From software development to full-time trading, and why we built our own algorithmic trading system.
As software developers, we have always had a keen interest in new technologies and alternative digital strategies, so cryptocurrency was always going to be something we explored seriously.
We are naturally quite risk-aware, so it wasn’t until 2019 that we became properly involved. At the time, the price of Bitcoin was low, and mainstream media was full of headlines claiming that crypto was finished and that anyone investing in it was foolish.
As Bitcoin began its early recovery, we started looking more closely at market behaviour. Volume profiles suggested that interest was returning, and search data backed this up. With that in mind, we began investing cautiously while continuing to study how the market actually moved.
When Covid hit and markets crashed, we chose not to sell at the lows. Instead, we increased exposure where it made sense, recognising what looked like a rare long-term opportunity. Even then, the noise from media and social channels made it difficult to commit fully, which was our first real lesson in how fear, greed, and FOMO influence trading decisions.
At the time we were still working full-time in software development, often with family commitments alongside it, so there simply wasn’t enough time to sit in front of charts all day. That naturally led to the idea of building a system that could trade on our behalf.
While others enjoyed the downtime during lockdowns, we spent the time coding, studying trading strategies, analysing market structure, and building the first versions of what would become the current bot.
Eventually we connected our first live system to Binance data feeds, storing real-time market data in our own database and writing algorithms to analyse volatility, trend behaviour, and price structure.
That first bot turned a small test balance into a much larger one over the following months, and from that point on we knew the concept worked — the challenge was making it stable, repeatable, and safe enough to run long-term.
By 2024 we were spending more time trading than developing software. What we found was very different from what social media suggested. Trading manually every day is exhausting, mentally draining, and extremely difficult to do consistently.
After more than a year of watching markets full-time, one thing became clear: most traders don’t fail because they don’t understand the market — they fail because emotions, fatigue, and inconsistency make disciplined execution almost impossible.
With over two decades of software development experience between us, and several years of live trading experience, we already had the foundation of a working system. What we needed was a better version with proper risk control and the flexibility to handle real-world conditions.
In 2025 we began building the current generation of the bot from the ground up. The focus was on stability, risk management, and the ability to trade both long and short, rather than relying on one market direction.
Earlier versions only traded long and depended on buying dips, which works in some conditions but fails badly in others. Experience had taught us that if you cannot trade both directions, you are limiting opportunities and increasing risk.
The new system was designed to balance exposure automatically, manage risk continuously, and still allow manual trade injection when human judgement is needed.
Today the workflow is simple: monitor the system, analyse the market, and step in when required — while the bot handles execution, risk control, and profit taking in the background.