Reliable backtesting and portfolio optimization for investors who want to focus on generating alpha
Project description
InvestOS
| Docs |   |
| Package |   |
| Meta |     |
InvestOS (/InvEst əʊˈes/) is a Python library for investors who want to focus on generating alpha. As it stands today, it provides reliable backtesting and portfolio optimization software for investors... but we have bigger ambitions!
As mentioned in our first blog article:
From the start, our goal has been to support all possible optimization strategies and backtesting requirements through flexible, extensible code, while prioritizing reliability and ease-of-use. Once we feel we’ve achieved that goal as it pertains to portfolio optimization and backtesting, we plan to begin productizing other (non-IP) parts of investors’ alpha-generation process.
For more information, visit investos.io.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file investos-0.3.1.tar.gz.
File metadata
- Download URL: investos-0.3.1.tar.gz
- Upload date:
- Size: 23.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.4.2 CPython/3.9.17 Darwin/21.2.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7ae34718d8f4acdb50b6e0c342f617553fc87e7eb1728892eb5e482eac11018e
|
|
| MD5 |
19e4aaa730e7bc249e119598dcdcdf2e
|
|
| BLAKE2b-256 |
dee482a60001a0ba20e2497a3718134e2d2a42fab074f3baf5ba293121bfe337
|
File details
Details for the file investos-0.3.1-py3-none-any.whl.
File metadata
- Download URL: investos-0.3.1-py3-none-any.whl
- Upload date:
- Size: 31.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.4.2 CPython/3.9.17 Darwin/21.2.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
29b92a897af068dac75f49200d97780544a42a8dc500063e66d90db7c1a84df1
|
|
| MD5 |
b064dad3d6ff8070a580396f385a3fb5
|
|
| BLAKE2b-256 |
7ede9f40344e213f8bf610c694de2b291a933d7da6b9a8aa692101bf21b67948
|
