About the author Pavel Petrov
My name is Pavel Petrov, and if I had been told five years ago that I would be making money professionally in the financial market, I would have laughed. By training, I am a system engineer, a man of numbers and rigid logic. There was no place for “luck” or “intuition” in my world, only formulas and calculations. It was this technical mindset that led me into trading in 2018, and it was also, ironically, the cause of my first grand failure.
I came into the binary options market with the dangerous illusion that the quote chart is just an engineering task. I thought it was enough to learn a few patterns and the money would flow. Reality hurt: I leaked my first deposit in three days. I've come across something that breaks 95% of beginners -- the human factor. It was not the market that took my money away from me, but my own psychology: greed made me bid higher after winning, and fear paralyzed me after losing. I tried to win back, tilt and turn trading into a casino. For six months I went around losing money and nerves until I realized a simple truth: Man is the weakest link in trading. We are tired, we are afraid, we hope. The market is a cold machine and only another machine can beat it.
It was a turning point. In 2019, I made a strong-willed decision to completely abandon hand trading based on feelings. I went back to my engineering roots and started writing code. My goal was to create a system that trades solely on the basis of mathematical expectation. It took years to collect historical data, tests and errors, but the real breakthrough came when I introduced Machine Learning. I created a neural network capable of analyzing millions of market situations in a second, finding hidden patterns that are invisible to the eye.
Today, my trading is a boring, systemic process, devoid of adrenaline. And that's beautiful. My AI algorithm monitors more than 15 currency pairs at a time, taking into account micro price movements, volumes and even the news background. He does not know fear and does not feel excitement. If the statistics say that the probability of success of the transaction is 82%, it gives a signal. If the market is unstable, it is silent. I stopped being a player and became an operator of a complex computing system. This approach allowed me to reach stable returns and forget about validol.
Many people ask, “Why do you share signals when the system is so profitable?” The answer is pragmatic. First of all, binary options have a lot of liquidity, and my subscribers have no influence on the global exchange rate. Secondly, a large community allows me to test the algorithm on different brokers and conditions, getting feedback to improve it. And thirdly, I have a mission. I'm tired of seeing scammers selling people the dream of easy money. I want to show that trading is not magic or a lottery, but hard intellectual work. In my channel, I teach people not just to copy signals, but to think about risk management, not taking risks, and treating it like a business.
If you’re looking for a magic pill, I’ll disappoint you. But if you’re willing to trust the hard numbers, statistics and experience of an engineer who’s gone from draining a deposit to building your own AI system, then we’re on the way. Welcome to the world of algorithmic trading.
My experience.
An algorithmic approach to chaos. My Way From Engineer to Creator of AI Trading
Author: Pavel Petrov
Experience: 5+ years in binary options trading
Specialization: Algorithmic Trading, Machine Learning, Risk Management
Foreword: Why 95% of traders lose money
If you’re reading this, you’re probably looking for a way to make money in the financial markets. You may have already tried trading and lost your deposit. Perhaps you’re just looking at binary options and have heard that it’s a scam or a casino.
I’ll start with the hard truth: for most people, it’s really a casino. Not because the market is bad, but because people come here to play, not work. They're looking for adrenaline, quick money and the magic button.
My name is Pavel Petrov. I'm not here to sell you a yacht dream in a week. I'm here to show you how math, statistics and artificial intelligence can turn chaotic graph movements into a systemic source of income. This is my story and description of my method.
Chapter 1. Engineering mindset and first setbacks (2018)
My journey to trading began, like many others, with a desire for financial independence. I am a system engineer by training. I'm used to working with numbers, logic and complex structures. When I first saw the quote chart in 2018, I thought, ‘This is just a feature chart. If there are patterns, they can be calculated.”
I deposited my first deposit with complete confidence in my intellectual superiority. The result? I lost everything in three days.
What went wrong?
