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Advanced AI-powered portfolio insights and analytics. ⏱️ Time to read: 4 minutes πŸ“±πŸŒ Platform: Both iOS & Web πŸ‘€ Best for: Serious traders, portfolio managers

πŸ€– What are AI Analysis Tools?

AI Analysis Tools are advanced features that use artificial intelligence to deeply analyze your portfolio beyond basic metrics. Think of them as:
  • Portfolio X-ray vision
  • Risk analyzer
  • Opportunity finder
  • Performance optimizer
Goes beyond β€œwhat” to explain β€œwhy” and β€œwhat next”

🎯 Available AI Tools

1. Portfolio Risk Analyzer πŸ›‘οΈ

What it does: Analyzes all sources of risk in your portfolio Shows you:
  • Concentration Risk - Too much in one stock/sector?
  • Volatility Risk - How much portfolio swings
  • Correlation Risk - Do your stocks move together?
  • Event Risk - Upcoming earnings, news events
  • Market Risk - Beta vs S&P 500
Access:
  • Portfolio β†’ AI Tools β†’ Risk Analysis
  • Or ask Maverick: β€œAnalyze my portfolio risk”

Example Output:
Portfolio Risk Report Overall Risk Level: MEDIUM-HIGH 🟑 Risk Breakdown:
  • Concentration: HIGH πŸ”΄
    • Tech sector: 55% (target: <40%)
    • TSLA alone: 22% (target: <20%)
  • Volatility: MEDIUM 🟑
    • Portfolio beta: 1.35 (35% more volatile than market)
    • Expected drawdown: -25% in bad market
  • Correlation: HIGH πŸ”΄
    • 7 of 10 positions highly correlated
    • Portfolio acts like a single bet on tech
  • Event Risk: MEDIUM 🟑
    • 4 positions have earnings next week
    • Total exposure: 40% of portfolio
Recommendations:
  1. Trim TSLA to 15% of portfolio
  2. Add defensive sectors (Healthcare, Utilities)
  3. Consider hedges for earnings week
  4. Diversify beyond tech

2. Performance Attribution πŸ“Š

What it does: Explains WHY your portfolio gained or lost money Breaks down performance by:
  • Stock selection (which picks worked?)
  • Sector allocation (right sectors?)
  • Market timing (good entry/exits?)
  • Position sizing (optimal sizing?)
Access:
  • Portfolio β†’ AI Tools β†’ Performance Attribution
  • Or ask Maverick: β€œWhy am I up/down this month?”

Example Output:
Performance Attribution - Last Month Total Return: +8.2% Sources of Return:
  1. Stock Selection: +5.5% βœ…
    • NVDA: +3.2% (great pick!)
    • AMD: +2.8% (solid)
    • BA: -0.5% (bad pick)
  2. Sector Allocation: +1.5% βœ…
    • Overweight Tech (was hot): +2.0%
    • Underweight Energy (was cold): +0.5%
    • Missing Healthcare (was warm): -1.0%
  3. Market Timing: +0.8% ⚠️
    • Good entries: +1.5%
    • Poor exits: -0.7% (sold AAPL too early)
  4. Position Sizing: +0.4% βœ…
    • Sized winners well
    • Could have been larger in NVDA
Key Insight: Your stock picking is strong (+5.5%). Work on exit timing to add +2-3% more.

3. Opportunity Scanner πŸ”

What it does: Finds opportunities based on your portfolio Looks for:
  • Sector gaps (what are you missing?)
  • Complementary stocks (what pairs well with holdings?)
  • Hedging opportunities
  • Rebalancing candidates
  • Tax-loss harvesting
Access:
  • Portfolio β†’ AI Tools β†’ Find Opportunities
  • Or ask Maverick: β€œWhat opportunities am I missing?”

