diff --git a/docs/llms-full.txt b/docs/llms-full.txt index 36f67ee..741fff0 100644 --- a/docs/llms-full.txt +++ b/docs/llms-full.txt @@ -464,7 +464,7 @@ Async batch query is supported by datasets that require `data_id` parameter. Not - Tier: Sponsor - Data range: 1992-01-04 ~ now - Params: dataset=TaiwanStockIndustryChainMoneyFlow, start_date=2026-07-17 (no data_id; one day per request - do NOT pass end_date) -- Columns: date, industry (industry chain), sub_industry (empty string = industry-chain total row), stock_count, trading_volume, trading_money, trading_money_pct (% of whole-market individual-stock trading money; ETF/ETN/beneficiary certificates/TDR excluded from the denominator) +- Columns: date, industry (industry chain), sub_industry (empty string = industry-chain total row), stock_count, trading_volume, trading_money, trading_money_pct (% of TWSE+TPEX+emerging individual-stock trading money; ETF/ETN/beneficiary certificates/TDR and delisted instruments excluded; numerator and denominator share the same market scope) - Derived daily from TaiwanStockPrice aggregated by TaiwanStockIndustryChain (industry / sub_industry) - Note: industry-chain total rows count each stock once and do NOT equal the sum of sub-industry rows (one stock can belong to multiple sub-industries); one stock can belong to multiple chains, so percentages across chains sum to more than 100%; historical dates use the current industry-chain classification diff --git a/docs/tutor/TaiwanMarket/Chip.en.md b/docs/tutor/TaiwanMarket/Chip.en.md index 5fa3e46..7b8aba7 100644 --- a/docs/tutor/TaiwanMarket/Chip.en.md +++ b/docs/tutor/TaiwanMarket/Chip.en.md @@ -3228,9 +3228,9 @@ In Taiwan stock chip data, we have 26 datasets as follows: - Data range: 1992-01-04 ~ now - Update time: **Monday to Saturday, after market close**; actual update time subject to API data -- Shows where the daily trading money goes across industry chains: daily per-stock trading data aggregated by "Per-Company Industry Chain TaiwanStockIndustryChain" (industry / sub_industry), including stock count, trading volume, trading money, and the percentage of the whole-market individual-stock trading money +- Shows where the daily trading money goes across industry chains: daily per-stock trading data aggregated by "Per-Company Industry Chain TaiwanStockIndustryChain" (industry / sub_industry), including stock count, trading volume, trading money, and the percentage of TWSE + TPEX + emerging-market individual-stock trading money - Rows with an empty `sub_industry` are the industry-chain totals (each stock counted once; **not** equal to the sum of sub-industry rows, because one stock can belong to multiple sub-industries of the same chain); other rows are sub-industry details -- The denominator of `trading_money_pct` is the whole-market individual-stock trading money of the day (ETF / ETN / beneficiary certificates / TDR excluded) +- The denominator of `trading_money_pct` is the TWSE + TPEX + emerging-market individual-stock trading money of the day (ETF / ETN / beneficiary certificates / TDR and delisted instruments excluded); numerator and denominator use the same market scope - **One day of data per request**: query with a single `start_date` (no `data_id`); returns all industry chains for that day - Note: one stock can belong to multiple industry chains, so the percentages across chains sum to more than 100%; the dataset is designed for comparing relative money strength and rotation between chains. Historical dates are calculated with the current industry-chain classification. @@ -3287,7 +3287,7 @@ In Taiwan stock chip data, we have 26 datasets as follows: === "DataFrame" | | date | industry | sub_industry | stock_count | trading_volume | trading_money | trading_money_pct | |---:|:-----------|:-----------|:---------------|--------------:|-----------------:|----------------:|--------------------:| - | 0 | 2026-07-17 | 半導體 | | 314 | 2083008796 | 693623697527 | 52.3044 | + | 0 | 2026-07-17 | 半導體 | | 315 | 2083017591 | 693625071313 | 52.3045 | | 1 | 2026-07-17 | 半導體 | 晶圓製造 | 23 | 1114571480 | 400277383605 | 30.1839 | | 2 | 2026-07-17 | 半導體 | IC封裝測試 | 35 | 430118317 | 85061031396 | 6.4142 | === "Schema" @@ -3299,7 +3299,7 @@ In Taiwan stock chip data, we have 26 datasets as follows: stock_count: int, # number of component stocks traded that day trading_volume: int, # total trading volume (shares) trading_money: int, # total trading money - trading_money_pct: float, # % of whole-market individual-stock trading money + trading_money_pct: float, # % of TWSE + TPEX + emerging-market individual-stock trading money } ``` diff --git a/docs/tutor/TaiwanMarket/Chip.md b/docs/tutor/TaiwanMarket/Chip.md index 60e8b6b..10a1964 100644 --- a/docs/tutor/TaiwanMarket/Chip.md +++ b/docs/tutor/TaiwanMarket/Chip.md @@ -3227,9 +3227,9 @@ - 資料區間：1992-01-04 ~ now - 資料更新時間 **星期一至六 盤後**，實際更新時間以 API 資料為主 -- 計算每日交易資金在各產業鏈的分佈：以「個體公司所屬產業鏈 TaiwanStockIndustryChain」（industry / sub_industry）彙總每日個股成交，包含成分股數、成交股數、成交金額、佔全市場個股成交金額比重(%) +- 計算每日交易資金在各產業鏈的分佈：以「個體公司所屬產業鏈 TaiwanStockIndustryChain」（industry / sub_industry）彙總每日個股成交，包含成分股數、成交股數、成交金額、佔上市＋上櫃＋興櫃個股成交金額比重(%) - `sub_industry` 為空字串的列為該產業鏈總計（成分股不重複計算，**不等於**子產業列加總，因一檔股票可屬同產業鏈多個子產業）；其餘列為子產業明細 -- `trading_money_pct` 分母為當日全市場個股成交金額（排除 ETF／ETN／受益證券／存託憑證等非個股） +- `trading_money_pct` 分母為當日上市＋上櫃＋興櫃個股成交金額（排除 ETF／ETN／受益證券／存託憑證等非個股與已下市標的）；分子與分母採同一市場口徑 - **一次提供一天的資料**：以單一 `start_date` 查詢（無 `data_id`），回傳當日全部產業鏈 - 備註：一檔股票可屬多條產業鏈，各產業鏈佔比加總會超過 100%，適合觀察產業鏈之間的相對資金強弱與輪動；歷史資料以目前的產業鏈分類回溯計算 @@ -3286,7 +3286,7 @@ === "DataFrame" | | date | industry | sub_industry | stock_count | trading_volume | trading_money | trading_money_pct | |---:|:-----------|:-----------|:---------------|--------------:|-----------------:|----------------:|--------------------:| - | 0 | 2026-07-17 | 半導體 | | 314 | 2083008796 | 693623697527 | 52.3044 | + | 0 | 2026-07-17 | 半導體 | | 315 | 2083017591 | 693625071313 | 52.3045 | | 1 | 2026-07-17 | 半導體 | 晶圓製造 | 23 | 1114571480 | 400277383605 | 30.1839 | | 2 | 2026-07-17 | 半導體 | IC封裝測試 | 35 | 430118317 | 85061031396 | 6.4142 | === "Schema" @@ -3298,7 +3298,7 @@ stock_count: int, # 成分股數（當日有成交） trading_volume: int, # 成交股數合計 trading_money: int, # 成交金額合計 - trading_money_pct: float, # 佔當日全市場個股成交金額比重(%) + trading_money_pct: float, # 佔當日上市＋上櫃＋興櫃個股成交金額比重(%) } ```