The first step is to limit the number of coins that will be
considered. I’ve included the top 5 coins by market cap. Following is a
table of the 5 coins. The data was from July 19th. After selecting
the coins, I used the first 2 quarters of 2019 to compute the average daily
trade volume in dollars is used to compute the weighting factor for an index.
The factor column will be used on the closing prices each day to compute that
day’s index.
Coin
|
Title
|
Price
|
MarketCap
|
AveClose
|
AveVol$M
|
Factor
|
BTC
|
BITCOIN
|
$10,561.32
|
188.283
|
$5,555.64
|
321.97
|
59.8%
|
ETH
|
ETHEREUM
|
$226.13
|
24.191
|
$175.85
|
107.5
|
20.0%
|
LTC
|
LITECOIN
|
$99.09
|
6.217
|
$72.00
|
44.68
|
8.3%
|
BCH
|
BITCOIN CASH / BCC
|
$318.86
|
5.708
|
$248.75
|
32.7
|
6.1%
|
XRP
|
RIPPLE
|
$0.33
|
32.717
|
$0.35
|
31.44
|
5.8%
|
The top of the chart has the BTC closing prices. The other
two other lines are a plot of the computed values from the linear and quadratic
regressions. The bottom group are the
index values. The linear line showed both grew slowly during the period. The
quadratic regression indicated an increasing growth at the end of the period.
Next I’ll start analyzing different scenarios for buying and
selling bitcoins. I’ll tweet @billlanke when I post again.
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