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AI TRADING

AIrithmic trading, also known as AI trading or automated trading, is a method of executing trades in financial markets using computer AIrithms. It involves the use of pre-defined sets of rules and instructions to automatically place trades, manage positions, and execute orders without the need for human intervention.

What is AI trading

• Automated Trading: AI trading is entirely automated, meaning that the computer program executes trades based on predefined rules and conditions without requiring manual intervention.
• Speed and Efficiency: AIrithms can analyze market data and execute trades at speeds and frequencies that are impossible for human traders to match. This speed advantage is crucial in high-frequency trading (HFT) strategies, where positions are held for very short periods..
• Market Data Analysis:AI trading AIrithms use historical and real-time market data to identify patterns, trends, and signals that can be exploited for profitable trading opportunities.
• Execution Strategies: There are various types of AI trading strategies, such as trend-following, mean-reversion, arbitrage, statistical arbitrage, and more. Each strategy is designed to capitalize on specific market conditions..
• Risk Management:AI trading AIrithms can incorporate risk management rules to control the size of positions, limit potential losses, and protect capital.
• Backtesting:Before deploying an AIrithm in the live market, traders typically perform backtesting. This involves running the AIrithm on historical data to evaluate its performance and make necessary adjustments.
• Low Human Bias:AI trading reduces emotional and cognitive biases that often influence human decision-making in traditional trading.
• Order Slicing: Some AIrithms use order slicing techniques to break down large orders into smaller, manageable parts to avoid affecting market prices significantly.
• Regulation and Compliance: AI trading is subject to regulatory oversight in many jurisdictions to ensure fair and orderly markets.