DAY TRADER

How Much Money Do I Really Need for Commodity Futures Trading?

I am sure you have seen those late night informercials how to make a million dollars in commodity futures trading. How about an option strategy buying heating oil in the summer because it has to go up in the winter. Well guess what, it does not work that way. Commodity futures trading is the hardest yet easiest thing to do. Too many think this is a get rich quick idea. Well, it is a quick rich slow idea, boring, aggravating at times and simply one has to have enough money to survive the most common choppy directionless markets. Only once in a while are there big moves, unexpected powerful ones. Where were the experts predicting the recent stock market crash( however trend following commodity trading advisors made a fortune). How about the experts who were calling for crude oil to go to $200 ( who knows it might..but again trend following commodity trading advisors made a fortune).

After being involved as an investor as well as a commodity trading advisor in commodity futures trading since 1994, I can tell you if you think to start trading with less than $100k you might be better off flushing it down the toilet. This is just my opinion, but as Ed Seykota a legendary trend follower has stated there is no dollar amount too big or too small. The key is following your system or staying with your commodity trading advisor during the eventual draw down. The volatility is so great in the markets currently if you do not have enough money in your futures trading account and you attempt to run a tight stop, just the noise can take you out.

In summation, there is no magic number… however in my first hand experience I would not even suggest with less than $100k

www.myinvestorsplace.com

About the Author

Andrew has been in the financial arena since 1990. He is a Registered Investment Advisor ad affiliate of Abraham Bedick Capital. Since 1993 Andrew has been a proponent of quantitative mechanical trading programs. Andrew’s major concern is not only total return on investment but rather the amount of risk that one would have to tolerate in order to achieve returns He focuses on developing quant models that encompass strict risk adherence and correlation. He has been a speaker at conferences as well as an author of numerous articles. Andrew has spent years researching ideas that have the potential to outperform indices as well as maintain fewer draw downs.

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Commodity Money $111.53 Commodity money is money whose value comes from a commodity out of which it is made. It is objects that have value in themselves as well as for use as money.Examples of commodities that have been used as mediums of exchange include gold, silver, copper, salt, peppercorns, large stones, decorated belts, shells, alcohol, cigarettes, cannabis, candy, barley etc. These items were sometimes used in a metric of perceived value (economics) in conjunction to one another, in various commodity valuation or price system economies. Author: Miller, Frederic P./ Vandome, Agnes F./ McBrewster, John Binding Type: Paperback Number of Pages: 168 Publication Date: 2010/01/15 Language: English Dimensions: 5.98 x 9.01 x 0.38 inches

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Volatility Estimation and Option Pricing. $115.71 In this dissertation we focus on two points in the study of financial statistics, volatility estimation and option pricing. In the first chapter we briefly introduce the relevant terms and concepts as well as a general literature review for the diffusion and GARCH model and realized volatility. The second chapter investigates the convergence speed of the GARCH European option price to its bivariate diffusion limit price, particularly under the EGARCH(1,1) specification. Viewed as a discretetime approximation, a properly constructed GARCH model weakly converges to a bivariate diffusion as the time interval between observations shrinks to zero. Thus, the difference in European option prices must also approach zero in the limit. However, the rate of convergence is unknown. Our major contribution is being the first to show that the option price convergence is at a rate near n 1/2. In chapter three we propose a new methodology to estimate the integrated volatility matrix using intraday high frequency data. The novel feature of our method is to combine regularization and sparsity to extend the usual realized volatility type of estimation of one or few assets to a much larger number of assets, usually on the order of sample size. Asymptotic analyses reveal that significant improvement is gained for the estimators. Chapter four is devoted to numerical studies. We conduct extensive simulation studies for complex price and volatility models with large p, the number of assets. The simulation studies demonstrate that the proposed estimators perform well for finite p and sample size. We apply the method to real highfrequency data sets in chapter five. Finally, we end this dissertation by drawing some concluding remarks and comments for future research in chapter six. Author: Zou, Jian Binding Type: Paperback Number of Pages: 148 Publication Date: 2011/09/07 Language: English Dimensions: 9.69 x 7.44 x 0.32 inches

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