Tuesday, August 16, 2016

Weak oil prices pull Wall Street away from record levels

Wall Street

U.S. Stock Indexes Move Back – Drop in Oil Prices

Stock indexes of U.S. moved back from its record levels due to drop in oil prices which overstretched energy stocks. The prices of oil dropped by 1.6% in cutting trading after the reports of the U.S. government of a surprise crude stockpile build. The energy index of S&P 500 fell by 0.9% and Exxon Mobil – XOM.N 1.5% drop was the top strain on the S&P 500 and the Dow. Since late June, a rally has left the S&P to almost 7% in 2016 as prospects of constant low interest rates motivated investors in buying into U.S. equities. The standard index this month had hit four record intraday highs.

 Regional investment director for The Private Client Reserve of U.S. Bank, Tim Dreiling had stated that once they had seen the new inventories, it certainly moved energy far lower dragging almost everything down.He further added that to grind higher, earnings improvements needed to be seen and that would come from economic improvement. The industrial average of Dow Jones – DJI had declined by 0.2% to finish at 18,495.66 points while the S&P 500 .SPX lost 0.29% to 2,175.49 points. The NASDAQ Composite .IXIC had dropped by 0.4% to 5,204.59.

Trading Volume – Lack of Market-Moving Information

Out of the 10 major S&P 500 index, six were lesser. Due tolack of market-moving information in a traditionally low-volume season, trading volume had been low. Around 5.92 billion shares had changed hands on the U.S. exchanges when compared to the 6.45 billion regular averages for the last 20 meetings. The shares of Walt Disney – DIS.N had ascended by 1.23% after the company recently had informedthe results which beat estimates stating that it is purchasing a 33% stake in video-streaming firm BAMTech. The stock offered the biggest increase to the S&P 500 and the Dow.

SunPower shares had fallen by 30% after the company had fluctuated to a second quarter loss, lowering its full year revenue prediction, stating that it would restructure its business. Perrigo dropped 11% to $85.06 after the company had reported a lower than expected earnings and dropped its remunerations forecast. JD.com soared to 8.6% to $24.28 after the company had stated the revenue within its forecast. The stock had given the biggest increase to NASDAQ. Weakening matters outstripped progressing ones on the NYSE by 1,610 to 1,259 and on NASDAQ; the issues dropped by 1,798 and advanced by 924.

Low Volume Could Skew Market in Any Direction

The S&P 500 index portrayed 18 new 52-week highs together with two new lows though the NASDAQ verified 61 new highs and 28 new lows. Market strategist at Prudential Financial, Quincy Krosby had stated that low volume was fairly standard at that time of the year and August seems to be a very irregular month and if one has low volumes, it could skew the market in any direction and that is what we have today. The trading volumes had been near year low since Monday as the second-quarter earnings seasons tends to wind down. Dollar index had slipped for the second straight day as weak U.S. productivity data on Tuesday dimming a bit the prospects of economic growth which would probably discourage the Federal Reserve from increasing the interest rates.

Wednesday, August 3, 2016

5 Technologies That Can Change Stock Markets Forever

Improved Insight on Risk Undertaken

Disturbance in digital system has been making the financial markets more apparent, reachable and efficient. Besides this it also tends to help the regulators in getting an improved insight on the risks which the applicants may seem to undertake. The following technologies could transform the financial markets in the forthcoming days:

Artificial intelligence and natural language processing 

Several of the financial companies are adopting algorithms in doing the tasks which humans have been performing for years. Mechanism learning systems have been enhanced considerably and with expanding processor potentials at lower cost, these systems are made available for larger usage. The techniques for artificial intelligence enable the system to learn from user connections as well as patterns without the need of being openly programmed for the same.

Machine learning together with other artificial intelligence technologies, in the past few years, has provided us with self-driving cars, real-world speech recognition, chess champions as well as more related as well as realistic web-searches. With regards to financial markets, we have software analysing voice patterns of recorded calls at investment banks, brokerages and on the client side too which could instantly distinguish irregularities and frauds, It can also look at keywords, decode conversational encryption of information and achieve difficult searches on the recordings.

Robo Advisers 

From the present situation, there could be probabilities that we would be seeing the last few Wolves of Wall Street and Dalal Street and moving ahead we may have only robots of Wall Street and Dalal Street. Though the systems hasprogressed in grasping the monetary goals, risk profiles together with the other complex details of investment to come up with personalised investment portfolio, it could alter funds, book profits or square off position depending on self-learning processes. The platform could be either for web-based and/or smartphone based, thus enabling easy access or adapt.This is said to be self-operated without the need of the user talking to a live person. Compared to a human advisor who tends to charge a portfolio management fee, the services here are rendered at no recurring expense.

Quantum `sealed envelope’

Outrages centred on information theft have often been a nightmare for performers in financial markets. Till now, hackers have somehow achieved to stay ahead of security programs as well as passwords though it could change very soon. A team of researchers inGeneva, Singapore, Cambridge and Waterloo and Ontario had utilised the breakthroughspeculative work co-authored by Dr Adrian Kent from University of Cambridge’s Department of Applied Mathematics and Theoretical Physics in providing `unconditionally guaranteed’ security as well as purity of message transferred from any two points on earth. Earlier trials using these digital `sealed envelopes’ is said to be successful and if all goes well, the monetary markets would be entirelysecured against any threat of statistics invasion.

Bitcoin and Blockchain technologies 

The distributed ledger, Blockchain technology after the virtual currency Bitcoin, tends to record the financial transaction of any digital interaction in secured, transparent, traceable and in an efficient manner. So it is appropriate in providing a universal virtual currency as well as for digital accounting and auditing financial transaction of any kind. The possibility of Blockchain technology is understood from the fact that 30 of the largest banks in the world had recently formed a global consortium to research, design and build Blockchain solutions further. Besides this, the Reserve Bank of India – RBI that had issued a cautionary note in 2013, against Bitcoin had changed its stance. The Indian central bank is now of the belief that the Blockchain technology could be helpful in the prevention of counterfeiting currency as well as financial transactions.

Big data and analytics 

Financial markets tend to generate enormous amount of data each second. Storing and analysing these details on real time basis could be critical. With a combination of private as well as public cloud tends to resolve the issue of storage as well as real-time access to this multitude of data at reasonable charges. Big data analytics tend to make it likely to highlight correlations which seem incredible for humans to locate. For instance, envisage a situation where 90% of orders that are positioned on NSE and BSE through high-frequency algorithmic dealing platforms tend to abruptly get cancelled within a span of less than 30 seconds.

 A human may never have known such trends with so much accuracy; RBI had highlighted this trend last year and alerted the market regarding it. Such kind of analysis could never be done without leveraging technology for big data scrutiny. There could also be software which could analyse thousands of social media feeds regarding the sentiments and news of a company and could try to forecast future as well as probable sentiments regarding the company. These visions could change the way institutional as well as retail investor trade in the market. Though some of these technologies could be in its initial stage of development and may need substantial enhancement together with market interest, the base has been set for digital alteration.