What Is Algorithmic Trading: A Detailed Guide 2022

What is algorithmic trading and its common trading strategies

Algorithmic trading is well within your reach in 2022. It is a viable, profitable system of strategies to implement. Algorithms are at work when you unlock your phone and access any application. Algorithms are the reason behind what you do, what you see, and how the program is tailored to your preferences.

Algorithms aren’t new to the Indian financial industry; they’re utilized in the virtual transaction system to assure trade transparency, a good user experience, and the avoidance of lags and malfunctions.

However, depositories and stockbrokers are not the only ones who use algorithmic. While trading, investors actively employ algorithms to avoid human errors and maximize profit possibilities. 

What is Algorithmic Trading?

Employing pre-programmed trading instructions to execute trade orders rapidly in the financial market is known as algorithmic trading.

Trading software is used by investors and traders who input trading instructions based on time, volume, and price. The trading program executes the orders set by the investor once the set instructions are triggered in the market.

Mutual funds, hedge funds, insurance companies, banks, and other financial institutions employ algorithmic trading to perform many high-volume deals impossible for people to complete.

Advantages of algorithmic trading 

Algorithmic trading is one of the finest ways for an investor to avoid making physical or emotional mistakes while trading and missing out on possible earnings.

Algorithmic trading also necessitates access to historical asset performance, real-time market data, comprehensive trading platforms, and interconnected network infrastructure.

Here are some of the benefits listed below:

  • Traders can quickly execute trades or large-volume orders.
  • Orders are placed in an automated and very exact manner, with no human mistake.
  • Because the orders are completed in seconds, they can prevent major price changes.
  • It enables transaction costs to be reduced.
  • Investors might earn by spotting different-priced stocks in diverse marketplaces.
  • Eliminate human mistakes by trading without allowing emotions to stand in the way of making money or reducing losses.
  • Act on infrequent events, such as the Dow closing 500 points below its 20-day moving average, to gain a competitive advantage.
  • Add to your current strategy by using algos to apply stops and limitations on your behalf to fine-tune your risk management.
  • Maintenance-free Set up your algorithms and let them trade according to your timetable.
  • Backtest Analyze historical data to fine-tune your algorithms and find the greatest purchase and sell parameters mix.
  • With immediate execution, there is a greater chance of success. Using automated buy and sell orders, you can increase your exposure to the underlying market.

 Most Successful Algorithmic Trading Strategy?

Algorithmic trading is profitable with the best indicators. ABInvesting recommends: 

Moving Averages:

A moving average (also known as a rolling average or running average) is a statistical computation that analyses data points by calculating the averages of distinct subsets of the entire data set.

Parabolic SAR: 

The parabolic SAR is a technical indicator that can be used to determine an asset’s price direction and a signal when that direction is changing. 

Stochastics :

Stochastics are a series of oscillator indicators used in technical analysis that point to buying or selling opportunities based on momentum.

Relative Strength Index: 

The RSI fluctuates between zero and one hundred. When the RSI rises above 70, it is considered overbought, and when it falls below 30, it is deemed oversold.

Relative Vigour Index: 

The Relative Vigor Index (RVI) is a technical analysis momentum indicator that calculates the strength of a trend by comparing a security’s closing price to its trading range and smoothing the findings using a simple moving average (SMA).

However, there are various use cases for algorithmic trading strategies beyond the above. This is especially true when considering multiple time horizons, tools, and objectives. 

Here are diverse automated trading tactics to offer ideas and opportunities you might wish to explore for your trading needs. 

Is Algorithmic Trading Profitable?

Yes, algorithmic trading is profitable because traders can take the aid of certain design methodologies. It can be profitable if you do a few things well, such as suitable backtesting and validation methodologies, as well as proper risk management techniques, are among these items.

Unfortunately, many people never get it right, and as a result, they lose money. As a result, you may have heard people complain that algorithmic trading doesn’t work, but they’re employing the wrong tactics.

Is Algorithmic Trading Strategy Perfect for Investors?

The advantages of algorithmic trading are self-evident: it ensures the “best execution” of deals by removing the human factor from the equation. It can be used to trade various markets and assets significantly more effective than a human trader could.

However, there are dangers associated with ALGO trading due to the possibility of the algorithm, IT system, and process failures. Several notable ALGO trading failures have resulted in significant losses, fines, and brand harm for credit institutions and financial businesses in recent years.


The very foundation of algorithmic trading makes its success likely. The human response to market stimuli, embracing greed and gambling, recklessness, and fear, makes up the greatest weaknesses of an investment strategy. Doing away with these immediately provides the possibility of greater success.

Simultaneously algorithms can operate at higher frequencies, providing greater accuracy at entry and exit, besides processing mind-bogglingly large volumes of data from across the global financial system matrix.