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## Project Request
The project aims to develop a Stock Market Trading Agent using Deep Reinforcement Learning.
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**Role of AI in XBRL tagging**
All the companies registered in us , india and european stock exchanges have to submit their quarterly financial statements with xbrl tagging
1. Each numerical entit…
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# Stock Trading AI Bot Using Python | ML Trading - PyCodeMates
The project at hand focuses on creating an AI system that can be used specifically for trading. It's all about making trading a bit smar…
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Hello, I cannot run the code because I get this error:
````
(venv) linus@linux:~/trading/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020$ python run_DRL.py
WA…
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See the following articles for some ideas
* https://www.tandfonline.com/doi/abs/10.1080/0015198X.2019.1596678?journalCode=ufaj20
* https://www.cfainstitute.org/research/financial-analysts-journal/20…
eleow updated
4 years ago
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In source code, _from rl.agents.dqn import DQNAgent_ ,I find there is no rl package
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This is a very good code that I have successfully run. I have written a prediction code and I am not sure if it is correct. Additionally, if I have new data, how should I handle it? Can I turn this in…
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I do have some code for a Stock Trading game that is using Deep Q ( just standard Deep Q Learning with Experience Play, but i would like to use A3C LSTM with Experience Play as per the research paper …
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http://www.jcreview.com/fulltext/197-1592985867.pdf
Another article going through an example of an ANN being used to predict stock prices. Very good background info on ANN and Deep learning.