3 ms·

In chaotic systems (like weather or stock market) there is a fair share of randomness, which cannot be predicted no matter what approach we use.

• walrus1066 10y ago
  Not to mention huge externalities. In the case of stock markets, things like financial crises, central bank decisions, political events (brexit etc).
  • andruby 10y ago
    Some of those externalities could be predicted by deep learning (the crash of the housing market for example)
    • elcct 10y ago
      I think these could have easily be predicted using common sense ;)