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Stock Market Data

Stock market data is information relating to the historical, real time, and predictive values of equities. It's mostly used by investors e.g. in evaluating current stock prices and investment decisions. Datarade helps you find the right stock market data providers and datasets. Read the data guide ↓

Top Stock Market Data APIs, Datasets, and Databases

Find the top commercial Stock Market Data sets, feeds and streams.

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Data Finder

by Brain Company

Model inputs include stock specific features such as fundamentals and price-volume related metrics, market data such as volatility and other ... US stocks across four time horizons: 2,3, 5, 10 and 21 days.

Availability

Yearly subscription

Features

Based on Stock Market Data

Covers North America

10 years of past data available

Fits 4 use cases

Includes 1K stocks covered

by Barchart

Drive your entire business from front to back office with delayed exchange data from Barchart. ... Our consolidated feeds can power your product, services, with global coverage of commodity prices, stock quotes, and trade executions.

Features

Based on Stock Market Data

by Exchange Data International

Monitored daily, the service comprises over 2500 institutions with holiday observances for the next 30 years and historical data from 2001. ... Global Market Holidays and Timings service provides timely and accurate information on holiday observances affecting financial institutions.

Availability

One-off purchase

Monthly subscription

Yearly subscription

Usage Based

Features

Based on Stock Market Data

Global geo coverage

20 years of past data available

Fits 3 use cases

by Barchart

Get to market faster with real-time data feeds available through Barchart. ... We make it easy to power your software, trading strategies, or risk management system with data you can count on.

Features

Based on Stock Market Data

by Brain Company

Each stock is assigned a sentiment score ranging from -1 (most negative) to +1 (most positive). ... Brain Sentiment Indicator (BSI) uses proprietary Natural Language Processing strategies to monitor public financial news for over 10.000 global stocks

Availability

Yearly subscription

Features

Based on Stock Market Data

Global geo coverage

4 years of past data available

Fits 4 use cases

Includes 10K stocks covered

by Goldbaum

It also includes basic ESG/SRI data or corporate actions data such as dividend or coupon amounts (cash/stock distributions), split ratios for ... Our service provides datasets and measures based on NAV/CVs, shares, market closing levels, volumes and corporate actions data such as dividend

Availability

Monthly subscription

Yearly subscription

One-off purchase

Usage Based

Features

Based on ETF Data

Global geo coverage

10 years of past data available

Fits 5 use cases

Includes 3K - 4K Financial security identification number (ISIN), 7.5K - 100K Financial security identification number (Exchange Symbol, CUSIP, WKN, SEDOL), and 1 - 240 Months of Historical Time Series (Rolling)

Has 100% Data Accuracy, 100% Analytics Accuracy, 100% System-ready, and 100% End-of-day data released as exchanges and providers do (no lags)

by Facteus

, type and volume, not just general trends • Insight into Millenial, Gen Z, and the Underbanked market segments that are underrepresented in ... other transaction data sets • Delve into more transactions for deeper insights using synthetic data, which allows 100% data rights while retaining

Features

Based on Stock Market Data

by Exchange Data International

Exchange Data International provides short interest data for a number of global markets. ... Short interest is a market- sentiment indicator that tells whether investors think a stock’s price is likely to fall.

Availability

One-off purchase

Monthly subscription

Yearly subscription

Usage Based

Features

Based on Derivatives Data

Global geo coverage

by Accern

Accern’s Public News & Blogs datasets include 5 years of historical data for backtesting. ... Streaming data is available via resftul API and is available intraday, daily, weekly, etc. based on the clients preferred method.

Features

Based on Stock Market Data

by FactSquared

FactSquared Analyze offers unique data-driven insights into what public figures are – and aren’t – saying in their public comments on market-moving ... 12,000 earnings calls 1,400 Congressional hearings 3,500 Executive branch Tweets CEO and Analyst commentary on 3,000 publicly-traded stocks

Features

Based on Stock Market Data

Top Stock Market Data Providers, Vendors, and Companies

Find the top Stock Market Data aggregators, suppliers, and firms.

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Data Finder

Short Trends

United States of America
Short Trends aggregates all transactions marked as short sales in US Equity Markets and provides analytics to institutional investors and corporate officers. KEY METRICS Observed Short Volume...

dxFeed

Germany
dxFeed is a data provider offering Stock Market Data, Corporate Actions Data, OTC Data, and Forex Data. They are headquartered in Germany.

