Welcome to your FREE Algorithmic Trading resource where you will learn how to develop profitable algorithmic trading strategies and gain a career in quantitative trading.
This is a quick update post to let readers know that the pre-order release of Advanced Algorithmic Trading has had a major new content update. This brings the current release up to 363 pages. To access the new content customers simply need to follow the download link received in the original purchase email. If the download email has been misplaced then please email support@quantstart.com and the updated version will be sent out. Read more...
In a previous article the monthly rebalance feature of the open-source backtesting library QSTrader was demonstrated on a simplistic equities/bonds ETF mix portfolio. Read more...
Many institutional global asset managers are constrained by the need to invest in long-only strategies with zero or minimal leverage. This means that their strategies are often highly correlated to "the market" (usually the S&P500 index). While it is difficult to minimise this correlation without applying a short market hedge, it can be reduced by investing in non-equities based ETFs. Read more...
Last Tuesday I flew out to New York City, USA to give a talk at the Quantopian NYC Meetup and moderate a panel on "Programming Wars" at the Trading Show New York 2016. Both events were extremely interesting and I met a lot of great people. I want to write a brief summary of the trip as it brought to my attention some fascinating areas of quant finance research that I was not previously aware of. Read more...
This is a short post to let QuantStart readers know that I'll be speaking at some events in New York and Singapore over the next couple of months: Read more...