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Hey everyone, i am new here and got one question.
I created my first investing algo that does the following:
The algo is looking at the top 5 technology stocks sorted by market cap.
Once one of these stocks drops below the 100 EMA i want to buy 10% of my total capital.
Question:
I try to set a target at the all time hight of the stock. So when the stock price passes the all time high i want it to sell my holdings.
But i can't figure out how to set a target when using the framework.
OH, and if you see any problems or bugs in my code or you see something i can improve. LET ME KNOW :) always want to improve!!
Thanks in advance!
Shile Wen
Hi Tijmen,
I suggest using the dict[Symbol, SymbolData/SelectionData] pattern to store the EMA information, and warmup the EMA on creation using Historical data, both of which can be seen in this BootCamp. Furthermore, getting the All-Time high will require a lot of data, so I recommend using the MAX to get the rolling high. Moreover, I recommend using a Flat Insight inside the Alpha Model's Update function to liquidate a position when a security reaches it's high.
Best,
Shile Wen
Daniel Monteagudo
Shile Wen I've noticed flat Insights are available to Alpha Models, but I was wondering what exactly they do. If they expect a price to remain stagnant, how do they act on that information?
Adam W
Daniel Monteagudo
Insights don't do anything by themselves - you can just think of them as a collection of data representing your predictions (direction, magnitude, etc) for a future period of time.
After emitting Insights, the Portfolio Model converts it to a target weight/order quantity. The built-in ones typically set the weight to 0 (liquidate) for Flat Insights, but you can change the logic to whatever is desired with a custom model.
Tijmen Kodden
Thanks for the comments guys! appriciate your help. Lets see if i can figure it out now
Tijmen Kodden
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