Brain Company

Italy
BRAIN is a Research Company that creates proprietary datasets and algorithms for investment strategies, combining experience on financial markets with strong competences in Statistics, Machine Lear...

Danel Capital

Spain
We offer a daily global AI score from 1 to 10 for each company based on the probability of outperforming the market in 30 days. We use Machine Learning and Big Data to provide these scores. We use ...

280first

United States of America
280first is a data provider offering Stock Market Data and Alternative Data. They are headquartered in United States of America.

xignite

United States of America
xignite is a data provider offering Bond Data, Corporate Actions Data, Bond Pricing Data, Fixed Income Data, Mutual Funds Data, ETF Data, Indices Data, Swaps Data, Futures Price Data, Fixed Income ...

Quandl

Canada
Quandl is a data provider offering Corporate Actions Data, Bond Pricing Data, Commodity Data, Mutual Funds Data, ETF Data, Swaps Data, Futures Price Data, Credit Default Swap (CDS) Data, Futures Da...

Intrinio

United States of America
Intrinio is a data provider offering Corporate Actions Data, Stock Price Data, Stock Fundamental Data, Fixed Income Reference Data, Stock Market Data, and Alternative Data. They are headquartered i...

Bloomberg

United States of America
Bloomberg is a data provider offering Automotive Data, Corporate Actions Data, Securities Reference Data, Bond Pricing Data, Commodity Data, Fixed Income Data, ETF Data, Private Equity Data, Indice...

The Ultimate Guide to Stock Market Data 2020

Learn everything about Stock Market Data. Understand data sources, popular use cases, and data quality.

The stock market is populated by a myriad of different industries, from agriculture to esports. The financial assets and instruments of a given market or company can fluctuate in value hugely and at irregular intervals. If you’re able to pre-empt what and when these changes might be, then there is profit to be made. The global stock market gained $17 trillion in value in 2019 - so it’s nothing short of a gold mine

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Whatever your involvement with the stock market, it’s unlikely you’re accessing its full potential for profit unless you have data on your side. With access to the right financial and stock market data, you can make informed judgements about which stocks to buy and sell to yield the most profit.

In Datarade’s Ultimate Guide to financial and stock market data, we’ll tell you all you need to know about the ins and outs of stock market data and how you can utilize it most effectively.

What is financial and stock market data?

Financial and stock market data is data which tells you about the assets - so stocks, shares and derivatives - of various markets and companies across the world. As a data category, it’s commonly separated into pre-trade and post-trade data.

Pre-trade data will tell you about the bid/ask price of a particular asset. This is helpful when it comes to analytics, meaning you can enter the bidding process with a clear understanding of the asset’s value based on historical trends.

Post-trade data will tell you about the transaction which took place when an asset was sold, including its last trade price. It can also include other details about the trades that are made in any particular segment of the stock market.

Once you have access to the pre- and post-trade data relevant to the industry you’re interested in, you can make intelligent stock market trading decisions based on your deepened knowledge.

The Importance of Financial and Stock Market Data

If you’re a trader or investor, you’ll be well aware of the vast variety of companies and industries which offer up shares in the stock market today, and this number is only growing. Financial companies, automotive companies, banking companies, software companies - they all represent trading opportunities which could deliver you a huge profit.

To determine the value of one share over the other, you need access to an abundance of information which tells you about how much a company is worth in simple financial terms and the speculative value of the shares.

We know that financial and stock market data is vital for any trader or investor to thrive. However, certain attributes of this data may be more important to you than others, depending on the analytics you need and the decisions you want to make.

What are the attributes of financial and stock market data?

The most common attributes of financial and stock market data are to do with bidding, trading and financial ratios. Let’s look at each of these in more detail:


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Bidding Attributes

The bidding attributes of a financial and stock market dataset can be the most recent bids, or the average bids for a particular time period. These will vary between data providers.
In general, however, the bidding attributes consist of:

Bid Price – Bid price is the maximum price at which the investor or trader is willing to buy a particular stock, share or derivative.

Ask Price – The ask price is the minimum price at which the seller agrees to sell any particular asset.

