Algorithmic Trading: Overview, Examples, Pros & Cons (2024)

Algorithmic Trading: Overview, Examples, Pros & Cons (1)

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Written by

  • Charlotte Gracia
  • on October 7, 2021
  • Last updated on June 23, 2023

Table of Contents

This article is beneficial for the beginners of algorithmic traders in which we discussed all the algorithmic trading strategies in the market. If you invest the money through algorithmic trading, you have to check the algorithm from time to time to secure the money.

What is algorithmic trading?

The algorithmic trading in which the trader has to participate in the financial markets before pre-set rules for entering and exiting trades. One of the significant benefits of algorithmic trading is saving your time to constantly watch the needs.

What are the advantages of algorithmic trading?

These are the advantages of algorithmic trading is:

  • Low transaction costs: The transaction cost of Algorithmic trading is low because of the lack of human intervention, and one of the major reasons is that multiple trades are processed at the same time.
  • Minimize the market impact: Big traders change the market price by buying and selling large quantities of securities in the market. But on the other side, algorithmic trading helps to identify how much time is required to complete transactions in divided parts. For example: If an investor wants to purchase a 1 million share of Tesla. The trader might buy 2000 shares every 10 minutes; then, it will be accessible to traders with algorithmic trading without human involvement.
  • Advanced decision making: Algorithmic trading helps traders make a decision in advance because the trader has to predetermine the set of rules and price of futures trades.
  • Accuracy: When the time to set the price for the future trade is restricted, human involvement is restricted in trading, the trader only checks the algorithm from time to time to find any mistake and analyze the technical indicators. The trader knows very well that the computer programs do not make such mistakes in algorithmic trading.
  • Multiple trades at the same time: The trader can only set the price and the future dates of the transactions so that the trader can set the multiple trades at the time, and it helps to diversify the portfolio in the market. Because without the help of algorithmic trading, it is difficult to manage by the traders.
  • Minimization of human emotions: One of the major advantages of algorithmic trading is that once you set the price and date for the trading, you couldn’t question and rethink the trade.

What are the disadvantages of algorithmic trading?

  • Mechanical Failure: The trading is completely dependent on the software, platform, and internet connectivity. If your trading system lost the internet connection and your order was not sent to the market. Then you couldn’t invest their money in trading. On the other hand, if you invested their money through automated trading, then you have to invest a small amount of money.
  • Depend on technology: The automated trader is entirely dependent on the technology because in which human interference is restricted after setting the price of the securities. If any uncertain condition is reached on the market, the order will be sent for execution.
  • Requirement of resources: The cost of transaction is low, but on the other hand, this trading requires a high level of technology and a strong internet connection for trading.
  • Inability to understand the market: The system cannot understand the market situations like human minds. So, before investing the money in automated trading, the trader has to research and take a great decision against it.
  • Loss of human control: This is completely automated trading in which the involvement of humans is only when setting the price of the assets and the future date of transactions.
  • Not applicable on all strategies: This type of trading is basically for excellent strategies; it does not apply to all the strategies because all the strategies cannot be converted into algorithmic trading.

What are the trading strategies of algorithmic trading?

These are the algorithmic trading strategies in the market:

  • Trend following strategy: This is one of the most common trading strategies for algorithmic trading. In which the trends are using the moving average, price level movement, breakout, etc., in this strategy, the trader doesn’t require any prediction of price.
  • Mathematical follow based strategy: Some of the mathematics models are allowed, such as delta-neutral and the combination of options and underlying securities.
  • Mean Reversion: It is a strategy which depends on the high or low price of an asset. The main motive of the strategy is to identify the concept of the price range and thereby implement the algorithm.
  • Volume weighted average price (VWAP): This type of the strategy uses a large order and release of chunks of order (uses the historical volume profile for single stock). It executes the order close to the volume-weighted average price (VWAP).
  • Time- Weighted Average Price (TWAP): This type of the strategy uses a large order and release of chunks of order (uses the divided time slots between a start and an end time). It executes the order close to the average price between the start and end times.
  • Percentage of Volume (POV): This type of strategy in which the algorithms send partial orders according to the defined participation and ratio, and volume.

Why use algorithmic trading by the investors?

