garbage out. No shortage of products here. Are there any DataScientists in similar domain and may have some tips for me? For the purpose of discussion, I will refer to any manufactured data being derived from raw ohlcv stock data as an agent. Now I know there is a ton of alternate data that we can use. Just open, high, low, close and volume. Any further ideas, links and papers will be really helpful. Data Cleaning Processing : What things to absolutely check, do etc. But they were designed for humans to be read from plotted charts.
D Machine Learning on Time Series Data? MachineLearning - Reddit Anybody used Q learning for trading? algotrading - Reddit
I think the information is good, but it is not easy to then convert these to knowledge in a ML system. Presenting stock market data to a ML system or other algo can be simple, but it has been my experience you can only expect simple results. Subscribe unsubscribe 496,683 readers 756 users here now created by a community for 9 years. They are, stock name, date, open, high, low, close and volume. Our next stop is a sea of statistics. An obvious first port is to just grab the outputs of any technical indicator generator, of which we have dozens of technical indicators to choose from. I'm already through that awesome ML funds paper by Prado. Press J to jump to the feed. Press question mark to learn the rest of the keyboard shortcuts. So we can pre-process the data to extract other nuances that may be lurking within in the hope that our ML system can find some gem to grab on to and be smarter. I'm back here and realising that maybe ML for price data might be futile.
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