sunsetcoder's repositories
finance_ml
Advances in Financial Machine Learning
machine-learning-asset-management
Machine Learning in Asset Management
py-market-profile
A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
Watch-Me-Build-a-Trading-Bot
This is the code for "Watch Me Build a Trading Bot" by Siraj Raval on Youtube
adv-financial-ml-marcos-exercises
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
awesome_time_series_in_python
This curated list contains python packages for time series analysis
blog
Source code for my personal blog
financial-data-structures
Create structured financial data in the form of time, tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's Advances in Financial Machine Learning textbook.
Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
presentations
Slide show presentations regarding data driven investing.
python-patterns
A collection of design patterns/idioms in Python
qdownload
IQFeed CSV market data download tool
quant
Quantitative Analysis Research see more at https://teddykoker.com
RLNonStationary
Demo for the application of RL to non-stationary effects
trade-frame
c++ based application for testing options based automated trading ideas using DTN IQ real time data feed and Interactive Brokers (TWS API) for trade execution.
UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification