Basis Points (bps) Regex for Python
/^-?(?:[0-9]{1,4}(?:\.[0-9]{1,2})?|10000(?:\.0{1,2})?)$/What this pattern does
This page provides a well-structured, multi-part regular expression for matching basis points (bps), ported and verified for Python. Financial data validation has zero tolerance for false negatives — a missed invalid entry can corrupt downstream calculations. The snippet below is ready to drop into your Python project — whether you're validating in a Django view, a FastAPI endpoint, or a standalone data processing script.
Python Implementation
# Basis Points (bps)
# ReDoS-safe | RegexVault — Finance > Currency & Money
import re
basis_points_bps_pattern = re.compile(r'^-?(?:[0-9]{1,4}(?:\.[0-9]{1,2})?|10000(?:\.0{1,2})?)$')
def validate_basis_points_bps(value: str) -> bool:
return bool(basis_points_bps_pattern.fullmatch(value))
# Example
print(validate_basis_points_bps("0")) # TrueTest Cases
Matches (Valid) | Rejects (Invalid) |
|---|---|
0 | 10001 |
50 | 100.123 |
100 | bps50 |
550 | 50 bps |
10000 | 10000.1 |
25.5 | — |
9999.99 | — |
-100 | — |
When to use this pattern
This pattern is drawn from the Finance > Currency & Money category and carries a ReDoS-safe certification. That matters for Python developers because particularly important in Python web servers where CPU-bound regex operations can stall concurrent request handling. RegexVault audits patterns against known backtracking attack vectors, ensuring you have the necessary context before using this regex in a high-stakes production environment.
Common Pitfalls
For rate changes exceeding 100%, remove the upper bound. Always store the unit (bps vs %) explicitly in the data model to avoid silent conversion errors.
Technical Notes
1 basis point = 0.01% = 0.0001. 100 bps = 1%. Used heavily in interest rate, spread, and fee contexts. Allows negative values for inverted spreads. Max 10000 bps = 100%.
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