Trading Attributes

Trading attributes are the attributes which will tell you about what happened during a given trading window. Generally, these attributes can include:

Price of Trade – Price of trade is calculated by dividing the sum of all the trades that are made during a particular trading window , with the number of trades. It’s considered the average price of the trade.

Time of Trade – The times at which a particular trade occurs can be very valuable to an intraday trader. These details tell you how the price of an asset fluctuates throughout the day.

Ticker Symbols:

Stock exchanges use abbreviated names of the stocks and shares up for trading instead of their full names. This shortened version is called the ‘ticker symbol’. A financial and stock market database can list the ticker symbols for various assets of interest.

Total Revenue – Total revenue can tell you about how much a company earned in a particular period of time.

Total Liabilities – Total liabilities will tell you about how much the company owes to public investors or to other firms at a given time.

Financial Ratios

Financial ratios are useful for analyzing averages and understanding the trends which can be identified from looking at a large volume of trades. Identifying these trends looking solely at single trades can be hard if a large number of trades are made in a short time period. This is where financial ratios become the trader’s secret weapon.

The financial ratio attributes can include:

Earnings Per Share – Earnings per share can be calculated by dividing the total profits for shares divided by the number of shares traded for that asset.

Gross Margin – The gross margin of a company is derived after taking the total revenue of the company and subtracting from it the costs incurred to provide their goods and services. It can be seen as an indicator of the profit made by the company. Its value is generally presented as a percentage.

Free Cash Flow:

Free cash flow is the total cash that a company has produced by selling its goods and services, minus the cost incurred for expenditures on the operations and productions of assets.

So, the attributes of any financial and stock market dataset will probably fall into either the bidding, trading or financial ratios category. If there’s a specific data attribute that you’re looking for as a trader or investor, it’s alway good to check with your provider in advance whether they have the information you need to enhance your analytics and decisions.

Now’s a good time, then, to see how financial and stock market data providers collect this information.

How is financial and stock market data collected?

To create a financial and stock market dataset, information from various sources is collected and then compiled together. These sources include stock market research firms, news aggregators, stock exchanges themselves, public records, brokers and specialized online services. With the digitalization of market exchanges around the world, most of this information is now collected through the sources available on the internet.


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Here’s an explanation of each source through which financial and stock market data is collected, along with the method that is used to collect the information from these sources:

Stock Market Research Firms:
There are various companies and software creators that work solely in the business of analyzing and providing stock market information in the form of graphs, charts figures and statistics. A financial and stock market data provider often refers to these research firms for their information.

The information that is collected from these sources is highly accurate and analytical in nature, making the data compiled from stock market research firms incredibly useful.

Generally, the data providers partner with the market research firm to create their database. Otherwise, many stock market research firms also make this data available to a user through subscriptions of their software packages and other methods. A data provider can access the information through these channels as well. A stock market research firm in itself can be a data provider too.

News Aggregators:
When news aggregator engines are employed for financial and stock market data collection, they search the internet constantly for any news that relates to the trading of a particular asset or a range of assets.

Much of the information which comprises a financial and stock market dataset can be obtained from news outlets which discuss the conditions of the stock market, and the main movers and shakers in that market, including the relevant bidding information. It’s up to the data provider to distinguish between the content on news platforms which is factual information, and which is speculation and prediction from experts and pundits, which aren’t completely reliable sources.

Stock Exchanges:
Stock exchanges themselves publish the details about the assets that are being traded on their platform constantly. There, you’ll find detailed analytics about a given trading period, including the latest price of an asset, the closing price, the number of trades, etc. A financial and stock market data vendor complies and categorizes all of this information, and sifts it to suit your needs.

Public Records:
Exchanges often file public documents that provide a crucial insight into trading activity. A good financial and stock market data provider will consult these documents when compiling their dataset. These documents can contain information which has been provided due to regulatory measures.

For example, SEC filings need an exchange to disclose financial information about the trades that were made for a number of assets. Such information makes for an accurate and detailed source of financial and stock market data.

Some public records are freely available on the internet for downloading, however many require to visit the office physically to collect the records. A financial and stock market data provider, on the other hand, has all of the necessary documents in one place, fully automated and accessible whenever you need it.

