Posts

11) Republic Day 2020 Parade FEATURES: Colourful tableaux, daredevilry, navy might on display

India Republic Day -- The indian subcontinent Republic Day 2020 Attend, Flag Hosting HIGHLIGHTS: Perfect Minister Narendra Modi given his tributes to martyrs by laying a wreath at the National War Memorial service in the presence of Defense Minister Rajnath Singh, three service chiefs and Primary of Defence Staff Bipin Rawat. India Republic Time Parade 2020, Flag Hosting HIGHLIGHTS: India is honoring its 70th Republic Time Today. The celebration at Rajpath started with Perfect Minister Narendra Modi having to pay homage to the fallen troopers at the newly-built National Battle Memorial on the Republic Time for the first time instead of the Amar Jawan Jyoti beneath the India Gate arch. This was followed by Director Ram Nath Kovind unfurling the tricolour. The situation marks the day when India’s Constitution came into effect, along with the country became a republic. Heavylift helicopter Chinook as well as attack helicopter Apache, both recently inducted in the Native indian Air For
Post a Comment
Read more

Image Submission Services For Improved Online Presence and Traffic

Image or Infographic submission is perhaps one of the strongest tools to aid promote any websites in search engine result pages, creating high quality backlinks for your website and getting high-quality referral targeted traffic to your site. Image submissions are usually utilized for web 2.0 sites such as blogs, e-commerce sites and for increasing the visibility of a business image or video that clients and prospects can access through search engines. It has the ability to create backlinks from other relevant websites which may increase the authority of your site. However, it's crucial to ensure that you submit high-quality images because poor-quality images will get automatically deleted by the search engines. Here are some things you need to consider to make sure that your images get approved and placed in the result page. - Before doing any image or infographic submission, be sure to create a good blueprint first. You can create this blueprint through brainstorming, browsing t
Post a Comment
Read more

High-frequency trading

High-frequency trading ( HFT ) is a type of algorithmic financial trading characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools. While there is no single definition of HFT, among its key attributes are highly sophisticated algorithms, co-location, and very short-term investment horizons. HFT can be viewed as a primary form of algorithmic trading in finance. Specifically, it is the use of sophisticated technological tools and computer algorithms to rapidly trade securities. HFT uses proprietary trading strategies carried out by computers to move in and out of positions in seconds or fractions of a second. In 2017, Aldridge and Krawciw estimated that in 2016 HFT on average initiated 10–40% of trading volume in equities, and 10–15% of volume in foreign exchange and commodities. Intraday, however, proportion of HFT may vary from 0% to 100% of short-term trading volume. Previous estimates
Post a Comment
Read more

History

High-frequency trading has taken place at least since the 1930s, mostly in the form of specialists and pit traders buying and selling positions at the physical location of the exchange, with high-speed telegraph service to other exchanges. The rapid-fire computer-based HFT developed gradually since 1983 after NASDAQ introduced a purely electronic form of trading. At the turn of the 21st century, HFT trades had an execution time of several seconds, whereas by 2010 this had decreased to milli- and even microseconds. Until recently, high-frequency trading was a little-known topic outside the financial sector, with an article published by the New York Times in July 2009 being one of the first to bring the subject to the public's attention. On September 2, 2013, Italy became the world's first country to introduce a tax specifically targeted at HFT, charging a levy of 0.02% on equity transactions lasting less than 0.5 seconds. Market growth edit In the early 2000s, high-frequency tr
Post a Comment
Read more

Strategies

High-frequency trading is quantitative trading that is characterized by short portfolio holding periods. All portfolio-allocation decisions are made by computerized quantitative models. The success of high-frequency trading strategies is largely driven by their ability to simultaneously process large volumes of information, something ordinary human traders cannot do. Specific algorithms are closely guarded by their owners. Many practical algorithms are in fact quite simple arbitrages which could previously have been performed at lower frequency—competition tends to occur through who can execute them the fastest rather than who can create new breakthrough algorithms. The common types of high-frequency trading include several types of market-making, event arbitrage, statistical arbitrage, and latency arbitrage. Most high-frequency trading strategies are not fraudulent, but instead exploit minute deviations from market equilibrium. Market making edit According to SEC: A "market ma
Post a Comment
Read more

Effects

The effects of algorithmic and high-frequency trading are the subject of ongoing research. High frequency trading causes regulatory concerns as a contributor to market fragility. Regulators claim these practices contributed to volatility in the May 6, 2010 Flash Crash and find that risk controls are much less stringent for faster trades. Members of the financial industry generally claim high-frequency trading substantially improves market liquidity, narrows bid-offer spread, lowers volatility and makes trading and investing cheaper for other market participants. An academic study found that, for large-cap stocks and in quiescent markets during periods of "generally rising stock prices", high-frequency trading lowers the cost of trading and increases the informativeness of quotes;: 31 however, it found "no significant effects for smaller-cap stocks",: 3 and "it remains an open question whether algorithmic trading and algorithmic liquidity supply are equally be
Post a Comment
Read more

Granularity and accuracy

In 2015 the Paris-based regulator of the 28-nation European Union, the European Securities and Markets Authority, proposed time standards to span the EU, that would more accurately synchronize trading clocks "to within a nanosecond, or one-billionth of a second" to refine regulation of gateway-to-gateway latency time—"the speed at which trading venues acknowledge an order after receiving a trade request". Using these more detailed time-stamps, regulators would be better able to distinguish the order in which trade requests are received and executed, to identify market abuse and prevent potential manipulation of European securities markets by traders using advanced, powerful, fast computers and networks. The fastest technologies give traders an advantage over other "slower" investors as they can change prices of the securities they trade.
Post a Comment
Read more