Relative Performance Scoring Function for Securities
Budget: $300.0
FIXED /
⭐ 4.97 (43)
Belgium
financial-modeling, python, pandas, numpy
We need a backend function/API endpoint that compares the performance of one security against a group of peer securities over a selected time window.
The function should accept:
Target security.
Peer group, such as industry, sector or custom list of securities.
Start date/time.
End date/time.
Price type, preferably adjusted close where available.
The function should calculate:
Return of the target security.
Average return of the peer group.
Relative performance versus peers.
A normalised score from -1 to +1.
Score meaning:
-1 = strong underperformance.
0 = neutral / in line with peers.
+1 = strong outperformance.
The function should also return supporting values such as target return, peer return, relative return, number of peers used and basic warnings if data is missing.
Expected deliverables:
Python implementation.
PostgreSQL queries or data access layer.
Optional FastAPI endpoint.
Unit tests for positive, negative and neutral cases.
Basic handling of missing data and non-trading dates.
The goal is to provide a reusable analytical component for comparing securities against relevant peer groups.
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