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Hi All,
I'm looking to deploy one of my algorithms to a live trading node, and I noticed that the amount of RAM offered on the live nodes is quite a bit less than that of the backtesting nodes, so I'm not too how much ram I should subscribe to. I use B2-8 nodes for my backtesting. My algo uses daily resolution (for now), and my backtests seem to use up to about ⅔ of the available RAM on the B2-8. Any suggestions on which live trading node I should deploy to?
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Adam W
Mainly depends on your algo. IIRC, backtests are multi-threaded and process a ton of datapoints in parallel so the RAM usage will seem high. If you're just processing live data/making trades as data comes in, the smallest live node (0.5 GB RAM) should be plenty.
Very large universes or Historical data calls may be a problem though, but you could try to estimate how much memory it'll need. Alternatively, try to do your analysis/memory-intensive stuff in a backtest, save things to the ObjectStore, and then just load what's needed when deploying to a live node.
Garrett Grow
Thanks for the response, Adam. I have been using the QC500 universe and, I do leverage historical data and rolling windows. So, I sort of suspect that the smallest node may not be sufficient for me.
Garrett Grow
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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