QuantConnect.Algorithm 2.5.17924
QuantConnect LEAN Engine: Algorithm Project - Core QCAlgorithm implementation
Showing the top 20 packages that depend on QuantConnect.Algorithm.
| Packages | Downloads |
|---|---|
|
QuantConnect.Algorithm.Framework
Lean Engine is an open-source, plataform agnostic C# and Python algorithmic trading engine. Allows strategy research, backtesting and live trading with Equities, FX, CFD, Crypto, Options and Futures Markets.
|
35 |
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QuantConnect.Algorithm.CSharp
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
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33 |
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QuantConnect.Research
QuantConnect LEAN Engine: Research Project - Core implementation for jupyter research environment
|
32 |
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QuantConnect.Algorithm.CSharp
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
|
32 |
|
QuantConnect.Algorithm.Framework
Lean Engine is an open-source, plataform agnostic C# and Python algorithmic trading engine. Allows strategy research, backtesting and live trading with Equities, FX, CFD, Crypto, Options and Futures Markets.
|
32 |
|
QuantConnect.Algorithm.Framework
QuantConnect LEAN Engine: Algorithm.Framework Project - The core QCAlgorithm framework implementation
|
32 |
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QuantConnect.Research
QuantConnect LEAN Engine: Research Project - Core implementation for jupyter research environment
|
31 |
|
QuantConnect.Algorithm.CSharp
QuantConnect LEAN Engine: Algorithm.CSharp Project - A collection of C# algorithm demonstrations for how to use the API
|
31 |
|
QuantConnect.Algorithm.Framework
QuantConnect LEAN Engine: Algorithm.Framework Project - The core QCAlgorithm framework implementation
|
31 |
|
QuantConnect.Algorithm.Framework
Lean Engine is an open-source, plataform agnostic C# and Python algorithmic trading engine. Allows strategy research, backtesting and live trading with Equities, FX, CFD, Crypto, Options and Futures Markets.
|
31 |
|
QuantConnect.Research
QuantConnect LEAN Engine: Research Project - Core implementation for jupyter research environment
|
30 |
.NET 10.0
- QuantConnect.Common (>= 2.5.17924)
- QuantConnect.Configuration (>= 2.5.17924)
- QuantConnect.Indicators (>= 2.5.17924)
- QuantConnect.Logging (>= 2.5.17924)
- MathNet.Numerics (>= 5.0.0)
- Newtonsoft.Json (>= 13.0.2)
- NodaTime (>= 3.0.5)
- QuantConnect.pythonnet (>= 2.0.64)
| Version | Downloads | Last updated |
|---|---|---|
| 2.5.17924 | 0 | 07/16/2026 |
| 2.5.17922 | 1 | 07/16/2026 |
| 2.5.17895 | 10 | 07/08/2026 |
| 2.5.17865 | 12 | 06/20/2026 |
| 2.5.17863 | 6 | 06/21/2026 |
| 2.5.17843 | 9 | 06/17/2026 |
| 2.5.17764 | 9 | 06/09/2026 |
| 2.5.17757 | 13 | 05/30/2026 |
| 2.5.17755 | 9 | 05/30/2026 |
| 2.5.17752 | 13 | 05/30/2026 |
| 2.5.17740 | 14 | 05/23/2026 |
| 2.5.17699 | 24 | 05/11/2026 |
| 2.5.17677 | 23 | 04/25/2026 |
| 2.5.17654 | 19 | 04/12/2026 |
| 2.5.17650 | 18 | 04/13/2026 |
| 2.5.17573 | 22 | 04/13/2026 |
| 2.5.17554 | 17 | 04/13/2026 |
| 2.5.17534 | 16 | 04/13/2026 |
| 2.5.17512 | 19 | 04/13/2026 |
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| 2.5.17481 | 15 | 04/13/2026 |
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| 2.5.17176 | 25 | 04/13/2026 |
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