Jhonathan Abreu
69d2f5ae82
* Make FOPs selection universe file-based for backtesting * Make FOPs option chains universe file based * Make Future universe selection file-based like option universe * Make Future universe selection file-based like option universe * Abstraction cleanup * Add FuturesChains API to QC algorithm Also refactor future chain provider to use the new FutureUniverse instead of zip file names * Update regression algorithms stats * Refactor QuantBook option and future history to use new universes * Fix failing tests * Fix failing tests * Fix failing tests * Minor future chains unit test improvement * Add futures chains DataFrame property Also, remove IDerivativeSecurity interface from Future * Add DataFrame property to FuturesChains class * Add regression algorithms * Add regression algorithms * Replace QCAlgorithm.FutureChainProvider usages with new FuturesChain api * Minor fixes * Reduce number of universe files in repo * Minor data fixes * Regression algorithms updates * Add implicit conversion from FuturesContract to Symbol Modified algorithms to use futures contract objects directly instead of accessing their Symbol property. Removed unnecessary import statements and redundant lines in various files. * Improve resolution handling for history requests * Changed _auxiliaryData field to lazily-initialized AuxiliaryData property * Refactor data handling in BaseChain and TimeSliceFactory - Added `AddData` method to `BaseChain` for adding market data - Refactored `TimeSliceFactory` to use `BaseChain.AddData` method * Remove specific constructors and indexers from Chain classes Removed public indexers in `BaseChains` for getting or setting `BaseChain` instances by `ticker` or `Symbol`, which were used for Pythonnet compatibility. * Remove chain cache logic from FuturesChainUniverse * Refactor class and interface names for clarity Renamed `FileBasedUniverse` to `BaseChainUniverseData` and `IFileBasedUniverse` to `IChainUniverseData`. * Add base class for options and futures contracts - Introduced `BaseContract` as an abstract base class for contracts, consolidating common properties and methods. - Removed ISymbolInterface * Add minor fix for future options tickers parsing Added tests * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Clean chain provider classes up * Remove ZipEntryName other classes and unused code Removed ZipEntryName class and references across various files. Removed DataQueueFuturesChainUniverseDataCollectionEnumerator and DataQueueOptionChainUniverseDataCollectionEnumerator classes. Removed OptionChainUniverseSubscriptionEnumeratorFactory class. Removed unused code for handling OptionChainUniverse and FuturesChainUniverse in FileSystemDataFeed.cs and LiveTradingDataFeed.cs. Removed several test files related to enumerator factories and universe data collection. * Minor changes and cleanup * Trigger Build * Trigger Build * Refactor FuturesContract data handling Forward price data from bars and ticks stored in private fields for improved memory usage * Fix: use universe data for market data in FuturesContract * Update regression algorithms stats after rebase Added HSI futures universe files * Sort configs by internal flag Internals go first * Throw from option universe data filters for future options Future options IV, Open interest and greeks are not supported for future options * Minor changes * Improve some regression algorithms * Minor fix for failing unit tests * Update FOPs universe file header Removed greeks and IV columns. Updated FOPs universe files: removed outdated columns. * Minor unit test fix * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Minor fix * Add history provider as constructor argument for chain providers * Update new regression algorithms data points count * Minor fix for FakeDataQueue * Add initialize method to chain providers classes * Minor changes * Trigger Build * Trigger Build * Trigger Build * Minor fix * Minor fix * Trigger Build * Trigger Build * Trigger Build * Trigger Build * Add logs to ProcessedDataProvider * Removed test logs * Minor fix * Support downloading options and futures universe files from api data provider
Lean Home | Documentation | Download Zip | Docker Hub | Nuget
LEAN is an event-driven, professional-caliber algorithmic trading platform built with a passion for elegant engineering and deep quant concept modeling. Out-of-the-box alternative data and live-trading support.
QuantConnect Lean CLI is a command-line interface tool for interacting with the Lean algorithmic trading engine, which is an open-source platform for backtesting and live trading algorithms in multiple financial markets. It allows developers to manage projects, run backtests, deploy live algorithms, and perform various other tasks related to algorithmic trading directly from the terminal. The CLI simplifies the workflow by automating tasks, enabling seamless integration with cloud services, and facilitating collaboration with the QuantConnect community. It's designed for quant developers who need a powerful and flexible tool to streamline their trading strategies. Please watch the instructions videos to learn more.
