- fixed plot
- refactored git-svn-id: http://moon:8086/svn/projects/Stock@331 fda53097-d464-4ada-af97-ba876c37ca34
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@@ -16,7 +16,7 @@ from stock import Stock
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key = '0UO7Z2MVZ2YSQSVE'
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params = {
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'show_range_days' : 5,
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'show_range_days' : 10,
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'k_euro' : 1 / 1.11,
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'ema_alpha' : 0.75,
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'sma_days' : 10,
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@@ -13,20 +13,20 @@ import matplotlib as mpl
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mpl.rc('figure', max_open_warning = 0)
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class Stock(object):
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def __init__(self, params2, symbol, params):
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self.params = params
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def __init__(self, params, symbol, symbol_params):
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self.symbol_params = symbol_params
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self.symbol = symbol
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self.params2 = params2
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self.params = params
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try:
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self.name = params['name']
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self.name = symbol_params['name']
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except:
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self.name = symbol
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self.ax = None
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self.fig = None
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self.currency = params['currency']
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self.currency = symbol_params['currency']
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self.currency_corr = 1
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if '$' in self.currency:
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self.currency_corr = self.params2['k_euro']
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self.currency_corr = self.params['k_euro']
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self.data = {}
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self.boll = {}
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@@ -48,7 +48,7 @@ class Stock(object):
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try:
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lastmodified = dt.datetime.fromtimestamp(os.stat(filename).st_mtime).date()
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if lastmodified != today:
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fetch = self.params2['fetch_on_outdated']
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fetch = self.params['fetch_on_outdated']
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except:
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fetch = True
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@@ -84,12 +84,12 @@ class Stock(object):
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def statistics(self):
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N = len(self.data['index'])
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self.data['ema'] = exponential_moving_average(self.data, key='close', alpha=self.params2['ema_alpha'])
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self.data['sma'] = moving_average(self.data, key='close', window_days=self.params2['sma_days'])
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self.data['ema'] = exponential_moving_average(self.data, key='close', alpha=self.params['ema_alpha'])
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self.data['sma'] = moving_average(self.data, key='close', window_days=self.params['sma_days'])
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self.data['close_n'] = normalize(self.data, key='close')
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self.data['macd'] = macd(self.data, key='close_n')
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self.data['min'] = moving_min(self.data, key='close_n', window_days=self.params2['q_days'])
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self.data['max'] = moving_max(self.data, key='close_n', window_days=self.params2['q_days'])
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self.data['min'] = moving_min(self.data, key='close_n', window_days=self.params['q_days'])
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self.data['max'] = moving_max(self.data, key='close_n', window_days=self.params['q_days'])
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self.data['Qmin'] = self.data['close_n'] - self.data['min']
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self.data['Qmax'] = self.data['close_n'] - self.data['max']
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@@ -125,9 +125,10 @@ class Stock(object):
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return result
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def __plot(self, data, keys):
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def __plot(self, id, data, keys):
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ax = plt.subplot(id)
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N = len(data['index'])
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start = max(0, N - self.params2['show_range_days'])
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start = max(0, N - self.params['show_range_days'])
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stop = N
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xr = list(range(start, stop))
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sliced = Stock.slice(data, start, stop)
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@@ -137,16 +138,15 @@ class Stock(object):
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def hover(event):
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if event.inaxes == self.ax:
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if event.inaxes == ax:
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x_idx = min(N-1, int(event.xdata))
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self.ax.format_xdata = lambda x: self.data['index'][x_idx]
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self.ax.format_ydata = lambda y: '{:.2f}%'.format(self.data['close_n'][x_idx])
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ax.format_xdata = lambda x: self.data['index'][x_idx]
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self.fig.canvas.mpl_connect("motion_notify_event", hover)
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def __ind(self, data, keys):
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N = len(data['index'])
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start = max(0, N - self.params2['show_range_days'])
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start = max(0, N - self.params['show_range_days'])
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stop = N
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xr = list(range(start, stop))
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sliced = Stock.slice(data, start, stop)
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@@ -156,27 +156,26 @@ class Stock(object):
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def show(self, indicators, figNum=1):
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num_subplots = 4
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subplot_id = 100*num_subplots + 10 + 1
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self.fig = plt.figure(figNum)
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self.ax = plt.subplot(100*num_subplots + 10 + 1)
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self.__plot(self.data, ['min', 'max', 'close_n'])
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self.__plot(subplot_id, self.data, ['min', 'max', 'close_n'])
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self.__ind(indicators, ['BTFD'])
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plt.title('{} ({})'.format(self.name, self.symbol))
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plt.legend()
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plt.grid()
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plt.subplot(100*num_subplots + 10 + 2)
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subplot_id += 1
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# self.__plot(self.boll, ['lower', 'mid', 'upper'])
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self.__plot(self.data, ['Qmin', 'Qmax'])
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self.__plot(subplot_id, self.data, ['Qmin', 'Qmax'])
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plt.legend()
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plt.grid()
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plt.subplot(100*num_subplots + 10 + 3)
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self.__plot(self.data, ['macd', 'macd_f'])
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subplot_id += 1
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self.__plot(subplot_id, self.data, ['macd', 'macd_f'])
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plt.legend()
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plt.grid()
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plt.subplot(100*num_subplots + 10 + 4)
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self.__plot(self.data, ['macd_fd', 'macd_fdd'])
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subplot_id += 1
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self.__plot(subplot_id, self.data, ['macd_fd', 'macd_fdd'])
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plt.legend()
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plt.grid()
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