Euro Area's main stock market index, the EU50, rose to 5672 points on October 20, 2025, gaining 1.15% from the previous session. Over the past month, the index has climbed 4.22% and is up 14.78% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on October of 2025.

India's main stock market index, the SENSEX, rose to 84370 points on October 20, 2025, gaining 0.50% from the previous session. Over the past month, the index has climbed 2.69% and is up 3.97% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on October of 2025.

Brazil Market Expectation: Regulated Prices: Next Calendar Year: Standard Deviation data was reported at 0.430 % in Jun 2019. This records a decrease from the previous number of 0.510 % for May 2019. Brazil Market Expectation: Regulated Prices: Next Calendar Year: Standard Deviation data is updated monthly, averaging 0.615 % from May 2003 (Median) to Jun 2019, with 194 observations. The data reached an all-time high of 1.430 % in Nov 2003 and a record low of 0.250 % in Jan 2018. Brazil Market Expectation: Regulated Prices: Next Calendar Year: Standard Deviation data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SB037: Market Expectation: Regulated Prices. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. Prices administered by contract and monitored Prices administered by contract and monitored are those whose sensitivity to factors of supply and demand is lower, which does not necessarily imply that they are directly regulated by the government.

Socioeconomic dataset for analysing demand prediction of weekend markets in the city of Hamburg, Germany

In this DDLitlab funded Data Literacy student project, our goal was to predict weekend markets in the city of Hamburg and using open-source data and OpenStreetMaps in conjunction with Machine Learning Algorithms. You can find a brief article about the initial grant and our approach here : https://www.cliccs.uni-hamburg.de/about-cliccs/news/2023-news/2023-08-24-ddlitlab-event.html

Github repository: https://gitlab.rrz.uni-hamburg.de/exploring-avenues-for-the-deployment-of-machine-learning-algorithms-for-sustainable-small-agricultural-business-information-using-openstreetmap/main-project-v-3

This repository is intended to make our codes and visualisations openly available to the University of Hamburg students for further research. This is not to be used without citation under any circumstances and the University/authors deserve the right to withdraw consent at any time.

Please do not forget to cite our work in the event of fair use.

Organisation of our Github repository

Codes: contains the codes for the different methods deployed for data preparation,variable selection,visualisations showing the spatial characteristics of our variables, calculating indices such as correlation coefficients and machine learning methods in increasing order of complexity. City-district (Stadtteil) as the unit of analysis.

Data (uploaded datasets) : The open source data obtained for the project has been obtained from OpenStreetMaps (https://wiki.openstreetmap.org/wiki/Use_OpenStreetMap ) and Statistik Nord (https://www.statistik-nord.de/ ) . Each variable contains values for all stadtteils (city-districts) of Hamburg. The filenames are self explanatory.

The Hamburg shapefile has been obtained from Geofabrik https://www.geofabrik.de/de/data/shapefiles.html In addition to the original data uploaded in the section, we have also laid down the final data we have deployed with the algorithms, in the final final_data.csv

Our repository contains the following additional sections:

Results: This section contains results from the codes processed in the first section. It includes the final 10 variables selected for the study, the results from the VIF analysis, correlation matrix, and some model output statistics.

Visualisations: This section is dedicated to visualisations of the variables used for the study and the results from deployment of various methods. In case of any questions, please do not hesitate to contact us at our official student IDs : first.lastname@studium.uni-hamburg.de. We are also available on LinkedIn for professional networking in case of other queries.

Data curators /DDLitLab data literacy project team

Ferdinand Hölzl

Leidy Gicela Vergara Lopez

Shivanshi Asthana

Shuyue Qu

Sojung Oh

Juan Miguel Rodriguez Lopez

Weekly Planner Whiteboard Magnet Market Outlook

According to our latest research, the global Weekly Planner Whiteboard Magnet market size reached USD 1.31 billion in 2024, with a robust CAGR of 7.2% anticipated through the forecast period. By 2033, the market is projected to attain a value of USD 2.44 billion, driven by increasing demand for organizational tools in homes, offices, and educational settings. This growth is primarily attributed to the rising emphasis on productivity enhancement, flexible work arrangements, and the growing trend of home-based learning and remote work environments.

The surge in demand for weekly planner whiteboard magnets can be directly linked to the global shift toward remote and hybrid work models, which has compelled both organizations and individuals to prioritize effective time management and task tracking. As more people work or study from home, the need for accessible, reusable, and visually engaging planning tools has become paramount. Whiteboard magnets, with their customizable and erasable surfaces, offer a sustainable and cost-effective alternative to paper-based planners, aligning with the increasing consumer preference for eco-friendly products. Additionally, the integration of aesthetically pleasing designs and innovative features, such as magnetic accessories and color-coded organizational aids, has further fueled market expansion by appealing to a broader demographic, including students, professionals, and homemakers.

