AMD Stock Forecast: Keeping Up With Intel and Nvidia

On October 3, AMD opened the trading day with a large 10% drop, however, the stock recovered over the course of the day to finish with a much less concerning 3% loss. However, following AMD phenomenal year in which it has more than doubled in value, this loss was surprising. So what prompted the drop?



The chip market is very profitable and, therefore, extremely competitive industry. In the past, Intel has held a monopoly in the personal computer chip market, however, AMD has been strengthening its position. In September, reports came out indicating that Intel would not be able to meet the demand for its 14 nanometer (nm) CPUs. This was extremely problematic for Intel as the holiday season is approaching and orders were only expected to increase. The manufacturing struggles caused original equipment manufacturers to lower their shipment goals for the years and send Intel stock plummeting while AMD soared on this news since many thought the smaller company could capitalize on this and increase their market share. However, on October 3, Intel allayed worries and announced it would be able to hit its targets, negating the gains AMD originally made on Intel's supply concerns. However, AMD is still solidifying its position in the market and continuing to compete with the giants like intel and Nvidia.

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I Know First Forecasts Biggest Drop in Two Years

The stock market has been thriving recently, however, it appears a change in momentum is looming over the horizon. The S&P 500-stock index fell 3.3 percent, registering its fifth consecutive daily decline. This is the longest string of down days for the S&P 500, the market’s benchmark, since November 2016. Similarly, the Dow tumbled 3.15%, or 831.83 points. This is clearly not an isolated phenomenon too considering many Asian markets are performing even worse.



So why does it seem that all these markets are crashing? Some are quick to point fingers at the US following trade war talks and tariffs affect performance of various rocks. However, in reality there has long been a mounting pressure on the stock market with it reaching record highs. That being said the market does follow a natural cycle of ups and downs seeing as recently the market witnessed record highs it was only expected that a drop was going to occur. The I Know First algorithm correctly predicted this fall in its forecasts for October 9, 2018.

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How Biotech Freed Itself From FDA Shackles: How Trevena Doubled Trevena's growth is dependent on its pipeline products such at OLINVO, Trevena’s flagship pipeline drug that aims to replace conventional morphine based intravenous pain relief without adverse side effects such as respiratory depression, sedation, nausea, and vomiting. The FDA granted OLINVO Breakthrough Therapy status back in 2016. Whilst this of course is not a guarantee of approval in itself, if sufficient interest can be demonstrated, as was the case for OLINVO, an expedited path will be granted which further increases the probability of eventual approval. Trevena also has another two pipeline drugs: TRV250 and TRV734 for migraines and moderate to severe pain respectively, both with an improved side effect profile than traditional pain reliefs currently on the market. As the TRV250 and TRV734 clinical trials progress market confidence has recently increased.



Moreover, The FDA’s new commissioner, Dr. Scott Gottlieb, has extensively argued that the agency is in need of regulatory reform to get critical medical products to patients more quickly and efficiently. The policy changes he has implemented aims to offset safety concerns with improved regulations. This highlights the reduced significance approval has on pipeline drugs as under this new policy FDA approval is less likely to be unnecessarily held up. Trevena will see major increases in revenue once its pipeline drugs are approved and enter the market.

Read more. I Know First Live Forecast Evaluation Report: Indian Stock Market We continue instilling confidence in our subscribers and newsletter readers through the consistent evaluation of our stock market packages. Our most recent of these reports is on the Indian Stock Market and the performance of I Know First's algorithmic stock picks in comparison to the benchmark, the Nifty 200 Index. Our analysis covers time period from January 3, 2018 to September 28, 2018.



Our stock picking methods are detailed in the article, but these methods hone in on stocks with high predictability indicators in addition to high signals. Not only do I Know first selected stocks consistently outperform the benchmark by up to over 250%, but the average returns per time horizon were also significantly different with I Know First stocks making a profit while the benchmark dropped. Therefore, an investor who wants to critically improve the structure of his investments by adding Indian stocks to his portfolio can do so by simultaneously utilizing the I Know First predictability and signal indicators as criteria for picking stocks.



This study is the most updated, but the previous study conducted for the period from January 3, 2018 to August 24, 2018 is available here. You can also find more live forecast evaluations for all of our stock market packages here.

Read more. Bayesian Inference: From the World Cup To The Financial Market



Bayes’ theorem and Bayesian inference has long been an interesting topic for all of the mathematician and data scientist. It seems to be a very difficult topic and difficult to apply in real world. However, this article will walk you through basic concepts of Bayesian inference and how it can be applied in both soccer and financial world.



Bayes’ theorem is a formula that describes a probability of an event that is updated by the probability of given conditions. On the same hand, Bayesian Inference is the process to generate the posterior probability distribution from the prior probability distribution using Bayes’ theorem. In real world, the probability of a prior event will not be described by a single point. Instead, it will be a probability distribution. For instance, the probability that the temperature is less than 25°C (77°F) is also normal distributed at 70% and the standard deviation of 5%. Supposed that we wake up a day and know that the temperature is less than 25°C, what is the chance of rain today? The Bayesian inference will help us to answer this question by generating the posterior probability distribution.



There is a lot of application of Bayesian inference in real world. Since the World Cup is happening in Russia, it’s a good time to see how Bayesian inference can be used to predict player’s performance. 4 years ago, in World Cup 2014, James Rodriguez, a Colombian player won the golden boot for the best goal scorer of the tournament. He scored 6 goals out of 17 shoots, with the rate of 35.3%. This rate is sensational if we look at the conversion rate of Cristiano Ronaldo, and Lionel Messi. Both of them have won 5 Ballon D’or, the award for the best soccer of the year,, but their conversion rate have never been more than 25%. Is there any way to predict the future performance of James?

Read More Bayes’ theorem and Bayesian inference has long been an interesting topic for all of the mathematician and data scientist. It seems to be a very difficult topic and difficult to apply in real world. However, this article will walk you through basic concepts of Bayesian inference and how it can be applied in both soccer and financial world.Bayes’ theorem is a formula that describes a probability of an event that is updated by the probability of given conditions. On the same hand, Bayesian Inference is the process to generate the posterior probability distribution from the prior probability distribution using Bayes’ theorem. In real world, the probability of a prior event will not be described by a single point. Instead, it will be a probability distribution. For instance, the probability that the temperature is less than 25°C (77°F) is also normal distributed at 70% and the standard deviation of 5%. Supposed that we wake up a day and know that the temperature is less than 25°C, what is the chance of rain today? The Bayesian inference will help us to answer this question by generating the posterior probability distribution.There is a lot of application of Bayesian inference in real world. Since the World Cup is happening in Russia, it’s a good time to see how Bayesian inference can be used to predict player’s performance. 4 years ago, in World Cup 2014, James Rodriguez, a Colombian player won the golden boot for the best goal scorer of the tournament. He scored 6 goals out of 17 shoots, with the rate of 35.3%. This rate is sensational if we look at the conversion rate of Cristiano Ronaldo, and Lionel Messi. Both of them have won 5 Ballon D’or, the award for the best soccer of the year,, but their conversion rate have never been more than 25%. Is there any way to predict the future performance of James?

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