Embracing AI Trading Tools

Advantages, Risks and the Importance of Human Factor

4 min readJul 23, 2023
AI-generated image with prompt: “A futuristic trading floor with traders working alongside AI-powered trading algorithms. This image would symbolize the seamless integration of human expertise and AI technology in the financial world.”

Algorithmic trading is responsible for around 60–73% of all U.S. equity trading and Global Algorithmic Trading Market is projected to surpass US$ 21,685.53 Million by 2026 [source].

The year 2023 has witnessed an unprecedented surge in Artificial Intelligence (AI) trading tools, reshaping the financial landscape. Advancements in AI research, combined with the introduction of ChatGPT, have catalyzed the adoption of AI trading tools by retail investors, empowering them with newfound confidence.

In this short article, we delve into the benefits of AI trading tools, with a particular focus on Predicto. We also address the potential risks associated with AI trading that every trader should keep in mind at all times.

The Advantages of AI Trading

Speed and Efficiency

AI excels in processing vast amounts of financial data and making decisions within microseconds. This exceptional speed allows traders to seize time-sensitive market opportunities, optimize entry and exit points, and execute trades with unparalleled efficiency, enhancing overall trading performance.

Data-Driven Decision Making

AI algorithms analyze extensive financial data, including historical price trends, news, and social media sentiment, to identify correlations and patterns. Those patterns are complex and not visible to the human eye. By leveraging this data-driven approach, AI tools can generate explainable predictions, providing traders with valuable insights for informed investment decisions.

Emotional Neutrality

Human traders are often influenced by emotions, such as fear, greed, and bias, which can lead to irrational decision making. AI trading tools, devoid of emotions, maintain rationality and objectivity. This emotional neutrality reduces the impact of human biases, enabling more disciplined and objective investment strategies.

Continuous Learning and Adaptation

AI tools possess the ability to continuously learn and adapt through machine learning techniques. By analyzing historical trading data, they can refine their strategies, learn from past successes and failures, and adjust to changing market conditions. This adaptability ensures that trading strategies remain optimized over time.

The Risks of AI Trading

Lack of Contextual Understanding

AI algorithms, while proficient in data analysis, may lack the contextual understanding and intuition that human traders possess. Market dynamics are influenced by various complex factors, such as geopolitical events and macroeconomic trends. Without human supervision, AI tools may misinterpret critical nuances, potentially leading to flawed investment decisions.

Unlike other AI models, Predicto models integrate with volatility metrics and options data and enable traders to assess market stability, ensuring a holistic understanding of prevailing conditions. We also provide explainability insights to make our forecasts understandable.

Vulnerability to Black Swan Events

AI trading tools primarily rely on historical data patterns to make predictions. However, black swan events, unforeseen and disruptive occurrences, can render historical data ineffective. Without human supervision to help adapt in changing market conditions, AI tools may struggle to adapt, potentially leading to significant losses.

To mitigate this risk, Predicto’s AI model goes beyond historical data patterns, employing uncertainty estimation techniques. This means that all our predictions come with an uncertainty level and when uncertainty is high it means that current market conditions are very unfamiliar to our models. Sometimes this means it’s time to retrain our models. This functionality allows traders to stay alert and minimize risks during previously unseen market conditions.

Algorithmic Biases & Data Quality

The accuracy and reliability of AI trading tools depend on the quality and representativeness of the data they are trained on. Biased or poor-quality data can lead to inaccurate insights and flawed decision making. Human supervision is essential to identify and rectify algorithmic biases and ensure high-quality data inputs.

To diminish this risk, Predicto maintains rigorous data quality controls and regularly assesses the accuracy of provided market data. We also make sure we work & buy our financial data from trust-worthy partners and that we continuously retrain our models to embed latest market information.

Vulnerability to Market Fluctuations

While Predicto’s AI models excel in adapting to market conditions, there is always a degree of vulnerability to unforeseen market fluctuations. Traders are encouraged to maintain vigilance and use AI predictions as well as pay attention to volatility metrics provided to ease any unforeseen market fluctuations.


In summary, we believe that embracing AI trading tools offers immense potential for retail investors to make data-driven decisions, optimize performance, and gain a competitive edge in the market. The key lies in striking the right balance between AI-driven insights and human oversight, ultimately capitalizing on the strengths of both to achieve successful and sustainable trading strategies. As the financial landscape continues to evolve, harnessing the potential of AI while acknowledging the importance of the human factor will be the key to thriving in the dynamic world of trading.

If you want to learn more about Predicto then feel free to visit our website, download our app or continue reading our blog posts!

See you soon!




Stock & Cryptocurrency Forecasting AI. Based on Options Data. Powered by Intelligible Deep Learning models. https://predic.to