Enhancement request: combine pattern filters

[mwahal]

First of all, great package!!

I have a request if its possible to combine pattern filters. For example, I want to find out all the stocks in sp500 which either have a wedge pattern or downward channel.

Thanks mwahal

[d3an]

As of now, I think (not sure) this is only available in the Elite version. To implement this feature, the function would require at least 2 requests and some filtering functionality to implement. If you're interested, you could add it as a feature.

[mwahal]

Here is my crude attempt to implement it. It basically takes sp500 stocks which are above 50DMA. Then find the stocks which are either in ta_pattern_channeldown or ta_pattern_wedge. Then it finds a union and intersection of these two sets.

!/usr/bin/env python

from finviz.screener import Screener import sys

debug = False debug_list = False tickers = [] def print_all(): for stock in stock_list: # Loop print(stock['Ticker'], stock['Price']) # Print symbol and price

def add_to_tickers(): for stock in stock_list: tickers.append(stock['Ticker'])

def print_tickers(): for t in tickers: print ("%s," % t, end='') print("")

def print_list(msg, this_list): if len(this_list) > 0: print ("%s " % msg, end='') for t in this_list: print ("%s," % t, end='') print("")

filters = ['idx_sp500', 'ta_sma50_pa'] # Shows sp500 and above 50day SMA if len(sys.argv) > 1 and sys.argv[1] != '': arg_tickers = sys.argv[1].split(',') else: arg_tickers = None

filters = ['idx_ndx', 'ta_sma50_pa'] # Shows sp500 and above 50day SMA

stock_list = Screener(tickers=arg_tickers, filters=filters, table='Technical', order='ticker') # Get the performance table and sort it by price ascending

print (stock_list.get_ticker_details())

sp500_50dma = [stocks['Ticker'] for stocks in stock_list]

if debug_list: print ("sp500_50dma") print (sp500_50dma)

sp500_50dma_ta_pattern_channeldown = []

print_all()

try: stock_list.add(filters=['ta_pattern_channeldown']) # Show stocks with high dividend yield add_to_tickers() sp500_50dma_ta_pattern_channeldown = [stocks['Ticker'] for stocks in stock_list] sp500_50dma_ta_pattern_channeldown.sort() except: pass

if debug_list: print ("sp500_50dma_ta_pattern_channeldown") print (sp500_50dma_ta_pattern_channeldown)

if debug: print("After ta_pattern_channeldown") print_all()

sp500_50dma_ta_pattern_wedge = []

try: stock_list.add(filters=['ta_pattern_wedge']) # Show stocks with high dividend yield add_to_tickers()

sp500_50dma_ta_pattern_wedge = [stocks['Ticker'] for stocks in stock_list]
sp500_50dma_ta_pattern_wedge.sort()

except: pass

if debug_list: print ("sp500_50dma_ta_pattern_wedge") print (sp500_50dma_ta_pattern_wedge)

if debug: print("After ta_pattern_wedge") print_all()

tickers.sort()

print_tickers()

sp500_filtered_stocks = list(set(sp500_50dma_ta_pattern_channeldown + sp500_50dma_ta_pattern_wedge)) sp500_intersection_filter = list(set(sp500_50dma_ta_pattern_channeldown).intersection(sp500_50dma_ta_pattern_wedge)) sp500_filtered_stocks.sort()

print ("sp500_filtered_stocks")

sp500_intersection_filter.sort()

print_list ("OR", sp500_filtered_stocks) print_list ("AND", sp500_intersection_filter)

stock_list.get_ticker_details()