Assumption Mapping Toolkit and Report Generator for investment strategies.
Project description
Robustlabs
Assumption Mapping Toolkit (AMT) and Report Generator (RG) for investment strategies.
A risklabs module that helps strategy developers map assumptions, evidence, and unknown to create robust decision memos.
Key Features
- Assumption Mapping: Canonical map of what must be true for a strategy to work.
- Report Generator: Turns runs and artifacts into decision memos.
- Explicit Unknowns: Tracks assumptions with low confidence or missing evidence.
Installation
pip install .
Quick Start
See demo.py for a full example.
from risklabs.amr import app
import uvicorn
# Run the API
uvicorn.run(app)
Project details
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
robustlabs-0.1.0.tar.gz
(14.5 MB
view details)
File details
Details for the file robustlabs-0.1.0.tar.gz.
File metadata
- Download URL: robustlabs-0.1.0.tar.gz
- Upload date:
- Size: 14.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
47cb1a7bf67e7e4acc976a84a113ce3c6a97fe2b0168feca076b25521552b362
|
|
| MD5 |
2e76fc79879ada7acdfd5e1572e1c10e
|
|
| BLAKE2b-256 |
e8b1e7a6b29c304b9d8fc764bb2f06385dc574efb72ff0b3527884de31cf0150
|