Not everyone has heard or read about quantitative trading and its advantage in Bitcoin trading. In this article I will throw some concepts about quantitative study. While I will introduce our course of quantitative trading to operate Bitcoin in a 15 minute Time Frame, 15 minute candles.
In finance, the quantitative analysis is the use of financial mathematics, often derived from the Physics and the statistics, to carry out financial analysis. Similarly, this type of analysis occurs in most modern industrial sectors, although in many cases this analysis is not known in those sectors as quantitative analysis. In the investment industry, analysts who perform quantitative analysis are commonly known as quants.
Although the usual area of analysis of this type of techniques was originally asset Management, the Risk management and pricing financial derivatives, the meaning of the term has expanded over time to include those individuals engaged in almost any application of mathematics in finance. Examples include the statistical arbitrage, algorithmic »trading» and carrying out electronic operations in the markets.
Quantitative finance began in the United States in the 1970s, when some investors began using mathematical formulas to price stocks and bonds.
Harry Markowitz, in his doctoral thesis «Portfolio Selection» published in 1952, was one of the first to formally adapt mathematical concepts to finance. Markowitz formalized a notion of average returns and convariances for stocks that allowed him to quantify the concept of "diversification" in a market. He showed how to process the mean return and variance for a given portfolio, and argued that investors should hold only those portfolios whose variance was minimal among all portfolios for a given mean return.
Harry Markowitz was born into a Jewish family, son of Morris and Mildred Markowitz.1 During high school, Markowitz developed an interest in physics and philosophy, particularly the ideas of David Hume, an interest he pursued during his student years at the University of Chicago. After receiving his BA from him, Markowitz decided to continue his studies at the University of Chicago, choosing to major in economics. There he had the opportunity to study with important economists, including Milton Friedman, Tjalling Koopmans, Jacob Marschak and Leonard Savage. While still a student, he was invited to become a member of the Cowles Commission of Research in Economics, which was in Chicago at the time.
Markowitz chose to apply mathematics to stock market analysis as the topic of his dissertation.
In 1969, Robert Merton introduced the stochastic calculus in the study of finance. Merton was motivated by a desire to understand how prices are set in financial markets, which is the classic economic question of "equilibrium."
In parallel to Merton's work and with his help, Fischer Black y Myron Scholes they developed the Black–Scholes model, which was awarded in 1997 with the Nobel Prize in Economics.
Mathematical and statistical approaches
Quantitative analysis is usually based on three types of mathematics: statistics and probability, calculus focused on partial differential equations and econometrics. Most quantitative analysts have little training in economics, and usually apply a set of tools borrowed from physics. Physicists tend to have less experience in statistical techniques, so they usually rely on approximations based on partial differential equations, and their solutions are usually based on the numerical analysis.
The most commonly used numerical methods are:
- Finite difference method, used to solve partial differential equations.
- Monte Carlo method, also used to solve partial differential equations. But the use of Monte Carlo simulation in risk management is also common.
Workspaces
- Development of strategies signals
- Investment portfolio optimization
- Pricing of derivatives and hedging
- Risk management
- Credit analysis
- Other fields such as medicine, agriculture, etc.
Once you know a little more about quantitative analysis, you may be more interested in learning about our new course. signals quantitative Bitcoin which will be held on July 06th.
If you are interested in our courses #quantitativetrading OUR NEXT COURSE JULY 06, you can sign up at this link ⚡⚡Sign up for the Course #trading quantitative here: https://forms.gle/GFCb3qR79BvvMaqy5 Leave me your phone number in the form and I will call you to answer your questions. Don't forget to watch our video https://youtu.be/4eujAEez0nU
let me tell you,
Is this course for me if I don't know anything about Trading? Especially if you don't know about Trading, this course is for you, we prefer not to have experiences that could blur the learning. What will the structure of the course be like? When are the live sessions going to be? Will they be recorded? The course starts on July 06 and we will have two live video sessions a week for 8 or 10 classrooms in total. All sessions will be recorded and uploaded to campus so you can watch them whenever you need. They will be on Mondays and Wednesdays from 19:00 p.m. to 20:30 hrs Spain
What syllabus will be taught? The topic will be on quantitative trading, explaining his own technique to operate Bitcoin, understanding the markets, monitoring trends, and using the proven strategy. Everything will be weekly live sessions so you can ask questions. Will there be access to the telegram group? And to the University Campus? Bit2Me? How long? All participants in the course will have access to a student forum hosted on Discord that we will send you along with access to the Bit2Me University Campus. There will also be a Telegram group. Until when can I book the course? The course can be booked until Sunday July 05
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