What’s the best interface for building crypto trading bots?
As one of the co-founders of algorithmic crypto trading platform Aesir, I’ve spent a good amount of time trying to answer that question.
How do you create a clean, visual interface for building trading bots that doesn’t sacrifice on advanced configuration options, and doesn’t clutter the UI?
Most other trading bot platforms out there have overcompensated into one of the two directions: the interface is overly simplified at the expense of functionality, or it’s full of knobs, dials and switches making it feel more like the cockpit of an alien aircraft rather than a bot building tool.
That’s where the idea of “logic layers” came from. Logic layers are composable bits of trading bot configuration logic, each with their own unique approach and use case. They’re called layers because you can stack them on top of each other to create complex trading strategies.
In this article, I’ll take you through the three logic layers that define Aesir’s approach and show you how they can transform the way you trade. I also made a quick video showing how each layer works:
The Volatility Layer
The Volatility Layer is the first logic layer we developed, and it’s all about seizing opportunities in market turbulence.
This layer lets you set up your trading bot to detect significant price movements within a specific time frame, which is perfect if you’re the kind of trader who thrives on volatility.
You define a volatility threshold, say, a 5% price change, and a time window, like the last 4 hours. From there, your bot can be programmed to buy assets that hit that threshold, whether they’ve spiked upward or downward, depending on your strategy.
Imagine you’re eyeing Bitcoin and Ethereum, and you want your bot to snap up either one after a 5% drop in the past 4 hours. This can be ideal for a Buy The Dip strategy.
The Computed Indicators Layer
This layer is designed to simplify the use of multiple indicators without forcing you to micromanage every detail. You pick the indicators that matter to you, think moving averages like the SMA 5 or EMA 10, or oscillators like the RSI, and then set a threshold for the minimum number of indicators that must return a buy signal.
What’s neat here is the flexibility in how you define those thresholds. You can keep moving averages and oscillators separate, requiring both groups to hit their own targets for a buy signal.
Or you can mix them together, saying your bot should buy if, say, two out of three indicators (like SMA 5, EMA 10, and RSI) agree it’s time.
For instance, you might configure it so that if the SMA 5 crosses above a key level and the RSI dips below 70 (avoiding overbought territory), the bot jumps in.
This layer draws inspiration from classic trading setups, like the “Golden Cross,” where a short-term moving average overtakes a long-term one, while letting you tweak the rules to fit your style.
The Technical Analysis Layer
The Technical Analysis Layer is where things get really precise, it’s the most hands-on of the three, built for traders who love to fine-tune their strategies down to the last detail.
Unlike the Computed Indicators Layer, which works with broad buy signals, this one lets you set exact values for your indicators.
Want to buy when the RSI hits exactly 30, signaling an oversold asset? You can do that. You can even chain multiple conditions together using AND or OR operators to craft something truly custom. For example, you might tell your bot to buy when RSI equals 30 AND the EMA 10 crosses above the EMA 20, blending oversold detection with trend confirmation.
This level of control is a game-changer for anyone versed in technical analysis. It’s not uncommon for traders to use setups like this, RSI thresholds paired with moving average crossovers, to pinpoint entry points with surgical accuracy.
Combining the Layers
One of Aesir’s standout features is how these logic layers can work together. You can create a trading strategy where you stack a Volatility Layer, a Computed indicators layer, and multiple Technical Analysis layers, all in a single, complex trading strategy.
