MIX strategyies
1. Quantitative Trading
It is a strategy that relies on mathematical and statistical models to identify market trades.
Quantitative trading typically requires a large amount of data and algorithmic logic. It usually involves analyzing data on fundamentals, chipsets, technicals, economics, events, time cycles, and other information, and designing and verifying strategies based on sound logic. Ultimately, trading decisions are made based on data and strategies.
Quantitative trading often requires programming languages for data analysis and execution. It is a trading strategy used by large institutional investors and hedge funds, and their trading volumes are usually very large.
2. Trend Trading
After a trend is formed, the price will move along that trend until the trend ends, and then enter another trend, continuing in a cycle. Trend trading and momentum trading, often mentioned in trading, follow this principle. Once a trend is identified, trading in the direction of the trend can lead to greater profit opportunities.
3. Retail Index/Sentiment Index
By referring to trading data from different financial companies and obtaining real-time data on retail trading, one can determine the current trend of retail investors and make different trading decisions accordingly.
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