Pinned Repositories
theMLtrader's Repositories
theMLtrader/airdrop
Airdrop csv files for initial token distribution
theMLtrader/awesome-remix
theMLtrader/beakerx
Beaker Extensions for Jupyter Notebook
theMLtrader/chapter1July2021
theMLtrader/cook-landing-page
theMLtrader/cook-leverage
theMLtrader/cook-token
theMLtrader/covalent-api-example
Covalent API example
theMLtrader/Data-Science--Cheat-Sheet
Cheat Sheets
theMLtrader/discrete_mean_field_game
Experiments on a discrete mean field game model of population dynamics with reinforcement learning
theMLtrader/EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
theMLtrader/em-explanation
Notebooks explaining the intuition behind the Expectation Maximisation algorithm
theMLtrader/fastai
The fastai deep learning library, plus lessons and tutorials
theMLtrader/FinancePy
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
theMLtrader/ftx
Library for connecting to the FTX API.
theMLtrader/github-trending-repos
Track GitHub trending repositories in your favorite programming language by native GitHub notifications!
theMLtrader/hanabi-learning-environment
theMLtrader/mastering-avalanche
Mastering Avalanche 1st Edition - The Internet of Finance
theMLtrader/merkle-distributor
📦 A smart contract that distributes a balance of tokens according to a merkle root
theMLtrader/mfrl
Mean Field Multi-Agent Reinforcement Learning
theMLtrader/mlfactor.github.io
Website dedicated to a book on machine learning for factor investing
theMLtrader/Nash-DQN
Deep Reinforcement Learning for Nash Equilibria
theMLtrader/pdblp
pandas wrapper for Bloomberg Open API
theMLtrader/practicalAI
📚 A practical approach to learning and using machine learning.
theMLtrader/pystore
Fast data store for Pandas time-series data
theMLtrader/r-ggplot-project
theMLtrader/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
theMLtrader/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
theMLtrader/short-time-series
Code and data to reproduce the transfer of a learned posterior on one time series as a new prior on a related time series to model yearly seasonality for a short time series. Implemented in R and Stan.
theMLtrader/statistical-arbitrage-18-19
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach (proposed).