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.
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.
This thing is 90% stocks, 10% cash, and spiritually about 150% adrenaline. Nearly two thirds of the risk is jammed into two leveraged ETFs, while the rest of the portfolio tries to look like a respectable, diversified adult with small-cap value and a gold-plus-equity fund. It’s like wearing a suit jacket over a skydiving harness and calling it “business casual.” The structure screams growth profile but with turbo buttons pressed where a normal human would just nudge the throttle. Takeaway: if the goal is long-term compounding, mixing responsible building blocks with Vegas-leverage is a weird personality split that will eventually get tested hard.
The recent performance is frankly disgusting in the good way: about 31% CAGR versus ~20% for both US and global markets. Your $1,000 hypothetical nearly doubled to 1,930 while the benchmarks plodded to ~1,530. But the -28.9% max drawdown says the ride already tried to throw you off. CAGR (compound annual growth rate) is like average speed on a wild road trip; max drawdown is how far the car dropped off the cliff at worst. Past data is yesterday’s weather: impressive sunshine, but that drop hints the leverage wolf is already sniffing around the door.
Monte Carlo simulation is basically running thousands of “what if” market timelines using past behavior as a rough guide — like simulating 1,000 alternate universes of your portfolio. Here, the median 10-year outcome is a ridiculous 4,412% cumulative return, with even the 5th percentile at 628%. Sounds awesome… and also suspiciously like extrapolating a sugar high. All 1,000 simulations ended positive because they’re based on a short, hyper-bullish history with leveraged juice. That’s not prophecy; that’s curve-fitting optimism. Takeaway: treat those eye-watering numbers as “best-case fantasy fanfic,” not a retirement guarantee.
On paper, 90% stocks and 10% cash is a straightforward growth allocation. In reality, about a third of that equity piece is juiced with leverage, so the 90% label is a bit of a lie — risk-wise, it behaves more like a portfolio with way more than 100% equity exposure. It’s like telling your doctor you drink “socially” but leaving out that “socially” means tequila for breakfast. The missing ballast from bonds or truly defensive assets means when stocks sneeze, this portfolio is catching pneumonia. Takeaway: if you want this level of risk, fine — but at least admit it’s the “no seatbelt” version.
Sector-wise, it actually looks almost civilized: tech around the low 20s, then financials, industrials, cyclicals, and a reasonable spread across the rest. No single sector is screaming obsession. The catch: those leveraged products are tied to major indexes, which tend to be very sensitive to tech and growthy darlings even if the sector breakdown says “balanced.” So the headline allocation looks like a broad economy sampler, but the real emotional driver is whatever big growth names are doing. It’s the illusion of moderation: the menu looks balanced, but you secretly supersized the whole meal behind the counter.
Geographically, this is surprisingly sane: ~58% North America with the rest spread across developed and emerging regions. For a US-based growth setup, that’s almost… responsible. You’ve got meaningful exposure outside home turf instead of going full “America or bust.” The international small-cap value slice especially keeps it from being a purely domestic fanboy portfolio. Takeaway: this is one of the few areas where the design looks intentional and grown-up. If anything, the geographic mix is the straight-A student being dragged into detention by the leveraged troublemakers in the class.
Market cap mix is pretty healthy on paper: 27% mega, 22% big, 22% mid, 13% small, 6% micro. That’s a nice spread across the size spectrum, not some all-or-nothing bet on micro caps or megacaps. The twist is that your risk isn’t nearly as evenly spread as your weights. The leveraged ETFs tie you pretty heavily to the behavior of large-cap benchmarks, even while you sprinkle in small-cap value like seasoning. So the allocation looks democratic, but the big, benchmark-linked stuff is still running the show when markets move fast. The small guys are more garnish than main course.
The look-through shows the usual suspects: NVIDIA, Apple, Microsoft, Alphabet, Amazon, Meta, Tesla — the full Magnificent Whatever-Number-We’re-On-Now. You’re not directly stock-picking them, but your ETFs are, and they’re repeating the same names like a playlist stuck on “Big Tech Forever.” Overlap means one bad day for these giants hits several holdings at once, even if it looks diversified on the surface. And remember, this only uses top-10 ETF holdings, so true overlap is probably worse. Translation: hidden concentration in a handful of mega-names is doing more heavy lifting than the glossy ETF tickers suggest.
Factor exposure is where things get delightfully weird. You’re heavily tilted to value and quality, with decent momentum — so on paper, this looks like a sensible “good companies at decent prices that are already doing well” recipe. Factor exposure is basically the ingredient list behind performance: value, size, momentum, quality, low vol, yield. But then you slam leverage on top, which laughs in the face of your “quality” and “low vol” aspirations. Also, signal coverage is patchy, so those high value/quality scores are built on limited data. Takeaway: the factor profile says “thoughtful investor,” the leverage says “hold my beer.”
Risk contribution is the “who’s actually shaking the portfolio” metric, not just who’s taking up space. And wow: the 20% Direxion 3x S&P position is contributing almost 37% of total risk. The 15% ProShares Ultra QQQ is another 24%. Two holdings at 35% weight creating over 60% of your volatility. That’s not a portfolio; that’s two hyperactive children and a room of quietly reading adults. Risk-to-weight ratios above 1.5 mean these funds are punching way above their weight in chaos. Trimming or rebalancing those monsters would dramatically change how often this thing tries to throw you off emotionally.
Your assets aren’t just friends; some are basically clones. The international small-cap value and American Century ETF pair up closely, and your two leveraged beasts move in lockstep like a drunk three-legged race. Correlation just means how similarly things move — high correlation is everyone screaming at the same time in a crash. So while it looks like you’ve got multiple funds, a lot of them are emotionally synchronized. That limits the benefit of diversification; when things go south, “different tickers” won’t mean “different outcomes.” The portfolio is more choir than orchestra — all singing the same verse in a selloff.
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.
On the risk–return chart, your portfolio is literally leaving money on the table. The efficient frontier is the curve of “best possible tradeoffs” using just your current holdings. You’re below that curve: Sharpe ratio 1.23, while the optimal mix hits 1.87 with less risk and higher expected return. That’s like owning all the ingredients for a great meal and somehow still burning the toast. Even worse, a same-risk optimized version could push expected return from ~31% to 46% at similar volatility. Takeaway: the issue isn’t what you own, it’s how you’ve weighted it — the inefficiency is self-inflicted.
A 2% total yield is fine but nothing to brag about, especially for a portfolio this wild. Some holdings like the gold-plus-equity fund throw off a chunky yield, others like the leveraged tech exposure basically pay in heart rate spikes instead of income. Dividends are nice for smoothing the ride and providing a little paycheck, but here they’re more garnish than strategy. This setup clearly cares more about capital gains than cash flow. Takeaway: if the goal is long-term growth, that’s not wrong — just don’t pretend this is an income machine. It’s a race car with a cup holder, not a minivan.
Total TER at 0.52% is… very tolerable considering you’ve invited two expensive leveraged guests to the party at ~0.9–0.95% each. The cost drag could be a lot worse given the thrill-seeking. Fees are like friction on your compounding; small yearly cuts add up over decades. Here, you somehow avoided absolutely lighting money on fire, which is impressive for a portfolio that otherwise screams “YOLO.” Still, you’re paying a premium for leverage that might not be pulling its weight once volatility smacks returns around. If you’re going to pay champagne fees in places, make sure you’re not getting boxed wine behavior.
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