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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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The UK commercial real estate market, valued at approximately £149.67 million in 2025, exhibits a robust growth trajectory, projected to expand at a Compound Annual Growth Rate (CAGR) of 4.31% from 2025 to 2033. This growth is fueled by several key drivers. Increasing urbanization and population density within major UK cities like London, Manchester, and Birmingham are creating heightened demand for office, retail, and industrial spaces. The burgeoning e-commerce sector is significantly boosting demand for logistics and warehousing facilities, further propelling market expansion. Government initiatives promoting sustainable development and infrastructure improvements are also contributing positively. However, economic uncertainties, fluctuating interest rates, and potential supply chain disruptions pose challenges to sustained growth. The market segmentation reveals a diversified landscape with offices, retail, and industrial & logistics sectors holding significant shares. The hospitality sector, while facing its own unique challenges, shows resilience, and the "other types" category, encompassing schools and recreational areas, indicates growth opportunities within specialized commercial real estate niches. Key players such as Land Securities Group PLC, Segro PLC, and British Land are strategically positioned to benefit from these market dynamics. Their expertise in property management, development, and investment strategies enables them to effectively navigate the evolving market landscape. The forecast period (2025-2033) suggests a consistent upward trend, albeit with potential fluctuations reflecting broader economic conditions. The diverse regional distribution of commercial real estate across the UK, encompassing London and other major cities, indicates opportunities for regional specialization and targeted investment. While challenges exist, the underlying strength of the UK economy and its attractiveness as a business hub support a positive outlook for the commercial real estate market over the long term. The relatively high CAGR suggests a healthy growth environment, particularly if factors such as improved infrastructure and ongoing investment in sustainable practices are maintained. This indicates considerable potential for investors and developers keen to capitalise on the ongoing expansion and diversification of the UK commercial real estate sector. Recent developments include: October 2023: British Land received a resolution to grant planning permission for an approximately 140,000 sq. ft multi-level last-mile logistics scheme on Mandela Way, Southwark. This project represents the latest addition to British Land’s 2.9 million sq. ft pipeline. Situated near the junction of New Kent Road, Old Kent Road, and Tower Bridge Road, the site will serve as a last-mile logistics hub for Southwark and central London., July 2023: British Land and Landsec formulated a comprehensive set of recommendations aimed at regenerating UK towns and cities. Their goal is to stimulate more growth, create additional homes, and generate more job opportunities by enhancing how the planning system supports brownfield regeneration. As major players behind some of Britain’s most significant regeneration projects, including Landsec’s 24-acre Mayfield neighborhood in central Manchester and British Land and AustralianSuper’s 53-acre Canada Water development in London, these property companies bring extensive experience in large-scale, complex urban developments. The insights gained from such projects have been applied and refined in their latest paper.. Key drivers for this market are: Growth in the Country's Logistics Sector and Warehouse Space, Increasing Demand for Co-working Office Spaces; Increasing Infrastructure Investments. Potential restraints include: Growth in the Country's Logistics Sector and Warehouse Space, Increasing Demand for Co-working Office Spaces; Increasing Infrastructure Investments. Notable trends are: Office Segment Showing Significant Growth in the Market.
The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting ****** U.S. dollars per square foot in 2024. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.
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Canada - Fort taux d'intérêt. Deposit Interest Rate in Canada data was updated on August of 2025. This page has actual data, historical chart, calendar and forecasts for Deposit Interest Rate in Canada.
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Paraguay - Fort taux d'intérêt. Deposit Interest Rate in Paraguay data was updated on September of 2025. This page has actual data, historical chart, calendar and forecasts for Deposit Interest Rate in Paraguay.
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Le taux d'intérêt sur les dépôts à Trinidad et Tobago est resté inchangé à 1,50 % en 2023 par rapport à 1,50 % en 2022. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts à Trinidad et Tobago.
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Le taux d'intérêt sur les dépôts en Jamaïque est passé à 6,20 % en 2024 contre 5,80 % en 2023. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts en Jamaïque.
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Le taux d'intérêt des dépôts à Micronésie est passé de 0,07 % en 2020 à 0,04 % en 2021. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts à Micronésie.
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Le taux d'intérêt des dépôts en Uruguay est passé à 8,10 % en 2023 contre 6,24 % en 2022. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts en Uruguay.
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Le taux d'intérêt des dépôts au Costa Rica est passé de 5,07 % en 2023 à 3,69 % en 2024. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts au Costa Rica.
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License information was derived automatically
Algérie - Fort taux d'intérêt. Deposit Interest Rate in Algeria data was updated on July of 2025. This page has actual data, historical chart, calendar and forecasts for Deposit Interest Rate in Algeria.
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License information was derived automatically
Le taux d'intérêt sur les dépôts au Rwanda est passé à 10,28 % en 2024 contre 9,65 % en 2023. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts au Rwanda.
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Le taux d'intérêt des dépôts aux Fidji est passé à 1,61 % en 2024 contre 1,20 % en 2023. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts aux Fidji.
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Le taux d'intérêt sur les dépôts au Belize est passé de 2,08 % en 2023 à 2,07 % en 2024. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts au Belize.
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Le taux d'intérêt des dépôts à Brunei est passé de 0,19 % en 2023 à 0,38 % en 2024. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts à Brunei.
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Le taux d'intérêt des dépôts en Angola est passé à 7,40 % en 2024 contre 6,88 % en 2023. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts en Angola.
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License information was derived automatically
Le taux d'intérêt des dépôts au Koweït est passé à 2,70 % en 2024 contre 2,50 % en 2023. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts au Koweït.
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License information was derived automatically
Biélorussie - Fort taux d'intérêt. Belarus Overnight Deposit Rate data was updated on September of 2025. This page has actual data, historical chart, calendar and forecasts for Belarus Overnight Deposit Rate.
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License information was derived automatically
Le taux d'intérêt sur les dépôts en Namibie est passé de 5,39 % en 2023 à 5,38 % en 2024. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts en Namibie.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Le taux d'intérêt des dépôts en Guyana est resté inchangé à 0,78 % en 2023 par rapport à 0,78 % en 2022. Cette dataset comprend un graphique avec des données historiques sur le taux d'intérêt des dépôts au Guyana.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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