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
1. Use `Market("EQ"|"FO"|"FX").hi2(date=...)` for all instruments.
2. Use `Ticker(...).hi2(start=..., end=...)` for one instrument.
3. Filter or pivot by `metric`.
4. Use library `offset` for pagination where supported; do not pass raw REST `start` to library methods.
5. Apply broad concentration bands when useful.
6. 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.