Beispiel #1
0
def eval_stock(ticker):
    result = "Summary: "
    score = 0
    momentum = False
    if ystockquote.get_50_sma(ticker) > ystockquote.get_200_sma(ticker):
        result+="stock has momentum, 50 day moving avg is %s and 200 day is %s" % (ystockquote.get_50_sma(ticker),
        ystockquote.get_200_sma(ticker))
        score+=1
        momentum=True
    else:
        result+="Stock has no momentum, 50 day moving avg is %s and 200 day is %s" % (ystockquote.get_50_sma(ticker),
        ystockquote.get_200_sma(ticker))

    if float(ystockquote.get_1_year_target(ticker)) > (1.2 * float(ystockquote.get_todays_high(ticker))):
        result+=" 20% away from price target"
        score += 1

    #Short ratio of 5 or higher with positive momentum means investors may likely buy to cover soon
    if momentum==True and float(ystockquote.get_short_ratio(ticker)) > 3.0:
        score+=2

    result+= " \n short ratio is " + ystockquote.get_short_ratio(ticker)

    if float(ystockquote.get_eps(ticker))>.02*float(ystockquote.get_todays_high(ticker)):
        score+=1.5

    result += " \n EPS: " + ystockquote.get_eps(ticker) + " today's high is " + ystockquote.get_todays_high(ticker)

    result+= " \n , notes (if applicable)" + ystockquote.get_notes(ticker)
    return result, "Score is " + str(score)
def eps_threshold(symbol):
    cur_eps = ystockquote.get_eps(symbol)
    if ('N/A' == cur_eps):
        return True
    elif (float(cur_eps) >= eps_limit):
        return True
    else:
        return False
Beispiel #3
0
def eps_threshold(symbol):
	cur_eps = ystockquote.get_eps(symbol)
   	if('N/A' == cur_eps):
		return True
   	elif(float(cur_eps) >= eps_limit):
		return True
   	else:
		return False
Beispiel #4
0
    return tickers

print(store_tickers("tickers.csv"))



print (eval_stock('CSG'))

print (type(float(ystockquote.get_todays_high('GOOG'))))

print(ystockquote.get_short_ratio('LQMT'))


print(ystockquote.get_eps_estimate_current_year('GOOG'))
#trailing 12 months number
print(ystockquote.get_eps('GOOG'))
print(ystockquote.get_price_eps_estimate_current_year('GOOG'))



##Some of the methods available
name = ystockquote.get_company_name('GOOG')

mktcap = ystockquote.get_market_cap('GOOG')

print ("Name: %s , Market Cap %s" %(name,mktcap))

ystockquote.get_200_sma()
ystockquote.get_50_sma()
ystockquote.get_annualized_gain()
ystockquote.get_1_year_target()
def get_eps(symbol):
    cur_eps = ystockquote.get_eps(symbol)
    if ('N/A' == cur_eps):
        return 0.0
    else:
        return cur_eps
Beispiel #6
0
def get_eps(symbol):
	cur_eps = ystockquote.get_eps(symbol)
        if('N/A' == cur_eps):
		return 0.0
	else:
		return cur_eps