Installation
pip install lean
Commands
Create a new project containing starter code
lean project-create
Run a local Jupyter Lab environment using Docker
lean research
Backtest a project locally using Docker
lean backtest
Optimize a project locally using Docker
lean optimize
Start live trading a project locally using Docker
lean live
Download the LEAN CLI Cheat Sheet for the full list of commands.
This section will cover how to install lean locally for you to use in your environment. For most users we strongly recommend the LEAN CLI which is prebuilt and runs on all platforms. Refer to the following readme files for a detailed guide regarding using your local IDE with Lean.
To install locally, download the zip file with the latest master and unzip it to your favorite location. Alternatively, install Git and clone the repo:
git clone https://github.com/QuantConnect/Lean.git
cd Lean
macOS
NOTE: Visual Studio for Mac has been discontinued, use Visual Studio Code instead
- Install Visual Studio Code for Mac
- Install the C# Dev Kit extension
- Install dotnet 9 SDK:
- To build the solution, either:
- choose Run Task > build from the Panel task dropdown, or
- from the command line run
dotnet build
- To run the solution, either:
- choose Run and Debug from the Activity Bar, then click Launch, or
- click F5, or
- from the command line run
cd Launcher/bin/Debug dotnet QuantConnect.Lean.Launcher.dll
Linux (Debian, Ubuntu)
- Install dotnet 9:
- Compile Lean Solution:
dotnet build QuantConnect.Lean.sln
- Run Lean:
cd Launcher/bin/Debug
dotnet QuantConnect.Lean.Launcher.dll
Windows
- Install Visual Studio
- Open
QuantConnect.Lean.slnin Visual Studio - Build the solution by clicking Build Menu -> Build Solution (this should trigger the NuGet package restore)
- Press
F5to run
Python Support
A full explanation of the Python installation process can be found in the Algorithm.Python project.
Local-Cloud Hybrid Development.
Seamlessly develop locally in your favorite development environment, with full autocomplete and debugging support to quickly and easily identify problems with your strategy. Please see the CLI Home for more information.
Issues and Feature Requests
Please submit bugs and feature requests as an issue to the Lean Repository. Before submitting an issue, please read the instructions to ensure it is not duplicated.
Mailing List
The mailing list for the project can be found on LEAN Forum. Please use this to ask for assistance with your installation and setup questions.
Contributors and Pull Requests
Contributions are warmly welcomed, but we ask you to read the existing code to see how it is formatted and commented on and ensure contributions match the existing style. All code submissions must include accompanying tests. Please see the contributor guidelines. All accepted pull requests will get a $50 cloud credit on QuantConnect. Once your pull request has been merged, write to us at support@quantconnect.com with a link to your PR to claim your free live trading. QC <3 Open Source.
A huge thank you to all our contributors!
Acknowledgements
The open sourcing of QuantConnect would not have been possible without the support of the Pioneers. The Pioneers formed the core 100 early adopters of QuantConnect who subscribed and allowed us to launch the project into open source.
Ryan H, Pravin B, Jimmie B, Nick C, Sam C, Mattias S, Michael H, Mark M, Madhan, Paul R, Nik M, Scott Y, BinaryExecutor.com, Tadas T, Matt B, Binumon P, Zyron, Mike O, TC, Luigi, Lester Z, Andreas H, Eugene K, Hugo P, Robert N, Christofer O, Ramesh L, Nicholas S, Jonathan E, Marc R, Raghav N, Marcus, Hakan D, Sergey M, Peter McE, Jim M, INTJCapital.com, Richard E, Dominik, John L, H. Orlandella, Stephen L, Risto K, E.Subasi, Peter W, Hui Z, Ross F, Archibald112, MooMooForex.com, Jae S, Eric S, Marco D, Jerome B, James B. Crocker, David Lypka, Edward T, Charlie Guse, Thomas D, Jordan I, Mark S, Bengt K, Marc D, Al C, Jan W, Ero C, Eranmn, Mitchell S, Helmuth V, Michael M, Jeremy P, PVS78, Ross D, Sergey K, John Grover, Fahiz Y, George L.Z., Craig E, Sean S, Brad G, Dennis H, Camila C, Egor U, David T, Cameron W, Napoleon Hernandez, Keeshen A, Daniel E, Daniel H, M.Patterson, Asen K, Virgil J, Balazs Trader, Stan L, Con L, Will D, Scott K, Barry K, Pawel D, S Ray, Richard C, Peter L, Thomas L., Wang H, Oliver Lee, Christian L..