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Re: THE VORTEX AWAITS YOU



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MB wrote

>COME GET SUCKED IN...

Thanks to Gary Fritz for forwarding this to the list in January -  the
subject was the illusion of trend

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