ดัชนี S&P BSE Sensex
การศึกษา

database trading part 2

109
#Database Trading

Database trading enhances decision-making by using **historical data, AI models, and statistical patterns** for trade execution.

## **1️⃣ Advanced Data Utilization**
✅ **Backtesting Strategies:** Evaluates trade performance on past data.
✅ **AI & Machine Learning:** Predicts market movements using data-driven models.
✅ **Pattern Recognition:** Identifies high-probability trade setups.

## **2️⃣ Optimizing Trade Execution**
✅ **Real-Time Data Processing:** Helps in **scalping, swing, and intraday trading**.
✅ **Automated Strategies:** Reduces emotional bias and improves consistency.
✅ **Risk Management:** Data-driven stop-loss & take-profit levels for better control.

### **Conclusion**
Database trading enhances accuracy by using **quantitative models and real-time data**, making it a powerful tool for modern traders. 🚀

คำจำกัดสิทธิ์ความรับผิดชอบ

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.