Pakistan's main stock market index, the KSE 100, rose to 136503 points on July 14, 2025, gaining 1.64% from the previous session. Over the past month, the index has climbed 11.68% and is up 68.20% 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.

Pakistan Market Cap: PSX: Textile Weaving data was reported at 27,856.000 PKR mn in Sep 2018. This records a decrease from the previous number of 29,801.000 PKR mn for Aug 2018. Pakistan Market Cap: PSX: Textile Weaving data is updated monthly, averaging 30,093.000 PKR mn from Nov 2016 (Median) to Sep 2018, with 23 observations. The data reached an all-time high of 87,706.000 PKR mn in Nov 2016 and a record low of 25,105.000 PKR mn in Feb 2018. Pakistan Market Cap: PSX: Textile Weaving 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).

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

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 13 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.

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.

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 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).

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.

Short/Long Term Stocks: 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

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 Market Cap: PSX: Cable & Electrical Goods data was reported at 37,007.000 PKR mn in Sep 2018. This records a decrease from the previous number of 39,104.000 PKR mn for Aug 2018. Pakistan Market Cap: PSX: Cable & Electrical Goods data is updated monthly, averaging 49,839.000 PKR mn from Nov 2016 (Median) to Sep 2018, with 23 observations. The data reached an all-time high of 83,089.000 PKR mn in May 2017 and a record low of 34,557.000 PKR mn in Jun 2018. Pakistan Market Cap: PSX: 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.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).

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).

Pakistan Market Cap: PSX: Leather & Tanneries data was reported at 22,287.000 PKR mn in Oct 2018. This records a decrease from the previous number of 23,094.000 PKR mn for Sep 2018. Pakistan Market Cap: PSX: Leather & Tanneries data is updated monthly, averaging 32,073.500 PKR mn from Nov 2016 (Median) to Oct 2018, with 24 observations. The data reached an all-time high of 52,363.000 PKR mn in Dec 2016 and a record low of 22,287.000 PKR mn in Oct 2018. Pakistan Market Cap: PSX: Leather & Tanneries 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).

Pakistan PSX: Market Capitalization data was reported at 8,570,926.330 PKR mn in 2017. This records a decrease from the previous number of 9,628,514.370 PKR mn for 2016. Pakistan PSX: Market Capitalization data is updated yearly, averaging 1,723,454.360 PKR mn from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 9,628,514.370 PKR mn in 2016 and a record low of 189,518.300 PKR mn in 1991. Pakistan PSX: Market Capitalization 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 Market Cap: PSX: Glass & Ceramics data was reported at 40,868.000 PKR mn in Oct 2018. This records a decrease from the previous number of 43,275.000 PKR mn for Sep 2018. Pakistan Market Cap: PSX: Glass & Ceramics data is updated monthly, averaging 45,803.500 PKR mn from Nov 2016 (Median) to Oct 2018, with 24 observations. The data reached an all-time high of 56,770.000 PKR mn in May 2017 and a record low of 36,106.000 PKR mn in Jul 2017. Pakistan Market Cap: PSX: Glass & Ceramics 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).

Credit report of Toberia Glasssotar Street Glass Market Karachi P contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

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

Pakistan Market Cap: PSX: Paper & Board data was reported at 62,170.000 PKR mn in Oct 2018. This records a decrease from the previous number of 66,643.000 PKR mn for Sep 2018. Pakistan Market Cap: PSX: Paper & Board data is updated monthly, averaging 82,372.000 PKR mn from Nov 2016 (Median) to Oct 2018, with 24 observations. The data reached an all-time high of 115,951.000 PKR mn in May 2017 and a record low of 62,170.000 PKR mn in Oct 2018. Pakistan Market Cap: PSX: Paper & Board 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).

Pakistan Market Cap: PSX: Oil & Gas Marketing Companies data was reported at 317,966.000 PKR mn in Oct 2018. This records an increase from the previous number of 310,433.000 PKR mn for Sep 2018. Pakistan Market Cap: PSX: Oil & Gas Marketing Companies data is updated monthly, averaging 346,403.000 PKR mn from Nov 2016 (Median) to Oct 2018, with 24 observations. The data reached an all-time high of 462,072.000 PKR mn in May 2017 and a record low of 303,570.000 PKR mn in Dec 2017. Pakistan Market Cap: PSX: 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.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).