| Automated Trading Black box systems, strategy automation, algorithmic trading, etc... |
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![]() | Has the Last Time Period Ever Happened Before? I am about to start a hobby-project that will hopefully get a nagging idea out of my head. However before starting, I would like your views on whether it is completely daft. It involves: 1. Grabbing as much historical data as possible for a whole market. 2. Arranging the data in such a way that the whole database can be searched for a pattern formed by the last 15minutes (say) market activity. 3. Count how many times a scenario has taken place before - if at all. 4. Extract details of what happens next. 5. Decide if the odds of making money are good. 6. Search/calculation time to be less than a second. Has anyone tried this before? I have searched the forum, but found little. I apologize in advance if I missed something obvious. Regards, Peter. | ||
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![]() | Re: Has the Last Time Period Ever Happened Before? What you’re thinking can be done. It’s a specialty, a niche… and if it's you, don't let anything discourage you... but bottom line, pattern recognition algos in general do not produce extraordinary results. hth | ||
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MixedHerbs (10-27-2009) | ||
| | #3 | ||
![]() | Re: Has the Last Time Period Ever Happened Before? Quote:
Yes... many people have done this before... One commercial service (the name escaped me at the moment) has their database and search software for rent at $5k per month. when you say 15 min pattern, what resolution are you talking about? at 5 min interval? 1 min? 1 sec? 1 tick? have you worked out the factorial number of a 2 bar + volume pattern?
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| | #4 | ||
![]() | Re: Has the Last Time Period Ever Happened Before? "Building an array of setups is a good idea..." That's not quite what I meant. My intention is to arrange the data in such a way that it can be searched as efficiently as possible - probably using bitmaps. Before indexing, I would convert the raw data into a form that made volumes and prices the same scale. I would take the last period's data for a share price, convert it into the same form as the index, then work my way backwards to discover if history has repeated itself. As you say, there will need to be some adjustment for "granularity", but it will be fun to discover. Searching for contextual layers is an interesting idea, thank you. I will put some thought into that. Regards, Peter. | ||
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