Everybody would agree on one thing: the nervousness among traders may lead to massive sells of stocks, the avalanche of prices, and huge losses. We have witnessed this sort of behaviour many times...
There is an old saying Be careful what you wish for. Many quants and traders wished for a long time for a better quality of publicly available data. It wasn’t an easy task to accomplish but with a minimum of effort, it has become possible to get all what you truly dreamt of...
The risk and return are the two most significant quantities investigated within the investment performance. We expect the return to be highest at the minimum risk...
Do you remember my post on Get the Data of Fund Performance directly into Excel utilizing VBA and Google? If not, have a look as this time we will do the same but in Python...
Regardless of who you are, either an algo trader hidden in the wilderness of Alaska or an active portfolio manager in a large financial institution in São Paulo, your investments are the subject to sudden and undesired movements in the markets. There is one fear...
Forecasting risk in algorithmic stock trading is of paramount importance for everyone. You should always look for the ways how to detect sudden price changes and take immediate actions to protect your investments...
After a longer while, QuantAtRisk is back to business. As an algo trader I have been always tempted to test a gap-on-open trading strategy. There were various reasons standing behind it but the most popular one was always omni-discussed: good/bad news on the stock. And what...
Some quant problems require an intensive work with mathematical (time-)series given initial conditions. In this short lesson on Python, let’s consider the following problem and solve it analytically and with aid of Python...
One of the most devastating feelings that may hit you, and I mean it!, hit you hard – is the feeling of finding out that your job application has been turned down. Something went wrong and you don’t know what was it...
Studying a new programming language is an adventurous journey. It takes time in case of Python. Even for me. Not every concept is easy to grasp and testing a piece of code with its endless modifications may take a longer while...
Someone, not so long time ago, turned my attention from Matlab coding towards Python programming. He used a strong argument on the enormous flexibility of the language and equally dynamic capabilities as contrasted with Matlab...
Programming in Python requires a decent text editor. A decent is a powerful word here...
Python does miracles. Really. The more I’m diving into the abilities of this programming language the more I’m left speechless. This is this sort of feeling when you can swim among the sharks in the ocean and one day you jump off the plane and discover skydiving for the very first time...
Financial Risk Management, Modeling, and Algorithmic Trading for Quants There are number of ways on observing any problem, As for the First, you need to define it well, meaning Quantify it by mathematical models, so you have not lost yourself within the data observed, Second...
Trade automation is a tale of two bond markets NEW YORK (MarketWatch) Trading in the bond market may be starting to catch up to the times, but we’re far from a world where all bond prices are quoted by R2-D2. The New York Times on Monday profiled J.P. Morgan’s JPM, +1...
"THE DIFFERENCE BETWEEN CORRELATION AND REGRESSION Correlation analysis compares how two random variables vary together. In regression we assume the values taken by the dependent variable are influenced or caused by the independent variables...
Let’s leave the fascinating world of algebra and Matlab for a while and let’s see what exciting we can do from the Excel level. Microsoft Excel has this ‘thanks God’ programming toolkit known as VBA (Visual Basic for Application) that adds a soul of coding into a mortal body of spreadsheets...
(march 4, 2014 by pawel lachowicz) Working in the superannuation industry in Australia has some great advantages. A nice atmosphere at work, gym sessions with colleagues during lunch time, endless talks about girls after hours. However, as Brian Tracy once said: When you go to work, you work...
1. In this screencast, I use QuantLib to forecast a future interest-rate curve based on today's rates. 2. In this screencast, I use QuantLib's random-number generators to show why dimensionality matters in Monte Carlo simulations...
