Money managers are hungry for yield. Crypto continues to outperform just about any other asset class making this nascent market a hot-bed for alternative prediction solutions. And social media algos are front and centre of that speculation.
Cryptocurrency prices, like foreign exchange, are largely decentralized providing plenty of opportunities for smart programmers to profit from the difference. But can those same programmers hone their craft to take advantage of a new form of opportunity, social media sentiment analysis? Some seem to think so.
Sentiment analysis is not particularly new, but crypto is. And retail investors don’t hang out in private meeting rooms and exclusive restaurants. They hang out on Twitter and a whole host of other digital mediums. Good-quality programmers who can tap this diamond mine are in high demand.
One report revealed that the number of blockchain job postings has soared to 4,086% since 2019. The large majority of those likely data-driven roles. According to PricewaterhouseCoopers, quantitative crypto funds significantly outperform their peers’ thanks to the analysis of online crypto chatter.
Coders with machine learning skills are particularly highly sought after. One Taiwan-based expert even used crowdsourcing to build an analysis algorithm. Mark Howard explains:
“It’s pretty hot right now, any fund that’s worth their salt, they are devoting some of their resources and allocation for sentiment analysis.”
Fake News and Paid Views
If you were thinking about jumping on the bandwagon, realize that sentiment analysis is not the holy grail of all crypto predictive analysis. At least not yet. Platforms like Twitter, Facebook, and Reddit are still plagued with bag-holders and marketers looking for every chance to punt their own coins.