alternative-data

alternative-data is an Investment analysis & markets skill for AI agents, published by QuantConnect in the Documentation repository on GitHub. Skillspace rates alternative-data D (68/100) and it passed the safety scan; the rating is based on static analysis only.

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`.

Grade

D

Quality

68 / 100

Safety

Passed

GitHub stars

257

Unproven: rated by static analysis only, not yet compared head-to-head.

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