Data Science, ML, NLP

MA_indicators.ipynb

Initial SMA (Simple Moving Average) implementation.

It gets a CSV file exporded from DB (one-day snapshot), imports it into a Pandas DataFrame, then implements SMA low/high, indicators A,B,C, bullish/bearish market as well as signals to buy/sell.

TA-Lib installation is required.

TODO: better detection of intersection of the indicators... some false positive signals because plots are too close to each other and difference is smaller then epsilon.

Name		Name	Last commit message	Last commit date
Latest commit History 313 Commits
backtesting		backtesting
genetic_algorithms		genetic_algorithms
images		images
sentiment_analysis		sentiment_analysis
.gitignore		.gitignore
00_MA_indicators.ipynb		00_MA_indicators.ipynb
01_All_Ichimoku_Signals.ipynb		01_All_Ichimoku_Signals.ipynb
01_Ichi_Price_DOWN_Signal.ipynb		01_Ichi_Price_DOWN_Signal.ipynb
01_Ichi_Price_UP_Signal.ipynb		01_Ichi_Price_UP_Signal.ipynb
01_Ichi_Staging_Resampl_DOWN.ipynb		01_Ichi_Staging_Resampl_DOWN.ipynb
01_Ichi_Staging_Resampl_UP.ipynb		01_Ichi_Staging_Resampl_UP.ipynb
02_ML_FFD_Classification.ipynb		02_ML_FFD_Classification.ipynb
02_ML_FFD_Regression.ipynb		02_ML_FFD_Regression.ipynb
03_Backtesting.ipynb		03_Backtesting.ipynb
03_ML_Keras_LSTM_Class.html		03_ML_Keras_LSTM_Class.html
03_ML_Keras_LSTM_Regression.ipynb		03_ML_Keras_LSTM_Regression.ipynb
04_LSTM_Tensor.ipynb		04_LSTM_Tensor.ipynb
04_ML_Keras_LSTM_Three_Class_ALLCOINS.ipynb		04_ML_Keras_LSTM_Three_Class_ALLCOINS.ipynb
05_ANN_Debug.ipynb		05_ANN_Debug.ipynb
05_DEBUG_Signals.ipynb		05_DEBUG_Signals.ipynb
README.md		README.md
ittutils.py		ittutils.py
lstm_model.h5		lstm_model.h5
lstm_model_2.h5		lstm_model_2.h5
lstm_model_2_2.h5		lstm_model_2_2.h5
server_lstm_Keras.py		server_lstm_Keras.py

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Data Science, ML, NLP

MA_indicators.ipynb

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