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FinancePy

Appears in 4 awesome lists

| Python | - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

Open github.comdomokane/financepy

Found in these lists

Awesome AI in Finance

Section: Others · A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

FreshScore 87

Awesome Quant

Section: Financial Instruments & Pricing · Python - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

FreshScore 91

Libraries and packages

Section: Pricing · A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives

FreshScore 86

Awesome Systematic Trading

Section: Pricing · | Python | - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

FreshScore 89

tf-quant-finance

High-performance TensorFlow library for quantitative finance from Google

In 5 listsDetails

BDE Score

| Python, MCP | - AI-powered multi-market stock analysis with transparent multi-factor scoring for 73 stocks across US, HK, and A-share markets. EU AI Act Art.50 compliant. MCP server + REST API.

In 4 listsDetails

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance).

PyQL

| Python, Cython | - Python wrapper of the famous pricing library QuantLib

In 3 lists

ffn

| Python | - A financial function library for Python

In 3 lists

Awesome-Quant-Machine-Learning-Trading

Quant / Algorithm trading resources with an emphasis on Machine Learning.

RustQuant

Rust - Quantitative finance library written in Rust.

In 2 lists

gs-quant

Python - Python toolkit for quantitative finance.

In 2 lists