Uses computer programs to follow pre-set rules for placing trades.
AI improves this by learning from historical data and adapting to new market conditions.
Learns patterns from large datasets (price, volume, news).
Can predict market movements or optimize trading strategies without explicit programming.
Analyzes news, social media, and financial reports to gauge market sentiment.
Uses neural networks to find complex patterns in data.
Can handle high-frequency data and make decisions in real-time.
Data Collection: Historical prices, volumes, indicators, news feeds.
Model Training: AI is trained on this data to recognize profitable patterns.
Signal Generation: When certain conditions are met, AI suggests or executes trades.
Execution: Trades are executed automatically through APIs or trading platforms.
Feedback Loop: AI continuously learns from new outcomes to improve accuracy.
Faster and more accurate than manual trading
Trades 24/7 (especially useful in crypto and forex)
Removes human emotion and bias
Can analyze massive datasets in real time