Share New Research 
Dear all,
Newbie here with the QC platform.
I looked around the forum and also reddit and find that some people advocate running research locally offline if there is a lot of parameter tuning or training ML models.
My projects are mostly based on hard code rules now and I am attempting to move towards using ML/DL based research which I hope is less manual and efficient in detecting signals.
I have a beginner question on how does “research offline” works?
- Data: I searched around the forum and see that data are only free on cloud. If I want to do it offline, how much more do I need to pay? Or is it not even an option.
- How does it improve the speed running locally vs in the web IDE? I know this maybe a stupid question. My research flow is now code it in the main.py file in Web IDE, spent loads of time backtesting it, investigate the backtest result alongside TradingView, update main.py and loop again….. It is pretty slow and inefficeint and I would really like to know how (1) running in research.ipynb in Web IDE save time in research (understand research.ipynb does not support coarse selection which is essential to my strategies) and (2) running locally helps save time
- Parameter searching. Is there a way to do it without paying extra fees?
Many thanks for any guidance in advance!
Jared Broad
We didn't have ML nodes before, so people didn't have many options for ML/GPU work. Now that we have GPU nodes, I think working in the cloud is more affordable overall. Datasets range from $500/mo to lease for qualified companies to $50,000 to purchase, depending what you're trying to obtain. Check out the LEAN CLI lean.io/cli to see some hybrid local-cloud workflow options.
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Brian tong
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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