The use of Artificial Intelligence is limitless. It has already impacted almost any segment of our lives. It helps us get feedback from brands in real-time; it minimizes the risk of human error and automates most of our daily activities; it improves the photos we take on our smartphones; it assesses our creditworthiness, and so forth.

One of the markets that benefit from artificial intelligence and Machine Learning most is forex trading. Namely, forex is the ever-growing industry that is worth $1.93 quadrillion. Recent studies say that $5.3 trillion is traded in this market daily. Low costs, high liquidity, ease of entry, a variety of pairs to trade, and no central regulator make it highly attractive for traders. Still, to get the most out of your forex investments, you need to understand the disadvantages of the market, as well. Complex price determination processes, high volatility, and high risks are just some of them.

How do you measure your forex trading performance? 

Trading performance can be expressed in many forms and complex algorithms, but it’s essentially the mechanism used to evaluate a trader’s return and risk tolerance or lack thereof.  All types of traders can be measured from day traders, to swing traders and everything in between. 

You can measure your trading performance with this 5 ways:

1. How many winning trades

2. How many losing trades

3. Net Profit

4. Largest Winner

5. Largest Loser

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