algopack-supercandles

ALGOPACK SuperCandles

Overview

Use this skill for raw SuperCandles endpoints and 5-minute metric fields. Return URLs, curl, normalized JSON rows, CSV/JSON handoff guidance, and concise field interpretation.

Access note: Promo includes SuperCandles. Стартовый / Starter free-token availability is planned at T - 1 day; verify current access before promising it.

Quick Start

curl -L "https://apim.moex.com/iss/datashop/algopack/eq/tradestats/SBER.json?from=2025-01-01&till=2025-01-31&start=0" \
  -H "Authorization: Bearer ${APIKEY}"

Use date=YYYY-MM-DD for all instruments and from=YYYY-MM-DD&till=YYYY-MM-DD for one ticker.

Core Workflow

1. Pick the dataset: tradestats for trade metrics, orderstats for order-flow metrics, or obstats for order-book metrics.
2. Pick the market prefix: eq, fo, or fx.
3. Use latest=1 for the newest rows or start pagination for full days/ranges.
4. Normalize raw secid to ticker in user-facing tables.
5. Normalize ISS columns plus data arrays into rows before filtering, joining, or charting.
6. Match output to the request: CSV/JSON tables for handoff, simple HTML charts for browser output, Matplotlib or pandas plotting for notebook/script output, and the app's existing charting stack inside an app.

References

Read references/supercandles.md for endpoint maps, fields, interpretation notes, limits, pagination, and output patterns.

Boundary

Describe SuperCandles as analytics for research and monitoring. Do not turn imbalance or threshold examples into trading advice.