BORSA ROBOTUM

So how do these robots work? Here are the basic principles:

Data Collection: Robots collect a wide variety of data in real time, such as stock prices, company news, economic indicators, social media data.
Data Analysis: The collected data is analyzed using statistical models and machine learning algorithms. Thanks to these analyses, predictions are made about trends, patterns and possible future movements in the market.
Trading Decisions: According to the analysis results, robots make trading decisions. These decisions are made based on predetermined strategies and risk tolerance.
Automated Trading: Once trading decisions are made, robots automatically implement those decisions. Thus, the process is carried out quickly and effectively without the need for human intervention.
Some Techniques Used by Artificial Intelligence Stock Market Robots:

Technical Analysis: Future price movements are predicted by analyzing past price data.
Fundamental Analysis: Financial situations of companies, developments in the sector and other fundamental factors are analyzed.
Machine Learning: Used to learn complex relationships and predict future events by analyzing large data sets.
Deep Learning: Used to learn more complex and abstract patterns using neural networks.
Natural Language Processing: By analyzing text data such as company news, social media data, it extracts important information that can affect the market.
Advantages of Artificial Intelligence Stock Market Robots:

Speed: They can process much faster than humans.
Efficiency: They can analyze large amounts of data simultaneously.
Objectivity: They are not affected by emotional biases.
Automation: They process automatically without the need for human intervention.