Spaces of bfcat
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XAI_StarSky
Some workflows for NPQuant Learning， the data source come from China stock market. Some example datasets will be published with the workflow. The original work is implemented by Python3, Jupyter Lab is a wonderful working space, the python is really a good tool for data processing, but it cost too much time for data visualizing and reporting. Knime is a less code environment for communication among researchers, with clear workflow, and data visualization. So I decide to use python as the backend data processing and training platform, and use Knime as the frontend, some times I will use Knime workflow directly in the batch jobs for data analysis at night. Knime and python can work together well, they are so convenient.
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NPQuant
Some snippets for financial time series(mainly focus on stock data), combined with knime， Javascript and python. Python lib includes ta-lib, statsmodels, arch, and so on, most of them are tested on windows 10 and Ubuntu20.04 with python3.9. JavaScript is used to show Kline(candle line) .
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