deeptrading
Unverified ML strategy on Multi by parrondo. BotFinder score 18 out of 100.
Deep Neural Network Trading collection of Tensorflow Jupyter notebooks
Source: github
BotFinder analysis pending.
deeptrading
DeepTrading DeepTrading is a collection of Jupyter notebooks. The objective is to organize in a systematic but flexible way all the necessary steps to calculate and conceive trading systems based on the Tensorflow software. For more info see: TodoTrader DeepTrading Tensorflow serie Installation If you are Black Belt (BB) then "Quick Way" is your way of installation, else use "Detailed Way". What!, wait...Am I a Black Belt? Well, if you can use these Jupyter notebooks with "Quick Way" instructions then sure, you are a BB. Quick Way (Black Belt) It is highly recommended to run DeepTrading in designated Conda virtual environment. To install Conda you can be guided by any of the many tutorials that are disseminated throughout the Web. git clone https://github.com/parrondo/deeptrading.git cd deeptrading conda env create --file environment.yml conda activate deeptrading It's likely you want to have a .env file. It is a configuration text file that is used to define some variables you want to pass into your application's environment. Example of .env fil
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Verification ledger
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Alerts on changes: coming soon
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