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huseinzol05 / Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Apache License 2.0
7.66k stars 2.74k forks source link

Is there any installation guide? #35

Open RajeshDhalange opened 5 years ago

RajeshDhalange commented 5 years ago

Can you please provide documentation to install and run this project?

huseinzol05 commented 5 years ago

Herm, good suggestion. I will create it

robertselders1 commented 4 years ago

I use the anaconda3 and all agent .ipynb are fine but 23.abcd-strategy-agent.ipynb. I modify the In[17] line from: states_buy, states_sell, total_gains, invest, states_money = buy_stock(df.Close,signal)) to: states_buy, states_sell, total_gains, invest, states_money = buy_stock(df.Close,abcd(df['Close']))

The error message is : NameError: name 'signal' is not defined

alessio931 commented 4 years ago

up. Grazie

krizda commented 4 years ago

Tried to get it working. Need this guide. From training to investing

bashfu11 commented 4 years ago

Has anyone got an installation guide yet?

Jasonlee20181111 commented 4 years ago

Has anyone got an installation guide yet?

bluusun commented 4 years ago

This will help to create regular pythin scripts:

https://stackoverflow.com/questions/35545402/how-to-run-an-ipynb-jupyter-notebook-from-terminal

IISuperluminaLII commented 3 years ago

You can copy all imports, put it at the top. Most of this guy's code is already abstracted properly, so you can just use the class definitions in a python file (after moving imports to top of file). A jupyter notebook is a fancy python file with formatting that's all.... this guy writes some clean code, husein my man u are a god......