stefan-jansen--machine-learning-for-trading/data/equities

Equity Data

Equity datasets organised by type: market data (OHLCV, options, microstructure), fundamentals (SEC filings + XBRL), positioning (13F, Form 4), and firm characteristics (standalone packaged dataset).

Directory

equities/
├── loader.py                # All equities loaders
├── README.md                # (this file)
│
├── market/                  # Market data (OHLCV, options, microstructure)
│   ├── us_equities/           # NASDAQ Data Link Wiki Prices (1962-2018)
│   ├── sp500/                 # AlgoSeek daily bars + options slices
│   ├── nasdaq100/             # AlgoSeek minute bars
│   ├── microstructure/        # TAQ / MBO / ITCH / IEX tick data
│   ├── sp500.csv              # Index reference file
│   └── us_equities_profile.json
│
├── fundamentals/            # SEC regulatory filings (text + XBRL)
│   ├── 10k/sp100/             # Per-ticker 10-K text (S&P 100)
│   ├── 10q/sp500/mda.parquet  # 10-Q MD&A aggregate (S&P 500)
│   ├── 8k/sp100/              # 8-K event filings (S&P 100)
│   ├── xbrl/                  # XBRL financial facts (CIK × quarter × concept)
│   ├── filings_download.py    # Unified 10-K / 10-Q / 8-K downloader
│   ├── xbrl_download.py
│   └── README.md
│
├── positioning/             # SEC regulatory filings (positions / insider activity)
│   ├── 13f/                   # 13F institutional holdings (per-cik + bulk)
│   ├── form4/                 # Form 4 insider transactions (raw XML)
│   ├── 13f_download.py
│   ├── form4_download.py
│   └── README.md
│
└── firm_characteristics/    # Standalone packaged dataset (Chen-Pelger-Zhu)
    ├── firm_characteristics_all.parquet
    ├── download.py
    └── README.md

Loaders (all in equities/loader.py)

Market

Loader	Dataset
load_sp500_index()	S&P 500 index OHLCV (bundled)
load_us_equities()	3,199 US stocks (1962-2018, frozen) — NASDAQ DL
load_sp500_daily_bars()	S&P 500 daily OHLCV — AlgoSeek
load_sp500_options()	Raw options chains (legacy) — AlgoSeek
load_sp500_options_eda()	Options EDA slice (8 symbols, 2019-2020) — AlgoSeek slim
load_sp500_options_straddles_raw()	ATM-band raw chains, lifecycle-preserving (2017-2021)
load_sp500_options_surface()	Daily IV surface summary
load_sp500_options_straddles()	Daily ATM straddles
load_nasdaq100_bars()	NASDAQ-100 minute bars (resampling, quotes, microstructure)
load_nasdaq100_taq()	TAQ tick data (AAPL, 2020-03-13 / 2020-03-16)
load_mbo_data()	MBO order book data — Databento
load_nasdaq_itch()	NASDAQ ITCH messages
load_iex_hist()	IEX DEEP/TOPS data (free)

Fundamentals

Loader	Dataset
load_sp500_10q_mda()	S&P 500 10-Q MD&A text (2017-2021)
load_sec_filings(form_type, universe)	10-K / 10-Q / 8-K aggregate text
resolve_sec_filings_dir()	Per-ticker filings directory (Ch22 RAG)
load_sec_xbrl_fundamentals()	XBRL financial facts (CIK × quarter × concept)

Positioning

Loader	Dataset
load_institutional_holdings_13f()	13F holdings (per-cik, 10 curated managers)
load_13f_bulk_holdings(quarter)	13F full universe (~3M rows per quarter)
load_13f_stock_features()	Stock-level features (breadth, concentration, value)
load_13f_edges()	Institution → stock edge list (graph construction)

Firm Characteristics

Loader	Dataset
load_firm_characteristics()	Chen-Pelger-Zhu panel (~180 features; returns + accounting)

Quick Start

# Market
uv run python data/equities/market/us_equities/download.py

# Fundamentals
uv run python data/equities/fundamentals/filings_download.py --form 10-Q --universe sp500
uv run python data/equities/fundamentals/xbrl_download.py

# Positioning
uv run python data/equities/positioning/13f_download.py
uv run python data/equities/positioning/form4_download.py --ticker TSLA --count 20

# Firm characteristics
uv run python data/equities/firm_characteristics/download.py

Book Usage

• Ch2 — market datasets appear in 02_financial_data_universe/*_eda.py.
• Ch3 — microstructure (TAQ / MBO / ITCH / IEX).
• Ch4 — fundamentals (XBRL, SEC filings), positioning (13F, Form 4).
• Ch8 — fundamentals + macro cross-sectional features.
• Ch10 — filing-text signals from 10-Q MD&A; asset embeddings from 13F.
• Ch11-14 — firm characteristics as the standard ML asset-pricing benchmark.
• Ch16-20 — NASDAQ-100 + S&P 500 options case studies.
• Ch22-23 — RAG over SP100 10-Ks; institutional ownership graph.

See the sub-READMEs in each type directory for license, disk footprint, download commands, and on-disk layout details.