Market Composite

Crypto Stocks$320.58

1.21%4:00PM 07/30/2021

The list of companies include RIOT-Riot Blockchain Inc, OSTK-Overstock.com Inc, UEPS-Net 1 UEPS Technologies Inc, SRAX-SRAX Inc, EBON-Ebang International Holdings Inc, MARA-Marathon Patent Group Inc, EQOS-Diginex Limited, BTBT-Bit Digital Inc, FTFT-Future FinTech Group Inc, MSTR-Microstrategy Inc.

Latest intraday update before market close @ 19:45:51 PM 07/30/2021

Summary :

Average return is up 1.2%

Median return is up 0.2%

7 out of 14 stocks are up (limited to those with intraday pricing feeds).

Top Movers : CAN 1.8%, UEPS 2.1%, MFH 2.5%, RIOT 3.0%, BTBT 11.8%,

Aggregated price index

Aggregated price index with volume information

Summary:

Crypto stocks up 1.2% on average while median return up 0.5% in a day
Crypto stocks up 12.1% on average while median return up 2.7% in a week
Crypto stocks down 14.7% on average while median return down 19.5% in a month
When average return is significantly different from median return, this implies an asymmetry - composite return is driven by some outliners.

Aggregated price index (close) is based on equal weighted constituencies returns. Average short volume and average total volumes are averaged across all volume data among constituencies.

Related Stocks

Click on + to show price series and click on ticker for stock detail page

Ticker	1 Day Return	1 Week Return	1 Month Return	PE Ratio	PE/G	P/B (mrq)	P/S (ttm)	Earning Growth	MarketCap	Short %	Held By Institutions %	RSI	Price Pattern	Days Since Channel Change	Channel Slope (daily rate %)	Half Channel Bandwidth	Distance to Channel MidPoint %

BTBT	13.1%	112.8%	31.6%				5.90		433.9M	3%	3%	61	/-	69	-0.9%	72.3%	64.9%
RIOT	3.3%	17.3%	-12.5%		3.96	7.36	93.87		2.8B	21%	23%	54	/\	85	-0.6%	31.6%	29.5%
UEPS	2.9%	2.6%	-8.3%	-3.08	-0.44	1.03	2.22		243.8M	1%	45%	50	\/\	85	-0.4%	8.4%	4.8%
SRAX	1.7%	0.7%	-21.9%		-1.21	3.61	8.42		98.8M	3%	14%	43	/	85	0.2%	13.1%	-16.4%
EBON	1.4%	2.8%	-28.2%				35.79		304.9M	10%	13%	40	/\	111	-0.6%	91.1%	-4.7%
CAN	0.7%	19.4%	-15.6%			2.44	1.99		1.1B		20%	49	-/\	85	-0.9%	82.4%	47.8%
MARA	0.5%	12.1%	-11.9%		0.4	4.20	222.70		2.8B	16%	25%	52	/-	85	-0.5%	21.5%	23.8%
EQOS	0.4%	0.4%	-18.8%				783.04		206.2M	2%	12%	44	/\	76	-0.5%	61.9%	-7.7%
FTFT	0.4%	-4.1%	-26.0%			4.87	1496.70		156.4M	6%	2%	37	/\	85	-0.7%	52.8%	4.3%
MSTR	0.2%	16.0%	-5.8%	-50.87	11.94	17.26	12.80		5.8B	31%	82%	55	-/\	85	-0.3%	22.1%	19.0%
XNET	0.0%	1.7%	-20.2%			1.10	1.72		242M		15%	40	\-/\	85	-0.6%	26.6%	2.1%
SOS	-1.2%	3.6%	-22.4%				12.96	687%	468.7M		4%	42	\/\	85	-0.6%	55.0%	-0.9%
MFH	-2.2%	-3.2%	-30.4%						36.2M		1%	33	/\	85	-0.4%	21.0%	-15.8%
OSTK	-4.3%	-15.7%	-24.5%	35.9	0.94	10.26	1.30		3B	10%	73%	28	/-	252	0.2%	21.2%	-18.7%

* P/E and MarketCap are refreshed daily using IEX Cloud service. P/B, P/S, PEG, growth, short%, HelbyInstitute are refreshed weekly using Yahoo feeds. For latest stock stats please visit Yahoo Finance.

* Price Patter: / is upward trend, \ is downward trend, - is sideway. Click on the ticker to go to stock page to see Bayesian Trend model plot of the time series.

* Channel and change points are derived from Bayesian Trend model, where the channel slope is the growth rate while change points are those the model partition the time series.

1M winners are : Winners for past month are $BTBT 31.6%
1M losers are : Losers for past month are $SOS -22.4%, $OSTK -24.5%, $FTFT -26.0%, $EBON -28.2%, $MFH -30.4%
1W winners are : Winners for past week are $BTBT 112.8%, $CAN 19.4%, $RIOT 17.3%, $MSTR 16.0%, $MARA 12.1%
1W losers are : Losers for past week are $MFH -3.2%, $FTFT -4.1%, $OSTK -15.7%

Pick two stocks to compare:

MARA

RIOT

Correlation Analysis

Index correlation analysis

Correlation for the past month is 54.6%, for the past 3 months is 41.9%

In the past month for a 5 days rolling window, the highest corrrelation is 74.0%, the lowest correlation is 16.0%, the latest correlation is 73.9%

When a correlation deviated from the normal level and goes lower or even negative, it indicates some of stocks have deviated from the normal direction of the group. The deviation could reverse if long term level of correlation was at a higher level. It creates trading opportunities and deserves study whether the deviation is idiosyncratic or systematic.

Among pairwise correlation, the highest correlation is 96.0% between MARA and RIOT

The lowest correlation is 5.7% between MSTR and UEPS