Expert Opinions:
Stock market experts can provide as valuable information as the stock market facts can. The opinion collected from stock market experts can be speculative in nature, and can talk about the future trends that could occur.

The accuracy of this information is not as much as other sources due to its speculative nature. However, due to their vast experience in the fields, the information collected from the experts can help in making better trade decisions.

Brokers:
Most traders don’t trade on an exchange personally. Instead, they employ brokers who do the trading for them. There are many popular brokers that have a vast number of clients which include large scale firms.

A data provider can get valuable information by collecting it through these brokers. However, the quality of information provided by brokers can vary hugely. Some provide impartial, data-supported insights; others are simply speculative sources.

Like with news aggregators, it’s up to the data provider to verify that the sources and methods of their data is verifiable - in the sense that the data derives from raw statistics, not the predictions of one individual.

Dedicated Online Services:
There are several online services such as Google finance which specifically provide information related to the financial and stock market data. The data provider can directly use these services to fill in the gaps in their database, so that the financial and stock market data you’ll receive is as detailed and scalable as possible.

The information that is collected from these sources is format specific to the sources themselves. Due to this, the data vendors first format this information internally.

The information is compiled in a consistent format that makes it easier to analyze and understand. Any errors encountered are corrected during this phase.

Looking at these sources of financial and stock market data, we’ve come across several factors which can influence the quality of the data collected by the provider. With this in mind, let’s look at how you can be sure that your data provider is going to the adequate lengths to ensure that their data is high quality.

How to assess the quality of financial and stock market data?

The key to ensuring that the financial and stock market data you receive from a data vendor is high quality is to verify their sources and collection method, and the data you’re presented with as a result of this collection. This verification process means you’ll have to consider authenticity, reliability, impartiality, recency, precision, and relevance. All of these factors come into play and dictate whether a vendor’s financial and stock market data is high quality or not. In simple terms, the better the quality of a data is, the more it will be of value to you, however you plan to utilize it:


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Authenticity:
First things first, it’s essential to verify that the financial and stock market data that you are thinking of acquiring is actually authentic. This means that the data is based on facts and figures, and not on opinions from lesser known market experts.

Any data that comes from such inauthentic sources should be avoided, and a good data provider will be able to authenticate any data which comes from an individual stock market commentator with solid numbers.

Reliability:
For you to be able to use your financial and stock market data to make better investment decisions, you need to be sure that you can rely on what it’s telling you.

The more reliable the data provider, the more reliable the data; therefore it’s alway sensible to read testimonials and reviews left by customers who have bought financial and stock market data from the vendor in question. If previous customers do not report good results from the dataset, or that the provider was problematic, then you should re-consider before engaging further with that provider.

Impartiality:
In the financial and stock market field, the losses incurred by one trader may add to the profits of another. Therefore, you need to make sure that the data you’re acquiring is totally impartial and will not lead you to make decisions geared towards the benefit of the data provider. A good way of ensuring impartiality is to see whether your provider undergoes independent audits and has the certificates to prove this.

Furthermore, you should also make sure that the database is an evaluation of facts and figures and does not place weight on solely a few factors while disregarding the rest. Comparing datasets from a range of vendors and sources can be a good method of spotting where there are gaps, and why. High-quality, impartial financial and stock market data will give you a clear, objective understanding of the financial landscape, rather than the picture the data provider may want you to see.

Recency:
The stock market is volatile: trading decisions are made seconds after events and news flashes occur. Therefore, it is important to have the most recent information at hand. When selecting your financial and stock market data vendor, it’s vital that they can ensure you’ll receive the latest information about real-time trades and values.

A delay in this information could mean that by the time you analyse the data and make a decision, the rest of the traders have already acted upon it, and the opportunity to invest or sell has gone. This can lead to losses and unutilized profits for traders and investors. If a vendor can offer you an automated, real-time stream of financial and stock market data, you can be sure you’re working with the most up-to-date information.

Relevance:
As we’ve seen, there are various types of assets that are traded on the market - stocks, shares and derivatives. And offering these assets are dozens of industries, made up of hundreds of companies. With so much financial and stock market data out there, it’s important to check that your data provider can give you the information about the field you’re interested in. With relevancy, quality becomes entirely dependent on your needs as a trader or investor.

