Risk and money management are absolutely critical topics in quantitative trading. We have yet to explore these concepts in any reasonable amount of detail beyond stating the different sources of risk ...
When carrying out an algorithmic trading strategy it is tempting to consider the annualised return as the most useful performance metric. However, there are many flaws with using this measure in isola...
Brief Overview of Futures Contracts Futures are a form of contract drawn up between two parties for the purchase or sale of a quantity of an underlying asset at a specified date in the future. This da...
Backtesting is the research process of applying a trading strategy idea to historical data in order to ascertain past performance. In particular, a backtester makes no guarantee about the future perfo...
Foreword I’m certainly not a great programmer, but writing this project taught me a lot (and kept me occupied). Most of my code were done on FMZ.COM, and if I were to refactor the python code I would ...
Algorithmic trading is usually perceived as a complex area for beginners to get to grips with. It covers a wide range of disciplines, with certain aspects requiring a significant degree of mathematica...
It is common, as a beginning algorithmic trader practising at retail level, to question whether it is still possible to compete with the large institutional quant funds. In this article I wo...
Lucrative salaries, hefty bonuses and creativity on the job have resulted in quantitative trading becoming an attractive career option. Quantitative traders, or quants for short, use mathematical mode...
Traders and investors can turn precise entry, exit and money management rules into automated trading systems that allow computers to execute and monitor the trades. One of the biggest attractions of s...
Originally From : https://www.quantinsti.com/blog/learn-algorithmic-trading With the boom in technological advancements in trading and financial market applications, algorithmic trading and high-frequ...