From a market question to a research-ready strategy.
Install AlgoRover in your AI workspace, describe the market, risk limit and evidence you need, then compare structured candidates without learning a quant interface first.
The goal is not to make chat look intelligent. It is to turn an ambiguous request into explicit, reviewable research constraints.
State the asset, timeframe, risk limit and research goal in plain language.
AlgoRover identifies missing assumptions before searching the strategy library.
Candidates arrive with consistent metrics, evidence links and known limitations.
Open the evidence, change a constraint or send a candidate to stress testing.
What this cannot decide for you
Natural language is the input layer, not a substitute for evidence. Every recommendation remains inspectable before it moves toward execution.