rahulmr

from upstox_api.api import *
from datetime import datetime
from pprint import pprint
import os, sys
from tempfile import gettempdir

try: input = raw_input
except NameError: pass

u = None

rahulmr

# -*- encoding: utf-8 -*-
# requires a recent enough python with idna support in socket
# pyopenssl, cryptography and idna

from OpenSSL import SSL
from cryptography import x509
from cryptography.x509.oid import NameOID
import idna

from socket import socket

rahulmr

<script src="ticker.js"></script>

<script>
var ticker = new KiteTicker({api_key: "api_key", access_token: "access_token"});

ticker.connect();
ticker.on("ticks", onTicks);
ticker.on("connect", subscribe);

function onTicks(ticks) {

rahulmr

'''
Hi traders,

Here is a simple generic example for implementing a postback mechanism. You can host this in a remote server or in your local server itself.

Run Locally
===========

1. Install ngrok from https://ngrok.com/

rahulmr

################## Ticks to candles in kiteconnect python ####################
# Author : Arun B
# Reference  : http://ezeetrading.in/Articles/Candles_formation_from_tick_data_zerodha.html
# Purpose : Convert ticks to candles by putting ticks in a queue. This redues time wasted in on_ticks function
################################################################################

from kiteconnect import KiteTicker
import datetime
from copy import copy
import queue

rahulmr

################## Ticks to candles in kiteconnect python ####################
# Author : Arun B
# Reference  : http://ezeetrading.in/Articles/Candles_formation_from_tick_data_zerodha.html
# Purpose : Convert ticks to candles by putting ticks in a queue. This redues time wasted in on_ticks function
################################################################################

from kiteconnect import KiteTicker
import datetime
from copy import copy
import queue

rahulmr

# -*- coding: utf-8 -*-
import json
import os
import logmatic
import logging
from logging.config import dictConfig
import requests
from http import HTTPStatus
import re
from kiteconnect import KiteConnect

rahulmr

#######################################################################
# Author : Arun B
# 
# Purpose : Automate the process of generating access token for kiteconnect in python
############################################################################
# For this code to run you have to download geckodriver and put it in /usr/local/bin
from kiteconnect import KiteConnect,KiteTicker
import requests
from selenium import webdriver
from selenium.webdriver.common.by import By

rahulmr

# -*- coding: utf-8 -*-
import json
import os
import logmatic
import logging
from logging.config import dictConfig
import requests
from http import HTTPStatus

__author__ = "GannyS"

rahulmr

import pandas as pd
import pandas_ta as ta
from dateutil import parser

df = pd.read_csv('AUD_CAD.csv', sep=',', names=[
                 'datetime', 'bid_open', 'bid_high', 'bid_low', 'bid_close', 'ask_open', 'ask_high', 'ask_low', 'ask_close', 'mid_open', 'mid_high', 'mid_low', 'mid_close', 'volume'], error_bad_lines=False, parse_dates=['datetime'])

df.ta.atr(append=True, high='bid_high', low='bid_low', close='bid_close')

print(df)