Varad Kshirsagar Varad2305

🏠

Working from home

Applications Engineer @ Oracle India

Varad2305 / insider_trading.py

Created January 20, 2022 17:28

	import pandas as pd
	import numpy as np
	from datetime import date,time,timedelta
	from nsepy import get_history
	import copy
	import requests
	import datetime

	#@st.cache()
	def fetchInsiderData(lookback_period):

Varad2305 / test.py

Created January 20, 2022 17:00

	import subprocess
	import os

	subprocess.Popen('curl "https://www.nseindia.com/api/quote-derivative?symbol=BANKNIFTY" -H "authority: beta.nseindia.com" -H "cache-control: max-age=0" -H "dnt: 1" -H "upgrade-insecure-requests: 1" -H "user-agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.117 Safari/537.36" -H "sec-fetch-user: ?1" -H "accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,/;q=0.8,application/signed-exchange;v=b3;q=0.9" -H "sec-fetch-site: none" -H "sec-fetch-mode: navigate" -H "accept-encoding: gzip, deflate, br" -H "accept-language: en-US,en;q=0.9,hi;q=0.8" --compressed -o maxpain.txt', shell=True)

	f=open("maxpain.txt","r")
	var=f.read()
	print(var)

Varad2305 / digital_clock.js

Created April 24, 2020 12:27

	function updateClock(){
	var currentTime = new Date();
	var currentHours = currentTime.getHours();
	var currentMins = currentTime.getMinutes();
	var currentSecs = currentTime.getSeconds();
	currentMins = ( currentMins < 10 ? "0" : "" ) + currentMins;
	currentSecs = ( currentSecs < 10 ? "0" : "" ) + currentSecs;
	var timeOfDay = ( currentHours < 12 ) ? "AM" : "PM";
	currentHours = ( currentHours > 12 ) ? currentHours - 12 : currentHours;
	currentHours = ( currentHours == 0 ) ? 12 : currentHours;

Varad2305 / digital_clock.html

Created April 24, 2020 12:26

	<span id="clock"> </span>
	<body onload="updateClock();setInterval('updateClock()', 1000 )">

Varad2305 / test.py

Created April 18, 2020 09:20

print("im here")

Varad2305 / model.py

Created March 17, 2020 04:00

	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt

	from sklearn.model_selection import train_test_split
	from sklearn.metrics import roc_auc_score

	from sklearn.preprocessing import StandardScaler

	from src.algorithms import DAGMM,LSTMAD

Varad2305 / DCSC.cpp

Created February 23, 2020 17:23

	#include <bits/stdc++.h>
	using namespace std;



	void DFS(long long v,map<long long, vector<long long>> &adj,vector<long long> &ans){
	ans.push_back(v);
	auto itr = adj.find(v);
	if(itr != adj.end()){
	vector<long long> aux = itr->second;