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Big Data Solutions

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Introduction

The financial big-data solution provides references for investment transactions by analyzing prices, trading volume, information volume, news and social-media sentiment, and correlated events through a unique financial analysis model, thus maximizing the return on investment. The solution assists in predicting stock prices as well as industry, market and global economic-development trends. It provides credit-rating agencies with analysis of information monitoring throughout the network, integrated stock prices, trading volume, sentiment and the impact of correlated events, all of which serve to enhance credit-rating methods. The solution can be combined with a listed company's own data to improve the model's accuracy. It can reveal negative information in a timely manner to help maintain the company and brand reputation.

Features

Multi-environment Deployment

The deployment in public cloud, private cloud, and non-cloud environments is supported, in order to meet the compliance requirements of different customers for data management strategies.

Analysis of Investment Data

Prices, trading volume, information volume, news, social-media sentiment, and correlated events are analyzed, thus maximizing the return on investment.

Risk Warning

Stock prices as well as industry, market and global economic-development trends are predicted, in order to provide early warning in regard to potential financial risks.

Pooling of Multiple Information Sources

Data from government websites, financial sites, news sites, investment sites, portals, forums, post bars, and social media (WeChat, Weibo, etc.) is pooled; and financial hot spots and financial events are analyzed.

Architecture

The solution can be deployed through public cloud, private cloud, and non-cloud methods, in order to pool professional financial data, and build financial analysis models and visualized presentation methods according to user requirements.

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Applications

  • Credit Rating
  • Enrich the credit rating approaches through monitoring the whole network information and analyzing the impact of comprehensive stock price, trading volume, sentiments and the impact of correlated events.
  • Financial regulation
  • Analyze prices, trading volume, information volume, news, social-media sentiment, and correlated events through a unique financial analysis model, and provide insights into events that might undermine healthy development of the market and build an early w
  • Loan Assessment
  • Give early warnings of major events and overlay with existing risk control models for a comprehensive assessment of loan  risk through monitoring and analyzing the news events about and sentiments of the borrower.
  • Intelligent Finance
  • Revenue and cost are monitored using advanced data analysis and predictive algorithms, and content operation data is integrated to enhance the efficiency of decision-making.
  • Investment and Transaction
  • Analyze prices, trading volume, quantity of information, news and social media sentiments, related events, etc. to help make  investment and transaction decisions.
  • Investment Portfolio Management
  • Optimize asset allocation in the portfolio, reduce systematic risks, and improve returns on investment based on sentiment analysis by market, industry and asset type.

Cases

  • JoveBird intends to offer financial investment solutions powered by big data and AI. Based on a set of financial analysis models and powerful cross-language big data processing capability, it helps investors to judge stock price trend and facilitate investment strategy.
  • www.jovebird.com

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