REGEXVAULTv2.0
Finance/Currency & Money
Verified Safe

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

Python
# 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"))  # True

Test Cases

Matches (Valid)
Rejects (Invalid)
010001
50100.123
100bps50
55050 bps
1000010000.1
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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