smartvnm

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © mildSnail31034

//@version=5
strategy("Pva levels strategy", overlay=true, margin_long=100, margin_short=100)

lenvolma = input.int(title="Volume MA",defval=3)
atrlen = input.int(title="ATR length" , defval=14)
atrmult = input.float(title="Body ratio",defval=0.8)
volma = ta.ema(volume,lenvolma)

smartvnm

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © mildSnail31034

//@version=5
indicator("PVA levels",overlay=true)
lenvolma = input.int(title="Volume MA",defval=3)
atrlen = input.int(title="ATR length" , defval=14)
atrmult = input.float(title="Body ratio",defval=0.8)
volma = ta.ema(volume,lenvolma)
volmult = input(1.2,title="Vol Multiple of MA")

smartvnm

import people_also_ask
term = input("Search query: ")
a = people_also_ask.get_related_questions(term)
b = people_also_ask.get_answer(term)


print(b)
for x in a:
  print(x)
  y = people_also_ask.get_answer(x)

smartvnm

import os
from googlesearch import search
from goose3 import Goose
keyword=input("Enter Keyword:")
resno=int(input("Number of results to scrape:"))
for url in search(keyword, tld='com', stop= resno, user_agent='Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36'):
        g = Goose()
        article = g.extract(url)
        #print(article.cleaned_text)
        filename=keyword+'.txt'

smartvnm

# Jekyll Blogger importer gave me a bunch of HTML files
# this is a quick hack to convert them to .md
# First, we need html2markdown
# pip install html2markdown
# Put this file in _posts directory and execute
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import re
import os
import sys