To run the sample strategy we need 1-day bars for a single symbol. Any symbol will work, we will use AAPL. Create a database for free sample data (if it doesn't already exist):
from quantrocket.history import create_usstock_db
create_usstock_db("usstock-free-1d", bar_size="1 day", free=True)
{'status': 'successfully created quantrocket.v2.history.usstock-free-1d.sqlite'}Then collect the data:
from quantrocket.history import collect_history
collect_history("usstock-free-1d")
{'status': 'the historical data will be collected asynchronously'}Use flightlog to monitor the progress:
quantrocket.history: INFO [usstock-free-1d] Collecting FREE history from 2007 to present
quantrocket.history: INFO [usstock-free-1d] Collecting updated FREE securities listings
quantrocket.history: INFO [usstock-free-1d] Collecting additional FREE history from 2020-04 to present
quantrocket.history: INFO [usstock-free-1d] Collected 160 monthly files in quantrocket.v2.history.usstock-free-1d.sqliteNext we look up the Sid for AAPL (using the CLI in this example):
!quantrocket master get --symbol 'AAPL' --json | json2yml
---
-
Sid: "FIBBG000B9XRY4"
Symbol: "AAPL"
Exchange: "XNAS"
Country: "US"
Currency: "USD"
SecType: "STK"
Etf: 0
Timezone: "America/New_York"
Name: "APPLE INC"
PriceMagnifier: 1
Multiplier: 1
Delisted: 0
DateDelisted: null
LastTradeDate: null
RolloverDate: null
We'll use this Sid in our backtrader script.