read data CSV files and process into trading indicators

gistfile1.py

import numpy as np
import talib

rawDataLocation = "<your folder location>"
storageLocation = "<your folder location>"

assetsToProcess = ["SPY"]

# Data types for the CSV format of the previous post
# ISO8601 date-time string should be read using |S24 due to its standard length
dtypeList = ["|S24",np.float64,np.float64,np.float64,np.float64,np.float64] 

iteratorPos = 0 # Tracks position in list of symbols to download
assetListLen = len(assetsToProcess)
while iteratorPos < assetListLen:
	symbol = assetsToProcess[iteratorPos]
	
	raw_data = np.genfromtxt(rawDataLocation + '{0}.csv'.format(symbol), delimiter=',',names=True,dtype=dtypeList)
	
	close_list = raw_data["close"]
	
	SMA20 = talib.SMA(close_list,20)
	RSI14 = talib.RSI(close_list,14)
	
	# Add your own function to store or process data as needed
	

	iteratorPos += 1