commodities blog
Get the latest
information on commodity trading. . . .
How many trades are needed for statistical
validity?
Many traders
ask how reliable is their track-record as far as statistical
validity goes.
They may see some statistics on seasonal trades showing
a market was up from April to June during 12 of the
last 14 years.
They may have experience with their own trading
system showing 8 of 9 winners following say a 5
unit moving average crossing over a 9 unit moving average.
None of these are valid from a statistical validity
standpoint. That's because according to mathematical
experts and statisticians a minimum of 30 occurrences
are required for statistical validity.
Please keep this in mind when evaluation a trading
system. Anything less than 30 samples is not statistically
accurate.
Secrets of time durations of profitable & losing
day-trades

Most successful daytrades last approximately 7-minutes.
That assumes the trader is using a reasonable profit
objective and exiting the trade as his profit target
gets hit.
Most losing daytrades last approximately 45-minutes.
That’s because the trader
relies on hope once he sees the trade appearing to fail.
He hangs on to the losing trade hoping it will turn
around, finally the trade loss becomes too big, forcing
him to exit the losing trade, unfortuntely likely resulting
in considerably more
losing trades.
Secrets of why Seasonal Trades Frequently Fail
Most seasonal trades fail. I am sure you have seen
all the fabulous statistics on so called “seasonal
trades” by the seasonal trade experts who sell
books and newsletters on this type of commodity
trading. For example, statistics showing if you
would buy April Live Cattle on a specific date in October
and hold it until a specific date in February, it results
in a nice profit 18 out of the last 20 years.
The truth is this type of trade is of dubious value
and frequently fails. The reason is the dates used in
the statistics are average dates based on computer analysis
of the trades. This is very similar to optimization
of technical indicators, something which is also of
very dubious value. The dates may be off by a wide margin,
either too early or too late depending on the year.
This is why the trader finds it difficult, if not impossible,
to make money on seasonal trades.
A Simple But Very Profitable Approach
For Trading Commodity Futures

We have been using this trading methodology to trade the commodity
markets successfully for some time with the possibilty
of achieving considerably
more winning trades vs losses. The trading method
is really quite simple and easy, but can be surprisingly
profitable.
It involves buying higher swing-lows and selling lower
swing-highs. Also known as pivot-points.
A definition of these swing-highs and swing-lows is
appropriate here:
A swing-high is a high bar with lower bars on
both sides of it.
A swing-low is a low bar with higher bars on
both sides of it.
The more lower bars to the left of a swing-high
the better.
The more higher bars to the left of the swing-low
the better.
That makes them more significant and presumably more
powerful swing points. However, only one bar on either
side is acceptable (but two or more to the left are
usually stronger signals).
My trading methodology requires two (or more) consecutive
swings, with the second one being a higher swing-low
than the preceding one for a buy. Alternately, the second
swing-high must be a lower swing-high than the preceding
one for a sell.
The actual long trade entry takes place on a buy-stop
two ticks above the high price of the last bar (the
bar following the swing-low pivot bar), for a buy.
The short trade takes place on a sell-stop at two-ticks
under the low price of the last bar (the bar following
the swing-high pivot bar), for a sell.
Your stop-loss order is placed 6-ticks under the lowest
price of the last swing-low bar on a long trade.
The short trade stop goes 6-ticks above the highest
price of the last swing-high bar. You can make some
really outstanding money using this simple, but very
effective commodities trading methodology. By
David Stone |