i used @almanak strategy builder to build an lp strategy without writing code.
it is the closest thing to handing your idea to a quant desk and getting back a fully wired onchain strategy.
here is a no bs guide to getting started (especially for mobile users):🧵👇

to begin visit builder .almanak .co
you’ll see three strategy modes
• technical trading (ta)
• liquidity provisioning (lp)
• pre-built examples (training templates)
every new user gets 300 free credits which is enough to build your first strategy without paying

> technical trading (ta) is the best option for beginners and for testing the system safely.
you define your signals → the ai swarm builds logic → simulates → prepares it for deployment no coding needed
starter blueprint: pick a pair with decent liquidity >10k. use one indicator only (rsi or ma works best). keep logic simple buy low rsi sell high rsi. let it run automatically
quick config to copy: rsi 14. buy at 20. sell at 80. one trade at a time. only restart if you change rules. smooth predictable and no chart watching needed
liquidity provisioning (lp) is where almanak shines most.
if you understand price movement even slightly lp automation becomes powerful fast
lp starter blueprint: use pools with real depth. range near spot. width 15-20 percent. bias only if trend is clear. rebalance only if price breaks range
recommended beginner setup: center on current price. 15-20 percent range width.
slight bullish tilt if momentum supports. auto adjust only when out of range
for this thread i’m building an asymmetrical pendle/weth lp strategy. i built everything step by step with ai assisting logic. total time ≈20 minutes
after the model finishes you’ll see “deploy onchain”. click → create/fund wallet → execute.
the engine trades and manages for you.
below is the start and finish of mine



nb if you know basic python you can tweak logic further but it is optional
after free credits you can continue for only $10 which is cheap if you plan to build multiple strategies.
you just need an idea worth automating and everything else is handled by the swarm of ai agents.

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