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QuantConnect
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QuantConnect

1개 GitHub 저장소에서 수집된 42개 skills를 저장소 단위로 보여줍니다.

수집된 skills
42
저장소
1
업데이트
2026-06-22
저장소 지도

skills가 있는 위치

수집된 skill 수가 많은 주요 저장소와 이 제작자 카탈로그 내 비중, 직업 분포를 보여줍니다.

저장소 탐색

저장소와 대표 skills

alternative-data
소프트웨어 개발자

Use when subscribing to a QuantConnect/LEAN alternative-data class via `AddData<AltClass>(symbol)` and reading the result from `slice` in `OnData`. Triggers — "is this dataset a list or single point per bar", "why does iterating slice[dataset_symbol] fail", "why does .property error on a Quiver/RegAlytics/EODHDEconomicEvents value", missing-attribute errors after `slice[_datasetSymbol]`. Skip when — the dataset is a universe (use alternative-data-universes), Morningstar fundamentals, ETF constituents, or the price feed comes through `AddEquity` / `AddOption` instead of `AddData`.

2026-06-22
custom-data
소프트웨어 개발자

Use when adding a custom or external data source to a QuantConnect/LEAN algorithm. Triggers: custom data reader, external dataset, `BaseData`, CSV, JSON, XML, ZIP, REST endpoint, Object Store, linked data, unlinked signals, custom universes, or local files for a QC strategy. Skip existing QC datasets subscribed with `AddData`, unless writing a custom reader.

2026-06-22
alternative-data
소프트웨어 개발자

Use when subscribing to a QuantConnect/LEAN alternative-data class via `add_data(<AltClass>, symbol)` and reading the result from `slice` in `on_data`. Triggers — "is this dataset a list or single point per bar", "why does iterating slice[dataset_symbol] fail", "why does .property error on a Quiver/RegAlytics/EODHDEconomicEvents value", missing-attribute errors after `slice[dataset_symbol]`. Skip when — the dataset is a universe (use alternative-data-universes), Morningstar fundamentals, ETF constituents, or the price feed comes through `add_equity` / `add_option` instead of `add_data`.

2026-06-22
custom-data
소프트웨어 개발자

Use when adding a custom or external data source to a QuantConnect/LEAN algorithm. Triggers: custom data reader, external dataset, `PythonData`, CSV, JSON, XML, ZIP, REST endpoint, Object Store, linked data, unlinked signals, custom universes, or local files for a QC strategy. Skip existing QC datasets subscribed with `add_data`, unless writing a custom reader.

2026-06-22
alternative-data
소프트웨어 개발자

Use when subscribing to a QuantConnect/LEAN alternative-data class via py`add_data(<AltClass>, symbol)`cs`AddData<AltClass>(symbol)` and reading the result from py`slice`cs`slice` in py`on_data`cs`OnData`. Triggers — "is this dataset a list or single point per bar", "why does iterating slice[dataset_symbol] fail", "why does .property error on a Quiver/RegAlytics/EODHDEconomicEvents value", missing-attribute errors after py`slice[dataset_symbol]`cs`slice[_datasetSymbol]`. Skip when — the dataset is a universe (use alternative-data-universes), Morningstar fundamentals, ETF constituents, or the price feed comes through py`add_equity`cs`AddEquity` / py`add_option`cs`AddOption` instead of py`add_data`cs`AddData`.

2026-06-22
code-quality
소프트웨어 품질 보증 분석가·테스터

Use when writing, reviewing, or refactoring QuantConnect/LEAN algorithm code for style correctness. Triggers: new algorithm code, code review, cleanup, "fix code style", "review code quality", "clean up the algorithm", redundant imports, subscription variable usage, comment format, blank-line rules, multi-line boolean layout, or catch-all error handling. Skip when only debugging runtime behavior or performance, unless the fix also changes style.

2026-06-18
code-quality
소프트웨어 품질 보증 분석가·테스터

Use when writing, reviewing, or refactoring QuantConnect/LEAN algorithm code for style correctness. Triggers: new algorithm code, code review, cleanup, "fix code style", "review code quality", "clean up the algorithm", redundant imports, subscription variable usage, comment format, blank-line rules, multi-line boolean layout, or catch-all error handling. Skip when only debugging runtime behavior or performance, unless the fix also changes style.

2026-06-18
custom-data
소프트웨어 개발자

Use when adding a custom or external data source to a QuantConnect/LEAN algorithm. Triggers: custom data reader, external dataset, py`PythonData`cs`BaseData`, CSV, JSON, XML, ZIP, REST endpoint, Object Store, linked data, unlinked signals, custom universes, or local files for a QC strategy. Skip existing QC datasets subscribed with py`add_data`cs`AddData`, unless writing a custom reader.

2026-06-18
이 저장소에서 수집된 skills 42개 중 상위 8개를 표시합니다.
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