Скачать книгу

convinced that you want to become a quantitative trader, a number of questions immediately follow: How do you find the right strategy to trade? How do you recognize a good versus a bad strategy even before devoting any time to backtesting them? How do you rigorously backtest them? If the backtest performance is good, what steps do you need to take to implement the strategy, in terms of both the business structure and the technological infrastructure? If the strategy is profitable in initial real-life trading, how does one scale up the capital to make it into a growing income stream while managing the inevitable (but, hopefully, only occasional) losses that come with trading? These nuts and bolts of quantitative trading will be tackled in Chapters 2 through 6.

Type URL
Academic
Business schools' finance professors' websites www.hbs.edu/research/research.html
Social Science Research Network www.ssrn.com
National Bureau of Economic Research www.nber.org
Business schools' quantitative finance seminars www.ieor.columbia.edu/seminars/financialengineering
Quantpedia (aggregator of all academic papers on quantitative trading strategies!) quantpedia.com
Financial blogs and podcasts
Flirting with Models www.thinknewfound.com
Mutiny Fund mutinyfund.com/podcast/
Chat with Traders chatwithtraders.com
Eran Raviv eranraviv.com
Sibyl/Godot Finance godotfinance.com
Party at the Moontower moontowermeta.com
My own! epchan.blogspot.com
Trader forums
Elite Trader www.Elitetrader.com
Wealth-Lab www.wealth-lab.com
Twitter
Benn Eifert @bennpeifert
Corey Hoffstein @choffstein
Quantocracy (retweet of new articles) @Quantocracy
Mike Harris @mikeharrisNY
Euan Sinclair @sinclaireuan
My own! @chanep
Newspaper and magazines
Stocks, Futures and Options magazine www.sfomag.com

Скачать книгу