62 lines
1.4 KiB
Python
62 lines
1.4 KiB
Python
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# Constantes para indexar os tuplos:
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NAME,DATE,OPEN,MAX,MIN,CLOSE,VOLUME = 0,1,2,3,4,5,6
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def main():
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lst = loadStockFile("nasdaq.csv")
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# Show just first and last tuples:
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print("first:", lst[1])
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print("last:", lst[-1])
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print("a) totVol=", totalVolume(lst))
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print("b) maxVal=", maxValorization(lst))
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stocksDic = stocksByDateByName(lst)
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print("c) CSCO@11:", stocksDic['2020-10-12']['CSCO'])
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print("c) AMZN@22:", stocksDic['2020-10-22']['AMZN'])
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port = {'NFLX': 100, 'CSCO': 80}
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print("d) portfolio@01:", portfolioValue(stocksDic, port, "2020-10-01"))
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print("d) portfolio@30:", portfolioValue(stocksDic, port, "2020-10-30"))
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def loadStockFile(filename):
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lst = []
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with open(filename) as f:
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for line in f:
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parts = line.strip().split('\t')
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name = parts[NAME]
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date = parts[DATE]
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tup = (name, date, float(parts[OPEN]), float(parts[MAX]),
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float(parts[MIN]), float(parts[CLOSE]), int(parts[VOLUME]))
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lst.append(tup)
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return lst
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def totalVolume(lst):
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totVol = {}
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# Complete ...
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return totVol
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def maxValorization(lst):
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vMax = {}
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# Complete ...
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return vMax
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def stocksByDateByName(lst):
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dic = {}
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# Complete ...
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return dic
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def portfolioValue(stocks, portfolio, date):
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assert date in stocks
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val = 0.0
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# Complete ...
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return val
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if __name__ == "__main__":
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main()
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