pedma

over the past year ive solidified what it means to trade well, at least to me. trading is a whole different ball park than investment, as obvious as that is. must be much more predatorial, despite how bad that sounds, in the sense of constantly reframing questions through an exploitable angle.
oh this new thing just came this specific corner of the market. instead of hearing what the other person is saying, and just conforming to it, listening (reading) and thinking where is it wrong. where and at what point will someone do a mistake, and can i capture that flow somehow.
its a complete differe

kinda weird when claude says something to you that you are absolutely sure you didnt disclose and in some conversation a few months ago it got stored in memory.

hip-4 on mainnet

lol ct timeline all happy loracle closed a short they dont even know if it was directional or not. imagine letting your positions be guided by the {insert Y ct personality} rather than your own work.

i'm trying to fix a strategy that is more sensitive to cost than what I am used to, and now I am realizing how spoiled ive been in the cost section, running low frequency trend/momo strats. also how much more efficient i can be at cost mgmt & add to the bottom line. good stuff.

integrating new venues and building infra to support new strategies at the same time. this is why AI is useful to me. just 10x what a one person team can do on its own. im still reading every line of code, just not creating from scratch. maybe i miss something but its fine.

sometimes i find myself doing more frequent breaks or playing a video game (that tends to be 2 or 3 games), when i have a hard task to solve that I know is a headache.
but i've been trying to force myself to bruteforce it regardless. i think thats a muscle. you need to train your muscle to head on towards hard tasks and get them done rather than being stuck on them for a few days.
if i dont do this, i slack off on anything that is harder than usual. and most things i do these days are not simple, they are quite hard compared to what i was doing say a year ago. example a trade on a tail venue w

crypto twitter really is the best counter signal

i am eating lunch on avg at 11:30 am and having dinner at 6:30 pm.
tell me youre pushing 30 without telling me.

I am looking at a new trade idea, that I am already manually trading, that if I decide to build it out for real, will take me a few weeks.
theres a few steps i consider before making a decision to sink significant time into a project.
its quite a significant restructure and im not sure on the ROI of the task just yet. its seems juicy but have no way to tell until i do some volume.
first thing I am going to do it to do a separate simpler version and model out the effect. its quite a lot of data and theres things i can do first rather than trying to incorporate into my main infra right off the b

people really underestimate how much it goes into building a proper trade research infrastructure that is efficient and able to scale into the real world.
i am no engineer, but I work on this all day every day, and for the past week+ i've been nonstop just fixing bugs that I wasnt even aware they were lurking underneath the whole thing.
tbh now with CC its much faster to find things and fix them. I also document my code much more appropriately now, and can get to issues really fast. whereas before i had to spend a few hours just on pinpointing the issues and then creating or adapting solutions