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Implementation of various Neural Network using Keras for predicting Stocks Market (BM&F Bovespa future contracts of dollar - Mini Dolar) and Bitcoin.

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minidolar
minidolar
 
 
.gitignore
.gitignore
 
 
0layer-k.csv
0layer-k.csv
 
 
0layer-neurons.csv
0layer-neurons.csv
 
 
1layer-neuron.csv
1layer-neuron.csv
 
 
PLS_regression.jl
PLS_regression.jl
 
 
README.md
README.md
 
 
adaptative_normalizer.py
adaptative_normalizer.py
 
 
annual-rainfall-at-fortaleza-bra.csv
annual-rainfall-at-fortaleza-bra.csv
 
 
arima.R
arima.R
 
 
arima.py
arima.py
 
 
autocorrelation_plot.py
autocorrelation_plot.py
 
 
btc-usd.csv
btc-usd.csv
 
 
btc_tanh_AN.csv
btc_tanh_AN.csv
 
 
compare0.csv
compare0.csv
 
 
compare1.csv
compare1.csv
 
 
compare2.csv
compare2.csv
 
 
compare_btc-k.csv
compare_btc-k.csv
 
 
compare_btc-neuron-0layers.csv
compare_btc-neuron-0layers.csv
 
 
compare_btc-neuron-1layers.csv
compare_btc-neuron-1layers.csv
 
 
compare_btc-w.csv
compare_btc-w.csv
 
 
compare_btc.csv
compare_btc.csv
 
 
compare_btc_all.csv
compare_btc_all.csv
 
 
compare_dolar-k.csv
compare_dolar-k.csv
 
 
compare_dolar-neuron-0layers.csv
compare_dolar-neuron-0layers.csv
 
 
compare_dolar-neuron-1layers.csv
compare_dolar-neuron-1layers.csv
 
 
compare_dolar-w.csv
compare_dolar-w.csv
 
 
compare_dolar.csv
compare_dolar.csv
 
 
compare_dolar_all.csv
compare_dolar_all.csv
 
 
compare_furnas-k.csv
compare_furnas-k.csv
 
 
compare_furnas-neuron-0layers.csv
compare_furnas-neuron-0layers.csv
 
 
compare_furnas-neuron-1layers.csv
compare_furnas-neuron-1layers.csv
 
 
compare_furnas-w.csv
compare_furnas-w.csv
 
 
compare_furnas.csv
compare_furnas.csv
 
 
compare_furnas_all.csv
compare_furnas_all.csv
 
 
compare_rainfall-k.csv
compare_rainfall-k.csv
 
 
compare_rainfall-neuron-0layers.csv
compare_rainfall-neuron-0layers.csv
 
 
compare_rainfall-neuron-1layers.csv
compare_rainfall-neuron-1layers.csv
 
 
compare_rainfall-w.csv
compare_rainfall-w.csv
 
 
compare_rainfall.csv
compare_rainfall.csv
 
 
compare_rainfall_all.csv
compare_rainfall_all.csv
 
 
compare_variacoes-k.csv
compare_variacoes-k.csv
 
 
compare_variacoes-neuron-0layers.csv
compare_variacoes-neuron-0layers.csv
 
 
compare_variacoes-neuron-1layers.csv
compare_variacoes-neuron-1layers.csv
 
 
compare_variacoes-w.csv
compare_variacoes-w.csv
 
 
compare_variacoes_all.csv
compare_variacoes_all.csv
 
 
convolutional.py
convolutional.py
 
 
convolutional_new.py
convolutional_new.py
 
 
convolutional_zimbrao.py
convolutional_zimbrao.py
 
 
custom_callbacks.py
custom_callbacks.py
 
 
dolar_tanh_AN.csv
dolar_tanh_AN.csv
 
 
epochs-ideal.csv
epochs-ideal.csv
 
 
furnas-vazoes-medias-mensais-m3s.csv
furnas-vazoes-medias-mensais-m3s.csv
 
 
furnas_tanh_AN.csv
furnas_tanh_AN.csv
 
 
gan_chris.py
gan_chris.py
 
 
gan_zimbrao.py
gan_zimbrao.py
 
 
gdax.py
gdax.py
 
 
hyperbolic_nonlinearities.py
hyperbolic_nonlinearities.py
 
 
lolkek.hdf5
lolkek.hdf5
 
 
lstm.py
lstm.py
 
 
lstm_zimbrao.py
lstm_zimbrao.py
 
 
lstm_zimbrao_stateful.py
lstm_zimbrao_stateful.py
 
 
main.py
main.py
 
 
mlp.py
mlp.py
 
 
mlp_btc.py
mlp_btc.py
 
 
mlp_electricity_us.py
mlp_electricity_us.py
 
 
mlp_furnas.py
mlp_furnas.py
 
 
mlp_new.py
mlp_new.py
 
 
mlp_pib.py
mlp_pib.py
 
 
mlp_rain.py
mlp_rain.py
 
 
mlp_variacoes.py
mlp_variacoes.py
 
 
mlp_zimbrao.py
mlp_zimbrao.py
 
 
multivariate.py
multivariate.py
 
 
multivariate_conv2d.py
multivariate_conv2d.py
 
 
multivariate_conv2d_zimbrao.py
multivariate_conv2d_zimbrao.py
 
 
multivariate_convolutional.py
multivariate_convolutional.py
 
 
multivariate_convolutional_zimbrao.py
multivariate_convolutional_zimbrao.py
 
 
multivariate_lstm.py
multivariate_lstm.py
 
 
multivariate_lstm_zimbrao.py
multivariate_lstm_zimbrao.py
 
 
multivariate_lstm_zimbrao_stateful.py
multivariate_lstm_zimbrao_stateful.py
 
 
multivariate_mlp.py
multivariate_mlp.py
 
 
multivariate_mlp_btc.py
multivariate_mlp_btc.py
 
 
multivariate_mlp_new.py
multivariate_mlp_new.py
 
 
multivariate_mlp_zimbrao.py
multivariate_mlp_zimbrao.py
 
 
normalizer.py
normalizer.py
 
 
orientacao.txt
orientacao.txt
 
 
pib_trimestral.csv
pib_trimestral.csv
 
 
plot_graphs.py
plot_graphs.py
 
 
processing.py
processing.py
 
 
rain_tanh_AN.csv
rain_tanh_AN.csv
 
 
resultados.txt
resultados.txt
 
 
run_all.bat
run_all.bat
 
 
run_all.sh
run_all.sh
 
 
run_all_c.bat
run_all_c.bat
 
 
run_all_lstm.bat
run_all_lstm.bat
 
 
run_all_mlp.sh
run_all_mlp.sh
 
 
total-electricity-consumption-us.csv
total-electricity-consumption-us.csv
 
 
variacoes_tanh_AN.csv
variacoes_tanh_AN.csv
 
 

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keras_timeseries

How to run an example:

  • python3 mlp_rain.py 0
  • python3 mlp_furnas.py 0
  • python3 mlp_new.py 0
  • python3 mlp_variacoes.py 1
  • python3 mlp_btc.py 0

Parameter 0: one hidden layer for neural network

Parameter 1: two hidden layers for neural network

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Implementation of various Neural Network using Keras for predicting Stocks Market (BM&F Bovespa future contracts of dollar - Mini Dolar) and Bitcoin.

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timeseries neural-network keras dollar btc stocks usd normalization bovespa-stocks

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