Datasets:

AlphaDojo
/

dojo_sector_precomputed

Derived sector analytics: L3 constituent snapshots, daily cap-weighted sector index levels, and per-constituent daily returns. Built offline from taxonomy, mappings, quotes, and stock K-lines.

Files

File	Description
`manifest.json`	Generation metadata: version, window start, row counts, latest trade dates
`constituents.parquet`	L3 constituent snapshot (cap, P/E)
`sector_daily.parquet`	Daily sector index and metrics (L1/L2/L3 scope)
`ticker_daily.parquet`	Constituent daily close and returns

Key Fields

manifest.json

Field	Description
`version`	Schema version (currently `2`)
`generated_at`	UTC generation timestamp
`window_start`	Window start (default `2025-01-01`)
`latest_trade_date_by_market`	Latest session per market
`constituent_count` / `sector_daily_rows` / `ticker_daily_rows`	Row count summary

constituents.parquet

Field	Description
`level1_id` / `level2_id` / `level3_id`	Sector path IDs
`market`	`us`, `cn`, or `hk`
`ticker`	Constituent symbol
`role`	`primary` or `secondary`
`market_cap`	Snapshot market cap
`weighted_pe`	Stock P/E used in sector weighting

sector_daily.parquet

Field	Description
`trade_date`	Trade date
`scope`	`L1`, `L2`, or `L3` aggregation level
`market`	Market
`level1_id` / `level2_id` / `level3_id`	Sector IDs
`member_count`	Constituent count
`total_market_cap`	Aggregate cap
`weighted_pe`	Cap-weighted P/E
`index_level`	Cap-weighted index (base = 100)
`daily_return_pct`	Sector daily return (%)

ticker_daily.parquet

Field	Description
`ticker`	Stock symbol
`trade_date`	Trade date
`close`	Close price
`daily_return_pct`	Daily return (%)
`cumulative_return_pct`	Cumulative return since `window_start` (%)

Scale (reference)

See manifest.json. Typical sizes: constituents ~20k, sector_daily ~180k, ticker_daily ~4.6M rows.

Index Method

Daily returns are cap-weighted across constituents; index base level = 100.
Constituents require valid daily bars in dojo_stock_kline and positive market cap from dojo_quote.

dojo_sector_precomputed — Precomputed Sector Analytics

Overview