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Random Walk charting and tick data


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Random Walk charting and tick data

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I'm relatively new to the concept of a Random Walk, and my first instinct was to try to generate a bunch of random data (coin toss for each tick?) and then create a dummy symbol with say, 1 year of tick data, and then backtest and optimize against that symbol in the same way I would a real instrument.

First, I am wondering if anyone has already put together the tools to create Random Walk data. Presumably it is very easy, if I understand correctly it's just a 50-50 coin toss. For me I want tick or at the very least minute data for a 1 year period. I was thinking of just doing it in C#. Has anyone done this already?

Second, I'm still trying to think ahead to the probable outcomes of backtesting and optimizing against the data, and what the benefit is. If you are of the mindset that the Markets are not random, and yet you know the Random Walk data is, then what can be learned from the process?

We know from past studies that chart experts cannot tell the difference between Random Walk data and real charts, and that both contain double tops/bottoms, head and shoulders, and all that. My original thought was to see if my strategy is curve fitted to a real instrument, whereby it would not work on the random walk data. A second thought was for a strategy to work on both the random and real data, thereby confirming (?) the strategy has some predictive capabilities.

Thoughts?

Mike

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Hi Mike

This is something I posted some time ago



I'm still amazed when I look at this.....

The way I understand it ...the logic is something like:

heads: +
Tails: -

1 toss : 50% chance head : 1 point
2 toss : 25% chance to have 2 head in a row: 2 point
3 toss : 12.5% chance to have 3 head in in a row : 4 point
4 toss : 6.25% chance to have 4 head in in a row : 8 point

same thing for tails but score are -1,-2,-4,-8,-16,.....

then you had pointage


if you scored a 16 pointer (5 head in a row, you have 16pts) than you hit a tail,you start the logic back to the beginning. what's the chance you hit a -16 pointer with the tails to neutralize the +16 pointer you got ? ... poor

and you continue .... a realize that after few 1000 toss, you have a trend .... and many other figures

Now, let's make an indi out of this

Lio.

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I'm still figuring out how to generate all the necessary data. I really prefer tick data, and 1 year of tick data is quite a bit of data, over 1GB of data probably.

I'm leaning towards just doing C# because I know it better than I know Excel.

Then I want to tie in the correlation discussion we've been having. What I envision is trying to generate two data subsets of random walk data, and then running Excel or whatever to produce a correlation factor between them.

I'll talk more about the correlation in that thread.

Mike

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Last Updated on April 4, 2010


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