Gerardo Salazar
82c9b6ccb7
* Adds processed data directory to read price data from
* Make coarse universe generator look at data directory before failing to find daily data
* Set coarse generator output of missing daily file to debug log
* Add CoarseUniverseGenerator logs
* Fixes 100 nanosecond increment lookahead bias when parsing large numbers
* Whenever we parse a number that is has precision greater than
DateTime ticks (sub-100 nanoseconds), if we have nanoseconds
between [0, 1000), excluding numbers divisible by 100,
we will have leftover nanoseconds between [0, 100) nanoseconds, but
they won't be factored in to the DateTime calculation, since casting
to `long` only takes the integer component of the number, so we lose
the extra nanoseconds that came with the decimal, and time is set to
the "floored" value without those nanoseconds.
Since .NET `DateTime` type has a limitation of only being able
to represent time in increments of 100 nanoseconds, by not
considering the sub-100 nanoseconds, we introduce a look-ahead
bias of at most 100 nanoseconds/1 tick
* Misc adjustment to make method use `decimal` instead of `double`
for increased precision when parsing large numbers
* Changes CoinAPI data converter to support processing raw files in original directory structure and file name
* Removes Market requirement from CoinAPI data converter
* Remove timeout on decompression of raw AlgoSeek futures data
* Updates SEC downloader to use HttpClient where requests were failing
* For some unknown reason, valid requests to a valid URL were
failing when using WebClient. Changing our requester to
HttpClient fixes the issue, and enables us to leverage
async capabilities where applicable.
* Added fault tolerance to index file downloads, including a
rate limit in case we've been rate limited
* Further refactoring; catches 429 errors, adds missing rategate calls
* Replace all usage of WebClient, force retry for all failures
* Adds optional config value for Benzinga News API key in downloader
* Modifies Estimize Downloader api config name and fixes directory not found bug
* Refactor Estimize to speed up processing time
* Adds ticker limits if desired
* Misc. bug fixes, performance improvements, code cleanup
* Remove debug log statements leftover from previous commit
* Add support for non-tick Index resolutions in LeanDataWriter
* Empty commit
* Empty commit
* Empty commit
* Empty commit
* Empty commit
* Empty commit
* Lower requests/second for SEC downloader, add missing rategate call
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Lean Home - https://www.quantconnect.com/lean | Documentation | Download Zip | Docker Hub
Introduction
Lean Engine is an open-source algorithmic trading engine built for easy strategy research, backtesting and live trading. We integrate with common data providers and brokerages so you can quickly deploy algorithmic trading strategies.
The core of the LEAN Engine is written in C#; but it operates seamlessly on Linux, Mac and Windows operating systems. It supports algorithms written in Python 3.6 or C#. Lean drives the web-based algorithmic trading platform QuantConnect.
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QuantConnect is Hiring!
Join the team and solve some of the most difficult challenges in quantitative finance. If you are passionate about algorithmic trading we'd like to hear from you. The below roles are open in our Seattle, WA office. When applying, make sure to mention you came through GitHub:
- Senior UX Developer: Collaborate with QuantConnect to develop a world-leading online experience for a community of developers from all over the world.
System Overview
The Engine is broken into many modular pieces which can be extended without touching other files. The modules are configured in config.json as set "environments". Through these environments, you can control LEAN to operate in the mode required.
The most important plugins are:
-
Result Processing (IResultHandler)
Handle all messages from the algorithmic trading engine. Decide what should be sent, and where the messages should go. The result processing system can send messages to a local GUI, or the web interface.
-
Datafeed Sourcing (IDataFeed)
Connect and download the data required for the algorithmic trading engine. For backtesting this sources files from the disk, for live trading, it connects to a stream and generates the data objects.
-
Transaction Processing (ITransactionHandler)
Process new order requests; either using the fill models provided by the algorithm or with an actual brokerage. Send the processed orders back to the algorithm's portfolio to be filled.
-
Realtime Event Management (IRealtimeHandler)
Generate real-time events - such as the end of day events. Trigger callbacks to real-time event handlers. For backtesting, this is mocked-up a works on simulated time.
-
Algorithm State Setup (ISetupHandler)
Configure the algorithm cash, portfolio and data requested. Initialize all state parameters required.
These are all configurable from the config.json file in the Launcher Project.
Installation Instructions
We recommend using the docker images. These are perfectly configured to run out of the box without interfering with your development environment. You can pull these images with docker pull quantconnect/lean and docker pull quantconnect/research.
Refer to the following readme files for a detailed guide regarding using our docker image with your local IDE:
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
- Install Visual Studio for Mac
- Open
QuantConnect.Lean.slnin Visual Studio
Visual Studio will automatically start to restore the Nuget packages. If not, in the menu bar, click Project > Restore NuGet Packages.
- In the menu bar, click
Run > Start Debugging.
Alternatively, run the compiled dll file. First, in the menu bar, click Build > Build All, then:
cd Lean/Launcher/bin/Debug
dotnet QuantConnect.Lean.Launcher.dll
Linux (Debian, Ubuntu)
- Install dotnet 5:
- Compile Lean Solution:
dotnet QuantConnect.Lean.sln
- Run Lean:
cd Launcher/bin/Debug
dotnet QuantConnect.Lean.Launcher.dll
- Interactive Brokers set up details
Make sure you fix the ib-tws-dir and ib-controller-dir fields in the config.json file with the actual paths to the TWS and the IBController folders respectively.
If after all you still receive connection refuse error, try changing the ib-port field in the config.json file from 4002 to 4001 to match the settings in your IBGateway/TWS.
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. For more information please see the CLI Home.
Issues and Feature Requests
Please submit bugs and feature requests as an issue to the Lean Repository. Before submitting an issue please read others to ensure it is not a duplicate.
Mailing List
The mailing list for the project can be found on LEAN Forum. Please use this to request assistance with your installations and setup questions.
Contributors and Pull Requests
Contributions are warmly very welcomed but we ask you to read the existing code to see how it is formatted, commented and ensure contributions match the existing style. All code submissions must include accompanying tests. Please see the contributor guide lines.
All accepted pull requests will get a 2mo free Prime subscription 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.
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..