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culated, some of them on the basis of the information present in performance summaries. Among these statistics (Stendahl, 1999) are net positive outliers, net negative outliers, select net profit (calculated after the removal of outlier trades), loss ratio (greatest loss divided by net profit), run-up-t&rawdown ratio, longest flat period, and buy-and-hold return (useful as a baseline). Finally, some reports also contain a text-based plot of account equity as a function of time. To the degree that history repeats itself, a clear image of the past seems like an excellent foundation from which to envision a likely future. A good performance summary provides a panoramic view of a trading method s historical behavior. Figures on return and risk show how well the system traded on test data from the historical period under study. The Sharpe Ratio, or annualized risk to reward, measures return on a risk- or stability-adjusted scale. T-tests and related statistics may be used to determine whether a system s performance derives from some real market inefficiency or is an artifact of chance, multiple tests, or inappropriate optimization. Performance due to real market inefficiency may persist for a time, while that due to artifact is unlikely to recur in the future. In short, a good performance summary aids in capturing profitable market phenomena likely to persist; the capture of persistent market inefficiency is, of course, the basis for any sustained success as a trader. This wraps up the discussion of one kind of report obtainable within most trading simulation environments. Next we consider the other type of output that most simulators provide: the trade-by-trade report.



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Figure 5-20 When one station transmits, all stations hear the message. This can result in significant waste of bandwidth.





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intelligent enough to know that the traffic does not have to be forwarded to the other ports. Similarly, if the sales employee now sends a message to someone in shipping, the bridge recognizes that the sender and receiver are on different segments and, thus, forwards the message to the appropriate port, using address information in a table that it maintains (the filter/forward database). Bridges operate at Layer Two of the OSI Model and, as such, are frame switches. Following close on the heels of bridging is LAN switching. LAN switching qualifies as bridging on steroids. In LAN switching, the filter/forward database is distributed that is, a copy of it exists at each port, which implies that different ports can make simultaneous traffic handling decisions. This allows the LAN switch to implement full-duplex transmission, reduce overall throughput delay, and, in some cases, implement per-port rate adjustment. The first 10 Mbps Ethernet LAN switches emerged in 1993, followed closely by Fast Ethernet (100 Mbps) versions in 1995, and Gigabit Ethernet (1,000 Mbps) switches in 1997.

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Illustrative trade-by-trade reports were prepared using the simulators contained in TradeStation (Table 2-3) and in the C-Trader toolkit (Table 2-4). Both reports pertain to the same simple moving-average crossover system used in various ways throughout this discussion. Since hundreds of trades were taken by this system, the original reports are quite lengthy. Consequently, large blocks of trades have been edited out and ellipses inserted where the deletions were made. Because these reports are presented merely for illustration, such deletions were considered acceptable. In contrast to a performance report, which provides an overall evaluation of a trading system s behavior, a detail or trade-by-trade report contains detailed information on each trade taken in the simulated account. A minimal detail report contains each trade s entry and exit dates (and times, if the simulation involves intraday data), the prices at which these entries and exits occurred, the positions held (in numbers of contracts, long or short), and the profit or loss resulting from each trade. A more comprehensive trade-by-trade report might also provide information on the type of order responsible for each entry or exit (e.g., stop, limit, or market), where in the bar the order was executed (at the open, the close, or in

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interface elements. What you need, then, is a way to get the user interface thread to make the user interface modification. This happens using something called the Dispatcher. We have already seen the use of Dispatcher.BeginInvoke earlier in this chapter to access the user interface elements.

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between), the number of bars each trade was held, the account equity at the start of each trade, the maximum favorable and adverse excursions within each trade, and the account equity on exit from each trade. Most trade-by-trade reports contain the date (and time, if applicable) each trade was entered, whether a buy or sell was involved (that is, a long or short position established), the number of contracts in the transaction, the date the trade was exited, the profit or loss on the trade, and the cumulative profit or loss on all trades up to and including the trade under consideration. Reports also provide the name of the order on which the trade was entered and the name of the exit order. A better trade-by-trade report might include the fields for maximum favorable excursion (the greatest unrealized profit to occur during each trade), the maximum adverse excursion (the largest unrealized loss), and the number of bars each trade was held. As with the performance summaries, there are differences between various trade-by-trade reports with respect to the ways they are formatted and in the assumptions underlying the computations on which they are based. While the performance summary provides a picture of the whole forest, a good trade-by-trade report focuses on the trees. In a good trade-by-trade report, each trade is scrutinized in detail: What was the worst paper loss sustained in this trade What would the profit have been with a perfect exit What was the actual profit (or loss)

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