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This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Results 18 stock_market_reinforcement_learning issues
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I just try python 3.7,this happen ![Uploading 85350869...]()![Uploading 85350877...]()

I just try python 3.7,this happen ![Uploading 85350869...]()![Uploading 85350877...]()

I got this error when I run `python3 market_pg.py ./kospi_10.csv pg.h5` ``` Traceback (most recent call last): File "market_pg.py", line 147, in env = MarketEnv(dir_path = "./data/", target_codes = list(codeMap.keys()),...

Bug!! ``` self.defineState() self.currentTargetIndex += 1 ``` 다음과 같이 수정되어야 합니다. ``` self.currentTargetIndex += 1 self.defineState() ```

I have trained the market_pg.py for 1000 episodes. But to evaluate with new data (2015-08---2016-09), the cumulative reward is nearly zero with whichever the stock chosen. So I want to...

``` (tensorflow) linyikuandeAir:stock_market_reinforcement_learning KUAN$ python market_pg.py ./kospi_10.csv pg.h5 Using TensorFlow backend. [Errno 2] No such file or directory: './data/./005930.csv' [Errno 2] No such file or directory: './data/./012330.csv' [Errno 2] No...

I do't get the idea of how sudden_death work, can someone explain it? thanks. ``` if self.sudden_death * len(self.boughts) > self.reward: self.done = True ```

I do't get the idea of how sudden_death work, can someone explain it? thanks. ``` if self.sudden_death * len(self.boughts) > self.reward: self.done = True ```

I cannot fully understand the structure of the codes. It is **the representation of the states** that confuses me a lot when considering applying RL to stock market. Thanks in...

python market_pg.py ./kospi_10.csv pg.h5 Traceback (most recent call last): File "market_pg.py", line 5, in from market_model_builder import MarketPolicyGradientModelBuilder File "/Users/tonylibai/code/python_ai/gym/stock_market_reinforcement_learning/market_model_builder.py", line 1, in from deeplearning_assistant.model_builder import AbstractModelBuilder ImportError: No module...