Turnover activity ranking

Which stocks are attracting the most concentrated capital trading activity?

Volume and liquidity VOL-003 Bar Sample

Download CSV Sample JSON Specification JSON Sample as of 2026-10-16

0700.HK Tencent Holdings | Hang Seng Index | 2025-10-16 – 2026-10-16 | HKD

Highest item: Sample F: 613.55 HKD
Lowest item: Sample B: 440.47 HKD
Average: 547.17 HKD
Number of items: 8 items

Turnover activity ranking

Estimated turnover (quote currency) (Bar)

Relative to historical baseline (x)

Relative to historical baseline (x) (Line)

Event detail and data date

Estimated turnover (quote currency) and Relative to historical baseline (x) (Table)

Sample data rows

Symbol/event/scenario	Estimated turnover (quote currency)	Relative to historical baseline (x)	Data date (sample)
Sample A	556.73	1.19	2026-10-16
Sample B	440.47	1.43	2026-10-16
Sample C	583.79	2.94	2026-10-16
Sample D	523.41	0.59	2026-10-16
Sample E	612.79	0.29	2026-10-16
Sample F	613.55	0.56	2026-10-16
Sample G	509.09	0.55	2026-10-16
Sample H	537.53	1.09	2026-10-16

Source and limits

Research question

Which stocks are attracting the most concentrated capital trading activity?

Axes and units

Horizontal axis: Symbol/event/scenario
Vertical axis: Estimated turnover (quote currency)
Metric: Estimated turnover (quote currency)
Comparison metric: Relative to historical baseline (x)

Calculation method

Daily OHLCV turnover is estimated as typical price × volume and clearly labeled as approximate; multi-currency comparisons are first converted using FX. Shared turnover basis: typical price with function=splitadjusted × EOD split-adjusted volume; or volume first restored using the inverse split factor and then multiplied by the original typical price. Dividend-inclusive adjusted_close must not be used to estimate turnover.

Limitations

OHLCV cannot identify aggressive buying or selling, investor identity, tick-by-tick share distribution or true net capital inflows. Estimated turnover from daily bars is not tick-by-tick turnover. Prices, share counts, quotation units and cross-market FX must be consistent.

The plotted values are generated sample data and do not result from this calculation.

Data API requirements

EOD
FX
EXCHANGE
BULK
TECH

Data class: Derived
Complexity: Medium
Update cadence: Daily/event-triggered
Needs user-supplied input: No
Needs extra data plan: No

API names are the data groups the original specification requires, listed as methodology metadata only. This page makes no live data connection and is not connected to the live market data shown elsewhere on the site.

Source documentation

Design priority

Catalogue priority 43 of 1,000 (stage P0), a planning estimate from the original workbook.