Just because a vendor’s data is considered high quality in terms of its precision, impartiality and so on, if it doesn’t have good focus in the information you personally need, then it might not be the right partner for you.

Steps to ensure you acquire high-quality financial and stock market data

Whatever the quality aspect you’re trying to ascertain, it’s always a good idea to ask your prospective financial and stock market data provider to provide you with a data sample before you buy data from them.

This data sample should then be processed by you or your analytics department to make sure that it meets 1) the standard quality parameters and 2) your specific needs exactly.

Here are Datarade’s steps to ensuring financial and stock market data quality:

Step 1: Identify the quality parameters that are important for you:
Organise which quality aspect is most important for you. For example, if you’re an intraday trader, precision is indispensable; otherwise, other aspects may take priority. Similarly, traders and investors place varying degrees of importance on different quality parameters depending on whether they plan to use their financial and stock market data for long or short term gain.

Step 2: Evaluate the sources of the data provider:
As we’ve already discussed, where your provider gets their information from greatly affects the quality of their financial and stock market data. Only if they can prove that they use verifiable and trustworthy sources should you buy data from them.

Step 3: Apply Data Testing:
This is where a data sample comes into its own. If a vendor’s financial and stock market data sample doesn’t bring you successful results, then it’s probably wise to look elsewhere. And if they aren’t willing to offer you a sample model, that might be an indicator that you should shop around, more, too!

Step 4: Verify previous customer experiences and independent audits:
If the customer experiences for your prospective financial and stock market data provider are widely positive, and if there are lots of these reviews, it suggests that the data is consistently reliable. Even more reliable than reviews are the independent audits which data providers can agree to partake in to ensure that their data meets quality standards.

Vendors will have certificates if they’ve been audited - and those that do are usually a safe bet when it comes to impartiality and accuracy.

If your data provider meets the requirements of these steps, then you can be sure that you’re using the most effective tool possible to make the wisest trade and investment decisions. But what do these decisions actually entail? Let’s see some of the many data-driven applications of financial and stock market data.

Who is using financial and stock market data?

Although we’ve mainly been talking about how financial and stock market data is used by traders and investors, here are numerous professions that make the use of this data type to improve their analysis and decision-making:


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Traders and Investors:
Financial and stock market data is of immense importance to traders.

While in the stock market there can be no guarantee of trade success, financial and stock market data can help you make calculated, low-risk decisions.
Intraday traders make use of financial and stock market data at minute intervals to assess which quick decisions need to be taken. They can also analyze how the price of a commodity tends to vary throughout the day.

More generally, traders can make use of long term financial and stock market data to analyze the trends that are emerging in the market over the last few days. They can also refer to older data to verify historic trends which can help them make more informed decisions in the present.

Investors:
For stock market investors, it’s their own money at stake. Investors are generally looking for placing their money in a particular asset and holding it for the long run. So it’s in their best interest to minimize the risk of losing out by making data-informed decisions. Being able to predict whether an asset or instrument’s price will rise or fall is at the core of all strategies formulated by the investor.

Investors who begin trading in penny stocks can soon generate large profits by becoming aware of the pre-and post-trade trends which determine whether a stock is a wise investment or not. If you’re an investor, don’t treat trading stocks like a gamble which won’t always pay off – utilise data to base decisions on concrete evidence, and save time by acquiring a dataset which eliminate the need for you to carry out the research yourself.

Brokers:
The breadth and depth of financial and stock market data can be dizzying. To demystify this data type, stock brokers are often hired by traders and investors to select which data is relevant to the investor and their preferred industry.

The broker is responsible for identifying potentially profitable markets and advising their client accordingly. Because brokers are mostly paid on commission, it’s important that their stock price predictions are as reliable as possible. The greater the client’s profit, the more the broker earns in commission. So for brokers, high-quality financial and stock market data data-driven is of twofold significance. Firstly, to make commission for their services. Secondly, to establish themselves as trustworthy sources of advice for potential clients.

Market Research Agencies:
Very often, traders and investors who are trading without brokers don’t enter the financial and stock market data themselves. Instead, they work with market research agencies, who use financial and stock market data to do their analytics. At times, this data is used by agencies which do not assist the clients one on one. Instead, the information is provided through reports and data that can be accessed through subscriptions or through their software and services.

