pjhoberman

Hi everyone

tl;dr Is this ETF project worthwhile, of interest, useful, or should I shelve it and move on with my life?

A while ago, I was looking at some ETFs I own and wondering why they moved up or down that day. I understand that market fluctuations will do that, but I also assumed the underlying assets likely moved in some significant manner. So, I started looking at the underlying stocks to find correlations and had trouble finding a programmatic way to find what an ETF holds. While the data is freely available on brokerage sites and the ETF fund itself (in excel format, normally), I didn't find any reasonable way to get this info via api, at least not that I could afford.

pjhoberman

inp = """199
200
208
210
200
207
240
269
260
263"""

pjhoberman

def mask_val(mask, val):
    val = format(val, "#038b")[2:]
    new_val = ""
    for pair in zip(val, mask):
        if pair[1] != "X":
            new_val += pair[1]
        else:
            new_val += pair[0]
    return int(new_val, 2)

pjhoberman

with open('data.txt') as file:
    data = file.read().splitlines()

# part 1

DIRECTIONS = {
    0: 'N',
    90: 'E',
    180: 'S',
    270: 'W',

pjhoberman

from collections import Counter

# part 1
with open('scratch_28.txt') as file:
    data = file.read().splitlines()
    
def get_adjacent_seats(row, col, _data):
    previous_row = None
    next_row = None
    previous_col = None

pjhoberman

from collections import Counter

with open('data.txt') as file:
    data = file.read().splitlines()
    
def get_adjacent_seats(row, col, _data):
    previous_row = None
    next_row = None
    previous_col = None
    next_col = None

pjhoberman

[
  {
    "url": "https://www.yogajournal.com/.image/MTQ2MTgwNjcyNDg2Mzg1MDg1/leah-cullis-in-garland-pose.jpg",
    "path": "2015/12/",
    "filename": "leah-cullis-in-garland-pose.jpg",
    "ref_ids": [
      "ci02075690900a25bd"
    ]
  },
  {

pjhoberman

from itertools import permutations

with open('scratch_23.txt') as file:
    nums = file.read().splitlines()
nums = [int(nums) for nums in nums]

def check_number(numbers, preamble=25, start=0):
    pre = numbers[start:preamble+start]
    test = numbers[preamble+start]
    perms = permutations(pre, 2)

pjhoberman

with open('input.txt') as file:
    instructions = file.read().splitlines()

used = []
idx = 0
acc = 0
while idx not in used:
    used.append(idx)
    op, arg = instructions[idx].split()
    if op == "nop":

pjhoberman

import re
from collections import defaultdict
from copy import deepcopy


with open('/Users/pjhoberman/Library/Application Support/JetBrains/PyCharm2020.2/scratches/scratch_21.txt') as file:
    data = file.read()

rules = data.splitlines()
parse_re = r"(\w+ \w+) bags contain (.*)"