Quant finance has been doing this stuff for years, high frequency or not, market or non-market data, deep learning or not. In general, quant finance did (big data, cloud orchestration, machine learning, neural nets, realtime web app stuff, etc) before it was cool.
Sentiment fund is doing nothing new, and will probably find that 'just deep learn the markets' won't work while getting crushed on non-deep learning things like simulation, portfolio optimizatio, and execution cost.
Also, there are already firms that very reliably make vast returns on predicting price moces in the market.
Really this blog post is uninformed bloviating on trading and financial markets.
Sentiment fund is doing nothing new, and will probably find that 'just deep learn the markets' won't work while getting crushed on non-deep learning things like simulation, portfolio optimizatio, and execution cost.
Also, there are already firms that very reliably make vast returns on predicting price moces in the market.
Really this blog post is uninformed bloviating on trading and financial markets.