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Nathan Bendich neonb88

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@neonb88
neonb88 / Thanksgiving_plan_2023.txt
Created November 21, 2023 11:11
2023 Thanksgiving Plan
=================
November 20, 2023
=================
-2. Serving Utensil(s)
@neonb88
neonb88 / SPY.csv
Created November 18, 2023 17:21
SPY.csv
Date Close
4/5/1999 16:00:00 132.41
4/6/1999 16:00:00 132.09
4/7/1999 16:00:00 133.16
4/8/1999 16:00:00 134.84
4/9/1999 16:00:00 134.88
4/12/1999 16:00:00 136.31
4/13/1999 16:00:00 135.44
4/14/1999 16:00:00 133.16
4/15/1999 16:00:00 132.66
@neonb88
neonb88 / SMMD.csv
Created November 9, 2023 03:41
Date Close
7/7/2017 16:00:00 39.69
7/10/2017 16:00:00 39.69
7/11/2017 16:00:00 39.69
7/12/2017 16:00:00 39.69
7/13/2017 16:00:00 39.69
7/14/2017 16:00:00 40.26
7/17/2017 16:00:00 40.22
7/18/2017 16:00:00 40.14
7/19/2017 16:00:00 40.14
@neonb88
neonb88 / IWM.csv
Created November 9, 2023 03:30
Date Close
5/30/2000 16:00:00 47.41
5/31/2000 16:00:00 47.58
6/1/2000 16:00:00 48.66
6/2/2000 16:00:00 51.19
6/5/2000 16:00:00 51
6/6/2000 16:00:00 51.5
6/7/2000 16:00:00 51.56
6/8/2000 16:00:00 51.44
6/9/2000 16:00:00 52.34
@neonb88
neonb88 / SVSPX.csv
Created November 8, 2023 15:37
Date Close
4/1/2020 16:00:00 178.32
4/2/2020 16:00:00 182.46
4/3/2020 16:00:00 179.7
4/6/2020 16:00:00 192.36
4/7/2020 16:00:00 192.06
4/8/2020 16:00:00 198.6
4/9/2020 16:00:00 201.54
4/13/2020 16:00:00 199.5
4/14/2020 16:00:00 205.62
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neonb88 / FSGGX.csv
Created November 8, 2023 15:24
Date Close
9/8/2011 16:00:00 10
9/9/2011 16:00:00 9.71
9/12/2011 16:00:00 9.5
9/13/2011 16:00:00 9.57
9/14/2011 16:00:00 9.64
9/15/2011 16:00:00 9.82
9/16/2011 16:00:00 9.84
9/19/2011 16:00:00 9.59
9/20/2011 16:00:00 9.62
@neonb88
neonb88 / qqq_raw.csv
Created October 30, 2023 19:21
prices for
Date QQQ_ETF_Price
4/1/1999 16:00:00 53.65
4/2/1999 16:00:00 53.65
4/5/1999 16:00:00 55.49
4/6/1999 16:00:00 55.47
4/7/1999 16:00:00 54.81
4/8/1999 16:00:00 55.62
4/9/1999 16:00:00 55.81
4/12/1999 16:00:00 55.48
4/13/1999 16:00:00 54.38
@neonb88
neonb88 / qqq.csv
Created October 30, 2023 19:08
Calculate best ETF returns, ETF return stability, and other statistics among ETFs; first I'm doing this manually but later I will systematize this and calculate the same numbers for all the different ETFs I might be able to invest in. I'm starting with QQQ.csv
ETF statistics Example command:
GOOGLEFINANCE - Google Docs Editors Help GOOGLEFINANCE("NASDAQ:GOOG","price", DATE(2014,1,1), DATE(2014,12,31),"DAILY")
Date Price (Closing)
Date Close if we're want historical data for all the ETFs on some big list we compile from Morningstar or Google or wherever, we can use Sheets' functions to "for-each" through all of em and put all the data in Sheets properly
1/3/2000 16:00:00 94.81
1/4/2000 16:00:00 88.01
1/5/2000 16:00:00 86.25
@neonb88
neonb88 / linkedin.txt
Created October 15, 2023 18:27
My LinkedIn
www.linkedin.com/in/nathanbendich
@neonb88
neonb88 / radix_sort.py
Created April 24, 2019 00:54
radix sort, improved from https://gist.github.com/rizkyabdilah/1740053
# based off of https://gist.github.com/rizkyabdilah/1740053 ; resolved the case radix_sort([10000, 1000, 100, 10, 0])
def radix_sort(random_list):
'''
LSD (Least Significant Digit)
I think this works only on positive integers
'''
max_num_digs=-float('inf') # make sure we get to the max 10s place of the numbers within "random_list"
for e in random_list:
if e==0: # was giving -inf when we took log(0)