#HashFinance Help

• Step One: All day, every day, millions of tweets on thousands of stocks are parsed to identify the most relevant commentary and ignore the rest.
• Step Two: Using some fairly sophisticated data science – like SMACD™, the social media moving average convergence/divergence (pronounced smack-dee) – the real-time social media conversation is compared to historical patterns.
• Step Three: Stocks experiencing an unusual spike (or drop-off) in volume or intensity of tweets are flagged.
• Step Four: After the machines generate a list of media-impacted stocks, humans (recovering Wall Street analysts, actually) apply their know-how to the algorithmic output to surface actionable ideas. This curated list of ideas is sent to the home page every 15 minutes.