Roast mode 🔥

Meme stock thrill ride disguised as an investment plan with a faint death wish vibe

Report created on Apr 7, 2026

Risk profile

  • Secure
    Speculative

The risk profile, derived from past market volatility, reflects the level of risk the portfolio is exposed to. This assessment helps align your investments with your financial goals and comfort with market fluctuations.

Diversification profile

  • Focused
    Diversified

The diversification assessment evaluates the spread of investments across asset classes, regions, and sectors. This ensures a balanced mix, reducing risk and maximizing returns by not concentrating in any single area.

Positions

Portfolio composition first: this isn’t a portfolio so much as a two-horse parlay ticket. Half in AMC and half in GameStop is basically saying “I like my wealth highly flammable.” Diversification score claiming “Moderately Diversified” is unintentionally hilarious here; owning two different memes is not diversification, it’s just variety in the disaster scenarios. Structurally, everything depends on two companies whose entire recent history is a case study in crowd psychology, not steady business progress. Takeaway: if most of the outcome comes from two coin flips, you’re not investing, you’re running a social-media-dependent science experiment with your net worth as the lab rat.

Growth Info

Historically, $1,000 crawling to $1,982 over a decade with 7.11% CAGR sounds okay until you see the US market more than doubled that growth rate. You basically took rollercoaster-level pain to end up with boring-bond-level-ish returns. Max drawdown of almost -90% is “portfolio nearly vaporized” territory: 40 months falling, then 10 months clawing back, like tumbling down a cliff and taking the stairs up. The market fell about a third in its worst moment; you went nearly all the way to zero. Past data isn’t prophecy, but when you underperform the boring index by 7% per year while risking everything, that’s an ugly trade.

Projection Info

Monte Carlo simulation is basically running thousands of alternate-universe timelines to see how often things end well. Here, the median 15‑year outcome is $2,637 from $1,000, which sounds decent until you notice how wide the spread is: in rough cases you barely beat cash, in good ones you 7x. That wide “possible range” is the model quietly screaming, “Anything could happen.” Past stats power these simulations, but they’re yesterday’s weather, not a forecast — especially for meme-driven names. Takeaway: this is a high-uncertainty bet where outcome depends less on fundamentals and more on whether the crowd shows up for another sequel.

Asset classes Info

  • Stocks
    100%

Asset classes: 100% stocks, 0% everything else. No bonds, no cash buffer, no diversifiers, just pure equity adrenaline. Being all in stocks can make sense for someone young with a long horizon, but being all in two circus acts is a different story. You’ve maxed out the “risk” slider and then jammed it further with extremely volatile names. In a normal stock portfolio, other asset classes act like airbags; here, there are no airbags, no seatbelt, and the car is already on fire. Takeaway: if one asset class is going to carry everything, at least spread the load across more than two shoulders.

Sectors Info

  • Telecommunications
    50%
  • Consumer Discretionary
    50%

Sector split says 50% Telecommunications and 50% Consumer Discretionary, which is technically true in a database way and practically useless in a real-world way. This isn’t thoughtful sector tilting; it’s just where the meme darts happened to land. Sector labels suggest you’re balancing communications with cyclical spending, but in practice you’re balancing one turnaround story against another. If either sector faces pressure, there’s no offset from health, staples, or anything boring and stable. Takeaway: sector exposure only helps when it’s planned, not when it’s just the side effect of chasing internet-famous tickers.

Regions Info

  • North America
    100%

Geographically, it’s “USA or bust,” and given the picks, you’re leaning hard on the “bust” part. Again, being US-heavy is extremely normal; being 100% US in two structurally challenged, hype-driven names is not. The rest of the world’s markets, currencies, and economic cycles are completely ignored. If US consumer trends shift, regulation bites, or these business models keep struggling, everything in this setup feels it at once. Takeaway: ignoring global diversification is like only eating one kind of food — you might be fine for a while, but any problem with that source hits you straight in the stomach.

Market capitalization Info

  • Large-cap
    50%
  • Small-cap
    50%

Market cap mix says 50% large-cap and 50% small-cap, which sounds like a nicely balanced barbell until you remember which names we’re talking about. Large-cap here doesn’t mean “stable titan”; it just means “big enough to have a very public meltdown.” Small-cap adds usual extra volatility and sensitivity to sentiment. So you’ve built a fake sophistication veneer: technically diversified by size, practically just exposed to two flavors of drama. Takeaway: size categories only help when they’re spread across many businesses, not when you slap “large-cap” on something and pretend it’s suddenly safe.

Factors Info

Value
Preference for undervalued stocks
High
Data availability: 100%
Size
Exposure to smaller companies
Neutral
Data availability: 100%
Momentum
Exposure to recently outperforming stocks
Very low
Data availability: 100%
Quality
Preference for financially healthy companies
Neutral
Data availability: 100%
Yield
Preference for dividend-paying stocks
No data
Data availability: 0%
Low Volatility
Preference for stable, lower-risk stocks
Very low
Data availability: 100%

Factor exposures are estimated using statistical models based on historical data and measure systematic (market-relative) tilts, not absolute portfolio characteristics. Results may vary depending on the analysis period, data availability, and currency of the underlying assets.

Factor exposure is where the chaos gets a bit of structure. You’ve got high value exposure (67%), which usually means “cheap versus fundamentals,” but with meme names that can just mean “market deeply skeptical.” Momentum is very low (20%), so you’re not surfing current trends; you’re clinging to fallen darlings the crowd mostly moved on from. Low volatility at 10% is comical — you’re intentionally tilted away from stability like it’s a bad habit. That combo says: “I like beaten-up, shaky names and I’m fine if they swing like a wrecking ball.” Takeaway: leaning into low momentum and anti-stability is basically stress as an investment strategy.

Risk contribution Info

  • AMC Entertainment Holdings Inc
    Weight: 50.00%
    55.6%
  • GameStop Corp.
    Weight: 50.00%
    44.4%

Risk contribution shows which positions actually drive the portfolio’s mood swings. AMC at 50% weight contributes about 56% of total risk, so it’s slightly over-pulling the chaos. GameStop chips in the other 44%, meaning both are heavy hitters, but AMC is the drama lead. Risk contribution is like asking, “Who’s shaking the table?” — and in this room, it’s everyone. Takeaway: when a single name is driving more risk than its weight, trimming it slightly or pairing it with calmer holdings can dial down the heart-attack potential without totally abandoning the thesis.

Risk vs. return

This chart shows the Efficient Frontier, calculated using your current assets with different allocation combinations. It highlights the best balance between risk and return based on historical data. "Efficient" portfolios maximize returns for a given risk or minimize risk for a given return. Portfolios below the curve are less efficient. This is informational and not a recommendation to buy or sell any assets.

Click on the colored dots to explore allocations.

The efficient frontier chart is brutally honest: for the amount of risk you’re taking (114% volatility), your Sharpe ratio of 0.36 lags far behind what’s possible with the same two holdings rejigged. Higher Sharpe just means more return per unit of pain, and the “optimal” mix gets to 0.62 without even adding new names. Being 22.68 percentage points below the frontier is the math version of “you’re doing this the hard way.” Takeaway: even if you’re weirdly committed to just AMC and GameStop, a smarter weighting could squeeze more return from the same circus, instead of paying full price for subpar thrills.

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