  • Neglect human error: The trader letting emotions gain profit and cutting the losses.
  • Maintenance is low: The trader can set the algorithm and allow them to trade according to your schedule 24 hours a day, five days a week.
  • Backtest: This strategy helps to select the best assets to buy and sell in the future (because it shows all the data of the assets)
  • Vast opportunity: The trader can choose the algorithm according to the strategy and maximize the opportunities in the underlying market.
  • Supplement the existing strategy: The algorithm helps manage the risk of losing money because it implements the stop and limit on behalf of the traders.

What is automated trading?

Automated trading is the same as algorithmic trading, in which the trader also sets the currency’s price to buy in the future. Then, the software automatically purchases the currency on behalf of the trader. Most of the big traders use this trading to invest their money in the market because it reduces the cost of the transactions.

What is the best trading software for algorithmic trading?

These are the software of algorithmic trading is:

  • MetaTrader 4

It is one of the popular trading platforms in the global market. In this platform, the trader can customize the indicators and tools for trading. MetaTrader 4 is a special application for the trading platforms; it doesn’t require any special knowledge and programming skills; it only needs knowledge of the market for trading.

These are the features of the MetaTrader 4:

  • It is one of the wide selections of trading applications.
  • The trader has the option of 1700 trading robots, 2100+ technical indicators, which is divided based on the traders.
  • In this platform, the trader has a wide range of payment methods such as debit card, credit cards and many more. ‘
  • It is entirely a secure platform for traders.
  • It is the demo account for the beginners in the market to test the trading strategy and select the best one for trading.
  • The platform also provides the paid indicators and tools for trading.

Which is the best broker for automated trading?

  • ROinvesting

ROinvesting is the old broker that is regulated by the Cyprus Securities and Exchange Commission (CySEC) providing services since 2015, and it is the representative name of Royal Forex Ltd. The brokerage giants offer 350+CFDs assets, including forex, stocks, crypto, commodity and metals.

The broker uses the MetaTrader 4 platform for trading. The broker also offers commission-free trading to all the account holders. In addition, the broker provides educational material to the traders such as articles, tutorials, VOD, ebooks and courses.

  • HFTrading

It is the brand name of CTRL Investments Limited, and it was founded in 2019. HFTrading is regulated and approved by the New Zealand Financial Markets Authority (FMA) and the Australian Securities and Investments Commission (ASIC). The broker offers 350+ CFDs instruments on a variety of assets like forex, stocks, crypto, commodity and metals.

The broker uses the MetaTrader 4 platform for desktops, mobile and web trading. The head office of the HFTrading is located at Level 13, 1 Albert Street, Auckland 1010, New Zealand.

The Bottom Line

This is the complete article on algorithmic trading, and we discussed all the aspects of algorithmic trading. Lastly, we say 70-80% of the investors use this trading because it is helpful to invest on multiple assets simultaneously. On the other side, the computer software that can invest their money in trading if anything happened and lost the connection will be the loss for the traders.

Is algorithmic trading legal?

Yes, algorithmic trading is legal in the market, but some traders have objections regarding how they impact the market. There are no set of rules and regulations for the retail traders for the use of algorithmic trading.

What percentage of the market is algorithmic trading?

In the US, 70 – 80% of the traders (stock market and all the financial markets) use algorithmic trading in the market to generate profit.

Who uses algorithmic trading?

Institutional investors and big brokers generally use this trading to cut down the value of the transaction cost in the market. According to the experts in the markets, this trading is beneficial for the large traders that comprise the 10% of overall trading volume.

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Algorithmic Trading: Overview, Examples, Pros & Cons (2024)

FAQs

Algorithmic Trading: Overview, Examples, Pros & Cons? ›

For sophisticated traders, algorithmic trading offers powerful advantages in speed, efficiency, and emotionless discipline. However, algorithms lack human insight and remain prone to hidden errors and overoptimization.

What are the pros and cons of algorithm trading? ›

For sophisticated traders, algorithmic trading offers powerful advantages in speed, efficiency, and emotionless discipline. However, algorithms lack human insight and remain prone to hidden errors and overoptimization.

What is algo trading overview? ›

Algorithmic trading attempts to strip emotions out of trades, ensures the most efficient execution of a trade, places orders instantaneously and may lower trading fees. Common trading strategies include trend-following strategies, arbitrage opportunities, and index fund rebalancing.

What is an example of algorithmic trading? ›

For example, an investor wanting to buy one million shares in Apple might buy the shares in batches of 1,000 shares. The investor might buy 1,000 shares every five minutes for an hour and then evaluate the impact of the trade on the market price of Apple stocks.

