Here is a message written by my friend Dave Chamness, describing how the S&P fails his objective measuries of "trending." ================================================================== The basic idea behind technical analysis is to look at the past in order to predict the future. One of the simplest questions we can answer is what happens after the market goes up in some time frame versus what happens after it goes down. A trending market goes up more than average after it has been going up, and down more than average after it has been going down. On the other hand, the S&P 500 does the opposite. "Buy the dips" works on the S&P 500 futures. Consider the result below and ask yourself whether you want to buy after a rise or after a drop: S&P_500 3233 days of data, 588.200000 last close. Box Program, sort market into boxes by month, week, day change. 10 days, 5 days Avg change Count Total $ change up up 21.313348 1401 29860.000000 up down -50.402174 460 -23185.000000 down up 37.985437 412 15650.000000 down down 143.618143 948 136150.000000 Best total for all boxes correct = 204.8 K dollars 20 days, 10 days Avg change Count Total $ change up up -4.290541 1480 -6350.000000 up down 147.679814 431 63650.000000 down up 40.583554 377 15300.000000 down down 93.716143 923 86500.000000 Best total for all boxes correct = 171.8 K dollars The Avg change column above is the average daily change in S&P 500 futures, measured in dollars, on the day after an observation that the market moved up or down in the past N days, listed in the left 2 columns. There are 4 possibilities for any 2 time frames, since either time may be up or down in the past. Here is another measure of Trend, as Alex Saitta has described in TASC. Measure the standard deviation of the market over various times. A random walk will show a standard deviation which increases as the square root of the number of days. A trending market will show a standard deviation which increases faster, and an anti- trending, or reversing market, will show a standard deviation which increases slower than the random walk. Clearly, the S&P 500 standard deviation increases slower than random. S&P_500 3233 days of data, 588.200000 last close. Trend measure: standard deviation over various times Days Std dev Expected Actual 1 0.008899 1 1.000000 4 0.016235 2 1.824386 9 0.023002 3 2.584797 16 0.029321 4 3.294872 25 0.035648 5 4.005789 36 0.042230 6 4.745422 49 0.049262 7 5.535622 64 0.055698 8 6.258924 81 0.062575 9 7.031621 100 0.068388 10 7.684899 "Looks like a trend" is not enough. Do reds and blacks trend in roulette? Sometimes they look like they do. But it is really random. We must measure mathematically to answer this question properly. And the mathematics above tell me that the S&P 500 tends to reverse more often than it trends. Another way to measure trend is to see whether simple trend following systems work on the market. Moving average and breakout are the two simplest trend following systems. They work on Pound, Coffee, Crude, D Mark, Dollar, Eurodollar, Orange Juice, Lumber, Swiss Franc, T Bill, T Bond, and Yen. But moving average and breakout both lose money on S&P 500. S&P_500 3233 days of data, 588.200000 last close. Moving Average Trading, Buy on close crossing up, sell crossing down. Commission is 50.00 dollars 50 day moving average, buy on close above it, sell below. tot=-96875.00, -7613.56 dollars/year, 257 trades, 14 percent win -2.59 percent per year return unleveraged. Average win = 7365.13, Average loss = 1720.32 Average win/loss ratio = 4.281258 100 day moving average, buy on close above it, sell below. tot=-77400.00, -6180.13 dollars/year, 167 trades, 13 percent win -2.10 percent per year return unleveraged. Average win = 10080.68, Average loss = 2063.28 Average win/loss ratio = 4.885765 150 day moving average, buy on close above it, sell below. tot=-19025.00, -1543.74 dollars/year, 127 trades, 12 percent win -0.52 percent per year return unleveraged. Average win = 12278.12, Average loss = 1941.22 Average win/loss ratio = 6.324965 200 day moving average, buy on close above it, sell below. tot=72025.00, 5940.70 dollars/year, 81 trades, 18 percent win 2.02 percent per year return unleveraged. Average win = 12598.33, Average loss = 1771.97 Average win/loss ratio = 7.109791 250 day moving average, buy on close above it, sell below. tot=58700.00, 4922.84 dollars/year, 83 trades, 15 percent win 1.67 percent per year return unleveraged. Average win = 13507.69, Average loss = 1670.00 Average win/loss ratio = 8.088439 These results are dismal, compared to buy and hold. Moving average is a failure on S&P 500. How could a trend following system fail on a trending market? Maybe it is not a trending market. Wanna try breakout? S&P_500 3233 days of data, 588.200000 last close. Breakout Intraday Trading Program, Buy above old high, sell below old low. Commission is 100.00 dollars 10 day lookback, buy above highest high, sell below lowest low. tot=-195175.00, -15101.75 dollars/year, 224 trades, 28 percent win -5.13 percent per year return unleveraged. Average win = 4864.06, Average loss = 3165.47 Average win/loss ratio = 1.536601 20 day lookback, buy above highest high, sell below lowest low. tot=-75975.00, -5878.60 dollars/year, 114 trades, 30 percent win -2.00 percent per year return unleveraged. Average win = 6765.00, Average loss = 3958.86 Average win/loss ratio = 1.708825 30 day lookback, buy above highest high, sell below lowest low. tot=-66825.00, -5170.61 dollars/year, 75 trades, 29 percent win -1.76 percent per year return unleveraged. Average win = 9647.73, Average loss = 5265.57 Average win/loss ratio = 1.832230 40 day lookback, buy above highest high, sell below lowest low. tot=-92025.00, -7120.47 dollars/year, 61 trades, 27 percent win -2.42 percent per year return unleveraged. Average win = 10957.35, Average loss = 6325.00 Average win/loss ratio = 1.732388 50 day lookback, buy above highest high, sell below lowest low. tot=-62425.00, -4830.16 dollars/year, 49 trades, 28 percent win -1.64 percent per year return unleveraged. Average win = 13950.00, Average loss = 7363.57 Average win/loss ratio = 1.894461 60 day lookback, buy above highest high, sell below lowest low. tot=54675.00, 4230.50 dollars/year, 33 trades, 36 percent win 1.44 percent per year return unleveraged. Average win = 16110.42, Average loss = 6602.38 Average win/loss ratio = 2.440092 70 day lookback, buy above highest high, sell below lowest low. tot=-7325.00, -566.77 dollars/year, 31 trades, 35 percent win -0.19 percent per year return unleveraged. Average win = 14690.91, Average loss = 8446.25 Average win/loss ratio = 1.739341 80 day lookback, buy above highest high, sell below lowest low. tot=9725.00, 752.48 dollars/year, 27 trades, 40 percent win 0.26 percent per year return unleveraged. Average win = 14075.00, Average loss = 9068.75 Average win/loss ratio = 1.552033 How could breakout fail on a trending market? Maybe it's not a trending market. Here we have 4 totally different measures which all agree on this conclusion: The S&P 500 does not trend, rather it tends to reverse its past movements. Dave Chamness