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Proprietary Market Data: Best Proprietary Market Datasets & Databases

What is Proprietary Market Data?

Find the best Proprietary Market Data feed. Source proprietary market data vendors and perform fast data provider comparison. Buy historical proprietary market datasets and APIs for financial market intelligence. Learn more

Recommended Proprietary Market Data Products

12 Results

Fundamental Data and Financial Statement API

We provide comprehensive Fundamental Data and Financial Statement API in JSON and CSV format. ... We also cover Market Capitalization, News, Company Statement, Key Metrics, Financial ratios.
Available for 6 countries
30 years of historical data
Starts at
$99$89.10 / month
10% Datarade discount
Free sample available

Hong Kong life insurers agency channel benchmarks: headcount, recruitment, poaching, retention, experience levels - Life Insurance Data by PIFSI

We use Chinese life insurance agent registration data to compile monthly benchmarks for ALL life insurance
Available for 1 countries
10 years of historical data
Pricing available upon request
Free sample preview

Chinese life insurers agency channel benchmarks: headcount, recruitment, poaching, retention, experience levels - Life Insurance Data by PIFSI

We use Chinese life insurance agent registration data to compile monthly benchmarks for ALL life insurance
Available for 1 countries
5 years of historical data
Pricing available upon request
Free sample preview

RIWI Applications | Human Sentiment Data Global Coverage Global (220 countries)

by RIWI
Leveraging RIWI technology for the most accurate and predictive data. ... RIWI collects accurate and predictive human consumer sentiment data from any country in the world (including
Available for 248 countries
Available Pricing:
One-off purchase
Monthly License
Yearly License
Free sample available
10% revenue share

Gamma Exposure (GEX) measurement of US companies and indexes - tickerized by Trading Volatility

Our proprietary Skew-Adjusted Gamma Exposure measurements make adjustments to Naive GEX calculations ... When Market Makers carry substantial negative gamma a security will often “over-react” to fundamental
Available for 2 countries
1.15K Securities
24 months of historical data
Available Pricing:
Monthly License
Yearly License
Usage-based
Free sample available

Scheduled Commercial Banks of India Ratings for Operational Efficiency & Business Quality

industry trend independent The rating cover all Scheduled Commercial Banks in India that submit financial data
Available for 1 countries
582 records
6 years of historical data
100% Scheduled Commercial Banks in India
Starts at
$10,000 / purchase
5% Datarade discount
Free sample available
5% revenue share

Chinese general (P&C) insurers agency channel benchmarks: headcount, recruitment, poaching, retention, experience levels

We use Chinese general insurance agent registration data to compile monthly benchmarks for ALL life insurance
Available for 1 countries
5 years of historical data
Pricing available upon request

37AUSTEN's Future Movement Algorithm: Real-Time Directional Price Forecasting

to proprietary data. ... and market risk forecasts.
Available for 249 countries
1K Maximum Data Periods Analysed.
5 years of historical data
Available Pricing:
Yearly License
Free sample available

Ziggma delivers white-labeled off-the-shelf UI/UX solutions for online brokers to deploy innovative tools quickly and maximize customer lifetime value

by Ziggma
to market in a quick and efficient manner. ... The market of self-directed online investing is experiencing very strong growth.
Available for 52 countries
Pricing available upon request

Option Skew and price compression for stocks and indexes - tickerized by Trading Volatility

compression, and option put/call ratios for evaluation of sentiment within the U.S. equity options market ... Our expanding data set currently consists of daily updates for over 1,100 securities from American stock
Available for 2 countries
1.15K Securities
24 months of historical data
Pricing available upon request
Free sample available

