Cheetah (के जरिए christof)
यूजर ने इस सिस्टम को रद्द कर दिया है.
Cheetah चर्चा करें
Nov 23, 2009 at 17:14
849 व्यू
3 Replies
Dec 01, 2009 at 06:25
November 2009 Additional Statistics
Number of trades = 907. (616 winners, 291 loosers, 83 absolute direction changes)
Average winning trade = 220 pips * 0.017 lots. (5 digit pips)
Average loosing trade = 220 pips * 0.018 lots.
Profit Factor = Gross Profit / Gross Loss = 2263 / 1105 = 2.05.
Net Profit / Total Spread = 1159 / (15 pips * 15.88 lots) = 4.86.
Number of trades = 907. (616 winners, 291 loosers, 83 absolute direction changes)
Average winning trade = 220 pips * 0.017 lots. (5 digit pips)
Average loosing trade = 220 pips * 0.018 lots.
Profit Factor = Gross Profit / Gross Loss = 2263 / 1105 = 2.05.
Net Profit / Total Spread = 1159 / (15 pips * 15.88 lots) = 4.86.
तबसे मेंबर है Sep 06, 2009
11 पोस्टों
Dec 01, 2009 at 06:32
Christof, awesome system - low DD %, nice gain %. Can you describe what system you are using? TQ.
Dec 01, 2009 at 07:16
I cannot describe the system (there is none) or the specifics, but I can tell how it works in general:
The decision making is done by neural nets. Before november everything was done in mql4, and now everything is c++ (huge speedup). What I do is programming the input data, architecture, optimization algorithm, fitness function, etc. Then my pc does the number crunching. The results of each optimization run (several hours to days on my 3Ghz Core2Duo) are often pretty different, so I decided to combine some of them again, to yield a single number for market exposure.
The decision making is done by neural nets. Before november everything was done in mql4, and now everything is c++ (huge speedup). What I do is programming the input data, architecture, optimization algorithm, fitness function, etc. Then my pc does the number crunching. The results of each optimization run (several hours to days on my 3Ghz Core2Duo) are often pretty different, so I decided to combine some of them again, to yield a single number for market exposure.
तबसे मेंबर है Oct 02, 2009
53 पोस्टों
Dec 01, 2009 at 08:26
Hi,
What kind of neural net is this?
Regards
What kind of neural net is this?
Regards
*व्यवसायिक इस्तेमाल और स्पैम को ब्रदाश नहीं किया जाएगा, और इसका परिणाम खाता को बन्द करना भी हो सकता है.
टिप: किसी चित्र या यूट्यूब या URL को पोस्ट करने से वे अपने आप आपके पोस्ट में आजाएगा!
टिप: @ चिन्ह को टाइप करें उपभोगता के नाम को अपने आप करने के लिए जो इस चर्चा में भाग ले रहा है.