I was faced with the main enemy of the trader – psychology. Greed made me overcharge after my first good luck. Fear paralyzed me after a series of setbacks and I was afraid to get into obvious trades. And the tilt and the desire to recoup here and now led to a complete loss of control.
The first six months were hell. I've drained deposit after deposit, trying out strategies from the internet: support levels, RSI, Stochastic, Elliot waves. Sometimes it worked, sometimes it didn't. It wasn't. system. I've become a ludoman who twitches at every price tick.
That's when I realized: People are the weakest link in trade. Our emotions, fatigue, fear and hope prevent us from seeing the real picture. The market is a cold money redistribution machine. Only another car can beat the car.
Chapter 2. Rejection of intuition. The birth of an algorithm
In 2019, I made the decision to completely stop manual trading based on intuition. I went back to what I knew best: engineering and programming. I set out to create a system that trades solely on the basis of mathematical probability (positive mathematical expectation).
Data collection phase
I have started to unload historical quotes of currency pairs over the past 5 years. Millions of lines of data. I was looking for patterns—repeated market situations that were more than 60 percent likely to produce a certain outcome. It was routine, hard work. What happens to the price of EUR/USD if it falls 5 candles in a row? How does the market react to certain volumes in the Asian session? Do round price levels affect the rebound?
Implementation of Machine Learning (2021)
Classical technical analysis was not enough. The market is changing. What worked in 2018 stopped working in 2021. Then I turned to machine learning technologies. I began to develop a neural network that not only follows strict rules, but learn. The inputs included price, volumes, volatility, time of day and economic calendar.
The task of AI was to find correlations that are invisible to the human eye. That's how my author's signal system came about. It's not magic. It's statistics. If AI sees that the current market situation is 92% consistent with the pattern that has risen 1,000 times in the past, it will give a “UP” signal.
Chapter 3. How does my AI work today?
My trade looks boring today. This is the best compliment for a trader. Boring is predictable. Boring means no nerves. My system is based on three whales.
1. Real-time analysis of Big Data. You can watch 1-2 currency pairs at the same time. My algorithm monitors 15+ assets 24/7. It analyzes micro price movements that cannot be seen by the eye and reacts instantly to bursts of volatility.
2. Filtering news noise. Many beginners lose money by trading during the release of important economic news when the market behaves inadequately. My AI automatically shuts down trading or changes strategy during periods of high turbulence, protecting the deposit.
3. Dynamic risk management. The system not only tells you where the price will go, but also estimates force signal. This allows you to vary the load on the deposit, minimizing risks in uncertain situations.
Result: Average transmission of signals over the past year is kept at the level 82-85%.
Chapter 4. Why did I create a channel and help newcomers?
That's the most common question. "Paul, if your system is so cool, why do you need us?" Sit down and trade quietly.” The answer is simple.
First of all, this high-volume testing. The market has enormous liquidity, and my signals won't crash the price. But community feedback helps me find bugs and improve the algorithm. Secondly, this income diversification. Trading is a high-risk business, and training allows me to reinvest in developing new versions of AI and powerful servers. And thirdly, it's mine. mission. It hurts me to see scammers discredit the industry. I want to create a community of thinking traders who use brains, not emotions.
Chapter 5. What am I offering you?
I'm not looking for fans, I'm looking for partners. In my channel, I offer an ecosystem for a safe start. It's honesty and transparencyI publish reports every day and don’t hide my losses. It's thinkingI teach you to manage money, not to risk your entire deposit and fight the desire to recoup. And of course it is. technologyYou get the finished product of my 5 years of development in an understandable format.
Conclusion
Trading is a marathon, not a sprint. You have two options: try to trade yourself for luck (and drain your deposit 95% of the time) or trust the numbers and artificial intelligence. I’m not going to be a millionaire tomorrow. But I guarantee that with my approach you will stop losing money through stupidity. If you are ready to put aside emotions and start treating trading like a business, welcome to the team.
Pavel Petrov
AI Trading Systems Architect