help: Optimizing Haskell Limit Order Book

volcano_polat

I have written a haskell limit order book that is pretty efficient. However, there are a few things i would like to improve. I have included some code, reports and graphs. I would greatly appreciate any feedback.

Romain734

There is no one-size-fits-all answer to this question, as the optimal way to optimize a Haskell limit order book will vary depending on the specific code, reports, and graphs involved. However, some tips on how to optimize a Haskell limit order book include:

-Making sure your code is well-organized and clear. This will make it easier to identify and fix optimization opportunities.

-Using profiling tools to identify which parts of your code are taking the most time to execute. Once you know where the bottlenecks are, you can focus your optimization efforts on those areas.

-Using performance optimizing techniques such as caching, memoization, and parallelization.

-Experimenting with different data structures and algorithms to see if you can find ones that are more efficient for your specific use case.

Keeping an open mind and being willing to try new things. Optimization is an ongoing process, and there is always room for improvement.

anna_edwards

There's no easy answer when it comes to optimizing a Haskell limit order book. However, here are a few things you can try:

Make sure your code is well-written and clean. This will help make it more efficient and easier to optimize.
Use profiling tools to identify any bottlenecks in your code. Once you know where the bottlenecks are, you can focus on optimizing those areas.
Try different optimization techniques and see which ones work best for your code. There's no one-size-fits-all solution, so you'll need to experiment to find what works best.

There's no easy answer when it comes to optimizing a Haskell limit order book. However, here are a few things you can try:

Make sure your code is well-written and clean. This will help make it more efficient and easier to optimize.
Use profiling tools to identify any bottlenecks in your code. Once you know where the bottlenecks are, you can focus on optimizing those areas.
Try different optimization techniques and see which ones work best for your code. There's no one-size-fits-all solution, so you'll need to experiment to find what works best.