Created
April 22, 2019 19:02
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Tickbar generator
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# expects a numpy array with trades | |
# each trade is composed of: [time, price, quantity] | |
def generate_tickbars(ticks, frequency=1000): | |
times = ticks[:,0] | |
prices = ticks[:,1] | |
volumes = ticks[:,2] | |
res = np.zeros(shape=(len(range(frequency, len(prices), frequency)), 6)) | |
it = 0 | |
for i in range(frequency, len(prices), frequency): | |
res[it][0] = times[i-1] # time | |
res[it][1] = prices[i-frequency] # open | |
res[it][2] = np.max(prices[i-frequency:i]) # high | |
res[it][3] = np.min(prices[i-frequency:i]) # low | |
res[it][4] = prices[i-1] # close | |
res[it][5] = np.sum(volumes[i-frequency:i]) # volume | |
it += 1 | |
return res |
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