What is Algo Trading and How it Works: Top Strategies

Automation of various tasks in the different industries and sectors is taking place everywhere. In financial markets, Algo trading plays such a role to automate various actions with better results. Though earlier, the big players have used it or large fund houses.

However, now it is used by all categories of traders and investors, including retailers, giving them an opportunity to save not only time and effort but also get better results.

Algo or Algorithmic is now widely used in trading through more advanced trading platforms, making it easier for every trader and investor to get access and enjoy the power of algorithms in trading. So, right here we are going to discuss about Algo trading, how it works, trading strategies with its pros and cons.

What is Algo Trading?

Algo or algorithm trading is the use of pre-programmed instructions to execute orders. Algo trading executes orders at a high speed, which is impossible for humans to achieve. Pre-determined instructions are fed into a trading system, which executes orders on behalf of the investor.

A trading platform with pre-programmed algorithms will wait for the desired conditions. Once the predetermined conditions are met, the trading system or platform executes orders at a super-high speed. Financial institutions, AMCs, hedge funds, and other entities actively indulge in algo trading to execute orders in the share market.

Retail investors usually do not have the infrastructure and expertise required to indulge in algorithmic trading. However, many stockbrokers have started offering algorithmic trading tools and automation facilities to retail investors in the past few years. Retail investors might use pre-built algorithms to execute their orders.

Algo or algorithm trading is the use of pre-programmed instructions to execute orders. Algo trading executes orders at a high speed, which is impossible for humans to achieve. Pre-determined instructions are fed into a trading system, which executes orders on behalf of the investor.

A trading platform with pre-programmed algorithms will wait for the desired conditions. Once the predetermined conditions are met, the trading system or platform executes orders at a super-high speed. Financial institutions, AMCs, hedge funds, and other entities actively indulge in algo trading to execute orders in the share market. Retail investors usually do not have the infrastructure and expertise required to indulge in algorithmic trading. However, many stockbrokers have started offering algorithmic trading tools and automation facilities to retail investors in the past few years. Retail investors might use pre-built algorithms to execute their orders.

How Algo Trading Works?

An algorithm-based trading software, API or platform is developed by using a set of advanced coding to create predefined instructions for the computer system. Based on these commands computer follows the instructions and takes actions accordingly.

When Algo is activated, it works when the predefined conditions met as per the instructions, and the orders are executed automatically without human intervention. The Algo can work in different market situations and can also change the trading strategy as per the changing market conditions.

For example, if Algo is instructed to execute the order when the price of a particular stock crosses above or below a particular price. Similarly, stop loss and profit booking is done by Algo through an automated system. However, Algo can be manually adjusted as per the changing market conditions

Algorithmic Trading Strategies

Now that you understand what algo trading is, here are the common strategies used by investors:

• Trend Following: Investors try to follow trends with the help of pre-programmed algorithms. Moving averages, momentum trading, channel breakouts, and other trends are used. The algorithm will execute the order when the market achieves the desired trend.
• Arbitrage: Investors might buy securities in one market and sell them in another to make a profit. Arbitrage trading strategies can be implemented with the help of pre-programmed algorithms. It allows investors to make profits on price differences in two markets for the same asset.
• Mean Reversion: This strategy works on the principle that the price of an asset will revert to its historical mean over time. Pairs trading and Bollinger bands are commonly used mean reversion strategies in algo trading.
• Mathematical or Statistical Models : Many investors indulge in quantitative or machine learning-based trading. Such investors will use mathematical or statistical models for algorithmic trading.
• Event-Driven Trading: Investors might execute orders based on different events. For instance, earnings surprise strategies are used by several algo traders. Orders are executed based on the earnings reports of the company. Pre-defined expectations regarding the earnings reports are fed into the trading system, and the algorithm executes the order accordingly.
• Index Fund Rebalancing: Algorithms can be developed for index funds. These algorithms rebalance the fund according to the index it tracks. Algo trading can minimise the tracking error for index funds.

