I chose to write a proposal to Google, because I believe they would be interested in more than just a trading system, it does prove some stock markets can be predicted,
I am not here to sell or endorse any company or any product, just my research.
I chose to write a proposal to Google, because I believe they would be interested in more than just a trading system, it does prove some stock markets can be predicted,
I am not here to sell or endorse any company or any product, just my research.
Ah, so you're here to sell your research.I am not here to sell or endorse any company or any product, just my research.
Ah, so you're here to sell your research.
If it smells like spiced ham, and tastes like spiced ham, it's probably .....
spam back testing doesn't mean it will work again!
dmc
use the density functional theory instead
or this
Repeat until ER becomes constant. Then wait for the asymmetric and
distribution of artificial resurgents to particulate
this will give you up to date and ground-state function.
ahhh hang it all..
i am going out for a random walk..
I can prove "Random walk theory" wrong
Cartman said:gidday Brad --- i hope we are on speaking terms now ---
agree ---- backtesting can be manipulated to produce whatever results u want if u r trying to sell something ----
forward testing results with real money over an extended period ---- those kinda results will get people interested
Tech/A said:There are quite a few here who can prove it correct as well with trading statements to prove it!
ClassicThe crowds are starting to make their way into DMC's head office to pick up a nice new little black box .....
The results also prove “Random walk theory” is wrong.
2009: 45.75% return (33 days traded), (Probability of profitable days: 72.72%)
2008: 233.63% return (232 days traded), (Probability of profitable days: 67.24%)
2007: 96.29% return (208 days traded), (Probability of profitable days: 62.98%)
2006: 116.87% return (199 days traded), (Probability of profitable days: 68.84%)
2005: 121.14% return (205 days traded), (Probability of profitable days: 74.14%)
2004: 87.92% return (202 days traded), (Probability of profitable days: 65.32%)
2003: 159.21% return (209 days traded), (Probability of profitable days: 69.37%)
2002: 65.28% return (155 days traded), (Probability of profitable days: 52.25%)
Total return: 926.1% over 7 years and 2 months.
My research began back in 2005 which stemmed from an idea I saw when looking over stocks on the NYSE and NASDAQ markets. My brother (a database computer programmer) custom built a program to test out this idea.
The results certified to us, that stock market direction (from the opening price to the closing price of the day) could be predicted with high probabilities, incorporating this method.
The results also prove “Random walk theory” is wrong.
All trades back tested were, buying at the market open, setting a 4% stop loss, and selling on market close. No trades were ever held overnight.
Here are the results tested from January 1st 2002 – 27th February 2009.
Results:
2009: 45.75% return (33 days traded), (Probability of profitable days: 72.72%)
2008: 233.63% return (232 days traded), (Probability of profitable days: 67.24%)
2007: 96.29% return (208 days traded), (Probability of profitable days: 62.98%)
2006: 116.87% return (199 days traded), (Probability of profitable days: 68.84%)
2005: 121.14% return (205 days traded), (Probability of profitable days: 74.14%)
2004: 87.92% return (202 days traded), (Probability of profitable days: 65.32%)
2003: 159.21% return (209 days traded), (Probability of profitable days: 69.37%)
2002: 65.28% return (155 days traded), (Probability of profitable days: 52.25%)
Total return: 926.1% over 7 years and 2 months.
The results above are all long trades, when testing the system live, we were getting slippage on the short trades at market open, but when buying (long), we were guaranteed the opening days price. (When shorting stocks on market open, U.S markets requires a long trade before a short), that is why we were not getting filled at the market open price on short trades.
All stocks within the system trade 1-7 million in average volume per day and all trade on U.S exchanges.
Our method goes beyond being a high probability trading system with great returns, it proves random walk theory wrong, and certifies predicting stock market direction.
We contacted Google finance last week with a proposal, to prove our research, and are waiting for a reply.
Any feedback would be much appreciated on how to go about marketing our research and analysis,
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