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market has to be declining or near a bottom (as would be expected on the basis of the seasonal buy) before a buy can occur, Likewise, a seasonal sell was not taken unless the market was near a top, as shown by a Fast %K greater than 75% As always, the standard exits were used Entries were executed at the open (Test 7), on a limit (Test S), or on a stop (Test 9) Optimization for these tests involved stepping the length of the moving averages (avglen) from 5 to 20 in increments of 5 (PI) and the displacement (disp) from 0 to 20 in increments of 1 (P2) For entry at the open, a moving average length of 15 and a displacement of 7 were best Entry on a limit was best with a length of 15 and a displacement of 6.

Some companies that have done this nd that CSR calls do not decrease, but that customers use the Web to get the information and call the CSR to close the deal This is wonderful! Sell parts and replacements Any established business can pro tably provide replacement parts through the Web Look at Hoovercom, where you can nd replacement parts that are not carried in any retail store Go to GEAppliancescom, where you can nd 50,000 parts that you can buy on the Web Travel sites can help your travel business Travel-related businesses can pro t from being on the Web even if they don t sell anything directly Hotels, car rental agencies, airlines, and amusement and theme parks can bene t I am writing this from Fort Lauderdale, Florida, where I am spending some time with my children and grandchildren.

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Entry on a stop required a length of 20 and a displacement of 9 On a per-trade basis, the use of confirmation by the Fast %K worsened the results for both sampling periods when entry was at the open or on a limit; with both of these orders, trades lost heavily in both samples When the confirmed seasonal was implemented using a stop order for entry, relatively profitable performance in both samples was seen In-sample, the average trade pulled $846 from the market, while the average trade pulled $1,677 out of the market in the verification sample In-sample, 41% of the trades were profitable and the annual return was 58% The statistical significance is not great, but at least it is better than chance; both long and short positions were profitable Out-of-sample, 44% of the trades were winners, the return on account was 19.

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6%, and there was a better than 77% chance that the model was detecting a real market inefficiency; both longs and shorts were profitable Compared with other systems, the number of trades taken was somewhat low There were only 292 trades in-sample and 121 out-ofsample All in all, we again have a profitable model Seasonality seems to have validity as a principle for entering trades The equity curve for entry at open showed a gradual decline until May 1989 It was then fairly flat until August 1993, when equity began to decline through the remainder of the in-sample period and most of the out-of-sample period The limit order was somewhat similar, but the declines in equity were less steep For the stop order, the picture was vastly different Equity declined at a rapid pace until May 1987.