Advantages and Disadvantages of Algorithmic Trading

Now that you have understood algo trading strategies, let us discuss the pros and cons. Beginners or novices might start using pre-built algorithms without understanding the basics. Every trading strategy has some benefits and a few risks. It is essential to understand the pros and cons of algorithmic trading before making a trading decision. Here are the advantages and disadvantages you must know:

Algo Trading Advantages

• High Volume and Speed : Algo trading allows for the rapid execution of a high volume of orders, often faster than manual trading.
• Precision: Orders executed by algorithms are highly accurate, minimising the chances of human error.
• Automation: Pre-programmed algorithms follow exact instructions provided by the investor, reducing the need for manual intervention.
• Cost Reduction: Algo trading can significantly reduce investment costs, particularly for institutional investors.
• Risk Management: Algo trading is used to implement various risk management strategies, including stop-loss, fund rebalancing, and portfolio rebalancing.

These advantages make algorithmic trading a valuable tool for both individual and institutional investors seeking efficiency, precision and cost savings in their trading activities.

Disadvantages of Algo Trading

• Technical Glitches: Technical glitches can affect algorithmic trading, leading to issues like order execution delays and software bugs.
• Market Volatility: Algorithms may struggle to adapt to rapidly changing or highly volatile market conditions, potentially leading to undesired outcomes.
• Over-Optimisation: Overly optimised algorithms that rely solely on past data can fail to adapt to current market conditions, resulting in potential losses.
• Lack of Human Judgment: Algorithmic trading lacks real-time human judgment, making it less suitable for investment strategies requiring subjective decision-making.
• Data Accuracy: The success of trading algorithms heavily depends on the accuracy of the input data; discrepancies can lead to algorithmic failures.
• Recommended Read: What is Trading
• Regulatory Concerns Institutional investors may face legal and regulatory challenges if algorithmic trading results in incorrect or problematic trades.

While algorithmic trading offers various advantages, these considerations and drawbacks highlight the need for careful monitoring, risk management, and regulatory compliance in algorithmic trading strategies.

Algo-Trading Time Scales

Algo trading is implemented across several time scales based on investment needs. Here are the different time scales in algorithmic trading:

• High-Frequency Trading: HFT or high-frequency trading can execute orders between milliseconds and microseconds. Advanced algorithms are used to execute orders at such a high speed.
• Low-Latency Trading: Some investors might want to place orders between milliseconds and seconds. Such investors use the low-latency time scale for algo trading.
• Intraday: Many intraday traders place orders between seconds and minutes through algorithmic trading. They might even use an hour-based time scale for executing orders. Intraday traders focus on taking advantage of short-term price movements within a given day.
• Swing Trading:Swing traders take advantage of the market’s short- to medium-term price movements. The time scale for swing trading can be between hours and days.

The time scale will also differ in position trading, arbitrage, event-based trading, and long-term investing.

How to Start Algo Trading?

To start the Algo trading, you need to understand all the basics of Algorithmic trading, and then you can use the right Algo trading platform to use the right strategies. However, if you can understand and use programming languages like Python, C++ and R, and develop your own algorithmic trading strategies.

Once you developed the strategy or chosen from the pre-defined strategies, you need to backtest the strategy. And as per the market conditions or based on your risk and reward ratios, you can tune your strategy. Now you can run the strategy in the live market to trade with Algo.

If you are looking to trade with advanced Algo trading software, you need to open a trading account with a broker providing the Algo trading facility through an online platform. You will get access of API or the trading platform to trade with Algo using the various strategies as per the different market conditions.

Conclusion

Algo trading allows investors to execute orders at a super-high speed. Investors can take advantage of short-term price movements by executing orders in quick succession. However, a few risks are associated with algorithmic trading, like low human interruption, data discrepancies, and over-optimisation. Beginners in the stock market can use pre-built algo trading tools for faster trading. Start implementing algo trading strategies now!