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Mick's Projects

2dks icon 2dks

2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit

adv_fin_ml icon adv_fin_ml

Advances in Financial Machine Learning by Marcos Lopez De Prado

adv_fin_ml_exercises icon adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

attention-cnn icon attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

backtesting.py icon backtesting.py

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

bitcoin_volatility_forecasting icon bitcoin_volatility_forecasting

GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management

bocd icon bocd

Python implementation of Bayesian online changepoint detection

changepoint-detection icon changepoint-detection

Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.

dtaidistance icon dtaidistance

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

filterpy icon filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

fmpsdk icon fmpsdk

SDK for Financial Modeling Prep's (FMP) API

geppy icon geppy

A framework for gene expression programming (an evolutionary algorithm) in Python

gvar icon gvar

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

lstmvis icon lstmvis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

mathematics-statistics-for-data-science icon mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

ml-agents icon ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

nn_vis icon nn_vis

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

pybit icon pybit

Python3 API connector for Bybit's HTTP and Websockets APIs.

pyfolio icon pyfolio

Portfolio and risk analytics in Python

pykalman icon pykalman

Kalman Filter, Smoother, and EM Algorithm for Python

research icon research

Notebooks based on financial machine learning.

sdepy icon sdepy

SdePy: Numerical Integration of Ito Stochastic Differential Equations

vectorbt icon vectorbt

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

yfinance icon yfinance

Download market data from Yahoo! Finance's API

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