Testing a trading system or Expert Advisor (EA) could be time consuming, but thanks to the Strategy Tester tool on MetaTrader, you can test a trading system using historical price data from several years ago without having to test it real time. It is called “backtesting”
On Wall Street, algorithmic and quantitative trading, based on sophisticated statistical models to structure interesting operations, are conquering everyone. In many trading floors quantitative methods are spreading, and investment companies are competing to hire mathematicians. On the other hand, traditional strategies are losing ground, involving the study of budgets and exchanges of ideas with corporate clients.
Correlation between currencies and commodities mean the relationship between the price trends of the same. The term "Correlation" describes the relationship between two variables, in this case currencies and commodities.
Leverage, what is and how to deal with this double face weapon? Leverage has got several meanings and users. In fact, Leverage is used by investors to significantly increase the returns of their investments by even 400:1 the account value. They can lever investments made with different financial instruments, according to the Leverage allowed by the Broker.
What is BlockChain? An emerging technology and Bitcoin, Ethereum are cryptocurrencies based on BlockChain. And what is Bitcoin, what are its features? And what is Ethereum and why is different from Bitcoin? The interest, the Bitcoin price and the Ethereum price has exploded upward in 2017.
Many traders are asking us how to start with backtesting. That’s why we decided to write a quick guide to help you all get started, explaining how to backtest an Expert Advisor in Metatrader 4 through a quick how-to on using the Strategy Tester
Algotrading is a way to see something that you do everyday in a different manner, a way to automate your trading strategy. Thanks to Expert Advisors you can run automated trading strategies and earn money online
While backtesting there are some good practices to respect, first of all the consistency of your dataset and the the quality of the model. We suggest to run walk forward analysis while backtesting in order to avoid overfitting