First: Select a set of cryptos for long-short term MA analyses. Note: at least 200 days of data are needed.
## # A tibble: 5 x 8
## id name symbol slug rank is_active first_historical_~ last_historical~
## <int> <chr> <chr> <chr> <int> <int> <date> <date>
## 1 1 Bitco~ BTC bitco~ 1 1 2013-04-28 2021-08-10
## 2 1027 Ether~ ETH ether~ 2 1 2015-08-07 2021-08-10
## 3 3890 Polyg~ MATIC polyg~ 19 1 2019-04-28 2021-08-10
## 4 6719 The G~ GRT the-g~ 35 1 2020-12-17 2021-08-10
## 5 6945 Amp AMP amp 48 1 2020-09-11 2021-08-10
When the 50 day MA crosses over the 200 day MA, there is an indication of a bear market. Conversely, when the 200 day MA croses over the 50 day MA, it is interpreted as a bear market forecast.
In these graphics I color the points acording to the relative position of 200 vs 50 MA.
## > Scraping historical crypto data
## > Processing historical crypto data
## > Scraping historical crypto data
## > Processing historical crypto data
## > Scraping historical crypto data
## > Processing historical crypto data
## > Scraping historical crypto data
## > Processing historical crypto data
## > Scraping historical crypto data
## > Processing historical crypto data
Second: Build candlestick graphics for the last 30 days and other recent market reports
Candlesticks allow to see recent trends. There are lots of ideas of how to interpret candlesticks to forecast short term bull/bear trends.
Volume and marketcap give an idea of daily trading and market value. Daily price trends are used to color volume and market cap.
High volume and market cap with strong prince changes solid trends. Small volume usually indicate quiet market and price changes should be taken with a grain of salt.
## # A tibble: 6 x 8
## id name symbol slug rank is_active first_historical_~ last_historical~
## <int> <chr> <chr> <chr> <int> <int> <date> <date>
## 1 1 Bitco~ BTC bitco~ 1 1 2013-04-28 2021-08-10
## 2 1027 Ether~ ETH ether~ 2 1 2015-08-07 2021-08-10
## 3 3890 Polyg~ MATIC polyg~ 19 1 2019-04-28 2021-08-10
## 4 6719 The G~ GRT the-g~ 35 1 2020-12-17 2021-08-10
## 5 6945 Amp AMP amp 48 1 2020-09-11 2021-08-10
## 6 10052 Gitco~ GTC gitco~ 300 1 2021-05-25 2021-08-10
## > Scraping historical crypto data
## > Processing historical crypto data
## # A tibble: 6 x 16
## timestamp slug id name symbol ref_cur open high low close
## <dttm> <chr> <int> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 2021-08-04 23:59:59 gitco~ 10052 Gitco~ GTC USD 7.39 7.97 7.23 7.83
## 2 2021-08-05 23:59:59 gitco~ 10052 Gitco~ GTC USD 7.82 8.00 7.32 7.84
## 3 2021-08-06 23:59:59 gitco~ 10052 Gitco~ GTC USD 7.83 9.01 7.52 8.77
## 4 2021-08-07 23:59:59 gitco~ 10052 Gitco~ GTC USD 8.81 9.54 8.39 9.12
## 5 2021-08-08 23:59:59 gitco~ 10052 Gitco~ GTC USD 9.14 9.47 8.39 8.49
## 6 2021-08-09 23:59:59 gitco~ 10052 Gitco~ GTC USD 8.49 9.13 8.06 8.83
## # ... with 6 more variables: volume <dbl>, market_cap <dbl>, time_open <dttm>,
## # time_close <dttm>, time_high <dttm>, time_low <dttm>
Fourth: Alt-coin report
Previous reports focus on crypt0:USD price trends, but relative values of crypto are also important.
In this case the value of altcoins is measured against BTC.
## # A tibble: 6 x 8
## id name symbol slug rank is_active first_historical_~ last_historical~
## <int> <chr> <chr> <chr> <int> <int> <date> <date>
## 1 1 Bitco~ BTC bitco~ 1 1 2013-04-28 2021-08-10
## 2 1027 Ether~ ETH ether~ 2 1 2015-08-07 2021-08-10
## 3 3890 Polyg~ MATIC polyg~ 19 1 2019-04-28 2021-08-10
## 4 6719 The G~ GRT the-g~ 35 1 2020-12-17 2021-08-10
## 5 6945 Amp AMP amp 48 1 2020-09-11 2021-08-10
## 6 10052 Gitco~ GTC gitco~ 300 1 2021-05-25 2021-08-10
## > Scraping historical crypto data
## > Processing historical crypto data
## # A tibble: 29 x 6
## timestamp symbol open high low close
## <dttm> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 2021-07-12 23:59:59 BTC 34254. 34592. 32697. 33156.
## 2 2021-07-13 23:59:59 BTC 33125. 33327. 32261. 32702.
## 3 2021-07-14 23:59:59 BTC 32724. 33061. 31639. 32822.
## 4 2021-07-15 23:59:59 BTC 32828. 33160. 31176. 31781.
## 5 2021-07-16 23:59:59 BTC 31842. 32218. 31101. 31422.
## 6 2021-07-17 23:59:59 BTC 31397. 31936. 31224. 31533.
## 7 2021-07-18 23:59:59 BTC 31534. 32399. 31215. 31797.
## 8 2021-07-19 23:59:59 BTC 31800. 31886. 30564. 30818.
## 9 2021-07-20 23:59:59 BTC 30838. 31006. 29361. 29807.
## 10 2021-07-21 23:59:59 BTC 29796. 32752. 29526. 32111.
## # ... with 19 more rows
## # A tibble: 145 x 6
## timestamp symbol open high low close
## <dttm> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 2021-07-12 23:59:59 ETH 2141. 2168. 2011. 2037.
## 2 2021-07-13 23:59:59 ETH 2034. 2041. 1923. 1940.
## 3 2021-07-14 23:59:59 ETH 1941. 2015. 1869. 1994.
## 4 2021-07-15 23:59:59 ETH 1995. 2038. 1883. 1911.
## 5 2021-07-16 23:59:59 ETH 1917. 1960. 1854. 1880.
## 6 2021-07-17 23:59:59 ETH 1877. 1918. 1856. 1899.
## 7 2021-07-18 23:59:59 ETH 1900. 1988. 1883. 1896.
## 8 2021-07-19 23:59:59 ETH 1893. 1916. 1808. 1817.
## 9 2021-07-20 23:59:59 ETH 1819. 1837. 1722. 1788.
## 10 2021-07-21 23:59:59 ETH 1786. 2026. 1759. 1991.
## # ... with 135 more rows
## # A tibble: 5 x 2
## symbol.x cr
## <chr> <dbl>
## 1 AMP 0.802
## 2 ETH 0.949
## 3 GRT 0.683
## 4 GTC 0.917
## 5 MATIC 0.911
## # A tibble: 5 x 5
## symbol.x min max mn cv
## <chr> <dbl> <dbl> <dbl> <dbl>
## 1 AMP 470874. 776136. 654045. 0.107
## 2 ETH 14.1 17.4 16.0 0.0568
## 3 GRT 46694. 71623. 60371. 0.0989
## 4 GTC 4687. 6448. 5503. 0.0629
## 5 MATIC 32982. 47047. 37925. 0.0553