def printAnalysisStats(self):
print("Analysis of %d metric datapoints" % len(self._analysis_metrics))
trade_mean, trade_std = weighted_avg_and_std(self._trade_prices, self._trade_volumes)
print("Weighted mean trade price: %.2f" % trade_mean)
print("Weighted STD trade price: %.2f" % trade_std)
mean = np.average(list(map(abs, self._analysis_metrics)))
print("Metric mean of abs: %s" % mean)
std = np.std(self._analysis_metrics)
print("Metric standard deviation: %f" % std)
n_sigma = 2
faktor = 5 / (n_sigma * std)
print("Best quantization factor: %f" % faktor)
mean, sd = weighted_avg_and_std(self._trade_intervals)
print("Mean gap between trades: %.2fs" % mean)
print("SD of trade gaps: %.2fs" % sd)
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