- Joined
- 9 August 2015
- Posts
- 55
- Reactions
- 0
Sounds interesting.
Over what period did you test the method to determine a 95% success rate?
What program did you use to determine the result.
Is the method week in week out trading?
A 1:20 loss rate is remarkable.
Following with interest.
As you say risk management is the responsibility of the users
But are you saying all stock selected will remain in profit until Friday or
Some will go into drawdown but finish positive by Friday
Or some will start positive and if exited before they turn negative within that week
Will be in the group of winners.if not results may be less than 95%,
Is success of 95% reliant on excellent money management?
Tonight i will list the companies which have triggered BUY in the system based on last weeks date.
This will be very interesting. Waiting with bated breath.
Unfortunately 3 mths testing in excel is hardly exhaustive.
What people need to understand is standard oscillators have been around for 30
Yrs. In that time and in particular the last 15 yrs every oscillator combination known to
Man has been tested. From what I have found there is no statistical edge displayed
In standard oscillator type systems over a long term.
However I'm still very interested in anything posted by anyone who has the
Guts to post it up,
Hey tech,
My system uses no oscillators at all, i realised a long time ago that for me personally they just take attention away from the real information, my system doesnt even require a single chart.
3 months is not a lot of back testing data, but on a week by week basis , spread across all sectors so far a 95% success rate has emerged, and i guess the theory of "edges work until they dont" might ring true here.
But time will tell, and by next friday the numbers will soon let me know .
Over the past 4 years i have been working to develop a system that can predict weekly moves tracking all companies listed in the ASX100.
Tonight i will list the companies which have triggered BUY in the system based on last weeks date.
Hello,
Over the past 4 years i have been working to develop a system that can predict weekly moves tracking all companies listed in the ASX100.
I have refined this now to the point where i get on average an accuracy rate of 95.65%
With percentage gains averaging 1.62% per company per week.
Tonight i will list the companies which have triggered BUY in the system based on last weeks date.
The only rule of the system is to buy on the open of monday morning, and either sell at the close of friday , or sell when your stock gain reaches a level where you want to take profits.
Of the 23 buy signals i got last week, only 1 was not successful. Resulting in a -2.31% loss if you held until the close on friday, but profits were there during the midweek.
So basically the system can predict stocks which are going to end the week in a positive. But not by how much , so you will still need to bring you own risk management to the table.
Kind regards
Robertohood
Hey guys as promised, the listed are current BUY signals for next weeks open (10/08/15)
My system only scans the ASX100, and the BUY signal only predicts stocks which will end the week positive... not by %gain.
Purchases are to be made at the open monday morning and sold prior to close Friday (14/08/15)
CTX
LLC
NAB
OSH
REC
S32
Hey guys as promised, the listed are current BUY signals for next weeks open (10/08/15)
My system only scans the ASX100, and the BUY signal only predicts stocks which will end the week positive...
LLC
NAB
OSH
REC
S32
The only way this can be tested is to use the open on Monday and close on Friday...as you state above. You can't just say that each stock will be in profit "at some stage during the week". Sorry to be sceptical but sounds like somebody in the "beginners" cycle. Also, the system needs to be tested going back years...not weeks.
A 95% winning average does not necessarily constitute a positive expectancy system - I can easily design a system with a 95% win rate yet it's a net loser (negative expectancy), it only takes one really large loser.
We use cookies and similar technologies for the following purposes:
Do you accept cookies and these technologies?
We use cookies and similar technologies for the following purposes:
Do you accept cookies and these technologies?