Another significant growth driver is the heightened focus on collaborative planning and communication within educational institutions and corporate offices. Weekly planner whiteboard magnets facilitate group coordination, project tracking, and shared scheduling, making them indispensable tools in classrooms, meeting rooms, and team workspaces. The availability of customizable and large-format options has enabled organizations to streamline workflow management and improve information visibility. Furthermore, the ongoing digital transformation in retail and distribution channels, particularly the proliferation of online stores, has made these products more accessible to a global audience. Consumers now have the convenience of browsing a diverse range of designs, sizes, and materials, fueling further market penetration.

The market is also witnessing significant innovation in terms of materials and manufacturing processes. Manufacturers are increasingly investing in durable, lightweight, and eco-friendly materials such as tempered glass, high-grade plastics, and recyclable metals. These advancements not only enhance product longevity and usability but also cater to the evolving sustainability preferences of modern consumers. Moreover, the introduction of smart features, such as integration with digital planning apps and QR code-enabled reminders, is expected to create new growth avenues. As a result, the weekly planner whiteboard magnet market is poised for sustained expansion, supported by continuous product development and evolving consumer needs.

Regionally, North America and Europe continue to dominate the market, accounting for a combined share of over 60% in 2024, owing to high adoption rates in both residential and commercial segments. However, the Asia Pacific region is emerging as a key growth frontier, driven by rapid urbanization, expanding middle-class populations, and increasing investments in educational infrastructure. Countries such as China, India, and Japan are witnessing a surge in demand for organizational and productivity tools, supported by rising disposable incomes and changing lifestyle patterns. This regional diversification is expected to further bolster overall market growth and create lucrative opportunities for manufacturers and distributors worldwide.

Product Type Analysis

The Product Type segment of the Weekly Planner Whiteboard Magnet market is characterized by a diverse array of options, including Magnetic Weekly Planners, Dry Er

United States SB: NJ: Outlook: FN: Identify Potential Markets for Exporting data was reported at 5.300 % in 11 Apr 2022. This records an increase from the previous number of 4.000 % for 04 Apr 2022. United States SB: NJ: Outlook: FN: Identify Potential Markets for Exporting data is updated weekly, averaging 3.550 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 5.300 % in 11 Apr 2022 and a record low of 2.400 % in 14 Mar 2022. United States SB: NJ: Outlook: FN: Identify Potential Markets for Exporting data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

This view is the result of multiple queries from the Secondary Auction Market Bids dataset to get the latest week of data and some historical averages and standard deviations for this month of the year.

In the banking and insurance sector, approximately one and a half hours of uncompensated overtime per week was worked by employees in 2023. Therefore, the banking and insurance sector was the one with the highest amount of unpaid overtime hours. According to the source, only overtime that is not compensated by time off or variable working hours is considered overtime.

Cost-Aware Scheduling Market Outlook

As per our latest research, the global Cost-Aware Scheduling market size in 2024 stands at USD 2.14 billion, reflecting the growing prioritization of cost optimization across various industries. The market is expected to expand at a robust CAGR of 13.2% from 2025 to 2033, reaching a forecasted value of USD 6.24 billion by the end of 2033. This impressive growth is primarily driven by the increasing need for enterprises to balance operational efficiency with financial prudence, as well as the rapid adoption of advanced scheduling solutions that integrate real-time cost analytics and resource allocation capabilities.

The primary growth factor for the Cost-Aware Scheduling market is the escalating complexity of operations across sectors such as manufacturing, healthcare, and IT & telecommunications. Organizations are under immense pressure to deliver products and services faster while minimizing operational expenses. Cost-aware scheduling solutions empower these enterprises by enabling dynamic resource allocation, real-time tracking of project costs, and predictive analytics for budget adherence. Furthermore, the proliferation of cloud-based solutions has made advanced scheduling tools more accessible to businesses of all sizes, democratizing the benefits of cost optimization and driving market expansion.

Another significant driver is the increasing integration of artificial intelligence (AI) and machine learning (ML) technologies within scheduling platforms. These intelligent systems can analyze vast datasets to identify cost-saving opportunities, optimize workforce deployment, and predict potential bottlenecks before they escalate into costly delays. As digital transformation accelerates, particularly in sectors such as energy & utilities and transportation & logistics, the demand for cost-aware scheduling solutions that can deliver actionable insights and automate complex decision-making processes is projected to rise substantially. This technological evolution is expected to further fuel the market’s growth trajectory over the coming years.

