Algorithmic trading review

The competitive nature of AT, the scarcity of expertise, and the vast profits potential, makes for a secretive community where implementation details are difficult to find.

[1]  Ernest P. Chan.  Quantitative Trading: How to Build Your Own Algorithmic Trading Business , 2008 .

[2]  Attilio Meucci,et al.  Review of Statistical Arbitrage, Cointegration, and Multivariate Ornstein-Uhlenbeck , 2009 .

[3]  Ludwig B. Chincarini,et al.  Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management , 2006 .

[4]  Giuseppe Nuti,et al.  Algorithmic Trading , 2011, Computer.

[5]  Narasimhan Jegadeesh,et al.  Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency , 1993 .

[6]  A. Atak.  The Future of Computer Trading in Financial Markets , 2011 .

[7]  Kevin Skadron,et al.  Accelerating Compute-Intensive Applications with GPUs and FPGAs , 2008, 2008 Symposium on Application Specific Processors.

[8]  P. Kaufman.  New Trading Systems and Methods , 2005 .

[9]  Peng Wang,et al.  Using a Z-score Approach to Combine Value and Momentum in Tactical Asset Allocation , 2012 .

[10]  Dave Cliff,et al.  The Future of Computer Trading in the Financial Markets: Working Paper , 2011 .

[11]  Douglas S. Ehrman,et al.  The Handbook of Pairs Trading: Strategies Using Equities, Options, and Futures , 2006 .

[12]  Rishi K. Narang.  Inside the Black Box: The Simple Truth About Quantitative Trading , 2009 .

[13]  Jason Laws,et al.  Applied Quantitative Methods for Trading and Investment: Dunis/Trading and Investment , 2005 .

[14]  Robert Pardo,et al.  The Evaluation and Optimization of Trading Strategies , 2008 .

[15]  C. Dunis,et al.  Applied quantitative methods for trading and investment , 2003 .

[16]  Barry W. Johnson.  Algorithmic trading & DMA : an introduction to direct access trading strategies , 2010 .