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All posts by Diyan Doychev

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Trading for beginners: Everything you need to know to start trading on the financial markets

The following article is going to introduce you to basic concepts in investing/trading on the financial markets. It is best suited for readers with no prior formal financial education. If you have some background in finance, you can still read on, because the post can serve you as a...

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The 21 most popular trading strategies every serious trader should learn to succeed

In this post, you are going to find the 21 most popular basic trading strategies that have influenced a lot of successful algorithmic and quantitative trading systems. These strategies are proven systematic trading methods, that have been implemented not only by individual algo traders but have also been used...

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The top 5 essential books about algorithmic trading every beginner should start with

In this post, you are going to find a list of the top 5 essential books that you should start with if you are interested in algorithmic trading. We do not need to tell you that algorithmic trading a huge topic to cover. If you already did a search,...

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Introduction to Quantitative Finance Part 03: Trading systems

What is a Trading System? A trading system is basically a trading plan with a set of rules that define the entry and exit conditions to go in and out of the market. Having a trading system with clear trading rules is like having a roadmap with directions that...

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Introduction to Quantitative Finance Part 02: Technical analysis, algorithmic, automated and quant trading

Technical analysis is one of the most popular techniques, used in trading systems design. While it is considered by many a simplified approach to trading on the financial markets, based on identifying trends and looking for patterns on charts, it has evolved to something much more than that. Back...

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Introduction to Quantitative Finance Part 01: Algorithmic Methods

Quantitative finance is a method of training and analyzing financial markets which takes advantage of mathematical models and large datasets. This method is used in various areas of finance, such as in the pricing of derivatives or risk management.

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