Aggregated price index
Aggregated price index with volume information
- Online Retail stocks up 0.8% on average while median return up 0.5% in a day
- Online Retail stocks up 3.0% on average while median return up 4.0% in a week
- Online Retail stocks up 11.6% on average while median return up 9.5% 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.
Click on + to show price series and click on ticker for stock detail page
* 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.
* 20 days Price Zscore = (Today price - 20 days SMA price) / 20 days volatility. 50 days Price Zscore = (Today price - 50 days SMA price) / 50 days volatility.
* 12-26 Days Percentage Price Oscillator = (12 days EMA price - 26 days EMA price) / 26 days EMA price * 100
- 1M winners are : Winners for past month are $LE 46.4%, $MYSZ 31.4%, $FLWS 22.1%, $IQ 21.2%, $JD 17.7%
- 1M losers are : Losers for past month are $BKNG -0.1%, $BABA -0.7%, $FTCH -2.2%, $CPRT -6.2%, $PETS -8.0%
- 1W winners are : Winners for past week are $NFLX 12.8%, $STMP 8.8%, $MYSZ 6.9%, $JD 6.4%, $BABA 6.4%
- 1W losers are : Losers for past week are $CPRT -2.3%, $BKNG -5.3%, $W -9.1%, $PETS -12.5%
Index correlation analysis
Correlation for the past month is 17.5%, for the past 3 months is 24.4%
In the past month for a 5 days rolling window, the highest corrrelation is 32.5%, the lowest correlation is 8.2%, the latest correlation is 17.6%
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 93.0% between IBUY and ONLN
The lowest correlation is -54.1% between BBY and MYSZ
As Netflix starts to generate cash, the company has a lot more flexibility. Sports, news, music, or gaming could be next.
The stock market hit new highs, as Netflix surged on subscriber gains, with Apple and other big techs rallying too. Tesla Model Y deliveries began in China.
Investors had high expectations heading into Netflix's (NASDAQ: NFLX) fourth-quarter earnings report this week. The news was even better on the financial front, which seems set to include gushing cash flow into the foreseeable future. Netflix ran past management's prior forecast that called for subscriber additions to land at 6 million.
(Bloomberg) -- After lagging behind the broader market for months, the world’s largest technology stocks suddenly perked up this week ahead of earnings. All it took was a reminder from Netflix Inc. that there’s still plenty of opportunity for growth.The five biggest technology companies posted their best week in nearly three months in a rally sparked on Tuesday by Netflix, which added two million more subscribers than Wall Street was expecting. The megacap gains were led by Alphabet Inc., Apple ...
Apple has said it wants to bulk up revenue from services — including Apple TV Plus, which is just over one year old. But new research suggests that the tech giant's entry into the so-called "streaming wars" is at a distinct disadvantage compared with rivals. In the fourth quarter, the majority of Apple TV Plus […]
Netflix reaped an estimated £940 million ($1.3 billion) from British subscribers in 2019 but the streaming giant paid just £3.2 million in U.K. corporation taxes that year.
Netflix (NFLX) could produce exceptional returns because of its solid growth attributes.
Netflix (NFLX) shares have started gaining and might continue moving higher in the near term, as indicated by solid earnings estimate revisions.
Lower spending may lead to higher margins in the short term, but how good an idea is that when the cost-cutting comes from a key revenue driver?
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