Update the functions to take middleware instead of a provider. This allows for greater flexibility like using the NonceManagerMiddleware, FlashbotsMiddleware or some custom Middlewear.

A contant value should be used anywhere there is a U256 value that never changes.

For example:

      //Set sqrt_price_limit_x_96 to the max or min sqrt price in the pool depending on zero_for_one
        let sqrt_price_limit_x_96 = if zero_for_one {
            U256::from("4295128739") + 1
        } else {
            U256::from("0xFFFD8963EFD1FC6A506488495D951D5263988D26") - 1
        };

All of these values should be changed to match this format:

pub const MIN_SQRT_RATIO: U256 = U256([285968860985, 0, 0, 0]);
pub const MAX_SQRT_RATIO: U256 = U256([
    9809463991923573570,
    227557619515130776,
    5049738529920590081,
    1,
]);

I think adding liquidity provision helpers on the pools could be very appealing to liquidity providers monitoring and moving around large amounts of liquidity across CFMMs. This would allow liquidity providers to seamlessly automate their liquidity provision, and analytically optimize the profitability of their positions.

For Starters:

Mint Liquidity

function mint(
        address recipient,
        int24 tickLower,
        int24 tickUpper,
        uint128 amount,
        bytes calldata data
    ) external returns (uint256 amount0, uint256 amount1);

Collect Fees

function collect(
        address recipient,
        int24 tickLower,
        int24 tickUpper,
        uint128 amount0Requested,
        uint128 amount1Requested
    ) external returns (uint128 amount0, uint128 amount1);

Remove Liquidity from a position

function burn(
        int24 tickLower,
        int24 tickUpper,
        uint128 amount
    ) external returns (uint256 amount0, uint256 amount1);

Ranged Liquidity or Time Weighted Average price

function observe(uint32[] calldata secondsAgos)
        external
        view
        returns (int56[] memory tickCumulatives, uint160[] memory secondsPerLiquidityCumulativeX128s);

Seconds per Liquidity & Seconds inside a tick range

function snapshotCumulativesInside(int24 tickLower, int24 tickUpper)
        external
        view
        returns (
            int56 tickCumulativeInside,
            uint160 secondsPerLiquidityInsideX128,
            uint32 secondsInside
        );

The above function would also be helpful for calculating optimal JIT positions and amounts.

Implement a function within the dex mod that gets all of the pools containing a target token address.

pub fn get_all_pools_containing_token(target_token: H160, dexes: Vec<Dex>, provider: Arc<Provider<P>>, ) -> Result<Vec<Pool>, CFFMError<P>>{
    for dex in dexes{
        //Get all pools starting from the dex creation block,
        //Filter out pools that do not have the target token
       //For all pools containing the target token, sync the pools 

    }

    // --snip--
}

Opening this issue to start brainstorming around what the CFFM book might look like. I think the book should look something like the Foundry book, walking through the different mods in the lib and how to use them.