Quantitative Model Data | Company Data | Global Financial Data | 235K+ Sources / 3M+ Articles Daily | Quant
Verified Data Provider| # | Date |
Source |
Headline |
Summary |
Article text |
Original article url |
Redir url |
Source Depth |
Caption |
Picture URL |
Similarity |
Sitename |
||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 2 | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
| 3 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 4 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 5 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
| 6 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
| 7 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 8 | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
| 9 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| 10 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
| ... | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Date
|
String | 16/02/24 12:08 | |
|
Source
|
String | Market Wire News | |
|
Headline
|
String | SLB - Wall Street Thinks These 3 Stocks Are Hidden Gems T... | |
|
Summary
|
String | 2024-02-16 05:50:00 ET Some stocks seem to hog the lim... | |
|
Article text
|
String | After all, stocks that have been at the forefront of the ... | |
|
Original article url
|
String | https://marketwirenews.com/news-releases/wall-street-thin... | |
|
Redir url
|
String | http://redir.opoint.com/?key=RzgvpwpgjL4UKXgJI82N | |
|
Source Depth
|
Integer | 0 | |
| String | en | Language Name | |
| String | US | Country Code Alpha-2 | |
|
Caption
|
|||
|
Picture URL
|
String | https://marketwirenews.com/assets/img/stock-breaking-news... | |
|
Similarity
|
Integer | 6799442710 | |
|
Sitename
|
String | Market Wire News |
Description
Country Coverage
History
Volume
| 230,000 | Sources |
| 120 | Languages |
| 220 | Jurisdictions |
| 3 million | Articles Found Daily |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License | Not available |
| Yearly License | Available |
| Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant?
Opoint offers limited historical data and near real-time news for quantitative trading, spanning 20+ years. All data is point-in-time stamped for backtesting. Provides raw news content only; no interpretive insights or analytics. Includes LEI, FIGI,Wiki ID, PermID, CrunchBase ID for each article
What is Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant used for?
This product has 5 key use cases. Opoint recommends using the data for ESG Investing, Quantitative Investing, Alternative Investment, Sentiment Analysis, and Web Data Collection. Global businesses and organizations buy News Data from Opoint to fuel their analytics and enrichment.
Who can use Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for News Data. Get in touch with Opoint to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant go?
This product has 20 years of historical coverage. It can be delivered on a minutely, hourly, daily, and on-demand basis.
Which countries does Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Opoint is headquartered in Denmark.
How much does Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant cost?
Pricing information for Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant is available by getting in contact with Opoint. Connect with Opoint to get a quote and arrange custom pricing models based on your data requirements.
How can I get Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant?
Businesses can buy News Data from Opoint and get the data via SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, Opoint can deliver this product in .json, .xml, .csv, and .xls format.
What is the data quality of Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant?
You can compare and assess the data quality of Opoint using Datarade’s data marketplace.
What are similar products to Quantitative Model Data Company Data Global Financial Data 235K+ Sources / 3M+ Articles Daily Quant?
This product has 3 related products. These alternatives include Quantitative Model Data 3,300+ Global Issuers Datasets for Quant Models Quant-driven Portfolio Construction Quantitative Risk Management, Success.ai US Company Data Enrichment APIs 28M+ Full Company Profiles & Contact Data – Best Price & Quality Guarantee, and Global News Data Economic Data 235K+ Sources / 3M+ Articles Daily Limited Archive. You can compare the best News Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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