize news categories, weighted according to their relevance with the target stock. In this paper, we show that prediction accuracy can be enhanced by incorporating weighted news categories simultaneously into the prediction model. We suggest utilizing news categories associated with the structural hierarchy of the stock market: that is, news categories for the market, sector, and stock-related news. In this context, Long Short-Term Memory (LSTM) based Weighted and Categorized News Stock prediction model (WCN-LSTM) is proposed. The model incorporates news categories with their learned weights simultaneously. To enhance the effectiveness, sophisticated features are integrated into WCN-LSTM. These include, hybrid input, lexicon-based sentiment analysis, and deep learning to impose sequential learning. Experiments have been performed for the case of the Pakistan Stock Exchange (PSX) using different sentiment dictionaries and time steps. Accuracy and F1-score are used to evaluate the prediction model. We have analyzed the WCN-LSTM results thoroughly and identified that WCN-LSTM performs better than the baseline model. Moreover, the sentiment lexicon HIV4 along with time steps 3 and 7, optimized the prediction accuracy. We have conducted statistical analysis to quantitatively assess our findings. A qualitative comparison of WCN-LSTM with existing prediction models is also presented to highlight its superiority and novelty over its counterparts.

Foreign Direct Investment in Pakistan increased by 206.60 USD Million in June of 2025. This dataset provides - Pakistan Foreign Direct Investment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Prices for INRPKR Indian Rupee Pakistani Rupee including live quotes, historical charts and news. INRPKR Indian Rupee Pakistani Rupee was last updated by Trading Economics this July 31 of 2025.

Technical indicators selected for stock trend prediction (Adopted from [8]).

Prices for LUNPKR Terra Pakistani Rupee including live quotes, historical charts and news. LUNPKR Terra Pakistani Rupee was last updated by Trading Economics this July 30 of 2025.

Gamer Pakistan net worth as of June 30, 2025 is $0B. Interactive chart of historical net worth (market cap) for Gamer Pakistan (GPAK) over the last 10 years. How much a company is worth is typically represented by its market capitalization, or the current stock price multiplied by the number of shares outstanding.

Pakistan Rolling Stock Power Conversion System Market is expected to grow during 2024-2031