| name | algopack-supercandles |
| description | Direct ALGOPACK SuperCandles API workflows for tradestats, orderstats, obstats, 5-minute trade/order/order-book metrics, field meanings, EQ/FO/FX endpoints, curl, JSON/CSV handoff, simple HTML output, ISS columns/data normalization, and start pagination. |
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
- Pick the dataset:
tradestats for trade metrics, orderstats for order-flow metrics, or obstats for order-book metrics.
- Pick the market prefix:
eq, fo, or fx.
- Use
latest=1 for the newest rows or start pagination for full days/ranges.
- Normalize raw
secid to ticker in user-facing tables.
- Normalize ISS
columns plus data arrays into rows before filtering, joining, or charting.
- 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.
