SantoshSrinivas79

async function scrollDown() {
  const wrapper = document.querySelector("#search-page-list-container");
  await new Promise((resolve, reject) => {
    var totalHeight = 0;
    var distance = 600;

    var timer = setInterval(async () => {
      var scrollHeightBefore = wrapper.scrollHeight;
      wrapper.scrollBy(0, distance);
      totalHeight += distance;

SantoshSrinivas79

const puppeteer = require('puppeteer');

class Webpage {
    static async generatePDF(url) {
        const browser = await puppeteer.launch({ headless: true }); // Puppeteer can only generate pdf in headless mode.
        const page = await browser.newPage();
        await page.goto(url, { waitUntil: 'networkidle', networkIdleTimeout: 5000 }); // Adjust network idle as required. 
        const pdfConfig = {
            path: 'url.pdf', // Saves pdf to disk. 
            format: 'A4',

SantoshSrinivas79

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: n8n-deployment
  namespace: standard
  labels: &labels
    app: n8n
    component: deployment
spec:

SantoshSrinivas79

var data = "do shash'owania";
var crypto = require('crypto');
crypto.createHash('md5').update(data).digest("hex");

SantoshSrinivas79

# daily coding post to demonstrate using ggtext

# credit: late night watch of [Spruce up your ggplot2 visualizations with formatted text? - Claus Wilke](https://resources.rstudio.com/rstudio-conf-2020/spruce-up-your-ggplot2-visualizations-with-formatted-text-claus-wilke)

# Inspired by:
# https://gist.github.com/gkaramanis/a18438d624e495784af38932650c6abe
# https://twitter.com/geokaramanis/status/1230549592103456769?s=20

# remotes::install_github("wilkelab/ggtext")

SantoshSrinivas79

library(ggplot2)

ggplot(data = data.frame(x = c(-4, 6)), aes(x)) +
  stat_function(fun = dnorm, n = 101, args = list(mean = 0, sd = 1), geom = "area", fill = "#F5BB87", alpha = 0.9) +
  stat_function(fun = dnorm, n = 101, args = list(mean = 2.7, sd = 1), geom = "area", fill = "#BBD4EB", alpha = 0.9) +
  coord_fixed(xlim = c(-5, 7), ratio = 8, clip = "off") +
  annotate("segment", x = -3.9, y = 0, xend = 6, yend = 0, color = "grey60", size = 1.3) +
  annotate("segment", x = -3.5, y = -0.04, xend = -3.5, yend = 0.42, color = "grey60", size = 1.3) +
  annotate("text", x = 0, y = 0.18, label = "what people\nactually do\nin R", family = "Arial Bold", color = "white", size = 5.2) +
  annotate("text", x = 2.75, y = 0.18, label = "what people\nassume others\ndo in R", family = "Arial Bold", color = "white", size = 5.2) +

SantoshSrinivas79

Ghost - Box Spread Analysis on NSE

This paper (https://s3-us-west-1.amazonaws.com/meteor-dalalbeat/santosh-ghost/80269143-Box-Spread-Arbitrage-Efficiency-of-Nifty-Index-Options.pdf) give a pretty good view of box spread opportunities on the NSE.

In this post, I will attempt to analyze such opportunities with the goal of earning returns in excess of a bank deposit (say 8.0%).

Load Data

Model-Kite-RAM-Box-Spread-Analysis.R loads the data in the format needed for analysis.

SantoshSrinivas79

Ghost install notes

ghost install local

sudo n 10.15.1

ps -ef|grep /usr/local/bin/killall|awk '{print $2}'|xargs kill -9

https://docs.ghost.org/api/ghost-cli/install/

SantoshSrinivas79

Meteor Scaffolder

• Get list of files required

find . -type f -name '*ghost*.js'
rm -rf ~/temp/scaffolder
mkdir -p ~/temp/scaffolder

SantoshSrinivas79

dualplot <- function(x1, y1, y2, x2 = x1, 
                     col = c("#C54E6D", "#009380"),
                     lwd = c(1, 1), colgrid = NULL,
                     mar = c(3, 6, 3, 6) + 0.1, 
                     ylab1 = paste(substitute(y1), collapse = ""), 
                     ylab2 = paste(substitute(y2), collapse = ""),
                     nxbreaks = 5, 
                     yleg1 = paste(gsub("\n$", "", ylab1), "(left axis)"), 
                     yleg2 = paste(ylab2, "(right axis)"),
                     ylim1 = NULL, ylim2 = NULL, ylim.ref = NULL,