Driven by rising labor costs and the development of financial technology, precise investment strategies have gradually reduced the active investment market. As long as there is complete and reliable historical data and the investment market rules are transparent and stable, indirect analysis with the help of statistical methods can dig out practical investment factors and calculate cumulative investment strategies.
To help you improve research efficiency and solve the problem of cost-intensive research pre-data processing costs. TEJ’s TQuant Lab provides complete and reliable historical data, has the concept of time point, retains the information that can be saw at that time point in history, and truly reflects the stock price and return at that time.
Diverse programming languages (Python, R, .NET, REST).
It can be widely used in various fields, such as individual stock industry research, investment strategy, and machine learning.
Assist in data integration and backtest tool development.
Reduce data engineering and accelerate strategy development.