One of the problems witb Katz’s early trading was that his “system” only provided
entry signals, leaving the determination of exits to subjective judgment; it was not,
therefore, a complete, mechanical trading system. A complete, mechanical trading
system, one that can be tested and deployed in a totally objective fashion, without
requiring human judgment, must provide both entries and exits. To be truly complete,
a mechanical system must explicitly provide the following information:
1. When and how, and possibly at what price, to enter the market
2. When and how, and possibly at what price, to exit the market with a loss
3. When and how, and possibly at what price, to exit the market with a profit
The entry signals of a mechanical trading system can be as simple as explicit
orders to buy or sell at the next day’s open. The orders might be slightly more
elaborate, e.g., to enter tomorrow (or on the next bar) using either a limit or stop.
Then again, very complex contingent orders, which are executed during certain
periods only if specified conditions are met, may be required-for example, orders
to buy or sell the market on a stop if the market gaps up or down more than so
many points at the open.
A trading system’s exits may also be implemented using any of a range of
orders, from the simple to the complex. Exiting a bad trade at a loss is frequently
achieved using a money management stop, which tertninates the trade that has
gone wrong before the loss becomes seriously damaging. A money management
stop, which is simply a stop order employed to prevent runaway losses, performs
one of the functions that must be achieved in some manner by a system’s exit strategy;
the function is that of risk control. Exiting on a profit may be accomplished
in any of several different ways, including by the use of pm@ targets, which are
simply limit orders placed in such a way that they end the trade once the market
moves a certain amount in the trader’s favor; trailing stops, which are stop orders
used to exit with a profit when the market begins to reverse direction; and a wide
variety of other orders or combinations of orders.
In Katz’s early trading attempts, the only signals available were of probable
direction or turning points. These signals were responded to by placing buy-atmarket
or sell-at-market orders, orders that are often associated with poor fills and
lots of slippage. Although the signals were often accurate, not every turning point
was caught. Therefore, Katz could not simply reverse his position at each signal.
Separate exits were necessary. The software Katz was using only served as a partially
mechanical entry model; i.e., it did not provide exit signals. As such, it was
not a complete mechanical trading system that provided both entries and exits.
Since there were no mechanically generated exit signals, all exits had to be determined
subjectively, which was one of the factors responsible for his trading problems
at that time. Another factor that contributed to his lack of success was the
inability to properly assess, in a rigorous and objective manner, the behavior of the
trading regime over a sufficiently long period of historical data. He had been flying
blind! Without having a complete system, that is, exits as well as entries, not
to mention good system-testing software, how could such things as net profitability,
maximum drawdown, or the Sharpe Ratio be estimated, the historical equity
curve be studied, and other important characteristics of the system (such as the
likelihood of its being profitable in the future) be investigated? To do these things,
it became clear-a system was needed that completed the full circle, providing
complete “round-turns,” each consisting of an entry followed by an exit.














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