Example Output:
Portfolio Opportunities Sector Gaps (What You’re Missing):
  1. Healthcare: 0% (S&P 500: 13%)
    • Suggested: JNJ, UNH, LLY
    • Why: Defensive, uncorrelated with tech
  2. Energy: 2% (S&P 500: 8%)
    • Suggested: XOM, CVX
    • Why: Inflation hedge, diversification
Complementary Stocks:
  • You own NVDA (chips) β†’ Consider MSFT (uses chips)
  • You own AMD (gaming) β†’ Consider TTWO, EA (game makers)
Hedging Opportunities:
  • Your portfolio beta is 1.4 β†’ Buy SPY puts to hedge downside
  • Earnings risk next week β†’ Consider VIX calls
Tax-Loss Harvesting:
  • BA is down 12% β†’ Sell for loss, buy LMT (similar)
  • Save ~$240 in taxes

4. Correlation Matrix πŸ”—

What it does: Shows how your stocks move relative to each other Why it matters:
  • High correlation = all stocks move together (high risk)
  • Low correlation = stocks move independently (diversification)
Access:
  • Portfolio β†’ AI Tools β†’ Correlation Matrix

Example Output: Correlation Matrix:
         TSLA  AAPL  NVDA  AMD   JNJ   XOM
TSLA     1.00  0.75  0.82  0.78  0.15  0.10
AAPL     0.75  1.00  0.70  0.68  0.20  0.08
NVDA     0.82  0.70  1.00  0.92  0.12  0.05
AMD      0.78  0.68  0.92  1.00  0.10  0.03
JNJ      0.15  0.20  0.12  0.10  1.00  0.25
XOM      0.10  0.08  0.05  0.03  0.25  1.00
Interpretation:
  • πŸ”΄ NVDA & AMD: 0.92 correlation (move together!)
  • 🟑 Tech stocks: 0.70-0.82 (all correlated)
  • 🟒 JNJ & XOM: Low correlation with tech (good diversifiers!)
Recommendation: You need more stocks like JNJ and XOM to truly diversify.

5. Sector Allocation Optimizer βš–οΈ

What it does: Suggests optimal sector allocation for your goals Compares:
  • Your allocation
  • S&P 500 allocation
  • Target allocation (based on risk tolerance)
Gives: Specific trade recommendations to rebalance Access:
  • Portfolio β†’ AI Tools β†’ Sector Optimizer

Example Output:
Sector Allocation Analysis
SectorYour %S&P 500 %Target %Action
Tech55%28%35%Sell 20% πŸ”΄
Healthcare0%13%10%Buy 10% 🟒
Financial10%13%12%Buy 2% 🟒
Energy5%5%8%Buy 3% 🟒
Consumer15%10%15%Hold βœ…
Other15%31%20%Buy 5% 🟒
Recommended Trades:
  1. Sell $9,000 of tech stocks (trim TSLA, AMD)
  2. Buy $4,500 healthcare (JNJ, UNH)
  3. Buy $900 financials (JPM or BAC)
  4. Buy $1,350 energy (XOM or XLE ETF)
  5. Buy $2,250 other sectors (REITs, Utilities)
Expected Result:
  • Lower volatility (-15%)
  • Better diversification
  • Reduced concentration risk
  • Similar expected return

6. Tax Optimization Tool πŸ’Έ

What it does: Finds ways to reduce your tax bill Strategies:
  • Tax-loss harvesting opportunities
  • Long-term vs short-term gains
  • Wash sale warnings
  • Optimal sell order
Access:
  • Portfolio β†’ AI Tools β†’ Tax Optimizer

Example Output:
Tax Optimization Report Current Year Tax Situation:
  • Realized Gains: +$5,200 (short-term)
  • Realized Losses: -$800
  • Net: +$4,400 taxable
  • Est. Tax Bill: ~$1,320 (30% rate)
Tax-Loss Harvesting Opportunities:
  1. BA Position
    • Unrealized loss: -$1,200
    • Sell now, reduce taxable gains to $3,200
    • Tax savings: ~$360
    • Replacement: Buy LMT (similar stock, avoid wash sale)
  2. GE Position
    • Unrealized loss: -$600
    • Sell, reduce gains further
    • Additional savings: ~$180
Total Potential Savings: $540 Long-Term Capital Gains:
  • AAPL held 11 months β†’ Wait 1 more month for long-term rate (20% vs 30%)
  • Potential savings if held: $200
Wash Sale Warnings: ⚠️ Don’t buy BA again for 30 days after selling (wash sale rule)

