Hi Everyone,
I am working with very small data, 11 firms and 10 year of data across 6-7 columns. The jupyter notebook dies itself after sometime. I am also taking care of this:
- The notebook is not left idle for over 2-3 min
- There should not be data leakage as datasize is small
I am attaching screenshot of how the lower panel looks. Could you please help me with this:
Note: I have a researcher seat and bought a research node too.
Mia Alissi
To help Anshul with the issues related to the Jupyter notebook on QuantConnect, here are some steps and considerations:
Initialization of QuantBook: Ensure that the
QuantBook
is properly initialized in your notebook. This is crucial for accessing data and performing analysis. Here's a basic setup:Set Dates and Add Data: Define the start and end dates for your data analysis. This helps in managing the data efficiently:
Monitor Notebook Activity: Ensure that the notebook is not left idle for more than 15 minutes to prevent it from becoming unresponsive. You mentioned keeping it active every 2-3 minutes, which is good practice.
Optimize Data Handling: Since the dataset is small, ensure that data processing is efficient. Use vectorized operations with libraries like Pandas or NumPy to handle data efficiently.
Prevent Data Leakage: Ensure that your data handling and model training processes do not inadvertently use future data. Properly split your data into training and testing sets.
Utilize Research Node: Make sure your research node is properly configured and utilized. This can help in handling computations more effectively.
Check Resource Usage: Regularly monitor the resource usage of the research node to ensure it is not being overwhelmed by computations. This can be done through the QuantConnect interface.
Contact Support: If the issue persists despite these steps, consider reaching out to QuantConnect support for further assistance with the research node and notebook stability.
By following these steps, you should be able to manage the notebook's performance and stability more effectively. If you have any specific code or errors, feel free to share them for more targeted assistance.
Sources: Getting Started - QuantConnect.com, Getting Started - QuantConnect.com, Getting Started - QuantConnect.com, Research - QuantConnect.com, Head & Shoulders TA Pattern Detection
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Anshul Goel
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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