Five of the world's top four and top six asset management institutions rely on computer technology to make investment decisions .

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And the scale of funds managed by quantitative and procedural exchanges is further expanded .

The first name , Bridge Water Fund 1629 Billion dollars ;

proxime accessit ,AQR,1138 Billion dollars ;

The third , Renaissance Technology ,601 Billion dollars ;

A fourth ,Two Sigma,388 Billion dollars ;

fifth ,D.E Shaw & Co.,312 Billion dollars .

secondly , In terms of the salary level of the employed , Global super 70% The transaction of funds is carried out by computer or program , Half of them are operated by quantitative or procedural managers .

For students with zero basis , Want to get into AI The door to quantification needs to be crossed 4 A mountain ： Financial theory , Trading strategies , Machine learning and deep learning ,AI Quantitative practice .

Currency Trading Robot System |AI Quantizing robots | Quantitative trading system

1. Financial theory

This part is mainly about the classical theories and models in the development of quantitative trading , Such as the market efficiency hypothesis 、 Option pricing model 、 Portfolio Management 、 The stochastic process of the stock market 、 Binary tree model 、 Smile model, etc , These are the theoretical basis for understanding financial market behavior .

2. Trading strategies

Fundamentals 、 Technical analysis 、 Time series analysis 、Alpha Strategy 、 multifactorial model 、CTA Strategies are traditional and typical trading strategies . Even in use AI In the process of solving quantitative trading , Traditional trading strategies are also widely used , At this stage, we can master the traditional trading strategy and its application .

3. Machine learning and deep learning

Any trading strategy will end up on the ground , Especially in the field of quantification , Use AI Technology requires basic machine learning and deep learning algorithms . Wu Enda in Machine Learning and 《Deep LearningSpecialization》 The theory and algorithm principle of machine learning and deep learning are explained in simple terms , It's a must-have medicine for beginners .

4. AI Quantitative practice

Practice is the only criterion for testing truth . Learners need to test whether the strategies are effective in a real market environment , And continue to optimize 、 improvement , Only in this way can we achieve stable returns for investors .

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