News Sentiment Stock Alert System

The goal of this plug and play solution is to provide an interactive alert system in Dataiku that can be used for real-time measurement of news headlines’ impact on company stock price volatility.  More details on the specifics of the solution can be found on the knowledge base. This solution is only available on installed instances.

Business Overview

Traders, equity analysts and portfolio managers have to leverage an ever growing stock of information to fuel their company analysis. Of vital interest is knowing what stocks are most likely to move based on current news sentiment, what are the underlying news events driving volatility for a specific ticker, and what historical insights can be gained through systematic analysis of past news events.

Automatic anomaly detection removes the need for costly or small scale labelled datasets, avoids unfocused manual review that is costly and inefficient, and works alongside purely automatic trading responses based on news sentiment which may miss important opportunities.

An easy-to-use interface allows for immediate insights, rapid drill-down, and deeper analysis of trends, all with a few clicks. Flexible design allows for enhancement or customization to meet a team of firms specific needs.

Highlights

• Ready-to-use volatility scores at ticker-level based on news sentiment analysis.
• Immediately actionable real-time insight into ticker-level market movements.
• Comprehensive and transparent historical analysis allowing creation of more informed responses to news events.
• Easily enhanced or enriched with business-specific data sources or focus.
• Anomaly Detection & Stock Price Analytics including Principal Component Analysis (PCA).

Ready-to-use with customizable data sources

Works immediately using publicly available data (Yahoo Finance, Benzinga) and comes with pre-built connections to paid services such as EOD. Use simple web interfaces to adjust your tracked portfolio and news data sources

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Automated anomaly detection

Designed to work on a variety of data sources, the system automatically clusters stocks into relevant groups, and then evaluates anomalies within each group, ensuring that only idiosyncratic or atypical movements are highlighted: broad market movements do not swamp the model.

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Transparent design

Extensive documentation, fully open code, coupled with in-built diagnostic tools allow the user to have full confidence in each step of the process.

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Powerful insights via real-time dashboard

Achieve immediate insights, rapid drill-down, and deeper analysis of trends, all with a few clicks.

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Gain more insight via historical analysis

Investigate past anomalies, visualize price trends and anomaly points, and explore past news scoring.

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