arge

I started a new Web3 experiment using a deliberately small amount of ETH.
The goal isn’t to find the highest APR.
I want to understand what actually happens throughout the cycle:
ETH → liquid staking → representative token → tracking → exit
For this test, I’m experimenting with Lido and wstETH, using a small exposure within the Web3 environment I’m reorganizing.
What I want to observe is not just how much it yields.
I’m going to record:
🔹 initial value;
🔹 ETH used;

Over the past few months, I’ve been testing real Web3 tools: networks, pools, stablecoins, exchanges, staking, and different experiences with deliberately limited capital.
All of that helped me learn.
But it also led to one conclusion:
Having more positions doesn’t necessarily mean having a better-organized portfolio.
This week, I changed the question.
Before:
Where can I get a higher return?
Now:
What is this capital for?
From there, I started separating each part by purpose:

My first trades had a lot of data, but also too much room for interpretation.
I could think a trade entry met my setup, only to discover later that a condition was missing. Or believe I was working with a 1:3 R:R when the actual calculation was different.
After 36 records, I kept modifying the spreadsheet to reduce that room for interpretation even further.
Today I finished the first public version of my Educational Trading Journal.
The idea isn’t to predict the market.
It’s something much simpler: