Joey DeBruin
@joey
If I want to give an agent autonomy to make trades on my behalf — today, without writing any code — what’s the best way to do it? Haven’t been keeping up with all of the developments but I’d like to eventually outsource trading decisions for most of my (not so large) crypto portfolio.
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Señor Doggo
@fubuloubu
what types of trading decisions would you like to offload? do you have a particular strategy that you want to follow (e.g. momentum trading), or do you basically want to just watch what you have and maybe have it tell you when it does something "weird"?
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Joey DeBruin
@joey
Basically, this https://warpcast.com/joey/0xab3c3089 I want it to make trades following a specific strategy. Could be fairly tightly scoped to start, and then over time ideally it becomes more iterative/intelligent using NLP and other data sources.
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Señor Doggo
@fubuloubu
We built something called Silverback that can implement those tightly scoped strategies extremely well, you write them as Python scripts (bots) that can listen and respond to blockchain events in real-time, including sending transactions for trades, etc. We have a "bot cluster" product that just came out last week, basically you can run tens to hundreds of these strategies on multiple netwotks and manage them very easily I've been thinking about the agent piece, basically wrap the bot cluster control interface with a fairly typical LLM chat agent that knows how to search for some bots to run based on metadata of their container images describing what they do, and then knows how to use the bot cluster as a tool to install and start them running, occasionally check their health, etc. The bots themselves have really strong foundations with our devtooling, which people use for contract development and chain action all the time. This minimizes the surface that the LLM would get things wrong What do you think?
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Joey DeBruin
@joey
sounds cool! i'm really just interested in the end product here — a consumer grade experience (at least up to what experienced crypto people will tolerate) where I can fund an agent with an evergreen strategy and not have to worry it's going to go haywire and lose everything
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Señor Doggo
@fubuloubu
That's the big problem. If you farm out everything to an LLM, it will hallucinate and give you the wrong results. But if the LLM is simply the interface layer between finding the right bot to run and knowing how to analyze what it does in order to explain it to you, then you have a really strong foundation to get exactly what you want.
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