Best Proprietary Market Datasets, Databases & APIs

Find the right Proprietary Market Data: Search, preview & buy data securely via Datarade.
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13 Results

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

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

by 37AUSTEN
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

Fundamental Data and Financial Statement API

by Financial Modeling Prep
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

TovoData U.S. Neighborhood Data

by TovoData
discover: Recent comp sales Comp owner name Comp sale price Comp bed / bath Owner occupied Comp taxes Market
Available for 1 countries
Pricing available upon request

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

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

by Pi Financial Services Intelligence
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

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

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

37AUSTEN's Future Movement Group Algorithm: Real-Time Directional Forecasting for High Frequency Data

by 37AUSTEN
This data is transformed to proprietary data representing our interpretation of the asset’s price volatility ... This algorithm analyses high-frequency time series data; e.g. tick data.
Available for 249 countries
1K Maximum Data Periods Analysed.
5 years of historical data
Available Pricing:
Yearly License
Free sample available

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

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

by Pi Financial Services Intelligence
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
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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 +
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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.
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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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TovoData
Based in USA
TovoData
TovoData weaves multiple, intelligent real estate, tax and mortgage data sources into a 360-degree view of property and homeowner insight
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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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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 2022

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 RIWI Applications | Human Sentiment Data Global Coverage Global (220 countries) by RIWI, 37AUSTEN’s Future Movement Algorithm: Real-Time Directional Price Forecasting by 37AUSTEN, and Fundamental Data and Financial Statement API by Financial Modeling Prep.

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.