low_time()

URL: llms-txt#low_time()

===== PAGE: https://docs.tigerdata.com/api/_hyperfunctions/candlestick_agg/intro/ =====

Perform analysis of financial asset data. These specialized hyperfunctions make it easier to write financial analysis queries that involve candlestick data.

They help you answer questions such as:

• What are the opening and closing prices of these stocks?
• When did the highest price occur for this stock?

This function group uses the [two-step aggregation][two-step-aggregation] pattern. In addition to the usual aggregate function, [candlestick_agg][candlestick_agg], it also includes the pseudo-aggregate function candlestick. candlestick_agg produces a candlestick aggregate from raw tick data, which can then be used with the accessor and rollup functions in this group. candlestick takes pre-aggregated data and transforms it into the same format that candlestick_agg produces. This allows you to use the accessors and rollups with existing candlestick data.

===== PAGE: https://docs.tigerdata.com/api/_hyperfunctions/candlestick_agg/close_time/ =====