Develop your own trading system with practical guidance and expert
advice
In Building Algorithmic Trading Systems: A Trader's Journey From Data
Mining to Monte Carlo Simulation to Live Training, award-winning trader
Kevin Davey shares his secrets for developing trading systems that
generate triple-digit returns. With both explanation and demonstration,
Davey guides you step-by-step through the entire process of generating
and validating an idea, setting entry and exit points, testing systems,
and implementing them in live trading. You'll find concrete rules for
increasing or decreasing allocation to a system, and rules for when to
abandon one. The companion website includes Davey's own Monte Carlo
simulator and other tools that will enable you to automate and test your
own trading ideas.
A purely discretionary approach to trading generally breaks down over
the long haul. With market data and statistics easily available, traders
are increasingly opting to employ an automated or algorithmic trading
system--enough that algorithmic trades now account for the bulk of stock
trading volume. Building Algorithmic Trading Systems teaches you how
to develop your own systems with an eye toward market fluctuations and
the impermanence of even the most effective algorithm.
- Learn the systems that generated triple-digit returns in the World Cup
Trading Championship
- Develop an algorithmic approach for any trading idea using
off-the-shelf software or popular platforms
- Test your new system using historical and current market data
- Mine market data for statistical tendencies that may form the basis of
a new system
Market patterns change, and so do system results. Past performance isn't
a guarantee of future success, so the key is to continually develop new
systems and adjust established systems in response to evolving
statistical tendencies. For individual traders looking for the next leap
forward, Building Algorithmic Trading Systems provides expert guidance
and practical advice.
