QUANTCONNECT COMMUNITY
Hi!
I just paid for the most basic backtest and research nodes so I could have some RAM to run my ML code. However, the process has become even more frustrating. Since I paid for the suscription it does not detect any jupyter kernel and its so frustrating. It looks that I have been able to connect by chance a few times, but it is very frustrating that I do not get proper access to the product I just paid.
I would really appreciate any help,
Please
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Mia Alissi
Hi Dani – we know how frustrating kernel hiccups can be!
Here’s a step-by-step checklist to get you reliably connected and running ML notebooks:
1. Basic Browser Reset
1.1 Save your work, then use your avatar to Log Out.
1.2 Close every QuantConnect tab.
1.3 Clear your cache + cookies (Chrome: ⋮ ▸ More tools ▸ Clear browsing data).
1.4 Open a fresh window, log back in, and re-open Research.
2. Start / Stop / Restart the Research Node (Web IDE)
2.1 In the left navigation, click Research.
2.2 If there’s no kernel, click the green “Start Node” (top-right).
2.3 If it’s stuck, click ▼ ▸ Restart.
2.4 Wait a full 60–120 seconds – the node needs to boot up!
2.5 Green dot beside the node name = ready.
3. Optional: Try with Lean CLI Locally
3.1 Install once:
pip install lean quantconnect-stubs• Run
lean login(one-time set up).•
lean research(this launches Jupyter onhttp://localhost:8888).3.2 Pick the same Python version you use in QC backtests (usually 3.8).
4. Choose the Kernel in the Notebook
4.1 Click the kernel picker (top-right in the notebook).
4.2 Select “QC Python x.y Research”.
4.3 If missing: click ••• ▸ Refresh Kernels, wait 10–15s, try again.
5. After Any Node Restart
• The first connection may take 1–2 minutes.
• Hollow circle (⭘) means loading; solid (●) means connected – run a cell to check.
6. No Kernel at All? Contact Support
Include:
– Your username & email
– Subscription type (“Basic Backtest + Research Node”), date of purchase
– Notebook name/URL
– Exact time & timezone of the issue
– Screenshot of error/missing kernel
– Browser & version, OS, console log (F12 ▸ Console ▸ Save-as-TXT)
– List of steps you've already tried
Email support@quantconnect.com or open a ticket at https://www.quantconnect.com/contact.
7. Check the Forums/Docs
• Go to Community → Forums → Site Feedback for any incident threads.
• Search for “kernel” or “research node” for more tips.
8. Keep Momentum While Waiting
• Test a small ML notebook locally to confirm your code works.
• You can copy-paste code between local and QC notebooks.
Hang in there, Dani. These issues can be annoying, but once your kernel wakes up, QC nodes are usually rock-solid! You’ve taken the right first step; you’ll be training models in no time.
Happy coding – and let us know if you need more help!
Sources: Research - QuantConnect.com, Getting Started - QuantConnect.com, Getting Started - QuantConnect.com, Getting Started - QuantConnect.com
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.
Dani González
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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