Additionally, stringent regulatory requirements and the growing emphasis on sustainability are encouraging enterprises to adopt cost-aware scheduling solutions. Regulatory compliance often necessitates meticulous tracking of resources, labor hours, and associated costs, which these platforms can facilitate efficiently. Moreover, as organizations strive to reduce their environmental footprint, cost-aware scheduling tools can optimize resource utilization and minimize waste, aligning operational goals with sustainability objectives. This dual focus on compliance and sustainability is particularly evident in regions such as Europe and North America, where regulatory frameworks are more mature and environmental consciousness is high.

From a regional perspective, North America currently dominates the Cost-Aware Scheduling market, owing to its advanced technological infrastructure and early adoption of digital solutions. However, the Asia Pacific region is emerging as a high-growth market, driven by rapid industrialization, expanding IT sectors, and increasing investments in smart manufacturing. Europe also holds a significant share, underpinned by robust regulatory standards and a strong focus on operational efficiency. Latin America and the Middle East & Africa are witnessing steady growth, supported by ongoing digital transformation initiatives and the rising need for cost-effective operational strategies. Collectively, these regional dynamics underscore the global nature of demand for cost-aware scheduling solutions and the diverse factors shaping market expansion.

Component Analysis

The Cost-Aware Scheduling market by component is segmented into software and services, each playing a pivotal role in the ecosystem. The software segment accounts for the largest share, as enterprises increasingly rely on advanced platforms to automate scheduling processes, track costs in real time, and optimize resource allocation. These software solutions are evolving rapidly, integrating AI-driven analytics and customizable dashboards that cater to industry-specific needs. The trend toward cloud-native and SaaS-based scheduling platforms further accelerates adoption, enabling seamless scalability and remote accessibility, which are especially critical in today’s hybrid work environments.

United States Off Within 2 Weeks: sa: Single Family: Camden, NJ data was reported at 55.263 % in Jul 2020. This records an increase from the previous number of 48.079 % for Jun 2020. United States Off Within 2 Weeks: sa: Single Family: Camden, NJ data is updated monthly, averaging 28.873 % from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 55.263 % in Jul 2020 and a record low of 19.833 % in Dec 2014. United States Off Within 2 Weeks: sa: Single Family: Camden, NJ data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB011: Off Market Within 2 Weeks: by Metropolitan Areas: Seasonally Adjusted.

Forecast: Total Hours Worked in Advertising and Market Research in Canada 2024 - 2028 Discover more data with ReportLinker!

The growth of the online short-term rental market, facilitated by platforms such as Airbnb, has added to pressure on cities’ housing supply. Without detailed data on activity levels, it is difficult to design and evaluate appropriate policy interventions. Up until now, the data sources and methods used to derive activity measures have not provided the detail and rigour needed to robustly carry out these tasks. This paper demonstrates an approach based on daily scrapes of the calendars of Airbnb listings. We provide a systematic interpretation of types of calendar activity derived from these scrapes and define a set of indicators of listing activity levels. We exploit a unique period in short-term rental markets during the UK’s first COVID-19 lockdown to demonstrate the value of this approach.

📅 Bhavcopy Calendar: NSE & BSE Holidays & Special Sessions (Capital Markets Only)

This dataset contains official trading holidays and special trading sessions for the capital markets segment of the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India.

  📂 Files Included





  🛑 Holidays.parquet

Contains the list of regular trading holidays when the capital markets were closed. Columns:

Date: Holiday date (YYYY-MM-DD) Holiday: Description of the… See the full description on the dataset page: https://huggingface.co/datasets/MSM02/bhavcopy-calendar.

This Roundup covers critical economic data and publications used by NSW Treasury for monitoring and analysis.

