Comparing Algo Trading Software Vs. Manual Trading: Pros and Cons

November 26, 2023
Reading Time: 5 minutes

In financial markets, two primary methods of trading stand out: algorithmic trading and manual trading. Each approach has its set of advantages and disadvantages, appealing to different types of traders based on their preferences, expertise, and goals. Read on to know more about the pros and cons of both algorithmic trading software and manual trading, allowing traders to make informed decisions about which method aligns best with their objectives.

Algorithmic Trading Software


1. Speed and Efficiency

  • Execution Speed: Algorithms operate at incredibly high speeds, swiftly executing trades based on predefined conditions. This swift action minimises delays, significantly enhancing overall efficiency in trading operations.
  • Emotion Elimination: By following pre-set parameters, algorithms remove emotional biases inherent in manual trading. This absence of emotions ensures a consistent execution strategy, unaffected by human sentiments, leading to more reliable decision-making.

2. Backtesting and Optimisation

  • Historical Data Analysis: Algorithms can be backtested using historical data, allowing traders to optimise strategies and fine-tune parameters for better performance. For example, uTrade Algos is a platform designed for users to thoroughly backtest their strategies using reliable historical data, enabling the generation of comprehensive reports that are both reliable and accurate.
  • Complex Strategies: Ability to implement complex strategies involving multiple parameters, indicators, and variables for precise decision-making.

3. Automation and Consistency

  • Automation: Trading occurs automatically based on predefined criteria, eliminating the need for constant monitoring and allowing for 24/7 trading. As an example, uTrade Algos has introduced uTrade Originals, pre-built trading algorithms, crafted by seasoned industry experts. These strategies, born from extensive research, cater to various market conditions, safeguarding your capital from inflation’s impact.
  • Precision in Execution: Algorithms execute trades with unwavering consistency, strictly adhering to the defined trading strategy without deviations or inconsistencies.
  • Discipline in Trading: By following pre-programmed rules rigorously, algorithms maintain a disciplined approach to trading, avoiding impulsive decisions or deviations from the established strategy. This consistency ensures reliability and stability in trading outcomes over time.

4. Risk Management

Algo trading integrates advanced risk management techniques better than manual trading.

  • Real-time Monitoring and Instantaneous Execution: Automated algo trading systems continuously monitor market conditions and can instantly execute predefined risk management strategies without hesitation. This rapid response to market changes reduces exposure to potential risks.
  • Diversification and Portfolio Allocation: Algo trading can efficiently diversify across various assets or markets while effectively allocating positions based on predefined risk tolerance levels. This diversification spreads risk, minimising the impact of adverse movements in any single asset or market.
  • Adaptive Risk Controls: Some advanced algo trading systems include adaptive risk controls that dynamically adjust risk parameters based on market volatility or specific predefined conditions. This adaptive nature helps in mitigating risks during turbulent market phases.
  • Automated Stops and Limits: Algo trading systems can automatically place stop-loss orders and profit-taking limits as part of risk management strategies. This automated approach ensures the timely execution of risk mitigation actions without the need for manual intervention.


1. Technical Knowledge Requirement

  • Programming Skills: Developing algorithms requires proficiency in programming languages and quantitative analysis, which might be a barrier for some traders. This said, for algo trading in India, platforms such as uTrade Algos feature no-code algorithms, enabling users without coding knowledge to utilise them effectively. This accessibility benefits a wide range of people who wish to engage in trading strategies without the requirement of coding expertise.
  • Continuous Monitoring: Despite automation, algorithms need regular monitoring for potential glitches or market changes that might require adjustments.

2. Over-Optimisation and Data Dependence

  • Over-optimisation Concerns: Excessive fine-tuning of strategies using historical data might result in overfitting. This phenomenon occurs when an algorithm performs exceptionally well in historical data but struggles in live markets due to its narrow focus on past trends.
  • Market Dynamics Variability: Relying solely on historical data might overlook unforeseen market events or rapid shifts in dynamics. This data dependency poses a risk as markets can evolve differently from past patterns, potentially impacting the algorithm’s effectiveness in real-time trading scenarios.

3. Higher Costs

  • Technology and Software: Algo trading requires specialised software, often necessitating significant initial investment. Traders may need to purchase or license algorithmic trading platforms, data feeds, and sometimes proprietary software for strategy development.
  • Programming Expertise: Developing algorithms demands skilled programmers proficient in coding languages like Python, C++, or specialised platforms like MetaTrader. Hiring or acquiring these skills can add to the development costs.
  • Historical Data Access: High-quality historical market data is crucial for backtesting and optimising algorithms. Acquiring this data from reliable sources might involve subscription fees or one-time purchases, adding to the overall expenses. When it comes to algo trading in India, on the algo trading platform, uTrade Algos, you can start your algo trading free of cost for 15 days. 
  • Algorithm Updates: Markets evolve, requiring continuous refinement and updates to trading algorithms. Maintenance involves monitoring algorithm performance, making necessary adjustments, and updating strategies to adapt to changing market conditions. This ongoing maintenance incurs additional costs in terms of time, effort, and sometimes hiring experts.
  • Hardware and Connectivity: Operating algo trading systems may require robust hardware setups, including servers, high-speed internet connections, and backup systems for uninterrupted operation. These infrastructure costs contribute to the overall expenses.

Manual Trading


1. Flexibility and Adaptability

  • Human Judgement: Traders possess the ability to swiftly adapt to changing market conditions based on intuition, breaking news, and fundamental analysis, factors that algorithms may not always consider.
  • Diverse Strategies: Manual traders can employ a wide array of trading strategies on the fly, adjusting their approach based on the current market situation and dynamics.

