Позиція маленька. Чому ризик все одно може бути великим?
На перший погляд:
«Я відкрив позицію лише на $100. Це ж небагато».
Але сама сума позиції ще не показує реальний ризик.
Уявімо два рахунки:
$100 позиція на рахунку $10 000 → це лише 1% капіталу.
$100 позиція на рахунку $200 → це вже 50% капіталу.
Однакова позиція — але зовсім різний вплив на рахунок.
Є ще один нюанс — плече.
Позиція на $100 може бути відкритою з використанням $20 власного капіталу та плеча. Тоді навіть відносно невеликий рух ціни матиме набагато більший вплив саме на використану маржу.
Тому питання:
«Наскільки велика моя позиція?»
не завжди достатнє.
Важливіше дивитися на:
розмір позиції відносно всього капіталу; рівень плеча; скільки можна втратити при русі ціни проти тебе; умови самого інструменту.
Маленька позиція в доларах не завжди означає маленький ризик для твого рахунку.
Ризик потрібно оцінювати відносно капіталу, а не просто дивитися на цифру позиції.
If the premium is fixed upfront, is it actually the full cost of an Alpha position?
It’s easy to treat the upfront premium as the cost of the position.
After all, TermMax defines Max Cost as the upfront premium — and as the maximum possible loss of the Alpha position.
But that answers one question:
How large can the position’s loss be?
It doesn’t necessarily answer another:
What are the broader economics of holding or executing the position?
TermMax separately documents option financing.
That financing is calculated using the option’s notional value, the AMM rate and the time the position is held. The AMM-based annual rate can also adjust dynamically.
And financing isn’t the only separate mechanism. TermMax also documents transaction, execution and exit-related costs that can apply depending on the scenario.
The important distinction is not:
premium + fees = a bigger maximum loss.
That would contradict what Max Cost is designed to represent.
The distinction is:
maximum-loss boundary vs. broader economic cost structure
So knowing the maximum loss upfront does not mean every economic cost associated with holding or executing the position is fixed upfront.
The useful distinction isn't cheap vs. expensive.
It’s understanding what the upfront number actually tells you — and what it doesn't.
A fixed borrowing rate can make the debt predictable. The interesting question is whether the cheapest way to settle it stays predictable too.
In TermMax, a borrower has two repayment routes:
→ repay the debt directly with debt tokens → or buy the corresponding FT before maturity and use it to settle the debt.
That second route is where the economics get more interesting.
Before maturity, an FT can trade below its face value. And the relationship between the current market rate and the borrower's locked rate can affect whether that discount exists and how attractive the FT route becomes.
If market rates move above the rate the borrower originally locked, TermMax's documentation notes that the corresponding FT may be available at a discount, potentially making settlement cheaper.
But “potentially” matters.
The debt obligation itself hasn't changed. And a discount doesn't automatically mean the borrower saves money. The FT still has to be available at a sufficient discount for that repayment route to be economically preferable.
So fixed-rate borrowing gives you certainty about the rate.
It doesn't necessarily give you certainty about which way of settling that same obligation will be cheapest.
That distinction makes the repayment economics more interesting than the fixed rate alone.
If a bStock tracks a listed stock, is it the same financial product?
When I first looked at bStocks, I naturally made a simple connection.
If a bStock gives me exposure to a listed company, I assumed the product itself should be pretty similar to the stock I would buy through a traditional broker.
But that's where I realized I was mixing two different things.
A bStock can give me exposure to the same underlying company without being the listed equity itself.
It is a certificate product under the ADGM/FSRA framework, rather than the listed equity.
And that distinction matters.
Two products can give me exposure to the same company without being the same financial product.
That made me change the question I ask when looking at a bStock.
Not only:
“Which company am I getting exposure to?”
But also:
“What kind of financial product am I actually holding?”
I can compare the underlying exposure.
I can compare how the price moves.
But I shouldn't automatically assume that the two instruments are the same just because they give me exposure to the same company.
For me, that's one of the important distinctions to understand with tokenized assets.
Same underlying company doesn't necessarily mean the same financial product.