Screener

The screener lets you filter Blave's standardized data by strategy logic and market view to find matching tokens in one click. It ships with 4 reference filters (2 long, 2 short) and supports custom conditions (e.g. holder concentration change, whale activity, unusual movement).

Most Blave data is standardized: values above 0 mean above historical average, below 0 mean below average \u2014 comparable across tokens and time. Screener results narrow your search statistically; the tokens it surfaces still need technical or macro confirmation before you trade \u2014 this isn't a buy/sell signal.

How much time do you spend wiring APIs, pulling data, and debugging — instead of thinking about strategy? Describe the signal, and Blave Agent researches and backtests it.