2. Emotional Intelligence and Intuition

  • Emotional Control: Skilled manual traders can exercise emotional discipline, avoiding impulsive decisions driven by emotions like fear or greed, a trait not inherently present in automated algo trading systems.
  • Intuitive Insights: Human traders have the capacity to perceive nuanced market shifts and make intuitive judgments that automated systems might overlook due to their reliance on predefined algorithms.


1. Emotion-Driven Decisions

  • Emotional Biases: Human emotions, such as fear or greed, can significantly impact trading decisions, leading to inconsistencies and errors.
  • Fatigue and Burnout: Manual trading can be mentally exhausting, leading to fatigue and impaired decision-making over extended periods.

2. Time-Intensiveness and Subjectivity

  • Time Constraints: Constant monitoring of markets can be time-consuming, especially for day traders, limiting the ability to focus on other aspects of life.
  • Subjectivity: Interpretation of market signals and data can vary among traders, leading to subjective analysis and inconsistent results.

Algo Trading or Manual Trading? Which Method Suits Your Goals Best?

When deciding between these two methods, consider these steps for a thoughtful decision:

Understanding the Differences

Differentiating between both is crucial. Algo trading automatically analyses the market using predefined rules, while manual trading involves personal analysis and trade execution.

Consider Your Trading Style

Your approach plays a pivotal role. If you favour a hands-off strategy and aim to minimise emotional biases, Algo trading might suit you. Conversely, if you enjoy market analysis and making informed decisions, manual trading could be a better fit.

Assess Your Skills

Trading demands various skills like market analysis and decision-making. Evaluate your strengths and weaknesses in these areas to align with the trading method that suits you better.

Evaluate Your Resources

Algo trading requires technical expertise and specialised software, whereas manual trading needs less technical know-how but more time and effort. Assess your resources, including time, money, and technical skills, to determine feasibility.

Test Both Methods

Before a final decision, experiment with both methods using small investments. This real-time testing helps assess which method aligns better with your profitability goals.

Both algorithmic trading software and manual trading offer unique advantages and drawbacks. The choice between the two often depends on individual preferences, skill sets, and trading objectives. Some traders may opt for a hybrid approach, combining the strengths of both methods. Ultimately, understanding the pros and cons of each approach is crucial for traders to make informed decisions aligned with their trading goals and personal preferences.

Frequently Asked Questions

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uTrade Algo’s proprietary features – Advanced Strategy form,  fastest back testing engine,  Pre-made strategies help you Level up your Derivatives Trading experience

The dashboard is a summarized view of how well your Portfolios are doing, with fields such as Total P&L, Margin Available, actively traded underlyings, Portfolio name and respective underlyings, etc. Use it to quickly gauge your strategy performance

You can sign up with uTrade Algos and get started instantly. Please make sure to connect your ShareIndia trading account with us as it’s essential for you to be able to trade in the live markets. Watch this video to get started – Getting Started with uTrade Algos

While algo trading is in use for decades now for a variety of purposes, its presence has been mainly limited to big institutions. With uTrade Algos you get institutional grade features, at a marginal cost so that everyone can experience the power of algos and trade like a pro.

On uTrade Algos, beginners can start by subscribing to pre-built algos by industry experts – called uTrade Originals. 
While more advanced traders can create their own algo-enabled portfolios, with our no-code easy-to-use order form, equipped with tons of features such as – Robust risk management, pre-made strategy templates, payoff graph, options chain, and a lot more.

From single leg strategies to complex portfolios with upto 5 strategies, each strategy having up to 6 legs – uTrade Algos gives you enough freedom to create almost any strategy you’d like. What’s more is, there are pre-built algos by industry experts for complete beginners and premade strategy templates for those who want to try their hand at strategy creation.

An interesting feature that uTrade Algos is bringing to the table is a set of pre-built algorithms curated by top-ranking industry experts who have seen the financial markets inside out. These algorithms, called uTrade Originals, will be available for subscribers on the platform. 

Algos have the capability to fire orders to the exchange in milliseconds – which is one-thousandth of a second. A speed which is impossible in Manual Trading. Experience the power of Algos for free with uTrade Algos – Signup now.

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Experience uTrade Algos on the web and mobile app without any commitment.

Knowledge Centre & Stories of Success

In recent developments, the Securities and Exchange Board of India (SEBI) is reportedly taking significant steps to tighten the regulatory framework around algorithmic trading and the use of Application Programming Interfaces (APIs) in the stock market. These measures aim to enhance transparency, security, and accountability in algo trading practices, which have seen a surge in popularity among retail and institutional investors alike. 

Intraday trading, also known as day trading, involves buying and selling financial instruments within the same trading day. It requires swift decision-making and a deep understanding of market dynamics. With the advent of technology, algorithmic trading has become increasingly popular among intraday traders. These automated systems execute trades based on pre-defined criteria, allowing traders to capitalise on opportunities with speed and precision. In this blog, we'll explore how to implement effective intraday trading strategies using algorithms.

In the fast-paced world of algorithmic trading, where automated systems execute pre-defined strategies in financial markets, success hinges on more than just sophisticated algorithms. To navigate this landscape effectively, traders must be aware of common pitfalls that can undermine their efforts and financial goals. In this article, we will find out how to avoid these stumbling blocks and enhance the chances of success in automated algo trading.

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