Add stoch to technical analysis

This commit is contained in:
didier
2020-12-26 01:35:11 +00:00
parent f71259bcda
commit a18744bf5d
2 changed files with 61 additions and 7 deletions

View File

@@ -52,10 +52,11 @@ def print_help(s_ticker, s_start, b_is_market_open):
print(" ratings company ratings from strong sell to strong buy")
print("\nTechnical Analysis:")
print(" sma simple moving average")
print(" ema exponential moving average")
print(" macd moving average convergence/divergence")
print(" vwap volume weighted average price")
print(" sma simple moving average [daily]")
print(" ema exponential moving average [daily]")
print(" macd moving average convergence/divergence [daily]")
print(" vwap volume weighted average price [intradaily]")
print(" stoch stochastic oscillator [daily]")
print("\nPrediction:")
print(" ma")
@@ -96,7 +97,9 @@ def main():
main_parser = argparse.ArgumentParser(prog='stock_market_bot', add_help=False)
# Add list of arguments that the main parser accepts
main_parser.add_argument('cmd', choices=['quit', 'help', 'gainers' ,'view', 'load', 'clear', 'sma', 'ema', 'macd', 'vwap', 'ratings'])
main_parser.add_argument('cmd', choices=['quit', 'help', 'gainers' ,'view', 'load', 'clear',
'sma', 'ema', 'macd', 'vwap', 'stoch',
'ratings'])
# Print first welcome message and help
print("\nWelcome to Didier's Stock Market Bot\n")
@@ -158,6 +161,8 @@ def main():
smfa.ratings(l_args, s_ticker)
continue
#from alpha_vantage.fundamentaldata import FundamentalData
# --------------------------------------------------------------------------------------------------------------
# -------------------------------------------- TECHNICAL ANALYSIS ----------------------------------------------
# --------------------------------------------------------------------------------------------------------------
@@ -181,6 +186,11 @@ def main():
elif ns_known_args.cmd == 'vwap':
smta.vwap(l_args, s_ticker, s_start)
continue
# ---------------------------------------------------- STOCH ----------------------------------------------------
elif ns_known_args.cmd == 'stoch':
smta.stoch(l_args, s_ticker, df_stock)
continue
# --------------------------------------------------------------------------------------------------------------
# ------------------------------------------------ PREDICTION --------------------------------------------------

View File

@@ -131,7 +131,7 @@ def vwap(l_args, s_ticker, s_start):
try:
ts = TimeSeries(key=cfg.API_KEY_ALPHAVANTAGE, output_format='pandas')
s_interval = str(ns_parser.n_interval)+'min'
df_stock, d_stock_metadata = ts.get_intraday(symbol=s_ticker, outputsize='full', interval=s_interval)
df_stock, d_stock_metadata = ts.get_intraday(symbol=s_ticker, outputsize='full', interval=s_interval)
if s_start:
df_stock = df_stock[s_start:]
@@ -145,4 +145,48 @@ def vwap(l_args, s_ticker, s_start):
except:
print("")
return
return
# ----------------------------------------------------- STOCH -----------------------------------------------------
def stoch(l_args, s_ticker, df_stock):
parser = argparse.ArgumentParser(prog='stoch',
description=""" The Stochastic Oscillator measures where the close is in relation
to the recent trading range. The values range from zero to 100. %D values over 75
indicate an overbought condition; values under 25 indicate an oversold condition.
When the Fast %D crosses above the Slow %D, it is a buy signal; when it crosses
below, it is a sell signal. The Raw %K is generally considered too erratic to use
for crossover signals. """)
parser.add_argument('-k', "--fastkperiod", action="store", dest="n_fastkperiod", type=check_positive, default=5,
help='The short period.')
parser.add_argument('-d', "--slowdperiod", action="store", dest="n_slowdperiod", type=check_positive, default=3,
help='The short period.')
parser.add_argument("--slowkperiod", action="store", dest="n_slowkperiod", type=check_positive, default=3,
help='The short period.')
parser.add_argument("--slowkmatype", action="store", dest="n_slowkmatype", type=check_positive, default=0,
help='The short period.')
parser.add_argument("--slowdmatype", action="store", dest="n_slowdmatype", type=check_positive, default=0,
help='The short period.')
try:
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
except SystemExit:
print("")
return
if l_unknown_args:
print(f"The following args couldn't be interpreted: {l_unknown_args}")
try:
df_ta = ta.stoch(high=df_stock['2. high'],
low=df_stock['3. low'],
close=df_stock['4. close'],
k=ns_parser.n_fastkperiod,
d=ns_parser.n_slowdperiod,
smooth_k=ns_parser.n_slowkperiod).dropna()
plot_ta(s_ticker, df_ta, f"SlowK{ns_parser.n_slowkperiod}-SlowD{ns_parser.n_slowdperiod} STOCH")
except:
print("")
return