We offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

Bronze

The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.

When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.

• Latest EOD OPRA options prices

Exchange Fees & Requirements:

This package requires no paperwork or exchange fees.

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• File downloads
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Silver

The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.

You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.

• 15-minute delayed OPRA options prices, Greeks & IV
• 15-minute delayed OPRA unusual options activity
• Latest EOD OPRA options prices
• 15-minute delayed equity prices
• Underlying security reference data

Exchange Fees & Requirements:

If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.

If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.

Silver Benefits:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• File downloads
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives

Gold

The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.

You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

• Real-time OPRA options prices, Greeks & IV
• Real-time OPRA unusual options activity
• Latest EOD OPRA options prices
• Real-time equity prices
• Underlying security reference data

Exchange Fees & Requirements:

If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.

Gold Benefits:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• WebSocket access (additional fee)
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives
• Access to engineering team

Platinum

Don’t see a package that fits your needs? Our team can design a premium custom package for your business.

Telia Company ranked first in market share of mobile call and data subscriptions in Sweden from 2009 to 2023, by operator. As of 2023, the company had a market share of roughly **** percent. The distribution of the market share of mobile call and data has remained relatively stable over the period from 2009 to 2023 with only minor changes each year. However, in 2021 Telia had lost seven percentage points of its market share since 2009 and Hi3G have gained *** percentage points.

China Options: Shanghai Stock Exchange: 300ETF: Open Interest: Call data was reported at 845.199 Contract th in 08 May 2020. This records an increase from the previous number of 834.101 Contract th for 07 May 2020. China Options: Shanghai Stock Exchange: 300ETF: Open Interest: Call data is updated daily, averaging 875.530 Contract th from Dec 2019 (Median) to 08 May 2020, with 89 observations. The data reached an all-time high of 1,336.983 Contract th in 17 Mar 2020 and a record low of 107.629 Contract th in 23 Dec 2019. China Options: Shanghai Stock Exchange: 300ETF: Open Interest: Call data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: Shanghai Stock Exchange: Options: Open Interest: Daily.

Browse LSEG's market-leading global Pricing and Market Data for the financial markets, providing the broadest range of cross-asset market and pricing data.

The dataset reports a collection of earnings call transcripts, the related stock prices, and the sector index In terms of volume, there is a total of 188 transcripts, 11970 stock prices, and 1196 sector index values. Furthermore, all of these data originated in the period 2016-2020 and are related to the NASDAQ stock market. Furthermore, the data collection was made possible by Yahoo Finance and Thomson Reuters Eikon. Specifically, Yahoo Finance enabled the search for stock values and Thomson Reuters Eikon provided the earnings call transcripts. Lastly, the dataset can be used as a benchmark for the evaluation of several NLP techniques to understand their potential for financial applications. Moreover, it is also possible to expand the dataset by extending the period in which the data originated following a similar procedure.

Uruguay Trading Value: Money Market: Call data was reported at 231,260.940 USD th in Nov 2018. This records a decrease from the previous number of 467,631.930 USD th for Oct 2018. Uruguay Trading Value: Money Market: Call data is updated monthly, averaging 336,286.430 USD th from Jan 2001 (Median) to Nov 2018, with 215 observations. The data reached an all-time high of 6,012,069.300 USD th in Nov 2010 and a record low of 619.940 USD th in Aug 2005. Uruguay Trading Value: Money Market: Call data remains active status in CEIC and is reported by Electronic Stock Exchange of Uruguay. The data is categorized under Global Database’s Uruguay – Table UY.Z002: Electronic Stock Exchange of Uruguay: Trading Value.

Call Recording Solutions Market Outlook

The global call recording solutions market size was valued at approximately USD 4.5 billion in 2023 and is projected to reach USD 9.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 9.1% during the forecast period. This robust growth can be attributed to the increasing demand for compliance and risk management across various industries, the need for quality assurance and training in customer service operations, and the rising trend of cloud-based solutions that enhance accessibility and scalability. The call recording solutions market is poised for significant expansion due to technological advancements and the growing adoption of artificial intelligence and analytics in call monitoring and processing.

