Financial Engineering and Signal Processing Trading Database System

Banking, Finance and Investment Industry

FINANCIAL SYSTEM DEVELOPER: Francis Lim

Project Categories:  Data Cleansing and Checking, Data-Mining, Financial Data Analysis,  Financial Intelligence, Financial Modelling and Simulation, Financial Signal Processing, Historical Back-Testing, Investment Research, Quantitative Analysis, Portfolio Management, Trading Signal and Reporting.

Financial engineering is the application of mathematical methods to the solution of problems in finance. It is also known as financial mathematics, mathematical finance, and computational finance. Financial engineering draws on tools from applied mathematics, computer science, statistics, and economic theory.

Financial signal processing is a branch of signal processing technologies which applies to financial signals. They are often used by quantitative investors to make best estimation of the movement of equity prices, such as stock prices, options prices, or other types of derivatives.

I've developed a Financial Signal Processing Stock Trading Database System that downloads stock quotes over 20,000 companies and over 150,000 ticker symbols of stocks, ETFs, futures, indices, mutual funds, currency pairs, warrants and bonds, across many international exchanges. 

This program can download multiple historical stock quotes from Yahoo Finance. The stock quotes and technical indicators include market capitalization, day range, week range, exponential moving average, standard deviation, average true range, moving average convergence divergence and much more. This program and data can be used for quantitative analysis, charting, financial signal processing, historical back-testing, investment research, portfolio optimization and much more.