guyb7

//@version=5
indicator("", "", true)

var string[] buys = array.from("2021-12-13","2021-12-03","2021-12-02","2021-11-22","2021-11-15","2021-11-08","2021-11-08","2021-02-26","2021-01-25","2021-01-22","2020-10-30","2020-10-29","2020-10-26","2020-09-25","2020-08-18")

var string[] sells = array.from("2022-10-05","2021-10-25","2021-08-31","2021-01-13")

bar_date = str.format_time(time, "yyyy-MM-dd", syminfo.timezone)

plotchar(array.includes(buys, bar_date), "Buy", "B", location.belowbar, color = color.green, size = size.small)

guyb7

import styled, { keyframes } from 'styled-components'

const rotate = keyframes`
  from {
    transform: rotate(0deg);
  }
  to {
    transform: rotate(359deg);
  }
`

guyb7

const asyncMiddleware = promise => {
  return (req, res) => {
    promise(req)
    .then(data => {
      res.status(200).json({
        success: true,
        ...data
      })
    })
    .catch(e => {

guyb7

/*
Common MouseEvents:
mousedown
mouseenter
mouseleave
mousemove
mouseout
mouseover
mouseup
*/

guyb7

<?php
// PHP implementation of Pearson's product-moment correlation coefficient
function corr($a, $b) {
    $sum_ab = 0;
    $sum_a = 0;
    $sum_b = 0;
    $sum_a_sqr = 0;
    $sum_b_sqr = 0;
    $n = min(array(count($a), count($b)));
    for ($i = 0; $i < $n; $i++) {