More Proprietary Market Data Products

Discover related proprietary market data products.
6 countries covered
30 years of historical data
We provide comprehensive Fundamental Data and Financial Statement API in JSON and CSV format. You can access Income Statement, Balance Sheet Statement and C...
1K Maximum Data Periods Analysed.
249 countries covered
5 years of historical data
The Future Movement Algorithm provides directional insight into an asset's price movement one period ahead. It also provides a market risk forecast which ind...
1.15K Securities
2 countries covered
24 months of historical data
Trading Volatility's daily measurements consist of Naive Gamma Exposure and Skew-Adjusted Gamma Exposure for understanding of option-driven trading flows in ...
330 Securities
2 countries covered
3 years of historical data
Trading Volatility's daily Dark Pool trading measurements provide a view into off-exchange buying activity in U.S. equity markets. Our expanding data set ...
248 countries covered
RIWI collects accurate and predictive human consumer sentiment data from any country in the world (including China). Use RIWI's custom applications to help s...
582 records
100% Scheduled Commercial Banks in India
India covered
Ratings & Rankings of India’s Banks for Operational Efficiency and Business Quality that measure the operational performance levels of all Scheduled Commerci...
6 countries covered
30 years of historical data
We provide comprehensive Fundamental Data and Financial Statement API in JSON and CSV format. You can access Income Statement, Balance Sheet Statement and C...
582 records
100% Scheduled Commercial Banks in India
India covered
Ratings & Rankings of India’s Banks for Operational Efficiency and Business Quality that measure the operational performance levels of all Scheduled Commerci...
1K Maximum Data Periods Analysed.
249 countries covered
5 years of historical data
This algorithm analyses high-frequency time series data; e.g. tick data. It provides a forecast for an asset's directional price movement to be applied over ...
1.15K Securities
2 countries covered
24 months of historical data
Trading Volatility's daily measurements of options skew, price compression, and option put/call ratios for evaluation of sentiment within the U.S. equity opt...
1K Maximum Data Periods Analysed.
249 countries covered
5 years of historical data
The Future Movement Algorithm provides directional insight into an asset's price movement one period ahead. It also provides a market risk forecast which ind...
52 countries covered
Ziggma's white-labeled off-the-shelf UI/UX solutions help online brokers bring innovative tools and data to market in a quick and efficient manner. By provid...
datarade.ai - Financial Modeling Prep profile banner
Financial Modeling Prep
Based in France
Financial Modeling Prep
We provide comprehensive Fundamental Data and Financial Statement API in JSON and CSV format. You can access Income Statement, Balance Sheet Statement and Ca...
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37AUSTEN
Based in United Kingdom
37AUSTEN
37AUSTEN is a SAAS startup focused on financial risk management. We have created a suite of forecasting algorithms that predict market volatility in real-time.
datarade.ai - RIWI profile banner
RIWI
Based in Canada
RIWI
RIWI is a global technology company that provides access to fast-changing consumer and citizen sentiment in any country in the world, including China. Our pl...
229
Countries and Territories
80
Languages
1.6
Billion Respondents +
datarade.ai - Ziggma profile banner
Ziggma
Based in USA
Ziggma
Ziggma’s mission is to take the complexity out of portfolio management and investment research. Managing one or several investment portfolios is complex and...
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Hoeg & Company
Based in USA
Hoeg & Company
Efficiency and Quality Ratings measure of how well a bank uses its resources to achieve profitable results and build a quality business portfolio. The evalua...
99%
Coverage of U.S. Banks
5,000+
Number of Banks Rated
43
Number of Quarters of Ratings
datarade.ai - Trading Volatility profile banner
Trading Volatility
Based in USA
Trading Volatility
We process complex options data to provide profound insight into flows that influence movements of stocks. Our proprietary Gamma Exposure measurements, Dark ...

The Ultimate Guide to Proprietary Market Data 2023

Learn about proprietary market data analytics, sources, and collection.

What is Proprietary Market Data?

Proprietary trading is when a commercial bank or financial firm invests for direct market gain rather than trading on their client’s behalf to earn commission. The key here is that the financial institution is trading for personal profit rather than for their clients. Proprietary market data is intelligence about proprietary trading and the proprietary trading market. Businesses like to have access to proprietary market data so they can analyze trades and make well-informed investments. This is key because the proprietary trading market can generate much greater profits than when trading for commission even with a smaller investment.

How is Proprietary Market Data collected?

Proprietary market data is collected through a wide range of sources. Stock market research firms compile information about the different trading that takes place on a daily basis. The stock exchanges themselves are a main source of proprietary market data as it is here that the trades are made and the profits won. Data providers also use public records, specialized online services and brokers to aggregrate proprietary market data into one useful dataset.
As markets become increasingly digitized, much information is now stored and available online as raw market data. This is collected and used to populate the contents of a proprietary market dataset.

What are the attributes of Proprietary Market Data?

Due to the popularity of proprietary trading, data providers have developed proprietary market datasets to provide a range of different types of data. Therefore, you may find many different data points in a proprietary market dataset, including:
Real-time information - Some datasets provide real-time market data feeds across different trading venues, such as the New York Stock Exchange (NYSE) or NASDAQ.
Indices data - Index data for proprietary market datasets can include summaries, constituents and daily corporate actions data.
Historical market intelligence - This includes information about historical proprietary market details as well as post-trade analysis.
Reference data - This can be intelligence about company transaction activity or compliance risk management and provides a useful reference base for traders.

What is Proprietary Market Data used for?

Traders and businesses rely on proprietary market data to give them an insight into the current state of the stock markets. As these companies are trading on their own behalf and for their own profit, they want more than ever to have access to the most complete and informative datasets to ensure they make the best trades possible.
Proprietary market information can be used to analyze the market and recognize trends that are emerging in the market, both on a day-to-day basis and over a period of time. For this reason, many businesses look for proprietary market datasets that also provide historical intelligence.
Essentially, any person or entity who is in direct contact and making proprietary trades is likely to use proprietary market data as it gives them a key insight into the state of the stock market.

How can a user assess the quality of Proprietary Market Data?

A high quality proprietary market dataset will continue real-time and regularly updated market information. The variability of the stock market over the course of the day means that intelligence that is up to date with the latest information is essential. Historical data is equally important in a proprietary market dataset because this can be used to identify long-term market trends and highlight areas which might be more profitable than others.
Before you buy any proprietary market data, make sure to read the data provider’s reviews. Due to the wide range of data available, always ask for a data sample before purchasing to ensure that data meets your personal needs.

Where can I buy Proprietary Market Data?

Data providers and vendors listed on Datarade sell Proprietary Market Data products and samples. Popular Proprietary Market Data products and datasets available on our platform are Fundamental Data and Financial Statement API by Financial Modeling Prep, Hong Kong life insurers agency channel benchmarks: headcount, recruitment, poaching, retention, experience levels - Life Insurance Data by PIFSI by Pi Financial Services Intelligence, and Chinese life insurers agency channel benchmarks: headcount, recruitment, poaching, retention, experience levels - Life Insurance Data by PIFSI by Pi Financial Services Intelligence.

How can I get Proprietary Market Data?

You can get Proprietary Market Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Proprietary Market Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Proprietary Market Data APIs, feeds and streams to download the most up-to-date intelligence.