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BTW, today 92% of games won and majority of them had only one trade (round trip). 95% of the game is over by now. We like days like today very much! Thank you Mr. Bernanke, keep on talking! :D

Don't care about them anymore. No need! The game took care of it. No prediction, anticipation, prognoses of any kind! We just playing 200 poker games with the markets a day.

The algorithm has changed quite a bit in the last two years. I was supervising the work from the hospital bed so it is much less glorious then it was before :D . The game usually lasts about 2 hours. We do not hold positions overnight any more. We play around 200 simultaneous games a day. Each...

Game is a sequence of intermediate trades overall resulting in the positive outcome of the game. Although in one game there might be 5 loosing trades and one win, overall the game might be still positive. The game is over when either its length or the profit expectations are met.

Most of our problems are not related to the algorithm but rather to the execution of orders. Rejects, no fills, lag in data, computer failure, exchange lag etc. The only types of days that really cause us problems are the days when there is no movement at all! :D Also, quality of data and the...

64.8% wins 35.2% losses. Average win/loss is 3.2/1 money wise. Around 2.8 trades per game a day multiplied by 200 games on average per day. There are 4.8 loosing days per year. One loosing day = 3.76 average winning days (in terms of dollars).

You got it!

Generally speaking you are right. And I won’t make you to read the paper! :D I understand! It's just I don't have any other real means of explaining the underlying science. :)

Sorry, I cannot. I promised to the founders not to disclose anything beyond general scientific principles. It is not a public fund. It is a private enterprise. Sorry.

If you read the paper you'll see that the stops are part of the game. They are dynamic and are built-in to the main algorithm.

Later in the day I will post a very important paper that will shed some light on the subject. I just need to find it.

In the traditional sense, you are correct. Traditional behavioral finance like TA is wrong. However, I use totally different approach that, in my opinion, is free of the mentioned by you short comings. Cheers

If you are asking me, then the answer is very simple. I use the game described in my paper to construct multiple strategies utilizing differences between distributions exhibited in the markets vs. Gaussian distribution. It only works well (no losing days at all) if you are involved in hundreds...

That is what my major opponents think! However, it is all about creation of Math model of the group behavior in various environments and the distribution of wealth.

carbohydrate!????? :D :D :D

No, I'm sorry; it is not what I subscribe to. Reversion to the mean as any other technique related to price patterns is not in my tool box. I thought that the article I posted would give you a clue... :cool:

And with the aid of certain type of cannabis its even fun! However, there cannot be any patterns (trends and such) in purely random data. So, it is all illusion, my friend.

I am very familiar with this fund; however, it is not what they have done. Remarkably, their main algorithm is running random walk models! Go figure! :D :cool:

Yes, my work contradicts many of the common beliefs. There are, however a lot of supporters of my point of view. Behavioral Finance is a relatively young science. My first papers on the modeling of group behavior patterns dated back to 1985 – 87. But it was only recently when with the aid of...

I am glad that you clarified it. I believe in exact opposite. I believe that like gas dynamics could be studied objectively without describing how each of the molecules move the markets could be studied prosperously from the stand point of view of insignificance of what traders are doing. This...