Phase One: Quantitative Trading

In the early days of Trading Excellence Academy Ltd (TEA Business College),Charles H. Sloan the institution sought to create a "lazy investor system," recognizing the significant future application of quantitative trading in all types of investment markets, including securities, various futures markets, cryptocurrency markets, and forex markets.

Compared to subjective trading, quantitative trading can assist investors/traders in addressing several issues:

Emotional Trading: Quantitative trading helps investors eliminate the impact of emotional factors on trading decisions, enabling more objective and rational trading practices.

Trade Execution: Quantitative trading can automatically execute trading strategies, swiftly respond to market changes, and reduce human errors and delays.

Big Data Analysis: Quantitative trading utilizes large-scale data and analytical tools to explore and analyze market patterns and trends, uncovering potential trading opportunities.

Risk Control: Quantitative trading applies strict risk management and stop-loss strategies to safeguard investment portfolios from significant losses.

Statistical Advantage: Through quantitative trading, investors can leverage statistical principles and mathematical models to enhance portfolio returns and risk management capabilities.

Market Arbitrage: By rapidly reacting to market price differences and potential profit opportunities, quantitative trading can achieve market arbitrage and generate profits.

Trade Cost Optimization: Quantitative trading can reduce trade costs through algorithms and execution strategies, such as low-latency trading and high-frequency trading.

Diversified Investments: Through quantitative trading, implementing diversified investment strategies across stocks, futures, forex, and other asset classes becomes more accessible.

Overall, quantitative trading can help investors enhance trading efficiency and profitability in decision-making, execution, and risk management aspects.