Uses `MarketCap = Value * EarningReports.BasicAverageShares.ThreeMonths`. Since the previous calculations as using `BasicEPS` that can be negative, market cap got negative values which is not realistic.
Moves `MarketCap` code from the generated file to another one that shares the partial class.
Adds `MarketCap` member to `FineFundamental` class that represents the aggregate market value of a company represented in dollar amount.
Changes `CoarseFineFundamentalRegressionAlgorithm` (C# and Python) to select securities based in its market capitalization. Same result as selecting by P/E ratio.
- Will use an array as store, the most efficient collection memory wise.
Holding a custom internal `struct PeriodField`
- Will store period as a byte number, not a string
- By default the collection will be null and created on demand
- Adding more unit tests
- Reduce the amount of `Path.Combine()` usages -> it has a peformance
overhead
- Improving `FineFundamentalSubscriptionFactory` GetSource algorithm,
now it will not check if each file exists while finding the appropriate,
since we already iterated the directory before
- `DefaultDataProvider` will not check if file exists since `new
FileStream` performance the same operation internally
- When subscribing to `Coarse` data the `LiveTradingDataFeed` will use
the normalized `CoarseFundamental Universe Symbol` for that market ->
not using the random GUID
- Adding unit tests which reproduce issue.
- Implementing `QCAlgorithm.AddUniverseSelectionModel`
- Adding C#/Py regression algorithms using the new API
- Modifying `ManualUniverSelectionModels` symbol, adding hash of
the selected `Symbol.Values`
- Modifying `Coarse` and `Fine` symbol, adding random GUID
- Adding `NullUniverseSelectionModel`
Universe data is piped through the TimeSlice and saved in the
security cache in the algorithm manager for consumption by the
algorithm.
This change includes an update to SecurityCache.AddData to preclude
us from setting the security price using auxiliary data. Tests were
updated accordingly.
This includes updating all usages of symbol as a security identifier to use the new type.
The type includes a unique field, SID, as well as the current ticker's value. This allows
for consistent addressability while also allowing the ticker to evolve over time with the
mapping changes.
Effort was made to maintain compile and runtime backwards compatibility.
Adds concept of Subscription to contain everything a data feed needs in order to process single data feed item
Moves preparation of all data to data feed thread, algo thread receives data in format it needs
QCAlgorithm.SetUniverse( func ) allows selection based on market/symbol/dollar volume/price
Remove laziness from Slice as optimization, no order by in real time handler
Martin-Molinero