Calculate simple moving average using talib and pandas.

sma.py

import datetime
import time
import config
import json
from pymongo import MongoClient
from cryptolib import utils

# technical analysis libraries
import talib as ta
import pandas as pd
import numpy as np

client = MongoClient()
db = client.cryptodisco
prices = db.crypto_prices
cs = db.crypto_candlesticks

print('crypto scripts ...')
cursor = cs.aggregate([
{'$match': {'ticker': 'LTC'}}, 
{'$sort': {'utc_timestamp': -1, 'open_time': 1}}, 
{'$limit': 50}, {'$project': {'_id': 0, 'open': 1, 'close': 1, 'high': 1, 
  'low': 1, 'volume': 1, 'ticker': 1, 'batch_id': 1}}
])

# Prepare data for numpy and talib
d = pd.DataFrame(list(cursor))

close_float = [float(x) for x in d.close]
open_float = [float(x) for x in d.open]

close_price = np.array(close_float)
open_price = np.array(open_float)
volume = np.array(d.volume)

print("SMA 5")
out = ta.SMA(close_price, timeperiod=5)
print(out[-1])
print("SMA 8")
out = ta.SMA(close_price, timeperiod=8)
print(out[-1])
print("SMA 13")
out = ta.SMA(close_price, timeperiod=13)
print(out[-1])