Other-Cashflows-From-Investing-Activities Time Series for Phillips 66. Phillips 66 operates as an energy manufacturing and logistics company in the United States, the United Kingdom, Germany, and internationally. It operates through five segments: Midstream, Chemicals, Refining, Marketing and Specialties (M&S), and Renewable Fuels. The Midstream segment transports crude oil and other feedstocks; delivers refined petroleum products to market; provides terminaling and storage services for crude oil and refined petroleum products; gathers, processes, transports, and markets natural gas; transports, fractionates, markets, and exports natural gas liquids. The Chemicals segment produces and markets ethylene and other olefin products; aromatics and styrenics products, such as benzene, cyclohexane, styrene, and polystyrene; and various specialty chemical products, including organosulfur chemicals, solvents, catalysts, and chemicals used in drilling and mining. The Refining segment refines crude oil and other feedstocks into petroleum products, such as gasolines, distillates, and aviation fuels. The M&S segment purchases for resale and markets refined petroleum products, including gasolines, distillates, and aviation fuels. This segment also manufactures and markets specialty products, such as automotive, commercial, industrial, and specialty lubricants, as well as base oils. The Renewable Fuels segment processes renewable feedstocks into renewable products. This segment also procures renewable feedstocks, manage certain regulatory credits, and market renewable diesel, renewable jet fuel and other renewable fuels. The company markets its products through Phillips 66, Conoco and 76, JET, Kendall, Red Line, and other private label brands. Phillips 66 was founded in 1875 and is headquartered in Houston, Texas.

United States Off Within 2 Weeks: sa: All Residential: Newark, NJ data was reported at 40.896 % in Jul 2020. This records an increase from the previous number of 39.285 % for Jun 2020. United States Off Within 2 Weeks: sa: All Residential: Newark, NJ data is updated monthly, averaging 23.657 % from May 2015 (Median) to Jul 2020, with 63 observations. The data reached an all-time high of 40.896 % in Jul 2020 and a record low of 16.214 % in Apr 2020. United States Off Within 2 Weeks: sa: All Residential: Newark, NJ data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB011: Off Market Within 2 Weeks: by Metropolitan Areas: Seasonally Adjusted.

Lab Automation Scheduling AI Market Outlook

According to our latest research, the global Lab Automation Scheduling AI market size reached USD 1.19 billion in 2024, demonstrating robust momentum driven by the increasing adoption of artificial intelligence in laboratory workflows. The market is forecasted to expand at a CAGR of 12.3% during the period 2025 to 2033, reaching a projected value of USD 3.38 billion by 2033. This growth is primarily fueled by the demand for higher throughput, accuracy, and efficiency in laboratory operations across pharmaceutical, biotechnology, and clinical diagnostic sectors, as well as the integration of advanced AI-driven scheduling solutions that optimize lab resources and reduce operational costs.

One of the key growth factors propelling the Lab Automation Scheduling AI market is the escalating complexity and volume of laboratory processes, particularly in pharmaceutical and biotechnology research. As laboratories face mounting pressure to deliver faster results with minimal errors, AI-powered scheduling tools have emerged as indispensable assets. These solutions intelligently allocate resources, manage workflows, and minimize downtime, thereby enhancing productivity and reducing manual intervention. The surge in drug discovery, genomics, and proteomics research, coupled with the global focus on precision medicine, has catalyzed the adoption of lab automation scheduling AI to streamline experimental protocols and ensure reproducibility of results.

Another critical driver is the increasing integration of cloud-based platforms and IoT-enabled devices within laboratory environments. Cloud-based deployment models offer scalability, remote accessibility, and real-time collaboration, which are essential for multi-site research initiatives and global clinical trials. The convergence of AI with cloud infrastructure enables labs to harness advanced analytics, predictive maintenance, and automated scheduling, thereby optimizing operational efficiency. Additionally, the proliferation of big data in life sciences and healthcare has necessitated the adoption of AI-driven systems capable of handling vast datasets, making lab automation scheduling AI a strategic investment for organizations seeking to maintain a competitive edge.

Furthermore, the growing emphasis on regulatory compliance, data integrity, and laboratory safety is fostering the adoption of sophisticated AI scheduling solutions. Regulatory agencies such as the FDA and EMA require stringent documentation and traceability of laboratory processes. AI-based scheduling systems facilitate compliance by providing audit trails, real-time monitoring, and automated reporting, thus minimizing the risk of human error and ensuring adherence to industry standards. The heightened demand for quality assurance, coupled with the need to optimize resource utilization in the face of budget constraints, is expected to sustain the upward trajectory of the Lab Automation Scheduling AI market over the forecast period.

Regionally, North America continues to lead the global market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The dominance of North America can be attributed to the presence of a well-established pharmaceutical industry, advanced healthcare infrastructure, and substantial investments in R&D and digital transformation. Europe is witnessing significant growth due to increased government funding for life science research and the rising adoption of automation in clinical laboratories. Meanwhile, Asia Pacific is emerging as a high-growth region, driven by expanding biopharmaceutical manufacturing, increasing healthcare expenditure, and the proliferation of AI startups focused on laboratory automation. Latin America and the Middle East & Africa are also demonstrating steady growth, supported by modernization initiatives and the gradual adoption of advanced lab technologies.

