Almanak has recently launched a new product and has conducted some research before, so I would like to take advantage of the popularity to talk about this project. Their idea: one person runs a hedge fund on a branch. I checked the word Almanak and it means' yearbook ', which is a common name for books. The project is about AI agents and strategies, with various strategies flying around and added together, which can also be called the 'Fund Strategy Yearbook'. So, I tested their product and the input command was: Make mainstream coins (WBTC, ETH) and stablecoins (USDT, USDC) as LPs on Uniswap. 1. Which pair has the highest APR and on which chain? This may involve several possibilities for 2 * 2 * chains 2. Determine the price range that should be set through short-term and medium-term judgment 3. Calculate the proportion of principal that should be invested in mainstream coins and stablecoins based on the price range (assuming each position is invested in $100K) Then Almanak's AI asked a few questions and began to capture and analyze. Finally, it was analyzed that the ETH/USDC liquidity on Base had the highest APR among the above options, and the range of 1600-3300 was chosen. Next, we will directly enter the development, testing, and deployment process. PS: I really don't treat AI as a human. After about 10 minutes, the strategy will be established. If this money is injected into the contract, the wallet will actually start executing the strategy directly. A good starting point for using Almanak is to start with testing small funds, which is known as' concept validation '. If the effect is good and the operation is safe, then consider expanding the scale. For example, at the end of last year, an institution applied for a night market Bitcoin ETF, established a position in Bitcoin after the US stock market closed, and sold it at dawn during the day. At first glance, this idea sounds good to you, but you still need to run a real test to see how it actually works. If you throw in $100, just tell Almanak to write some code and run it for ten, five, and a month, you will naturally have a result in your mind, saving a lot of time all at once. You can also advance and run some quantitative strategies. For example, because Almanak has now integrated with GMX, taking arbitrage as an example, it can write a strategy of 1x spot+1x equivalent short order to earn commission rates, and spot can also be deposited into Aave, Morpho, and other platforms for profit enhancement. PS: It really needs to be connected to HyperLiquid and support HyperEVM chain 。 In this way, from strategy construction, testing, to scaling up, all can be achieved through Prompt. Speaking of which, from the perspective of fund risk control, it is necessary to conduct a thorough audit of the code before investing large amounts of funds to ensure the security of the program. Human AI auditing, human auditing, and even third-party auditing are all necessary. If you are interested, you can come and test them all. Each regular user can use up to three premium signals per week for free, which can be used as a membership or unlimited free signals. In addition, when writing strategies, it is not necessary to use signals. You can also directly communicate with Almanak Code to burn credits, which will be renewed once a month. The link is in the comment section.