In-house Analysts:
Analysts forecast how the stock market might change in future and pass this information on to investors and traders, who hire them to do the necessary research for them.

The data used to predict stock prices should not be just consider historical trends, but factor in future events which could alter the state of the value of markets and industries globally. When analysts enrich their charts and patterns with this in mind, their predictions become more accurate. Their predictions influence people from all fields, from the Wall Street broker, to the everyday consumer concerned with saving money on commodities like petrol and groceries.

Analysts become successful as the frequency that their predictions come true increases - and for this to happen, they must be able to access the right financial and stock market data.

What is financial and stock market data used for?

As we’ve just seen, financial and stock market data has its uses in a number of professions: traders, investors, stock market brokers, or analysts. But how exactly are these people using this data? Here are just some of the use case of financial and stock market data:

Predictive Analysis:
Predictive analysis means predicting how an asset’s value could change in the future. The value of an asset is based upon a lot of factors, and it can fluctuate on a minute by minute basis.

Having an idea whether the value of a stock market asset will rise or fall can tell when you’re set to make a profit or a loss.

Further, financial and stock market data also tells you about the number of trades that you will need to make in order to meet your profit margin (or maximize it).

Charts:
Financial and stock market data is also used to make charts, which are the backbone of stock market trading around the world. Charts help investors and traders have a clear, physical means of conceptualizing the global stock market in all its complexity.

Most financial and stock market decisions are based on historical trends.

These trends can be seen most clearly when they’re depicted on a chart, which shows you exactly how an asset has increased or decreased in value, with different shapes and graphs favoured by certain analysts.

Enter and Exit Decisions:
Stock market traders and investors are constantly looking for assets to trade or invest in. Financial and stock market data can predict the bid prices of an asset, showing you the asset’s value and its how it’s expected to perform in future. Based on this bid price, you can decide to enter or exit trading.

Timing also comes into play - financial and stock market data can tell you not just whether to enter or exit a trade, but when, in order for you to make the most profit from your trading decisions.

How is financial and stock market data priced?

There is no fixed price or model of financial and stock market data. The price depends on the data provider in question and the products they offer, as well as your needs as a data buyer.

Generally, there are three common pricing models that are available when it comes to financial and stock market data. These include:

Subscription Model:

You can get financial and stock market data from various vendors with a regular subscription model. With this structure, you have to pay a fee to the data provider for their data at regular intervals.

The benefit of the subscription model is that to retain their customers, data providers update the data regularly. Therefore, you don’t have to worry about getting outdated data.

The disadvantage of the subscription model is that you have to pay the data provider for continued use of their data. Therefore, you don’t technically own the data, and so must pay so that you’re allowed to use it.

One-time License Fee:

With a one time license fee, you only have to pay for the financial and stock market data once. After that, the data is free for you to use. However, the one time payment is substantially larger than the monthly subscription fee.

The advantage of the one time license fee is that it leads to savings for you for long term usage.

Such a pricing model is more suitable for use cases where you are aiming to analyse historical data in order to create predictions about the future.

Customized Solutions:

Many data vendors also offer tailored solutions to their clients that can match their needs exactly. These solutions can include a mix of the subscription model and a one time fee. For example, the provider could give you large batches of data with longer times between updates than you’d usually get from a subscription model.

All the pricing models are popular amongst data buyers - which one you opt for depends entirely on your needs. However, it’s worth keeping in mind that, where the financial and stock market is concerned, decisions are often made on the latest figures, so keeping your data updated as often as possible is crucial

Conclusion

We hope we’ve told you all there is to know about how to go about buying the financial and stock market data which will lead to more accurate predictions and wiser trade decisions.

Simply put, whether you’re an investor, analyst or broker, or new to the stock market completely, it’s clear that the most successful players see data as their trump card.

Take a look at Datarade’s top financial and stock market data providers to see how you can access data-driven solutions which will turn a stock market gamble into a viable investment.

Categories Related to Stock Market Data

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Popular Stock Market Data Use Cases

Find out the most common applications of Stock Market Data.

Predictive analytics Algorithmic Trading Investing Trading Risk Management Private Equity (PE) Investment Banking Portfolio Optimization