| name | moexalgo-hi2 |
| description | Python moexalgo library workflows for HI2 DataFrames, .env session.TOKEN setup, Market.hi2, Ticker.hi2, Herfindahl-Hirschman concentration, hhi_* metrics, daily EQ/FO/FX concentration analysis, offset pagination, pivots, groupbys, interpretation bands, and missing-row caveats. |
MOEXAlgo HI2
Overview
Use this skill when the user wants HI2 through the moexalgo Python package and DataFrame analysis.
Access note: Promo includes HI2. Стартовый / Starter free-token availability is planned at T - 1 day; verify current access before promising it.
Quick Start
python -m pip install "moexalgo[dataframe]" python-dotenv
import os
from dotenv import load_dotenv
from moexalgo import session, Market, Ticker
load_dotenv()
session.TOKEN = os.environ["APIKEY"]
eq = Market("EQ")
market_hi2 = eq.hi2(date="2025-01-10")
sber = Ticker("SBER")
sber_hi2 = sber.hi2(start="2025-01-01", end="2025-01-31")
Core Workflow
- Use
Market("EQ"|"FO"|"FX").hi2(date=...) for all instruments.
- Use
Ticker(...).hi2(start=..., end=...) for one instrument.
- Filter or pivot by
metric.
- Use library
offset for pagination where supported; do not pass raw REST start to library methods.
- Apply broad concentration bands when useful.
- Explain missing rows as possible coverage, entitlement, date, or participant-threshold issues.
References
Read references/hi2.md for signatures, metric names, fields, interpretation bands, and DataFrame examples.
Boundary
For raw endpoint URLs, curl, JSON/CSV, or no-Python workflows, use the direct HI2 skill instead.
