Database Trading Part 2

Database trading is a method of using data to make better decisions in the market. It involves using data analysis to improve profits and avoid costly mistakes.
How does database trading work?
Data collection: Data is collected from various sources, such as stock exchanges, third-party financial data vendors, investment banks, and hedge funds
Data analysis: The data is analyzed to identify patterns and trends
Decision making: The data analysis is used to make decisions about trading, such as when to buy or sell
Execution: The decisions are executed by machines or humans
Benefits of database trading Helps improve profits, Helps avoid costly mistakes, and Helps navigate the markets.
Examples of trading strategies
Day trading
Involves making many trades in a single day to profit from short-term price changes
Algorithmic trading
Involves using computer programs to execute trades based on predefined rules
Event trading
Involves profiting from short-term price movements triggered by specific events
Position trading
Involves holding positions for an extended period to profit from price movements