How FreightWaves Uses Social And Digital Signals To Stay Informed

Wall Street trading firms use digital signals to identify corporate actions or anticipate Black Swan events that could create major volatility in the financial markets.

A sudden interest in a topic suggests something interesting may be happening with the company, such as M&A, bankruptcy, lawsuit, strike or a related news event.

Often, the digital signals are triggered prior to a news release and are caused by a sudden change in digital activity around a specific topic, including web searches, video streams, Tweets with specific terms, or digital media news references.

Think of it as YouTube streaming old videos by insiders who know a specific company is about to buy them, or Google searches by union leaders who are planning a company strike and are trying to find information on the firm.

Another example might be a sudden burst in search activity or website clicks that suggest the company is going bankrupt.

Traders use this intelligence to gain enormous advantages over market participants who were unaware of the heightened activity. Those in the know can execute a trade often before the information is released by the financial media or insiders. Speed is an enormous advantage because if traders can take a position in the stock prior to everyone else becoming aware, they stand to make a lot of money.

In building FreightWaves and SONAR, we were inspired by two of Michael Lewis' hits: Flash Boys and MoneyBall. In these books, Lewis talks about how much speed and access to data modelling provides players who use it to drive decisions and actions.

Having access to information and context sooner than other participants can enable a logistics provider to offer more dependable on-time services, identify market risks and enjoy better market pricing than competitors offer.

Plus, with supply-chains under constant attack from geo-political, economic and climate risks, having information as close to real-time as possible gives logistics providers an edge over the competition in responding to these risks.

We built digital signals for transportation and logistics to provide our journalists and analytics team with advanced alerts of events. We focused on 500 topics that are relevant for freight transportation and 200 companies that are significant enough so that if something happens to influence these events, it will have a market impact. The alerts have paid off for our team, especially our journalists.

Digital Signals in Tree Map

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