It's a lot more complicated than that. Even a consistent prediction will generally only give you a
small edge, and turning a small edge into real money is incredibly difficult. Just like ideas aren't worth much in startups, execution is a bottleneck on most otherwise-reasonable trading ideas.
There are a lot of problems:
- transaction costs quickly eat into your margins
- regulatory compliance requires a lot of careful work, with non-trivial penalties for mistakes
- different exchanges and countries have different rules
- trading across different timezones is difficult
- synchronizing your actions across multiple venues is incredibly hard
- you might need more leverage than you can get as an individual
- sourcing and cleaning the up-to-date data you need to actually trade on a model (vs back-testing) requires intense work and is expensive
- since your edge is probabilistic in nature, you need a particular risk tolerance (backed by enough cash to survive runs of bad luck, of course)
A lot of successful trading firms live and die more on their infrastructure and execution prowess than they do on brilliant insights and predictions. Even if your prediction or model is good, you might simply not be able to use it because you don't have access to the capital and infrastructure you'd need.
This is probably Numerai's core value proposition: they have an open system for people to submit models (ie predictions) and then use their existing infrastructure to actually execute the best ones.