Jhonathan Abreu
09db45c91d
* Make sure continuous futures universe selection is performed right away on the start of the algorithm. This ensures the Future.Mapped is not null * Minor changes * Minor fixes * Update regression algorithms stats * Add DC futures map file * Update DC futures map file * Update regression algorithms stats * Include ETFs for immediate universe selection * Include Coarse Fundamentals for immediate universe selection * Include Futures Chain Universe for immediate selection * Add Option Chain Universe test * Include custom universes for immediate selection * Minor updates * Include constituents universes for immediate selection * Minor update * Minor changes, docs and stats updates * Minor changes * Minor changes and clean up * Minor regression algorithm stat update
LEAN Data Formats
Introduction
From the beginning, LEAN has strived to use an open, human-readable data format - independent of any specific database or file format. From this core philosophy, we built LEAN to read its financial data from flat files on disk. Data compression is done in zip format, and all individual files are CSV or JSON.
When there is no activity for a security, the price is omitted from the file. Only new ticks and price changes are recorded.
File Data Format
Although we strive to make all data formats identical, it is often impossible. Below are links to dedicated documentation on the file format of the data in each asset type:
Equity | Forex | Options | Futures | Crypto
Folder Structure
Data files are separated and nested in a few predictable layers:
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Tick, Second and Minute Financial Data:
/data/securityType/marketName/resolution/ticker/date_tradeType.zip -
Hour, Daily Financial Data:
/data/securityType/marketName/resolution/ticker.zip
The marketName value is used to separate different tradable assets with the same ticker. E.g. EURUSD is traded on multiple brokerages all with slightly different prices.
Core Data Types
LEAN has a few core data types represented in all the asset classes we support. Below are links to their implementation in LEAN.
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TradeBar - TradeBar represents trade ticks of assets consolidated for a period. TradeBar file format is slightly different for high resolution (second, minute) and low resolution (daily, hour).
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QuoteBar - QuoteBar represents top of book quote data consolidated over a period of time (bid and ask bar).
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Tick - Tick data represents an individual record of trades ("trade ticks") or quote updates ("quote tick") for an asset. Tick data is instantaneous - it does not have a period.
Data Readers
All data is parsed from disk via Reader() methods. The Reader takes a single line of the file and converts it the appropriate type. i.e. TradeBar.Reader() method is a factory which returns TradeBar objects. When implementing custom data, Readers are used
Other Data Formats
Theoretically LEAN can accept data in any format (database, API or flatfile). However, in practice, we currently have reader implementations written for a flat file system.