One of the primary growth factors driving the call recording solutions market is the stringent regulatory landscape in industries such as BFSI, healthcare, and telecommunications, which necessitates the retention and monitoring of communications for compliance purposes. Organizations are required to adhere to various legal frameworks, such as GDPR, HIPAA, and MiFID II, which mandate the recording and secure storage of communications. This regulatory pressure incentivizes businesses to invest significantly in call recording solutions that offer robust compliance management features. Furthermore, the increasing litigation cases and the need for evidence in legal proceedings further underline the importance of reliable call recording systems, bolstering market demand.

Another critical driver of market growth is the surge in demand for customer service excellence and operational efficiency. Companies across industries are leveraging call recording solutions to monitor customer interactions, assess service quality, and provide training to enhance employee performance. These solutions enable organizations to gain valuable insights into customer behavior, preferences, and pain points, facilitating data-driven decision-making and strategic planning. The ability to analyze recorded calls using advanced analytical tools also helps businesses identify trends and patterns, enabling them to tailor their services to meet customer expectations more effectively, thereby improving customer satisfaction and loyalty.

The advent of cloud technology and the increasing adoption of cloud-based call recording solutions represent a significant growth vector for the market. Cloud-based solutions offer numerous advantages, including cost-effectiveness, ease of deployment, scalability, and remote accessibility. They also provide organizations with the flexibility to integrate with other cloud services and applications, creating a more unified communication infrastructure. As businesses increasingly shift towards remote and hybrid work models, the demand for cloud-based call recording solutions that facilitate seamless communication and collaboration has risen, further propelling market growth. Additionally, cloud solutions enable organizations to leverage advanced features such as AI-powered analytics and real-time call monitoring, enhancing their operational efficiency and decision-making capabilities.

In addition to the growing demand for call recording solutions, the integration of a Call Accounting System is becoming increasingly vital for organizations aiming to optimize their communication expenses and enhance operational efficiency. A Call Accounting System provides detailed insights into call usage patterns, enabling businesses to monitor and manage telecommunication costs effectively. By analyzing call data, organizations can identify cost-saving opportunities, allocate resources more efficiently, and ensure compliance with internal policies and external regulations. This system complements call recording solutions by offering a comprehensive view of communication activities, thereby supporting strategic decision-making and improving overall business performance.

Regionally, North America holds a significant share of the call recording solutions market, driven by the presence of major tech companies, stringent regulatory requirements, and a high adoption rate of advanced technologies. The Asia Pacific region is expected to witness the fastest growth during the forecast period, attributed to the rapid digitalization of enterprises and the increasing focus on customer service excellence in emerging economies like China and India. European markets, on the other hand, are steadily growing as businesses across the region continue to adopt new technologies to comply with strict data protec

Cloud Telephony Services Market Outlook

According to our latest research, the cloud telephony services market size reached USD 26.3 billion globally in 2024, with a robust compound annual growth rate (CAGR) of 13.2% anticipated from 2025 to 2033. This growth trajectory is expected to propel the market to a forecasted value of USD 80.1 billion by 2033. The surge in demand for scalable communication solutions, coupled with the rapid adoption of cloud-based technologies across various industries, is a primary driver for this remarkable expansion. As per our latest research, the proliferation of remote work, digital transformation initiatives, and the increasing need for cost-effective telephony solutions are significantly shaping the marketÂ’s evolution.

One of the most prominent growth factors for the cloud telephony services market is the widespread digital transformation initiatives undertaken by enterprises globally. Organizations are increasingly migrating their communication infrastructure to the cloud to enhance operational efficiency, reduce capital expenditure, and achieve seamless scalability. The flexibility offered by cloud telephony solutions enables businesses to quickly adapt to changing market conditions and scale their operations without the need for significant hardware investments. Furthermore, the integration of cloud telephony with other enterprise applications, such as customer relationship management (CRM) and enterprise resource planning (ERP) systems, is streamlining workflows and improving overall business productivity. The growing emphasis on unified communications and the need to support a geographically dispersed workforce have further accelerated the adoption of cloud telephony services.

Another crucial driver of market growth is the increasing demand for advanced communication features and enhanced customer experience. Cloud telephony services offer a range of functionalities, including multi-level interactive voice response (IVR), call analytics, call recording, conferencing, and automated routing, which are essential for businesses to deliver superior customer service. The ability to leverage artificial intelligence (AI) and machine learning (ML) within cloud telephony platforms is enabling organizations to gain actionable insights from call data, personalize interactions, and automate routine tasks. This, in turn, is driving greater customer satisfaction and loyalty, which are critical for business growth in todayÂ’s competitive landscape. Additionally, the pay-as-you-go pricing model offered by cloud telephony providers is making these solutions accessible to small and medium enterprises (SMEs), further expanding the marketÂ’s reach.

