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How to set a stop loss with a set universe?

Hi everyone, I'm new to both Python and Quantopian, and I just can't seem to figure out how to set a stop-loss on my positions if I'm using the set_universe feature. Can anyone advise me on how best to do this? Thanks!

-Scott

5 responses

+1 this question, would love to see an answer. @scott let me know if you got an answer!

Hi Scott,

You can use stop orders with any universe of stocks - your own custom list or using the set_universe convenience function.

When you choose to enter a position for a stock, you can always set the exit criteria to close the position. Below is a simple example of using a stop loss with set_universe. It's not a very intelligent algo, but it shows the idea. The algo will order 100 shares of the 90-92% universe (~160 stocks) and set a stop price at $500. I used a boolean variable for demonstration purpose, but its not good practice to include this in a live trading algo. Booleans are very brittle and don't recover easily from errors (late start, machinery issue, etc). Hope this helps and feel free to iterate further!

Cheers,
Alisa

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Thanks Alisa! This helps. Very cool platform and a great community here; looking forward to getting more involved as I get the hang of things.

order_target(stock, 100, stop_price = 10)  

Does it means that the stop loss is when the price is 10.00$ for each stock or -10$ for the entry price?

@Marco it's the absolute stop price = $10.00 for the security defined by the "stock" variable. There is no "entry price" here. In real scenario you'd place a market price order first and then a stop loss with a price computed based on the current price (close price of the previous bar).