Risklio Event-Aware Trading Insights | US Stock Sentiment & Equity Market Insights product image in hero

Risklio Event-Aware Trading Insights | US Stock Sentiment & Equity Market Insights

A dataset by Risklio
Column Sample Another one Attribute
Fashion Sports, Health 25-49 Germany
Just Another Sample Another Row
Request Free Data Sample Request Risklio Event-Aware Trading Insights | US Stock Sentiment & Equity Market Insights sample icon
Pricing available upon request
Risklio Event-Aware Trading Insights | US Stock Sentiment & Equity Market Insights 28.5M texts icon
28.5M texts
Risklio Event-Aware Trading Insights | US Stock Sentiment & Equity Market Insights USA covered icon
USA covered
Risklio Event-Aware Trading Insights | US Stock Sentiment & Equity Market Insights 5 years of historical data icon
5 years of historical data

Description

Knowledge of post-event effects provides opportunities for discrete investing activities specifically designed to capture alpha while at the same time limiting exposure to systematic risk.
Data specifically designed to be used in data analytics and algorithmic applications. Knowledge of post-event effects provides opportunities for discrete investing activities designed to capture alpha while at the same time limiting exposure to systematic risk. Data description: -Security-specific static data are available for different levels of effect aggregation. -Named entity recognition and topic modelling is used to extract topical relevance. -Topical relevance is quantified and individual keys extracted. Results for other related securities / entities are compared for overlay effects (e.g. market-wide event) Existing event date information is used to extract non-surprising, announced events (e.g. earnings call). -Associated effects are measured with respect to time and price impact -Effect indicators provide insights into the duration and severity of individual events -Risklio event-driven insights is the high-resolution smart data featured on www.risk.finance. Data Includes: - Russell 1000 - Flexible event classification based on AI to deal with previously unseen events - information is used for mapping: Figi, CompositeFigi, LEI, permid, ISIN, sic Data Criteria: - Metadata - Event causes - Event effects Methodology: Risklio designed a NLP- based classification methodology for surprise events. Utilising a conflicting value framework in a Bayesian setting allows topic categories to be specified flexibly in a quantitatively robust approach. You can use Risklio Data for: - predicting the effect of jumps on asset prices for alpha generation and risk management - designing tactical and event-driven trading strategies - improving equity market research - designing dynamic bottom-up stress test scenarios

Geography

North America (1)
United States of America

History

5 years of historical data

Volume

5 years
28.5 million texts
1.2 million events

Pricing

Free sample available
Risklio has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Frequency
daily
Format
.json
.csv

Use Cases

Categories

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Frequently asked questions

What is Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights?

Knowledge of post-event effects provides opportunities for discrete investing activities specifically designed to capture alpha while at the same time limiting exposure to systematic risk.

What is Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights used for?

This product has 5 key use cases. Risklio recommends using the data for Algorithmic Trading, Stock Market Predictions, Risk Management, Asset Management, and Asset Tracking. Global businesses and organizations buy Alternative Data from Risklio to fuel their analytics and enrichment.

Who can use Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Alternative Data. Get in touch with Risklio to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights go?

This Dataset / Database / Data Feed / Data API has 5 years of historical coverage. It can be delivered on a daily basis.

Which countries does Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights cover?

This product includes data covering 1 country like USA. Risklio is headquartered in Germany.

How much does Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights cost?

Pricing information for Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights is available by getting in contact with Risklio. Connect with Risklio to get a quote and arrange custom pricing models based on your data requirements.

How can I get Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights?

Businesses can buy Alternative Data from Risklio and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Risklio can deliver this product in .json and .csv format.

What is the data quality of Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights?

You can compare and assess the data quality of Risklio using Datarade’s data marketplace.

What are similar products to Risklio Event-Aware Trading Insights US Stock Sentiment & Equity Market Insights?

This Dataset / Database / Data Feed / Data API has 3 related products. These alternatives include B2B Marketing and Sales Data & Insights, Venturecap Insights www.venturecapinsights.com, and Knowsis Insights Dashboard: Risk Alerts, Aggregated News Feed & Social Sentiment Data. ESG and Listed Equities, Macro topics, Alerts and Anomalies. You can compare the best Alternative Data providers and products via Datarade’s data marketplace and get the right data for your use case.