I'm transitioning to QuantConnect after Quantopian's closing, and would be able to learn the API/backtester much faster if I could get local python autocompletion working since browser autocompletion is slow at best. I've looked into the QuantConnect community discussions, Lean GitHub repo, and QuantConnect Skylight-related youtube videos, but still no luck.
In forum discussion 9509, Shile says "We recently rolled out Python Autocomplete for local Skylight development in VS Code...", but I can't find any documentation to support this.
Can someone refer me to the instructions for setting up Python autocomplete for local Skylight development in VS Code, or describe the steps they've taken to get it working?
Jared Broad
We just rolled this out in beta channels -- check it out. It doesn't require a skylight installation,
For VSCode you'll need to install the PyLance extension from Microsoft.
pip install quantconnect-stubs
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Gerardo Salazar
To add to Jared's comment, to get autocomplete working as intended, you'll have to import the QuantConnect module and some of its namespaces.
I've prepared a list of imports that you can copy and paste to the top of your algorithm so that you can have the same experience developing locally as you would in the cloud.
from QuantConnect import * from QuantConnect.Parameters import * from QuantConnect.Benchmarks import * from QuantConnect.Brokerages import * from QuantConnect.Util import * from QuantConnect.Interfaces import * from QuantConnect.Algorithm import * from QuantConnect.Algorithm.Framework import * from QuantConnect.Algorithm.Framework.Selection import * from QuantConnect.Algorithm.Framework.Alphas import * from QuantConnect.Algorithm.Framework.Portfolio import * from QuantConnect.Algorithm.Framework.Execution import * from QuantConnect.Algorithm.Framework.Risk import * from QuantConnect.Indicators import * from QuantConnect.Data import * from QuantConnect.Data.Consolidators import * from QuantConnect.Data.Custom import * from QuantConnect.Data.Fundamental import * from QuantConnect.Data.Market import * from QuantConnect.Data.UniverseSelection import * from QuantConnect.Notifications import * from QuantConnect.Orders import * from QuantConnect.Orders.Fees import * from QuantConnect.Orders.Fills import * from QuantConnect.Orders.Slippage import * from QuantConnect.Scheduling import * from QuantConnect.Securities import * from QuantConnect.Securities.Equity import * from QuantConnect.Securities.Forex import * from QuantConnect.Securities.Interfaces import * from datetime import date, datetime, timedelta from QuantConnect.Python import * from QuantConnect.Storage import * QCAlgorithmFramework = QCAlgorithm QCAlgorithmFrameworkBridge = QCAlgorithm
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Jasper van Merle
I have just improved the documentation in the readme of QuantConnect/quantconnect-stubs-generator, here is a copy of the relevant part:
The latest version of the stubs can be installed by running pip install -U quantconnect-stubs. Every time Lean is updated, a new version of the package is released containing the latest stubs (the same command can be used to update).
The stubs are tested to work well with PyCharm and VS Code in combination with the Pylance extension. They should also work with any other editor capable of indexing Python type stubs.
If type-aware features like autocompletion are not working after installing the package, make sure your editor supports indexing Python type stubs and is set up to index packages in the environment you installed the package into. Sometimes it may also help to restart your editor to make sure newly installed/updated packages are correctly indexed.
Austin
Awesome, I was able to get VS Code Python autocompletion working by
Thanks!
for paper trail
from QuantConnect import *
from QuantConnect.Parameters import *
from QuantConnect.Benchmarks import *
from QuantConnect.Brokerages import *
from QuantConnect.Util import *
from QuantConnect.Interfaces import *
from QuantConnect.Algorithm import *
from QuantConnect.Algorithm.Framework import *
from QuantConnect.Algorithm.Framework.Selection import *
from QuantConnect.Algorithm.Framework.Alphas import *
from QuantConnect.Algorithm.Framework.Portfolio import *
from QuantConnect.Algorithm.Framework.Execution import *
from QuantConnect.Algorithm.Framework.Risk import *
from QuantConnect.Indicators import *
from QuantConnect.Data import *
from QuantConnect.Data.Consolidators import *
from QuantConnect.Data.Custom import *
from QuantConnect.Data.Fundamental import *
from QuantConnect.Data.Market import *
from QuantConnect.Data.UniverseSelection import *
from QuantConnect.Notifications import *
from QuantConnect.Orders import *
from QuantConnect.Orders.Fees import *
from QuantConnect.Orders.Fills import *
from QuantConnect.Orders.Slippage import *
from QuantConnect.Scheduling import *
from QuantConnect.Securities import *
from QuantConnect.Securities.Equity import *
from QuantConnect.Securities.Forex import *
from QuantConnect.Securities.Interfaces import *
from datetime import date, datetime, timedelta
from QuantConnect.Python import *
from QuantConnect.Storage import *
QCAlgorithmFramework = QCAlgorithm
QCAlgorithmFrameworkBridge = QCAlgorithm
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Austin
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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