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Implements the market data layer from scratch per planning/MARKET_INTERFACE.md,
planning/MARKET_SIMULATOR.md, and planning/MASSIVE_API.md:
- market/types.py — PricePoint dataclass
- market/cache.py — thread-safe PriceCache with update/get/remove/clear
- market/base.py — MarketDataProvider abstract base class
- market/simulator.py — GBM SimulatorProvider: correlated moves, random events,
500ms tick loop, any ticker string accepted
- market/massive.py — MassiveProvider: REST polling every 15s, validate_ticker
- market/factory.py — create_provider() selects provider via MASSIVE_API_KEY env var
- tests/ — full unit test suite covering cache, simulator, Massive
client (via respx mocks), and factory selection
Also creates db/.gitkeep for the SQLite volume mount directory.
Co-authored-by: Ashish <kplayz@users.noreply.github.com>
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Implements the complete market data backend layer per planning docs:
market/types.py— PricePoint dataclassmarket/cache.py— thread-safe PriceCachemarket/base.py— MarketDataProvider ABCmarket/simulator.py— GBM SimulatorProvider (500ms ticks, correlation, random events)market/massive.py— MassiveProvider (REST polling every 15s)market/factory.py— env-driven provider selectionCloses #4
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