algopack-skills

ALGOPACK access, free and paid API keys, subscription, API key authorization, entitlement, and troubleshooting guidance for DataShop setup, bearer tokens, moexalgo .env session.TOKEN setup, direct REST headers, free or delayed access, 401, 403, 429, rate limits, and product boundaries.

Direct ALGOPACK FUTOI API workflows for futures-only open interest, FIZ/YUR segmentation, long and short participant counts, raw futoi endpoints, browser URLs, curl, JSON/CSV handoff, simple HTML output, ISS columns/data normalization, start pagination, and aggregation caveats without Python setup.

Direct ALGOPACK HI2 API workflows for Herfindahl-Hirschman market concentration, hhi_* metrics, daily EQ/FO/FX concentration rows, raw hi2 endpoints, curl, JSON/CSV handoff, simple HTML output, ISS columns/data normalization, start pagination, and interpretation bands.

Direct ALGOPACK and MOEX ISS market-data workflows for browser URLs, curl, JSON, CSV, simple HTML output, quotes, candles, trades, order books, securities metadata, EQ/FO/FX endpoint selection, iss.only filters, ISS columns/data normalization, start pagination, and no-library access.

Direct ALGOPACK Mega Alerts API workflows for market anomaly alerts, alert_type thresholds, reference JSON, documented EQ/FO alert endpoints, curl, JSON/CSV handoff, simple HTML output, ISS columns/data normalization, start pagination, and observed abnormal volume or price signals.

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.

MOEX ISS and ISS+ mechanics for raw REST endpoints, public iss.moex.com access, authenticated apim.moex.com access, output formats, iss.only, iss.json, start pagination by returned row count, response block normalization, discovery and history routes, calendars, boardgroups, and websocket/STOMP concepts.

Python moexalgo library workflows for futures-only FUTOI DataFrames, .env session.TOKEN setup, Market("FO").futoi, Ticker(...).futoi, futures open interest, FIZ/YUR segmentation, pos and pos_long or pos_short fields, participant counts, library parameter caveats, and aggregation caveats.

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.

Python moexalgo library workflows for Market and Ticker market data, .env session.TOKEN setup, pandas DataFrames, tickers metadata, marketdata quotes, info, candles, trades, orderbook, market aliases, board overrides, field selection, offset pagination, native-mode escape hatches, and basic EQ/FO/FX data analysis.

Python moexalgo library workflows for Mega Alerts DataFrames, .env session.TOKEN setup, Market.alerts, Ticker.alerts, alert_type analysis, threshold and value comparison, reference JSON parsing, EQ/FO anomaly alerts, offset pagination, groupbys, pivots, and historical post-alert context.

Python moexalgo library workflows for SuperCandles DataFrames, .env session.TOKEN setup, Market.tradestats, Market.orderstats, Market.obstats, Ticker.tradestats, Ticker.orderstats, Ticker.obstats, field interpretation, offset pagination, pivots, groupbys, and EQ/FO/FX analytics.