How it actually started
When Bitcoin first hit $1,000, I thought: I can trade this. I can make money here. It seemed obvious at the time.
I was wrong.
I started trading manually. The moment I bought something, I was checking the price every five minutes. It went down. I'd watch it go down, tell myself it would recover, and keep watching. If I wasn't in a position, I was staring at the chart trying to figure out the perfect entry. Nights, weekends, during work. It was always there in the background. It's an exhausting way to live.
Then in 2020, I put everything into a hyped-up altcoin. It lost more than 90% of its value. I lost several months of income. The feeling wasn't panic. It was that specific kind of frustration you feel when you know you should have gotten out, and you didn't.
I made two decisions that day: no more coins without real fundamentals, and no more trading without a system that's been properly tested. If I was going to do this, I was going to do it the only way I know how: automate it and let the data decide.
I'm a DevOps engineer. I automate everything. It was the obvious next step.
The process
- 2021 Started writing Bash shell scripts on Linux to backtest strategies I'd found online. Golden crosses, moving average crossovers, the usual recommendations. None of them worked. Not a single one survived proper testing. Optimized and parallelized the scripts. Got a single backtest down from 10 minutes to 1–2 minutes. Still slow, but the foundation was there.
- 2022 Narrowed the focus to BNB/USDT - the most promising pair across all early tests, and the one showing the strongest potential for a clean, consistent edge.
- 2023 Upgraded to a more powerful machine dedicated solely to running backtests - 24/7, without interruption.
- 2024 Rewrote the backtester in Python and added a web interface. Multithreading brought a single test down to ~1 second, but the web layer introduced new bugs and slowed down development. Scrapped it.
- 2025 Rebuilt the entire engine in C. A single backtest across 8 years of data now runs in 0.005 seconds. Over 30 base strategies and 20+ filters tested, but never stacked blindly. Adding too many filters at once either caused overfitting or simply stopped working. The final configuration uses only 2-3 filters, each earning its place independently.
- 2026 One strategy survived. Profitable in backtesting and out-of-sample validation across every test period. By this point, tens of millions of parameter combinations had been run across those five years - each one a data point, not a guess. That's what powers the edge updates on this site.
The backtester running 1.25M parameter combinations at 512 tests/sec
Why BNB and BTC?
I don’t believe in "all-in-one" algorithms that claim to work on every chart. Not every market behaves the same way. My primary focus has been BNB/USDT: it is the pair where my engine found the most stable edge, boasting an 85.6% win rate and a 2.00 Profit Factor. It remains my personal flagship.
However, the logic has proven its robustness on BTC/USDT as well. While it has a different characteristic, a higher 89.7% win rate with more conservative average wins, it offers a lower maximum drawdown (-18.4%), providing a stable equity curve. Both pairs have passed the same rigorous 10/10 out-of-sample stability tests. The strategy does not use martingale, grid, or position averaging.
I am currently in the deep-testing phase for ETH/USDT, following the same "slow and steady" engineering approach, targeting Q2 2026. The roadmap is driven by data and community interest: if there is a specific pair you would like to see, let me know. If it shows a strong mathematical edge, I will move it to the front of the queue.
A few rules I follow: if a strategy can't survive out-of-sample testing, it doesn't exist. If it needs 12 filters to work, it's probably overfitted. And if the numbers stop working, the strategy is gone.
I trade the strategy myself. Sharing the edge updates is almost no additional work, and it turns five years of development into something that pays for itself. Members receive the edge updates in real time. That's the whole model.
Every backtest result on this site is real. Every live trade is logged publicly. If the system stops working, you'll see it in the numbers before I say a word.