Hi! I’m Niv Goren.

I placed my first trade when I was 16, after my father took me to my first stock trading course. I won $100, then lost $100, then asked myself what the hell am I doing I’m not ready to loss $100, I’m 16.

So from 16 to the beginning of my army service at 18, I watched a lot of FURUs online courses and constantly kept an eye on the market, without actually trading it. At this point I had basic knowledge of technical analysis and fundamental analysis, but nothing too serious.

Fast forward few years, after my service in the navy, traveled to Singapore to learn Forex trading from a prop/education trading company. Basically learned 1 strategy, made a lot of money and then lost almost all of it.

On hindsight that was a really poor strategy, a lot of out of the money adds and lack of real edge. That was where I learned the hard way how strategies should be evaluated. We had around 95% success rate (SR), but every once in a while there was one huge loss that got us to square one.

That 95% SR sounds great, but it wasn’t good when combining it with 1:0.1 risk reward (RR), as can be seen on the simulation below.

Based on simulation of 100 trades with 95% SR and 1:0.1 RR

Now add to that strategy human errors and bad psychology, and you get a disastrous trading results. I was one of the most consistent traders in that company, but the strategy was meant to fail for all of us.

2 years into my trading experience and after huge PNL swings up and down (most stressful period of my life) , I decided I need to take a professional approach to playing this game. Learning statistics, probabilities and coding seemed like the right thing to do so I went back to Israel and learned Computer Science in college (IDC Hertzelya, BSc), while starting an online media company with my brother.

This days I work as a quant trader for a crypto market maker and research US stocks full time, and have my online media company running on the side. I do a lot of programming with Python and Java, fetching big data of stocks intraday movements and fundamentals directly from the SEC website. I also built a strategy tester and different stock data bases that helps me find and evaluate strategies.

In this blog I journal my adventure in the market – the good and the bad, while trying to provide value with what I know best – data, coding, testing and looking for an edge.

Feel free to contact me for coding advice, data science or just thought sharing at admin@inthemoneyadds.com. My twitter handle is @hackertrader.

Disclaimer: This blog is for educational purposes only and should not be considered as investment advice. Niv is a quant trader for a family office, and the writings in the blog does not represent the company’s views or investments in the markets.