What is the conclusion of algorithmic trading? ›

Conclusion. Algorithmic trading has provided the industry with many benefits. These include efficiency, lower transaction costs, and better portfolio performance.

What are some of the pros and cons of algorithms? ›

A computer program can be viewed as an elaborate algorithm”.
  • Advantages of Algorithms: It is a step-wise representation of a solution to a given problem, which makes it easy to understand. ...
  • Disdvantages of Algorithms: Alogorithms is Time consuming. ...
  • Characteristics of Algorithms:
Aug 23, 2018

What are the problems with algo trading? ›

  • System Failure: Technical glitches can cause losses.
  • Over-optimization: Can lead to unrealistic results.
  • Potential liquidity issues.
  • Market Manipulation: May be used for nefarious purposes.
  • Complacency: Not adapting algorithmic system to market and regulatory changes.
Mar 11, 2024

What is the most popular algo trading strategy? ›

  1. Trend Following. Trend following, often serving as a navigational tool for many algorithmic traders, stands as a strategy as enduring as the market itself. ...
  2. Volatility. ...
  3. Quote stuffing. ...
  4. Trading Range. ...
  5. Inter-market spreading. ...
  6. Black swan events. ...
  7. Index Fund Rebalancing. ...
  8. Mean Reversion.
Feb 24, 2024

Is algo trading really profitable? ›

Algo trading is not only profitable, but it also increases your odds of becoming a profitable trader., Algo trading is ideal for someone who wants to trade with their full-time job. While they can develop trading strategies in their extra time and which are executed by the system when they are at their job.

How beneficial is algo trading? ›

Pros of Algo-Trading

A human trading with their motor organs will never be able to trade at the speed of the algo software. Therefore, algorithmic traders are able to capitalise on even the tiniest fluctuations in the price of securities. At the same time, algorithms can even analyse a chart within a split second.

Who is the best Algo trader ever? ›

He is none other than Jim Simons. Even back in the 1980's when computers were not much popular, he was able to develop his own algorithms that can make tremendous returns.

How successful is algorithmic trading? ›

Globally, 70-80 percent of market volumes come from algo trading and in India, algo trading has a 50 percent share of the entire Indian financial market (including stock, commodity and currency market).

Which algorithm is best for trading? ›

Top Five Algo Trading Strategies of 2024
  1. Trends and Momentum Following Strategy. This is one of the most common and best algo strategy for intraday trading. ...
  2. Arbitrage Trading Strategy. ...
  3. Mean Reversion Strategy. ...
  4. Weighted Average Price Strategy. ...
  5. Statistical Arbitrage Strategy.
Jan 16, 2024

What is algorithmic trading short note? ›

The term algorithmic trading is often used synonymously with automated trading system. These encompass a variety of trading strategies, some of which are based on formulas and results from mathematical finance, and often rely on specialized software.

What is the best way to define algorithmic trading? ›

Algo trading is a trading strategy that involves using coded programs to identify and execute large trades in the market. It operates automatically based on the code that has been created. The code can be based on price, volume, timing or other mathematical and quantitative formulae.

What is the logic for algo trading? ›

Essentially, algo trading involves using logic that is simulated on a computer to execute trade. Let us try to understand this through an example. Trader A buys a particular share every time it goes above a certain level – let us say above the x-day moving average.

Is it worth learning algorithmic trading? ›

Nevertheless, algorithmic trading helps you carry out multiple trade orders simultaneously and also the algorithm can enter and exit the market according to your conditions at a great speed which increases the probability of better returns. The speed at which algorithms can trade can not be matched by any human.

Is algorithmic trading really profitable? ›

Algo trading is not only profitable, but it also increases your odds of becoming a profitable trader., Algo trading is ideal for someone who wants to trade with their full-time job. While they can develop trading strategies in their extra time and which are executed by the system when they are at their job.

What are the negatives or harmful effects of algorithms? ›

Algorithms have the capability to shape individuals' decisions without them even knowing it, giving those who have control of the algorithms an unfair position of power. “The potential for good is huge, but the potential for misuse and abuse – intentional, and inadvertent – may be greater.”

How safe is algorithmic trading? ›

Is algo trading legal in India? Yes, algo trading is safe in India. The Securities and Exchange Board of India (SEBI) has regulated algo trading since 2008. Algo traders in India must comply with SEBI's rules and regulations, which are designed to protect investors and ensure the integrity of the markets.

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