#bstockscis
#bStocksCIS
@BinanceCIS
šŸ“Š 99% of deals can be fractional — but that doesn’t mean 99% of money is ā€œsmallā€

There’s one detail in bStocks statistics that made me look at trading volume a bit differently.

Tesla is a good example.

In early data, about 99.65% of TSLAB deals by number were fractional.

The first reaction might be:

ā€œAlmost everyone buys with very small amounts.ā€

But it’s not quite like that.

If you look not at the **number of deals**, but at the **trade value**, the picture changes: fractional deals accounted for about 88.5% of the total trading volume for TSLAB.

Why does this matter?

Because one metric shows **frequency**, while the other shows **the money that actually went through the market**.

Let’s imagine:

100 deals for $10 = $1,000

and

1 deal for $1,000 = also $1,000.

By number of deals, the first group looks 100 times more active.

By value, they’re the same.

That’s why I’m more cautious now with phrases like ā€œmost traders make small deals.ā€

First, you need to ask:

**ā€œMost by number or by money volume?ā€**

šŸ“š Practical takeaway:

When analyzing any market, don’t rely on a single number.

Trade count, trading volume, and average trade size can tell completely different stories.