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Applying Deep Reinforcement Learning to Trading with Dr. Tucker Balch

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Description Applying Deep Reinforcement Learning to Trading with Dr. Tucker Balch

Comments Applying Deep Reinforcement Learning to Trading with Dr. Tucker Balch

12:00 Comment from : @SphereofTime

If the agents actions don’t affect the environment why not use contextual bandits to model this instead? Comment from : @CS_n00b

why do you teach this if it doesnt work? Comment from : @juanodonnell

hahahaha, I created an AI better than this applied it to stocks and its easy money, there are a lot of item that needs to be change before this approach become profitable Comment from : @akoto8753

Huge respect and admiration for your work, Dr Balch brbrDo you consider hyper-parametization a source of bias? It seems to me that any hyper-parametization is essentially a form of overfitting Tuning parameters for optimal performance on a given data set is really just fitting your model to that set Thoughts? Comment from : @jamesr141

Using traditional TA indicators and charts is about as useful as using astrology to make your trade decisions Try using DOM ladder price data to measure order flow Comment from : @devonk298

33:00' Tucker said "we do not have enough information about reward of the alternative actions to update the Q-table", however, in the case of returns, the reward for being long when we should have being short, is just the opposite sign, right? In my experience the total update of Q-table yields much better results Comment from : @pietrop8932

Its quite interesting I have few queries regarding implementationbr1 Instead of Q-Learning, shouldn't time series learning be used? Specially the one that can keep the history ? eg Recurrent NNbr2: There was a question in QA part regarding why 4 different models are being used I personally think, one model should be enough One reason is to solve the problem of choosing which action to be taken And secondly, actions do has relation If first action is to "Left Thrust" than next action most probably should be "Right Thrust" unless there is strong wind from right to left Choosing the action with highest value is questionablebr3: Can you please share the code for further experiments?brThanks and best regards Comment from : @UmarFarooqMr

It is not gonna work like this Comment from : @RasoulMojtahedzadeh

nice one Comment from : @andywatts

Hope you'd still check comments of this video: About the 3 months' worth of data, what if the market keeps going in one direction? this will create serious bias will may cause loss of money if the market trends the other way when you plug in your bot Comment from : @oliverli9630

Thanks Comment from : @praveenskit

This is gold Comment from : @MsWorldMine

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