Financial Fundamentals Labels for ThinkorSwim

[merryDay]

For those questioning, why the first few weeks in January; do not reflect a score.
read more:
https://usethinkscript.com/threads/...abels-for-thinkorswim.5308/page-5#post-149985

 

[merryDay]

The deluge of the earnings will have been reported by 2/14/26
Once again, scores will be available.

For those that can't wait; here is a workaround.
These are the fundamentals that most affect the score.

Turn on only these labels.​

count up the greens == that is your score***​

​

***see below for caveats!

 

[useThinkScript]

Yes, strong fundamentals are an excellent method for stacking the deck in your favor.
But more experienced traders should apply more in-depth analysis.

At first glance, these fundamentals look awful.
But for some stocks; the story turns out to be the same one we all lived after college.

The Analogy:

Student loans → high long‑term debt​

First mortgage → negative operating margin​

Credit card balances → red ROA/ROE​

Pennies in checking → low quick ratio​

On paper, we looked terrible.

But we had solid careers:

two incomes​

cash flow covering everything​

The debt wasn’t scary — because the cash engine was stronger than the liabilities.

Moral:

When cash flow is strong, the “bad” labels don’t define the balance sheet — the trajectory does.

There are companies/sectors work the same way: high leverage, thin liquidity, ugly margins… but massive cash coming in.

That green green cash outweighs the red debt.​

The catch?

They walk a tightrope. They’re fragile, volatile, and every whisper has an explosive effect on price.​

Which is precisely why they’re on a day trader’s watchlist—high-risk, high-reward, explosive movers.

Reason #901: Why trading a small corral of stocks whose behavior and catalysts are well-understood, is the path to retail trading profitability.

The High Risk / High Reward / Big‑Cash Universe

AMZN	Massive AI‑data‑center capex, rising leverage, thin margins, huge AWS cash flow
META	Aggressive AI infrastructure spend, debt‑market unease, enormous ad cash engine
GOOGL	Heavy AI compute capex, margin compression, huge search + cloud cash flow
MSFT	Enormous AI‑data‑center buildout, rising leverage, thin cloud margins, massive cash
ORCL	Very high leverage, cloud/AI capex surge, strong enterprise cash flow
NVDA	Heavy capex commitments, liquidity tight vs scale, enormous GPU cash inflow
TSM	Gigantic fab capex cycles, high leverage, strong manufacturing cash flow
AVGO	High leverage from acquisitions + AI buildout, huge semiconductor cash engine
AMD	High reinvestment, margin pressure, thin liquidity, strong AI‑chip cash inflow
MU	Cyclical leverage, thin liquidity, volatile margins, massive memory‑AI cash cycles
RBLX	High leverage, thin liquidity, negative margins, strong recurring platform cash
UBER	Heavy debt, thin liquidity, weak margins, massive global cash inflow
LYFT	High leverage, fragile margins, thin liquidity, steady ride‑volume cash
SNAP	Ugly margins, high leverage, low liquidity, strong ad‑driven cash
PARA	Very high debt, weak margins, thin liquidity, large legacy media cash
WBD	Enormous leverage, negative margins, tight liquidity, big content cash flow
DISH	Extreme leverage, negative margins, thin liquidity, cash from legacy subs
CHWY	Thin liquidity, weak margins, high reinvestment, strong subscription cash
DKNG	High leverage, negative margins, thin liquidity, huge betting‑volume cash
AFRM	Very high leverage, negative margins, thin liquidity, strong loan‑volume cash

This is not a complete list. But it provides companies to study that then interpolate your analysis to a larger pool.