ASvanevik’s CEO, #Nansen , made an assessment: the AI transformations that have taken place in the programming and engineering fields over the past few years will be replayed in investment and trading.
His logic is very clear—programming is being reshaped by AI because, at its core, it is “a work that can be formalized and verified”: whether the written code can run can be confirmed by a single test, so AI can rapidly experiment, iterate, and refine. Trading has the same underlying structure: whether a strategy can make money will be answered by backtests and live trading.
This means AI’s penetration into trading won’t stop at shallow assistance like “recommending a few coins” for you—it will directly move into the entire workflow: strategy generation, execution, and risk control.
The implications for ordinary investors may not be very comfortable. When the barrier to strategy R&D is lowered significantly, the source of excess returns will shift from “information edge and feel” to “data and computing power.”
The gap between retail investors and institutions may be redefined by this variable.
His logic is very clear—programming is being reshaped by AI because, at its core, it is “a work that can be formalized and verified”: whether the written code can run can be confirmed by a single test, so AI can rapidly experiment, iterate, and refine. Trading has the same underlying structure: whether a strategy can make money will be answered by backtests and live trading.
This means AI’s penetration into trading won’t stop at shallow assistance like “recommending a few coins” for you—it will directly move into the entire workflow: strategy generation, execution, and risk control.
The implications for ordinary investors may not be very comfortable. When the barrier to strategy R&D is lowered significantly, the source of excess returns will shift from “information edge and feel” to “data and computing power.”
The gap between retail investors and institutions may be redefined by this variable.