Market Table

Market Table Canvas

Use market-table with scenario quotes. Never put quote rows or invented market data directly in config. Choose exactly one of the following data paths.

Fixed presets

Pass one of these exact English strings; do not create other preset names:

• a-share-top-gainers: A-share gainers Top 20
• a-share-top-losers: A-share losers Top 20
• a-share-most-active: A-share turnover amount Top 20
• a-share-highest-turnover-rate: A-share turnover-rate Top 20
• a-share-largest-market-cap: A-share market-cap Top 20

canvas_spawn({
  kind: 'market-table',
  scenario: 'quotes',
  config: JSON.stringify({ preset: 'a-share-top-gainers' }),
});

Local FTShare result

For custom filters, boards, sorting, or result sizes, call the FTShare stock-daec-stocks Skill through Python and save its stdout JSON to a local file. Do not copy the returned items into canvas_spawn. Pass only the absolute file path:

python <FTSHARE_RUN_PY> stock-daec-stocks \
  --board xshg --filter 'name.contains("银行")' \
  --page 1 --page_size 50 --order_by "change_rate desc" \
  > /absolute/workspace/path/bank-quotes.json

canvas_spawn({
  kind: 'market-table',
  scenario: 'quotes',
  config: JSON.stringify({
    data_file: '/absolute/workspace/path/bank-quotes.json',
  }),
});

dataFile is an alias of data_file; never provide both. The file must be an FTShare-style object with a non-empty items array and must not exceed 16 MiB. Prefer a bounded page over all 5000+ stocks. On config/data failure, repair the file or config and update the same Canvas ID.

Controls

• Arrow/Page/Home/End: navigate; Space: toggle row; c: clear selection.
• a: attach selected rows or cursor row; Enter: request analysis; e: export JSON.
• q or Escape: close through the socket protocol.

When canvas_wait is available, call it with this Canvas ID while waiting for an interactive selection or analysis request. Otherwise, rely on the host's automatic Canvas event delivery.