include ema
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parent
1d55b7d452
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38
analyze.py
38
analyze.py
@ -21,7 +21,7 @@ def get_ticker_dataframe(pair):
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:param pair: pair as str in format BTC_ETH or BTC-ETH
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:return: StockDataFrame
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"""
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minimum_date = arrow.now() - timedelta(hours=2)
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minimum_date = arrow.now() - timedelta(hours=12)
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url = 'https://bittrex.com/Api/v2.0/pub/market/GetTicks'
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headers = {
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36',
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@ -61,7 +61,9 @@ def populate_trends(dataframe):
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:return: StockDataFrame with populated trends
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"""
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dataframe.loc[
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(dataframe['stochrsi'] < 0.20), 'underpriced'
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(dataframe['stochrsi'] < 0.20)
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& (dataframe['close_60_ema'] > (1 + 0.005) * dataframe['close_120_ema']),
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'underpriced'
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] = 1
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dataframe.loc[dataframe['underpriced'] == 1, 'buy'] = dataframe['close']
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return dataframe
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@ -90,25 +92,25 @@ def plot_dataframe(dataframe, pair):
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"""
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# Three subplots sharing x axe
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f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True)
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f, (ax1, ax2) = plt.subplots(2, sharex=True)
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f.suptitle(pair, fontsize=14, fontweight='bold')
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ax1.plot(dataframe.index.values, dataframe['close'], label='close')
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ax1.plot(dataframe.index.values, dataframe['close_12_ema'], label='EMA(12)')
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ax1.plot(dataframe.index.values, dataframe['close_26_ema'], label='EMA(26)')
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ax1.plot(dataframe.index.values, dataframe['close_60_ema'], label='EMA(60)')
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ax1.plot(dataframe.index.values, dataframe['close_120_ema'], label='EMA(120)')
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# ax1.plot(dataframe.index.values, dataframe['sell'], 'ro', label='sell')
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ax1.plot(dataframe.index.values, dataframe['buy'], 'bo', label='buy')
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ax1.legend()
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ax2.plot(dataframe.index.values, dataframe['macd'], label='MACD')
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ax2.plot(dataframe.index.values, dataframe['macds'], label='MACDS')
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ax2.plot(dataframe.index.values, dataframe['macdh'], label='MACD Histogram')
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ax2.plot(dataframe.index.values, [0] * len(dataframe.index.values))
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ax2.legend()
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#ax2.plot(dataframe.index.values, dataframe['macd'], label='MACD')
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#ax2.plot(dataframe.index.values, dataframe['macds'], label='MACDS')
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#ax2.plot(dataframe.index.values, dataframe['macdh'], label='MACD Histogram')
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#ax2.plot(dataframe.index.values, [0] * len(dataframe.index.values))
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#ax2.legend()
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ax3.plot(dataframe.index.values, dataframe['stochrsi'], label='StochRSI')
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ax3.plot(dataframe.index.values, [0.80] * len(dataframe.index.values))
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ax3.plot(dataframe.index.values, [0.20] * len(dataframe.index.values))
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ax3.legend()
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ax2.plot(dataframe.index.values, dataframe['stochrsi'], label='StochRSI')
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ax2.plot(dataframe.index.values, [0.80] * len(dataframe.index.values))
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ax2.plot(dataframe.index.values, [0.20] * len(dataframe.index.values))
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ax2.legend()
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# Fine-tune figure; make subplots close to each other and hide x ticks for
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# all but bottom plot.
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@ -120,6 +122,10 @@ def plot_dataframe(dataframe, pair):
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if __name__ == '__main__':
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while True:
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pair = 'BTC_ANT'
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for pair in ['BTC_ANT', 'BTC_ETH', 'BTC_GNT', 'BTC_ETC']:
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get_buy_signal(pair)
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#for pair in ['BTC_ANT', 'BTC_ETH', 'BTC_GNT', 'BTC_ETC']:
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#get_buy_signal(pair)
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dataframe = get_ticker_dataframe(pair)
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dataframe = populate_trends(dataframe)
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plot_dataframe(dataframe, pair)
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time.sleep(60)
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3
main.py
3
main.py
@ -80,7 +80,8 @@ class TradeThread(threading.Thread):
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@staticmethod
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def _process():
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"""
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Queries the persistence layer for new trades and handles them
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Queries the persistence layer for open trades and handles them,
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otherwise a new trade is created.
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:return: None
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"""
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# Query trades from persistence layer
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