Regulatory compliance and security concerns are also influencing the cloud telephony services market. As organizations handle sensitive customer information and adhere to stringent data protection regulations, there is a growing demand for secure and compliant cloud communication solutions. Leading vendors are investing in robust security protocols, encryption, and compliance certifications to address these concerns and build trust among enterprise customers. The introduction of region-specific data centers and adherence to local data sovereignty requirements are also encouraging adoption in highly regulated industries such as banking, financial services, and insurance (BFSI), healthcare, and government sectors. The continuous evolution of security standards and regulatory frameworks is expected to further drive innovation and growth in the cloud telephony services market.

From a regional perspective, North America currently dominates the cloud telephony services market, accounting for the largest revenue share in 2024. The regionÂ’s advanced IT infrastructure, high cloud adoption rates, and presence of major cloud telephony vendors contribute to its leadership position. However, Asia Pacific is emerging as the fastest-growing region, driven by rapid digitalization, increasing internet penetration, and the expansion of SMEs across countries such as China, India, and Southeast Asia. Europe is also witnessing significant growth, supported by the rising demand for unified communication solutions and stringent data protection regulations. Meanwhile, Latin America and the Middle East & Africa are gradually adopting cloud telephony services, primarily fueled by the need for cost-effective communication solutions and the ongoing modernization of enterprise IT infrastructure.

Call Tracking Software Market size was valued at USD 10.05 Billion in 2024 and is projected to reach USD 19.30 Billion by 2031, growing at a CAGR of 8.5% during the forecast period 2024-2031.

Global Call Tracking Software Market Drivers

Growing Need for Marketing Analytics: Companies are putting more and more emphasis on gauging the success of their marketing initiatives. Call monitoring software helps firms optimize their marketing strategy by giving them useful information about which campaigns are generating phone calls.

Growth in Mobile Advertising: As smartphone usage increases, mobile advertising has taken center stage in many companies' marketing plans. Businesses may monitor the success of their mobile advertising campaigns and maximize their mobile marketing efforts with the use of call monitoring software.

Emphasis on Customer Experience: It's critical for businesses to offer a smooth, customized customer experience. Businesses may increase customer satisfaction and improve customer service by using call tracking software to better understand the wants and needs of their clients.

Integration with CRM Systems: Businesses can get a comprehensive picture of their customer interactions by integrating call tracking software with CRM systems. Businesses can increase revenue and strengthen their relationships with customers by implementing this integration.

Regulatory Compliance: Businesses are adopting call monitoring software due to regulatory obligations, such as the requirement to track and record customer calls for compliance purposes.

Technological Developments: Call tracking software is becoming more innovative as a result of technological developments like machine learning and artificial intelligence. Thanks to these developments, companies can now better target their marketing campaigns and glean more insightful information from their call data.

France's main stock market index, the FR40, rose to 7871 points on September 26, 2025, gaining 0.97% from the previous session. Over the past month, the index has climbed 1.64% and is up 1.01% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on September of 2025.

The India Nurse Call Systems Market Report is Segmented by Product Type (Nurse Call Intercoms Systems, Basic Audio/Visual Nurse Call Systems, IP-Based Nurse Call Systems and Other Communication Systems). The Report Offers the Market Size As Value (USD) and Volume (Units) for the Above Segments.

Gain access to LSEG's National Stock Exchange of India data, India's largest stock exchange with more than 180,000 terminals across 600 districts.

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.

