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Algorithm trading is also called black-box trading, or automated trading or Algo-trading uses computer programs that follow algorithms or set of instructions to trade. This trade generates profits at a frequency and speed that is not possible for a human trader. The algorithm behind trading is complicated to understand and the students who face difficulty in writing assignment on Algorithm topic look for professional assistance. We at BookMyEssay have hired experienced experts who can provide you with the best Algorithm Trading assignment help along with proper explanations.

What is Algorithm Trading?

Algorithm trading is a kind of trading that utilizes powerful computers to perform complicated mathematical formulas. Algorithms are the directors to solve problems. An example is an algebraic equation when combined with the algebra rules. Using the two elements, computers can find out answers to the equation. Buying essay paper writing help on Algorithmic trading from us can assist you to secure good academic grades.

Algorithm trading uses complex formulas and combines it with mathematical models to make buy or sell decisions of financial securities. Algorithmic traders use high-frequency trading that makes them earn thousands of trades in a second. Algorithmic trading is used in various applications including arbitrage, order execution, and trend trading. If you are seeking to pay someone to do homework on Algorithmic development, contact us to do it.


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Advantages of Algorithmic Trading

Some of the advantages are mentioned in Algorithmic Trading assignment help as follows:

  • Trades are performed at the best prices
  • Trade order is placed accurately and instantly. There is a high possibility to execute at the desired level.
  • Trades are timed instantly and correctly to avoid major price changes.
  • Minimized transaction costs
  • Minimized risk to commit manual errors while placing trades
  • Simultaneous automated checks
  • It can be tested back using real-time and historical data to notice whether there is any viable trading strategy.
  • Reduced chances of errors by human traders due to psychological and emotional factors.

Most algorithm trading done today is HFT or high-frequency trading that tries to capitalize on a huge number of orders placed at quick speed across multiple decision and multiple markets based on prior programmed instruction. When you need professional research paper topics guidance on Algorithmic trading, BookMyEssay is there for you to provide assistance.

Applications of Algorithm Trading

Algorithm trading is used in multiple kinds of investment activities and trading such as the following:

  • Mid and long-term investors such as mutual funds, pension funds, and insurance companies use this trading to buy stocks in huge quantities when investors do not wish to influence the stock prices with large-volume and discreet investments.
  • Short-term traders such as market makers, arbitrageurs, and speculators benefit from automated trade execution. Additionally, algorithm trading helps to create adequate liquidity for sellers in a market.
  • Systematic traders such as hedge funds, trend followers, and pair traders find it efficient to program the trading rules and allow the program to trade automatically.

Algorithm trading is a systematic approach to trade actively compared to methods that are based on a trader’s instinct or intuition.

Technical Requirements

Implementing an algorithm using computer programs is a final part of an algorithm trading and it is accompanied by backtesting (trying out an algorithm based on the previous stock-market performances to see whether it has been profitable. The challenge is changing the strategy to an integrated computerized procedure, which can access a trading account to place orders.

The technical requirements of an algorithm trading are discussed in our help for assignment writing on Algorithmic Trading as follows:

  • Knowledge of computer programming to program the trading strategy, pre-existing trading software, and hired programmers.
  • Network connectivity and trading platforms accessibility for placing orders.
  • Accessing market data deed that is monitored by an algorithm to place orders.
  • The infrastructure and ability to backtest before the system goes live.
  • Historical data available for backtesting that depends on the complicated rules.


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