Quantitative Investment Algorithm Nexus (QIAN)
"Nexus" is a term that refers to a connection, link, or central point of intersection. In the context of the acronym, it signifies the integration and interconnectedness of the various quantitative investment algorithms that Qian Capital runs. It represents the idea of algorithms coming together as a cohesive unit, forming a central hub or network, where they collaborate and interact to generate investment insights and drive decision-making. The term "nexus" conveys the notion of a powerful and dynamic network of algorithms working in synergy to analyze data, identify patterns, and optimize investment strategies. For Qian Capital, QIAN represents, and is the name of, our flagship super-intelligent AI trader that accounts for all of Qian Capital's quantitative investing algorithms, including all of the sub-models, inputs, etc. QIAN is the super-intelligent AGI that makes the final alpha generation, portfolio optimization, execution decisions.
Release files for qian 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qian-0.1.3.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qian-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.3 kB
Release files / qian-0.1.3.tar.gz
| Download URL | qian-0.1.3.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
5c124af4851d09578dc0c92f6de0c85cb3103048d6cf802a431af356b7ceafed
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
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Release files / qian-0.1.3-py3-none-any.whl
| Download URL | qian-0.1.3-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
ee537362c3c0c39db8d9b49d895ee0c8783f25ad884724d54e59c1771166bb88
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BLAKE2b-256 checksum How to use checksums |
91566ac857d7478d8b38d5c7bcdd2ddb9bd90d3f81bbd7db7e6f25a9d01f87e8
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
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