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2nd-edition-book-amazon-python-for-finance-and-algorithmic-trading

advanced-r-programming-course

Results of Coursera's Advanced R Programming class project offered by the Johns Hopkins University

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

awesome-quant

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

baselinewavelet

Intelligent background-correction algorithm for highly fluorescent sample in Raman spectroscopy

data-science-books-1

deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

dwt

R routines for carrying out the Discrete Wavelet Transforms (DWT) and Maximum Overlap Discrete Wavelet Transforms (MODWT) for univariate time series.

fecon235

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

fecon236

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

funhddc-wavelet

funHDDC-wavelet is a functional data clustering method. It use the Discrete Wavelet Transform to decompose curves into multiple components (levels) then train a parcimonious gaussian mixture model on them.

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

learn-wavelets

Jupyter notebooks to keep my learning notes about wavelet theory

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning-for-trading

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

metatrader-5-automated-trading-using-python

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

modwtpy

modwt in python

multi-resolution-analysis-in-r

Application of Discrete Wavelet Transform in the Spatial Analysis of Sea Ice

municipios-brasileiros

:house_with_garden: Código IBGE, nome do município, capital, código UF, UF, estado, latitude e longitude das cidades brasileiras

pedlar

Algorithmic Trading Platform for Python

py4finopt

Python for Financial Optimization

python-deep-learning

python-machine-learning

qsforex

QuantStart Forex Backtesting and Live Trading

rnn-lstm-timeseries_forecasting

Time Series Forecasting using Recurrent Neural Network - LSTM model using Keras Library for deep learning.

rssa

R package for Singular Spectrum Analysis

simulated-bifurcation-algorithm

Python implementation of a Simulated Bifurcation algorithm in order to approximize the optimal asset allocations for a portfolio.