import functions as f
import datetime
import pandas as pd
import numpy as np


def initBot():
    tickers = ['aa', 'aapl', 'ggal', 'jpm', 'bac', 'dal', 'ba', 'amd', 'f',
        'axp', 'bbd', 'ccl', 'aig', 'fb', 'jmia']
    dbName = 'market_stocks'
    timeFrame = '60m'
    uploadTwoYearsAgo = '5d'
    uploadLastDay = '1d'
    stocksAlert = np.array([])
    for i in range(len(tickers)):
        tableName = tickers[i] + timeFrame
        stocksAlert = np.append(stocksAlert, f.initScreener(tickers[i],
            timeFrame, uploadTwoYearsAgo, uploadLastDay, tableName, dbName))
    return stocksAlert


def initOneStock(ticker):
    timeFrame = '60m'
    tableName = ticker + timeFrame
    stockAlertTicker = f.dataStock(ticker, tableName)
    return stockAlertTicker

6edffe0a4107ba79ebadefd9f15d9e6cbab412a9
<mask token>

<mask token>


def initOneStock(ticker):
    timeFrame = '60m'
    tableName = ticker + timeFrame
    stockAlertTicker = f.dataStock(ticker, tableName)
    return stockAlertTicker

<mask token>


def initBot():
    tickers = ['aa', 'aapl', 'ggal', 'jpm', 'bac', 'dal', 'ba', 'amd', 'f',
        'axp', 'bbd', 'ccl', 'aig', 'fb', 'jmia']
    dbName = 'market_stocks'
    timeFrame = '60m'
    uploadTwoYearsAgo = '5d'
    uploadLastDay = '1d'
    stocksAlert = np.array([])
    for i in range(len(tickers)):
        tableName = tickers[i] + timeFrame
        stocksAlert = np.append(stocksAlert, f.initScreener(tickers[i],
            timeFrame, uploadTwoYearsAgo, uploadLastDay, tableName, dbName))
    return stocksAlert


def initOneStock(ticker):
    timeFrame = '60m'
    tableName = ticker + timeFrame
    stockAlertTicker = f.dataStock(ticker, tableName)
    return stockAlertTicker

import functions as f
import datetime
import pandas as pd
import numpy as np


def initBot():
    tickers = ['aa', 'aapl', 'ggal', 'jpm', 'bac', 'dal', 'ba', 'amd', 'f',
        'axp', 'bbd', 'ccl', 'aig', 'fb', 'jmia']
    dbName = 'market_stocks'
    timeFrame = '60m'
    uploadTwoYearsAgo = '5d'
    uploadLastDay = '1d'
    stocksAlert = np.array([])
    for i in range(len(tickers)):
        tableName = tickers[i] + timeFrame
        stocksAlert = np.append(stocksAlert, f.initScreener(tickers[i],
            timeFrame, uploadTwoYearsAgo, uploadLastDay, tableName, dbName))
    return stocksAlert


def initOneStock(ticker):
    timeFrame = '60m'
    tableName = ticker + timeFrame
    stockAlertTicker = f.dataStock(ticker, tableName)
    return stockAlertTicker
