katshun0307 / stock_prediction

predict stocks with keras neural network

Shuntaro Katsuda 👋

• (2024-Current) Backend Engineer (Rust)
• (2022-2024) Web Engineer (Python, Typescript)
• (2020-2022) Master's Course Student @ Computer Software Group, Graduate School of Informatics, Kyoto University

Languages

• Python
• OCaml
• Typescript

Research Topics

• Programing Language Theory
• Lambda Calculus

Current Interests

• Elixir
• Phoenix
• Nerves
• GRPC

SNS

• Movies 🎥 Letterboxd
• Beer 🍺 Untapped
• Reading 📖 Booklog

stock_prediction's Issues

graph output not working

can't output graph with matplotlib.pyplot

import matplotlib.pyplot as plt

# write graph of first brand
plt.rc('font', family='serif')
plt.figure()
plt.ylim([0, 200])
plt.plot(problem[:1], linestyle='dotted', color='#aaaaaa')
plt.plot(original[:1], linestyle='dashed', color='black')
plt.plot(predicted[:1], color='black')
plt.show()

contents of predicted

[None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, array([ 15.43577099,  36.84272003,  15.91188812,  35.25035477,
         5.68360043,   7.09845543,  18.44900131,  29.07788849,
        30.31954765,  21.19824028,  34.99340057,  35.99323654,
        18.73867989,   9.5011158 ,   7.84293079,   9.84426498,
        33.54663467,  31.92493439,  36.72859192,   9.76869583], dtype=float32), array([ 15.11087704,  36.06284714,  15.56523514,  34.49702454,
         5.55962372,   6.94901848,  18.05520439,  28.45084   ,
        29.6733532 ,  20.7546978 ,  34.24479675,  35.22332382,
        18.34677124,   9.30526733,   7.68058395,   9.6333828 ,
        32.8284111 ,  31.24674034,  35.94335556,   9.56437778], dtype=float32), .........

save loss after each epoch to write learning curve

save loss on pickle file to write learning curve.