7. Drawdown Analyzer πŸ“‰

What it does: Shows historical portfolio drawdowns (peak-to-trough declines) Why it matters:
  • Know your worst-case scenario
  • Prepare psychologically
  • Size positions appropriately
  • Understand risk tolerance
Access:
  • Portfolio β†’ AI Tools β†’ Drawdown Analysis

Example Output:
Portfolio Drawdown History Largest Drawdowns:
  1. March 2023: -18.5% over 12 days
    • Trigger: Banking crisis
    • Recovery time: 35 days
  2. Oct 2023: -12.3% over 8 days
    • Trigger: Fed hawkish comments
    • Recovery time: 20 days
  3. Current: -3.2% from recent peak
    • Duration: 4 days
    • Historical context: Small, normal
Analysis:
  • Max drawdown: -18.5%
  • Average drawdown: -8.2%
  • Drawdown frequency: 3-4 per year
  • Recovery time avg: 28 days
Conclusion: Your portfolio typically drops 8-10% few times per year, with max drop around 15-20%. Plan accordingly.

🎯 How to Use AI Tools Effectively

Weekly Review Routine

Every Sunday (15 minutes):
  1. Run Risk Analyzer
    • Check if portfolio got riskier
    • Identify new risks
    • Make adjustments
  2. Review Performance Attribution
    • What worked last week?
    • What didn’t?
    • Learn from winners/losers
  3. Check Sector Allocation
    • Still balanced?
    • Need rebalancing?
  4. Scan for Opportunities
    • What’s missing?
    • Any good setups?

Monthly Deep Dive

Once a month (30 minutes):
  1. Run all AI tools
  2. Generate full portfolio report
  3. Make strategic adjustments
  4. Tax optimization check (if near year-end)
  5. Update investment thesis for each position

Quarterly Rebalancing

Every 3 months:
  1. Sector Allocation Optimizer
  2. Execute rebalancing trades
  3. Reset targets
  4. Update risk tolerance

πŸ’‘ Pro Tips

1. Don’t Overoptimize

AI tools are powerful, but:
  • Don’t chase perfection
  • Markets change
  • Some risk is necessary for returns
  • Focus on big risks, not tiny optimizations
Good enough > perfect

2. Combine with Your Judgment

AI tools should inform, not dictate:
  • Use tools as input
  • Apply your knowledge
  • Make final decision
  • You know your goals best

3. Track Tool Recommendations

Keep a log:
  • What did AI suggest?
  • What did you do?
  • What was the result?
Learn which tools are most valuable to YOU.

4. Use Tools Proactively

Don’t wait for problems:
  • Run Risk Analyzer monthly (not just when down)
  • Check Sector Allocation quarterly (not just when unbalanced)
  • Use Drawdown Analyzer to prepare (not just to regret)
Prevention > Reaction

❓ FAQ

Q: Do AI tools cost extra? A: Included with Super Ape subscription. Premium feature. Q: How accurate are AI recommendations? A: Data-driven and logical, but not perfect. Markets are unpredictable. Use as guidance. Q: Can AI tools auto-execute rebalancing? A: No! Tools only make suggestions. You execute manually. Q: Do I need all these tools? A: No. Start with Risk Analyzer and Sector Optimizer. Add others as needed. Q: How often should I use these? A: Risk Analyzer monthly. Others as needed or quarterly. Q: Are these tools for beginners? A: Advanced features. Beginners should focus on Ask Maverick first, then graduate to these tools.

What’s Next?

Master Portfolio Management: Apply in Workflows:
AI Portfolio Tools = Professional-Level Analysis in Your Pocket! πŸ€–πŸ“Š