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I used to think a stock falling 30% automatically meant it was riskier than one that only moved 5%.

But the more I think about it, the more complicated investment risk seems.

Imagine two stocks. One falls 30% in a few weeks, but the company's business is still doing well. It's still making money, bringing in customers, managing its debt and growing. The reasons you bought it haven't really changed.

The other barely moves, but the company is struggling to make money, carrying a lot of debt, losing customers and finding it harder to grow.

Which one is actually more risky?

That's where I think stock risk gets interesting.

A falling stock can look scary, but price movement is only one part of evaluating the risk of an investment.

There is business risk which is quite simple to understand.

There is fundamental risk, which is basically the risk that the underlying business isn't as strong as you think it is.

Is the company making money?

Is its revenue growing?

Can it handle its debt?

Is it gaining or losing customers?

Is the business actually getting stronger over time?

These are some of the things investors can look at when trying to understand the fundamentals of a company.

There is valuation risk too. You can have a great company, but if you pay far more for the stock than the business is worth, the investment can still carry a lot of risk.

Then there is concentration risk, market risk and the uncertainty that comes with not knowing what could happen next.

So when you're trying to evaluate investment risk, what are you actually looking at?

How much the stock can fall?

How volatile it is?

How healthy the business is?

Whether the stock looks expensive?

Or how much could realistically go wrong?

I've started to think that looking at risk without understanding the context behind it doesn't tell you the whole story.

That's also why I think tools like Epsilo can be useful. Instead of looking at risk as just another number, you can dig deeper into the factors affecting an investment and explore where the potential risks are coming from.

Because a stock falling 30% isn't necessarily the biggest risk.

Sometimes, the bigger risk is not knowing why you own it in the first place.

How do you personally evaluate the risk of a stock or investment before deciding to buy it?

Hey everyone,
I’ve been diving into market structures and Elliott Wave Theory recently to make sense of the AI hype, corporate CapEx spending, and semiconductor valuations.
When you look at the entire AI rally through an Elliott Wave lens, we aren't necessarily at the "crash" phase yet. Instead, we appear to be sitting right in a classic 5-Wave Impulse Structure. Here is the breakdown:
🌊 The 5 Waves of the AI Boom
1. Wave 1 (Late 2022 – Early 2023): The Catalyst & Skepticism
Trigger: ChatGPT launch and initial generative AI breakthroughs.
Psychology: Skepticism was rampant, and monetization was unproven. Early accumulation started in tech/chips (Nvidia, Microsoft, Big Tech).
2. Wave 2 (Mid to Late 2023): The Shakeout
Psychology: A shallow, corrective pullback driven by profit-taking and valuation fears. Shook out weak hands, but held well above Wave 1 lows.
3. Wave 3 (2024 – Early 2025): Institutional Megawave
Psychology: The longest, most aggressive leg. Driven by massive corporate CapEx spending (hyperscalers dropping billions on data centers and GPUs), record earnings beats, and aggressive institutional FOMO.
4. Wave 4 (Current Phase): Consolidation & ROI Scrutiny
Psychology: This is where we are now. Wave 4 is notoriously frustrating—it’s sideways, high-volatility chop. Investors are asking: "Where is the actual ROI on all this CapEx?"
Technical signs: Volume is contracting relative to Wave 3, and price is oscillating in a broad range without breaking down below Wave 1 levels.
5. Wave 5 (The Future): The Euphoria / Blow-Off Top?
Psychology: Once Wave 4 consolidation completes, Wave 5 typically brings one final, speculative push upward—often fueled by retail FOMO, narrative momentum, and maximum market exuberance, before a major A-B-C structural correction sets in.
🛠 What I’m Watching Next
Wave 4 Invalidation: If Big Tech stock indices break key structural support levels (overlapping Wave 1 territory), the count breaks, suggesting we might already be in an A-B-C correction.
RSI/MACD Divergence: Looking to see if a Wave 5 breakout happens on weaker volume/momentum (a classic warning signal of a final top).
What do you guys think? Are we in the sideways chop of Wave 4 before one final Wave 5 leg up, or has the AI infrastructure play already peaked? Let’s debate in the comments! 👇

Every thread repeats 'not your keys, not your coins' like a rule, and I get the philosophy behind it. But spending $100 on a hardware wallet to protect a $300 or $500 position feels backwards, especially when on-chain transfer fees eat into every single move you make.

For people holding smaller amounts, where do you draw the line? Below what threshold is it actually safer and cheaper to keep an active balance on an exchange with 2FA enabled, rather than risking seed phrase mistakes?

And how do you feel about them, now, and moving forward?

Hello, I am looking for a book that explain the different financial markets (equities, bonds, commodities etc), how they affect each other and when is one preferred over the other.

Thanks.

I would like to learn how some stocks performance can affect market sentiment and how it can create a bullish/bearish narrative. I know the basics such as revenue and Capex but I would like to know the weight of this data and which stock would actually cause a significant change in the market.

 P/E Ratio floundering….as an investment metric?

Price / Earnings (P/E) ratio, along with other price relative valuation metrics, used to be an important investment metric in choosing equities investment… the higher it is, the more cautious you should be. Simplistically, it's the  inverse of the basic Return on Investment (%) metric that we all use for all types of investments. Flip the P/E and you get your Earnings Yield: (% return). A P/E of 20 is an Earnings Yield (E/P) of 5% per annum. Find below a sample P/E list of the Magnificent-7 and the popular indexes ETFs with their corresponding Earnings Yields in today's market (closing October 13 2026).

Name

P/E

Earnings yield

Alphabet (GOOGL)

17.70

5.65%

Amazon (AMZN)

20.87

4.79%

Nvidia (NVDA)

28.90

3.46%

Meta (META)

28.00

3.57%

Microsoft (MSFT)

30.28

3.30%

Apple (AAPL)

39.12

2.56%

Tesla (TSLA)

389.33

0.26%

SPY (S&P 500)

25.15

3.98%

DIA (Dow)

21.74

4.60%

QQQ (Nasdaq-100)

29.42

3.40%

Tesla is 0.26% for God's sake! Granted there are all sorts of non-cash, non-operating, non-continuing entries that need adjustment for P/E valuation hence “phantoms” of Price/EBITDA, Price/Operating Cashflow, Price/Sales etc, but at the end of the day, net sustainable earnings and operating cashflows are key.

So, why are we investing in yields below “risk-free” Treasuries (current “10-year"s yielding about 5.2%). You know why? It's liquidity gone amok.. And what's amok liquidity in the stock market? It is simply the prayerful belief that someone is going to buy this stock off me (at a profit from me) irrespective of the nonsensical price/valuation. Don't worry. Wall Street is always at the ready to help you there… an immense liquidity harvesting machine to push prices, Wall Street, that is!. Beware of dark clouds in the horizon