Implementation of the DDPG algorithm for Optimal Finance Trading
-
Updated
Sep 15, 2019 - Jupyter Notebook
Implementation of the DDPG algorithm for Optimal Finance Trading
Python library to implement advanced trading strategies using machine learning and perform backtesting.
Demo project of creating an interactive analytical tool for stock market using CAPM.
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
Fama-French models, idiosyncratic volatility, event study
modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders
This notebook provides some skills to perform financial analysis on economical data.
Python beta calculator that retrieves stock and market data and provides linear regressions.
Master Degree Coursework: Econometrics I
Finance R program - bond pricing, option pricing, and others
robo-advisor is a quantitative analysis script written in Python that generates the least volatile portfolio given a list of stocks, with the goal of a 0% return.
A toolkit for asset pricing research
MGT 595 coursework
Add a description, image, and links to the capm topic page so that developers can more easily learn about it.
To associate your repository with the capm topic, visit your repo's landing page and select "manage topics."