Financial “Trade wars are good and easy to win” says Trump |
- “Trade wars are good and easy to win” says Trump
- Why is machine learning in finance so hard?
- What's the difference between Finance Machine Learning and Quantitative Finance using R / Python?
- $ESRX Earnings Beats Estimates on February 27
| “Trade wars are good and easy to win” says Trump Posted: 02 Mar 2018 05:48 AM PST
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| Why is machine learning in finance so hard? Posted: 01 Mar 2018 10:38 AM PST
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| What's the difference between Finance Machine Learning and Quantitative Finance using R / Python? Posted: 02 Mar 2018 07:30 AM PST I'm getting hung up on what the actual differences are between the two. Is it predictive for analytical? Or is there a predictive piece in the quantitative finance piece with the use of R / Python? [link] [comments]  | ||
| $ESRX Earnings Beats Estimates on February 27 Posted: 02 Mar 2018 06:35 AM PST Express Scripts (ESRX) just reported earnings on February 27, 2018, after the market closed. Earnings Per Share (EPS) was reported at $2.16, after analysts had expected $2.09 per share. As a result, ESRX opened up +1.7%, but dropped later in the day and closed down -4.1% at 75.45. Since earnings was reported, the stock has traded in a range from 73.42 to 80.50. Price Volatility Against Expectations Ahead of earnings, option traders were expecting a ± 4.2% move for this date, so the earnings move of -4.1% was right in line with expectation. ESRX has only experienced 1 larger-than-expected earnings move in the last 12 quarters. Earnings Price Patterns The MarketChameleon earnings price pattern has detected one notable historical trend for after earnings. 1 Day After Earnings:For 5 of the last 6 quarters (83%), ESRX stock price has gone down on the day following earnings. It has had an average loss of -1.2% during that span. Earnings Option Strategies MarketChameleon's option strategy analysis shows that selling out-of-the-money calls one day after earnings and buying them back one week after earnings had 83% winning occurrences, for an average gain of +47.4%. Additionally, selling at-the-money straddles resulted in 58% winning occurrences, for an average return of +10.0%. [link] [comments]  |
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