Component Analysis

The Component segment of the Lab Automation Scheduling AI market is categorized into software, hardware, and services, each playing a pivotal role in the overall ecosystem. The software component dominates the market, driven by the rapid advancements in AI algorithms, machine learning, and data analytics. AI-powered scheduling software is designed to orchestrate complex laboratory workflows, allocate resources efficiently, and automate routine tasks. The increasing demand for customizable

This Roundup covers critical economic data and publications used by NSW Treasury for monitoring and analysis.

The data record contains the tracker data of the delivery vehicle from mein-Wochenmarkt.online from 02/21. The data set contains the GPS data from several market days (02/19/20, 02/21/20, 03/21/20) and was edited in such a way that the exact start and end points are not visible in order to protect the address data of customers. mein-Wochenmarkt.online is a startup that existed between February and December 2020 and delivered goods from the weekly market in Ulm and from the weekly market on Eselsberg to your door on market days. ### Data source: Datahub City of Ulm under CCZero

Octreotide Market Outlook

In 2023, the global octreotide market size was valued at approximately USD 1.2 billion, and it is projected to reach USD 2.1 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.3% during the forecast period. The increasing prevalence of neuroendocrine tumors and acromegaly, combined with advancements in drug formulation and delivery methods, are significant factors driving market growth.

One of the primary growth factors for the octreotide market is the rising incidence of neuroendocrine tumors (NETs). These tumors, although rare, are becoming more commonly diagnosed due to advancements in diagnostic technologies and increased awareness among healthcare professionals. Octreotide plays a crucial role in managing these tumors, particularly in controlling symptoms and inhibiting tumor growth, thereby driving its demand. Additionally, the aging global population is contributing to the rising prevalence of NETs, further bolstering market growth.

Another significant growth factor is the increasing prevalence of acromegaly, a disorder caused by excessive production of growth hormone. While acromegaly is relatively rare, it can lead to serious health complications if left untreated. Octreotide is a somatostatin analog that is highly effective in controlling growth hormone levels in patients with acromegaly, making it a vital treatment option. Continuous research and development efforts to improve the efficacy and safety profile of octreotide are also playing a pivotal role in market expansion.

The growing focus on research and development in the pharmaceutical industry is another key factor driving the octreotide market. Companies are investing heavily in the development of novel formulations and delivery methods to enhance patient compliance and outcomes. For instance, the development of long-acting release formulations has significantly improved patient convenience by reducing the frequency of administration. These advancements are expected to further drive the adoption of octreotide in the coming years.

In the landscape of neuroendocrine tumor management, Somatuline Drugs have emerged as a pivotal therapeutic option. These drugs, particularly effective in controlling hormone-related symptoms and inhibiting tumor progression, are gaining traction among healthcare providers. The unique formulation of Somatuline allows for sustained release, offering patients a more convenient dosing schedule compared to traditional therapies. This advancement not only enhances patient compliance but also improves overall treatment outcomes. As the understanding of neuroendocrine tumors evolves, the role of Somatuline Drugs in personalized medicine continues to expand, providing targeted solutions for patients with complex needs.

Regionally, North America holds the largest share of the octreotide market, primarily due to the high prevalence of NETs and acromegaly, coupled with advanced healthcare infrastructure and significant investment in research and development. Europe follows closely, driven by similar factors and robust healthcare systems. The Asia Pacific region is expected to witness the fastest growth during the forecast period, owing to increasing healthcare expenditure, rising awareness about rare diseases, and improving diagnostic capabilities. Latin America and the Middle East & Africa are also expected to contribute to market growth, albeit at a slower pace.

Product Type Analysis

The octreotide market is segmented by product type into immediate-release and long-acting release formulations. Immediate-release octreotide formulations are designed for rapid onset of action, making them suitable for acute management of symptoms. These formulations are typically administered multiple times a day, which can be inconvenient for patients, but they are effective in managing severe symptoms quickly. Immediate-release formulations are often used in hospital settings where rapid symptom control is necessary.

Long-acting release (LAR) formulations of octreotide have significantly improved patient compliance by reducing the frequency of administration. These formulations are administered once every four weeks, providing a sustained release of the drug over time. LAR formulations are particularly beneficial for managing chronic conditions such as acromegaly and NETs, where long-term treatment is necessary. The convenience of LAR formulations has led to their widespread adoption and