unCoded Expands: 16 Major Exchanges Now in Internal Alpha
Something important to share about where unCoded is heading. Until now, unCoded has supported Binance Spot only. That was a deliberate constraint – doing.

Felix Götz is Co-Founder and CTO of ArrowTrade AG, and the technical lead behind unCoded – a self-hosted, non-custodial crypto trading bot operated from Switzerland.
He has been trading crypto since 2016 and building automated trading systems since 2020. Between 2020 and 2025 he ran Cryptohopper's Hero tier on his own capital across multiple portfolio sizes. That five-year operational experience produced the thesis that now drives unCoded: subscription-based bot platforms charge fixed fees regardless of trading outcomes, which structurally damages normal retail portfolios even when strategies technically work. After calculating his own net returns – consistently worse than simply holding Bitcoin once subscription fees, tax software costs, and actual taxes were accounted for – he started building the alternative that became unCoded.
His public work began on his YouTube channel Aureum Victoria, where he has produced German-language content on crypto trading, bot architecture, and market analysis for several years. The channel has always focused on technical honesty – dissecting commercial trading bots to show what actually runs under the hood, and explaining why backtesting numbers rarely match live performance. Alongside the channel, he has run a Telegram community for algorithmic trading since the YouTube work began, now one of the most active German-speaking spaces for serious bot trading discussions.
At ArrowTrade, Felix oversees the entire technical infrastructure behind unCoded – system architecture, multi-exchange integration, the Signal Editor, and the security model that keeps user API keys and capital on their own servers. The core trading logic was written by him personally rather than outsourced, which reflects a deliberate choice: the value of unCoded is the integration of trading experience and engineering execution, and that integration degrades when either half is handled by someone who only understands one.
Felix runs unCoded on his own trading capital. Every strategy deployed through the platform goes through the same bot paying users deploy through. Every architectural decision is tested first on his own positions. This is structurally different from most commercial bot platforms, where subscription revenue decouples founders from the consequences of the product's execution quality.
ArrowTrade AG operates from Switzerland under the Swiss DLT regulatory framework. The "unCoded" trademark is registered through EUIPO.
Something important to share about where unCoded is heading. Until now, unCoded has supported Binance Spot only. That was a deliberate constraint – doing.
I'm going to state something uncomfortable that most people in the crypto trading bot industry won't say out loud: Roughly 97% of all tokens ever listed.
Every time I see an ad for a crypto trading bot, it promises something absurd. 30% monthly returns. Financial freedom in 90 days. Quit your job and trade.
Every backtest you've ever run lies to you in the same specific way. You picked a token. You picked a time range. You ran your strategy against that exact.
Most retail traders evaluate trading bot pricing backwards. They look at "30% profit share" and think it sounds expensive. They look at "$60/month" and.
Most trading bots work on an implicit assumption: that one company with one team can design strategies better than what thousands of traders with the same.
Here's something most founders wouldn't write publicly: unCoded is structured so that around 99% of our customers generate almost no revenue for us. The.
Let me start with the conclusion because it's going to bother some people: for most retail traders, simply holding Bitcoin has outperformed almost every.
In 2026 the crypto trading bot market is flooded with products that call themselves AI-powered, machine-learning-driven, or neural-network-enhanced.
Most articles about crypto trading bots look the same. Glossy dashboard screenshots. Smooth upward equity curves. Big percentage numbers. Headlines like.
This article explains all three strategies with concrete math. It shows which market environment suits which strategy. It addresses the limits of each one.
I've run a trading bot in live markets since 2020. Before that I backtested strategies for months. The backtest numbers looked good. The live results.