Telefonica Stock: A Call for Caution

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 is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a demographic shift of an ageing population and significant technological automation. So if you think that stocks or equities or ETFs are the best place to put your money in 2022, you might want to think again. The crash of the OTC and small-cap market since February 2021 has been quite an indication of what a correction looks like. According to the Motley Fool what happens after major downturns in the market historically speaking? In each of the previous four instances that the S&P 500's Shiller P/E shot above and sustained 30, the index lost anywhere from 20% to 89% of its value. So what's what we too are due for, reversion to the mean will be realistically brutal after the Fed's hyper-extreme intervention has run its course. Of course what the Fed stimulus has really done is simply allowed the 1% to get a whole lot richer to the point of wealth inequality spiraling out of control in the decades ahead leading us likely to a dystopia in an unfair and unequal version of BigTech capitalism. This has also led to a trend of short squeeze to these tech stocks, as shown in recent years' data. Of course the Fed has to say that's its done all of these things for the people, employment numbers and the labor market. Women in the workplace have been set behind likely 15 years in social progress due to the pandemic and the Fed's response. While the 89% lost during the Great Depression would be virtually impossible today thanks to ongoing intervention from the Federal Reserve and Capitol Hill, a correction of 20% to 50% would be pretty fair and simply return the curve back to a normal trajectory as interest rates going back up eventually in the 2023 to 2025 period. It's very unlikely the market has taken Fed tapering into account (priced-in), since the euphoria of a can't miss market just keeps pushing the markets higher. But all good things must come to an end. Earlier this month, the U.S. Bureau of Labor Statistics released inflation data from July. This report showed that the Consumer Price Index for All Urban Consumers rose 5.2% over the past 12 months. While the Fed and economists promise us this inflation is temporary, others are not so certain. As you print so much money, the money you have is worth less and certain goods cost more. Wage gains in some industries cannot be taken back, they are permanent - in the service sector like restaurants, hospitality and travel that have been among the hardest hit. The pandemic has led to a paradigm shift in the future of work, and that too is not temporary. The Great Resignation means white collar jobs with be more WFM than ever before, with a new software revolution, different transport and energy behaviors and so forth. Climate change alone could slow down global GDP in the 21st century. How can inflation be temporary when so many trends don't appear to be temporary? Sure the price of lumber or used-cars could be temporary, but a global chip shortage is exasperating the automobile sector. The stock market isn't even behaving like it cares about anything other than the Fed, and its $billions of dollars of buying bonds each month. Some central banks will start to taper about December, 2021 (like the European). However Delta could further mutate into a variant that makes the first generation of vaccines less effective. Such a macro event could be enough to trigger the correction we've been speaking about. So stay safe, and keep your money safe. The Last Dance of the 2009 bull market could feel especially more painful because we've been spoiled for so long in the markets. We can barely remember what March, 2020 felt like. Some people sold their life savings simply due to scare tactics by the likes of Bill Ackman. His scare tactics on CNBC won him likely hundreds of millions as the stock market tanked. Hedge funds further gamed the Reddit and Gamestop movement, orchestrating them and leading the new retail investors into meme speculation and a whole bunch of other unsavory things like options trading at such scale we've never seen before. It's not just inflation and higher interest rates, it's how absurdly high valuations have become. Still correlation does not imply causation. Just because inflation has picked up, it doesn't guarantee that stocks will head lower. Nevertheless, weaker buying power associated with higher inflation can't be overlooked as a potential negative for the U.S. economy and equities. The current S&P500 10-year P/E Ratio is 38.7. This is 97% above the modern-era market average of 19.6, putting the current P/E 2.5 standard deviations above the modern-era average. This is just math, folks. History is saying the stock market is 2x its true value. So why and who would be full on the market or an asset class like crypto that is mostly speculative in nature to begin with? Study the following on a historical basis, and due your own due diligence as to the health of the markets: Debt-to-GDP ratio Call to put ratio

Japan's main stock market index, the JP225, fell to 45355 points on September 26, 2025, losing 0.87% from the previous session. Over the past month, the index has climbed 6.67% and is up 13.87% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on September of 2025.

China's main stock market index, the SHANGHAI, fell to 3828 points on September 26, 2025, losing 0.65% from the previous session. Over the past month, the index has climbed 0.73% and is up 23.99% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

The International Calling Apps market has emerged as a vital industry segment, stemming from the increasing demand for efficient and cost-effective communication solutions in our globalized world. With businesses, expatriates, and families spread across various countries, the need for reliable international communic

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.

Nature's Call: Is NTCO Stock a Natural Choice?

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.

Werewolf's (HOWL) Call to the Market: Is It a Howling Success?

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

View market daily updates and historical trends for CBOE Equity Put/Call Ratio. from United States. Source: Chicago Board Options Exchange. Track economic…