Stock Trading AI 101: Using Custom Indicators in Reinforcement Learning (Part 2)

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CHAPTERS
Source Financial Data - 0:34
Adding Custom Indicators - 2:51
Build Custom Environment - 5:20
Training the Agent - 8:48
Testing the Agent - 11:05
Future Improvements - 14:04

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Keywords for the algorithm: Reinforcement learning for stock predictions predicting price with machine learning creating an agent for crypto forex or stock trading using technical indicators python for finance quantitative finance artificial intelligent algorithmic trading

[ttc]

So glad you made the follow up keep upp the great work

[RaghavaIndra]

Loving this series. Please continue making them.
Do you want to check DI-engine AnyTrading framework too? It seems they have made some improvements to the base version.

[eagledaniel]

I have been following you video and learning g greatly from you sir. But I want to know how can we connect this learning agent to trading platform like binance in order to execute a trade

[dariustrabalza]

in this video and the last the agent buys all or sells all. i think that because if you never switch from buy to sell or sell to buy the trade is never actually closed so you dont loose any profit. need to add in that logic somehow. maybe punish taking too many trades in the same direction. also should add do nothing to the action space so i doesnt have to buy or sell only