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when attempting to code a correct implementation for Slow %K in TradeStation s Easy Language, we ran into problems: It appears that TradeStation can give inaccurate results, without any warning, when one user function calls another. When we modified our code so intermediate variables were computed (thus avoiding the need to have nested calls), correct results were obtained. The version of TradeStation used for those tests was 4.02, dating from July 29, 1996. The following code implements most of the oscillator-based entry models that underlie the tests. The actual computation of the oscillators is handled by calls to external functions.

To these CRM or database costs, we must add the cost of communications with customers and prospects. After all, if we are going to make the right offer to the right customer at the right time, we have to communicate the offer to customers personally, or what is the warehouse for Let s assume that our rm has been collecting email names to keep the cost of communications down. It has email names for half of its customers. Table 2-3 shows the total CRM and database cost, assuming an average of only three communications per customer per year. Note that when CRM or database marketing is used properly, some likely customers may get more than four communications a year, and some will get only one. Table 2-1 Warehouse Cost

static Oid MD&l (float *parms. float l dt, float *opn, float hi, float *lo, float ~1s. float *vol, float *oi, float +dlrv, int nb, TRDSIM &tS. float *q&31 { // ,, /I /I /I I/ // // /I /I /I // // I/ Implements the oscillator-based entry models to be tested File = XllmodOl.c vector II. .MAxPRM, Of parameters wrm= vector L1. .nbl of dates in WMMDD form dt ector [I. .nbl Of opening prices opn vector II. .rlbl Of high pricea hi - vector Ll. .*I Of low prices 10 vector [I. .nbl Of closing prices ClS vector 11. .nhl Of volumes vol vector [I. .x-lb1 Of open interest numbers oi arv vector Cl. .nhl of average dollar volatilities number Of bars in data series or vectors nb trading simulator class instance C6 vector Cl. .*I of closing equity levels eqc1s

1 pound Idaho, Yukon gold, or red potatoes, peeled and sliced 1 2 teaspoon salt 1 4 cup flaxseed oil 1 4 cup extra-virgin olive oil Combine ingredients and spread evenly in baking dish. Bake until soft in a 400-degree oven for approximately sixty minutes. This is a delicious addition to almost any meal.

Cost Cost to build warehouse Amortize over 3 years Annual maintenance Annual cost $10,000,000 $ 4,000,000 $ 1,500,000 $ 5,500,000

,, declare local GCracCh variables static int rc, cb, ncontract.9, maxhold, lenl, len2, len3; static int modeltype, ordertype, osctype. signal, i, j, k; static float mmatp, ptlim. stpprice, limprice, tmp; static float exitatr [MAxBAR+ ; static float sigline mAxBAR+ , oscline wAxBAR+ i static float upperbandMAXBAR+ll , lowerbandWhXBAR+11 ;

Cost Cost to build database Amortize over 3 years Annual maintenance Annual cost $1,500,000 $ 600,000 $1,000,000 $1,600,000

The logic of the code is very similar to the code used to test moving averages. First, a number of parameters are copied to local variables to make them easier to understand and refer to in the code that follows. A check is then made for invalid combinations of parameters; e.g., for the MACD (o&ype = 4), the length of the shorter moving average must be less than the longer moving average; otherwise the test is skipped. In the next large block of code, osctype selects the type of oscillator that will be computed (1 = fast Stochastics, 2 = slow Stochastics, 3 = classic RSI, 4 = classic MACD). The oscillator (oscline) is then computed as a data series or vector; any additional curves associated with it, such as a signal line (s&dine) or slower version of the oscillator, are generated; and upper (upperband)

Communications Quantity Rate DB/warehouse Mail communications Email communications CRM/database costs 3,000,000 3,000,000 $0.60 $0.04 Per year 2 4 CRM annual cost $5,500,000 $3,600,000 $ 480,000 $9,580,000 Database annual cost $1,600,000 $3,600,000 $ 480,000 $5,680,000

and lower (lowerband) thresholds are either set or computed For the Stochastics, the standard thresholds of 80 and 20 are used For the RX, 70 and 30 are specitied (also standard) Although the MACD normally has no thresholds, thresholds placed 15 mean deviations above and below zero Finally, the process of stepping through the data, bar by bar, is begun Two main blocks of code are of interest in the loop for stepping through the data The first block generates a buy or sell signal, as well as limit and stop prices for the specified, oscillator-based entry model The mod&p parameter selects the model to use: I = overbought/oversold model, 2 = signal line model, and 3 = divergence model The oscillator used by the model to generate the buy and sell signals is the one computed earlier, as selected by osctype.

Without CRM or database marketing Customers Annual sales per customer Sales Pro t per sale Gross pro t CRM/database cost Net pro t 6,000,000 $150 $900,000,000 10% $90,000,000 $0 $90,000,000 With CRM 6,000,000 $165 $990,000,000 10% $99,000,000 $ 9,580,000 $89,420,000 With database marketing 6,000,000 $165 $990,000,000 10% $99,000,000 $ 5,680,000 $93,320,000