Matheus Pires (nashquant)

nashquant

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Location:São Paulo

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Matheus Pires's repositories

backtesthub

Backtest Hub provides a resourceful toolkit to run backtest simulations quick and easy

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FinancePy

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

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Papers

My Quant Research Papers (incl. Coding & Excel Examples)

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quantstats

Portfolio analytics for quants, written in Python

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backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

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backtrader

Python Backtesting library for trading strategies

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blockchain

Source Code for my blog post: A Practical Introduction to Blockchain with Python

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bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

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Causal-Inference-and-Discovery-in-Python

Causal Inference and Discovery in Python by Packt Publishing

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chatgpt-wrapper

API for interacting with ChatGPT using Python and from Shell.

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fake-news

Building a fake news detector from initial ideation to model deployment

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findatapy

Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.

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finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

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gif

The matplotlib Animation Extension

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gs-quant

Python toolkit for quantitative finance

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machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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mlcourse.ai

Open Machine Learning Course

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numba

NumPy aware dynamic Python compiler using LLVM

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numpy

The fundamental package for scientific computing with Python.

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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pdblp

Pandas Bloomberg

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python-ddd

Python DDD pattern example using FastAPI

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python-holidays

Generate and work with holidays in Python

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QuantLib

The QuantLib C++ library

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ta

Technical Analysis Library using Pandas and Numpy

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the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

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