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### Feature Summary
I'd like to contribute to FinVeda by implementing a machine learning module that can predict financial trends, stock prices, and customer behavior. This module will leverage popul…
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## Project Request
The project aims to develop a Stock Market Trading Agent using Deep Reinforcement Learning.
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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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# 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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### Is this a unique feature?
- [X] I have checked "open" AND "closed" issues and this is not a duplicate
### Is your feature request related to a problem/unavailable functionality? Please describe.…
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I have been forecasting price timeseries (15 minute intervals) across 32 different stocks in a game.
The model outputs seem incorrect (as if the plots are mismatched).
Is this an issue with the…
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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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**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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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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The resulting problems are as follows
/home/xie/Tacrypto/DCmaster/env/EnvMultipleStock_validation.py:162: RuntimeWarning: invalid value encountered in greater
buy_index = argsort_actions[::-1][:…