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Revenue Repurchase rate Re nance rate Retention rate Customers Amount nanced by lease Total amount nanced Income before taxes Total income before taxes Costs Acquisition cost Marketing costs ($12) Total marketing & sales Pro t Discount rate NPV of pro t Cumulative NPV of pro t Lifetime value Years 1 3 45.20% 62.00% 28.00% 100,000 $30,000 $3,000,000,000 $1,452.22 $145,222,000 Years 4 6 47.90% 64.00% 30.70% 28,000 $32,000 $896,000,000 $1,582.92 $44,321,754 Years 7 9 49.90% 66.00% 32.90% 8,596 $34,000 $292,264,000 $1,725.38 $14,831,389

// perform other whole-series computations memcpy(exitatr, exitatrtabLmktindx1, sizeof(floati*nb); memcpy(savg. sa"gtabImktindxl. sizeof(floatl*nbi swiCch(modeltypeJ ( /I series for momentum model case 1: /I smoothing avg MO"A"g(sa"g,sa"g,matype,avglen,nb); for(cb = 1; cb <= nb; cbtt) ma2Lcbl = fabskz"g[cblI; /I avg deviation Mo" +"gmal, ma*, 1, 100, n!J); break; case 2: case 3: case 4: /I series for cro6so"er models forccb = 2; cb c= nb; cb++) sa"gLcbl += sa"gLcb-11; // integration I/ smoothing avg MovAvg(mal,savg,marype,avglen,nbl; M~"A"gLma2,mal,matype,a"glen,nb~: I/ croesover avg if(modeltype == 3 11 modeltype == 4) /I stochastic 08c StDchOBc(stoch,hi.lo,~~*,~,~,~b~; // g-bar Past %K break; default: nrerrori"~~~~SMOD: invalid modeltype"); 1

6,000,000 1,200,000 7,200,000

Several functions required to calculate lunar rhythms for any market in an adaptive manner precede the code implementing the trading model The implementation function, Model, follows the standard conventions: After declarations, parameters are copied into local variables for easier reference Comments indicate what the parameters control The hext block computes the SO-bar average true range (exitatrrab), used in the exits and for normalization, as well as the lunar seasonal series (savgrab), the predicted price changes for each bar These series are computed only once for each market and tabled; this may be done as no relevant parameters change from test to test as Model is repeatedly called A second block calculates the model-specific time series needed to generate entry signals If modeltype is 1, the simple momentum model is used; 2 = the crossover model; 3 = crossover with confirmation; and 4 = crossover with confirmation and inversion.

1,680,000 336,000 2,016,000

Among the series that may be computed are: smoothed lunar momentum, integrated lunar momentum (price-like series), moving averages for the crossover model, and Slow %K for models involving confnmation and inversion Depending on modeltype, several other parameters may become important One parameter, avglen, controls the length of all moving averages: For the momentum model, it controls the length of the centered triangular moving average; and for the crossover models, it controls the length of the two moving averages those models require Another parameter, disp, sets the displacement: This is the look-ahead used, eg, to compensate for the lag of the moving averages The parameter thresh is the threshold used in the momentum model for both short and long trades (short trades use the negative of thresh).

515,760 103,152 618,912

Variable matype controls the type of certain moving averages: 1 = simple, 2 = exponential, 6 = centered exponential, 7 = centered triangular; other moving averages are available, but are not used in the analyses After all series are calculated, a loop is entered that steps, day by day, through the market to simulate trading This loop contains code to update the simulator, determine the number of contracts, avoid trading on limit-locked days, etc The next block, appearing within the bat-stepping loop, generates entry signals The rules are determined by modeltype Finally, a block handles posting the appropriate trading order, as selected by the ordertype: 1 = entry at open, 2 = on limit, 3 = on stop..

C vitamin, 27, 40, 83, 116 Cabbage, 62 savoy, 174 spicy purple cabbage salad, 178 stuffed cabbage rolls with wild rice, 185 Calcium, 85, 130 Calcium D-glucarate, 110 Calorie intake management, 16 17, 32 33 CambridgeSoft, 213 Canadian College of Naturopathic Medicine, 213 Cancer detoxification strategies for cancer, 128 30 development of, 125 28 diagnosis, 130 31 relation to environment, v vi, 39 relation to food, v, vii (See also specific foods) relation to genetics, vi vii relation to radiation, v, 24 25 relation to sun, v, 24 25 relation to tobacco, v, 3, 20 23 supplements for cancer, 130 Cancer Information and Counseling Line (CICL), 131

$138,022,000 1 $138,022,000 $138,022,000 $1,380.22

Tests were run on four entry models: crossover, momentum, crossover with contir mation, and crossover with confirmation and inversions. Each model was studied with entry at open, on limit, and on stop. Table 9-l summarizes the results of all tests, broken down by sample, entry order, and model. For each model, there is a row of numbers containing the annualized portfolio return, and a row with the average portfolio dollar profit or loss per trade. Averages across all order types for in-sample and out-of-sample performance are in the two rightmost columns. The last two rows contain the average across aI models for each type of order.

$ 42,305,754 1.33 $ 31,808,838 $169,830,838 $1,698.31