Track Holdings. Analyze
Exposure. Model Risk.
Make Better Portfolio
Decisions.
Go beyond generic portfolio software. Get institutional-grade analytics, multi-asset research, and Tom Lee's macro frameworks to manage client portfolios with confidence.
You're not just an advisor—you're a portfolio manager. Your clients expect sophisticated asset allocation, risk management, and tactical positioning. But most advisor platforms give you basic reporting tools, not real portfolio analytics. Fundstrat AI gives you institutional-grade research, multi-asset analysis, and AI-powered insights to manage portfolios like a $10B asset manager—without the $10B infrastructure.
You Manage Portfolios Like an
Institution. Your Tools Don't.
Portfolio Software Shows
Performance, Not Insights
Your current platform shows what happened. It doesn't help you understand why or what to do next. You need factor exposure, correlation analysis, attribution—not just returns.
Lack of Macro Context for
Portfolio Decisions
You adjust sector weights based on market conditions. But pulling macro research, economic data, and expert outlook takes hours. By the time you synthesize it, the market has moved.
Asset Allocation Decisions
Lack Analytical Rigor
You know you should rebalance. But how much? Based on what? You need scenario analysis, correlation breakdowns, and risk modeling—not gut feel.
Can't Explain Portfolio
Positioning with Data
Client: "Why are we overweight healthcare?" You: "It's defensive." Client: "Show me." You don't have the charts, historical analysis, or comparative data at your fingertips.
Portfolio Management Powered
by Institutional Research
Tom Lee's Macro
Frameworks
S&P 500 targets, sector outlooks, Fed policy analysis
Multi-Asset
Analytics
Stocks, bonds, commodities, crypto, FX—unified analysis
Portfolio
Holdings Upload
Import all client holdings, track every position automatically
AI Portfolio
Assistant
Ask: "What sectors outperform when oil rises?" Get instant analysis
Automated
Monitoring
Chartbooks
Schedule daily/weekly tracking of all holdings
Custom
Annotations
Set price levels, alerts, and monitoring points on any holding
Holdings-Specific
AI Reports
Get news, trends, and analysis for your exact positions
Correlation &
Attribution
Understand what's driving
portfolio performance
Scenario
Modeling
Model portfolio impact of macro events
100+ Annotated
Charts
Expert commentary on sectors, assets, and positioning
Daily Market
Data
Morning briefings with futures, commodities, global markets
Your Complete Portfolio
Management Stack
Fundstrat Annotations - Your Macro Research Desk
How You Use It:
- Start every portfolio review with Tom Lee's S&P 500 outlook
- Start every portfolio review with Tom Lee's S&P 500 outlook
- Use sector annotations to inform rotation decisions
- Reference technical levels from Mark Newton for entry/exit points
- Cite Fundstrat research in investment committee memos
Your Quarterly Portfolio Review Process:
- Monday: Review Tom Lee's latest S&P 500 target and macro outlook
- Tuesday: Check sector annotations - which sectors are Fundstrat bullish/bearish on?
- Wednesday: Review Mark Newton's technical support/resistance levels for timing
- Thursday: Investment committee - present Fundstrat frameworks + your positioning
- Friday: Implement portfolio changes across client accounts
Example Decision Flow:
- Tom Lee projects S&P 500 to 6,500 (bullish)
- Sector analysis shows energy and healthcare strength
- Mark Newton identifies tech sector support level
- Your decision: Maintain equity exposure, rotate from tech to energy
- Portfolio implementation: Sell QQQ, buy XLE across models
Why It Works:
Every portfolio decision is backed by institutional research. Not guessing. Not following trends. Evidence-based positioning.
Portfolio Alpha:
+1.2% annual outperformance attributed to tactical positioning
Portfolio Holdings Tracking & Monitoring -
Never Lose Track of Any Position
How You Use It:
- Upload all client portfolio holdings (CSV from custodian)
- Automatically track every stock position across all client accounts
- Schedule daily or weekly monitoring chartbooks
- Set custom annotations for price levels, support/resistance, target prices
- Get AI-generated reports on holdings-specific news and trends
Your Portfolio Upload System:
Step 1: Import Holdings
- Export holdings from your portfolio management system (Black Diamond, Orion, Tamarac)
- Upload CSV file: Client name, ticker, shares, cost basis, current value
- System maps all positions automatically
- Result: Every holding tracked in real-time
Step 2: Create Monitoring Chartbooks
- Build "Growth Model Holdings" chartbook (30 stocks)
- Build "Balanced Model Holdings" chartbook (40 stocks)
- Build "Conservative Model Holdings" chartbook (25 stocks)
- Build "Individual Client Holdings" chartbooks (high-net-worth clients with custom positions)
Step 3: Schedule Automated Updates
- Daily Monitoring: All holdings updated with current prices every morning at 7 AM
- Weekly Summary: Performance summary chartbook generated every Friday at 4:30 PM
- Monthly Deep-Dive: Comprehensive holdings analysis on last business day of month
Your Custom Annotations
Price Level Monitoring:
- AAPL: Annotate support at $165, resistance at $180
- MSFT: Annotate buy-more level at $380, take-profit at $440
- NVDA: Annotate stop-loss at $700, target at $1,000
Portfolio Manager Notes:
- "Watching for breakout above $150" (annotation on chart)
- "Consider trimming if hits $200" (alert annotation)
- "Strong support here - add on weakness" (monitoring note)
Your Workflow:
- Monday morning: Check automated weekend chartbook of all holdings
- Review any positions that hit annotation levels
- Add new annotations: "GOOGL approaching resistance at $145"
- Set alert: "Notify me if TSLA breaks below $180"
- Throughout week: Automated chartbooks update daily
- Friday: Review weekly performance chartbook
AI Holdings Reports
Portfolio-Specific Intelligence:
- You: "Give me news and trends for all holdings in my Growth Model"
- AI: Generates comprehensive report:
- AAPL: iPhone 16 sales beating expectations, analyst upgrades
- MSFT: Azure growth accelerating, AI partnerships expanding
- GOOGL: Ad revenue recovery, Gemini AI gaining traction
- NVDA: Data center demand strong, new chip launches - [Analysis for all 30 holdings]
- You: "Which of my holdings have negative news this week?"
- AI: Identifies 3 stocks with concerning developments, provides details
- You: "Show me technical breakouts in my portfolio"
- AI: Highlights 5 positions breaking through resistance levels
- You: "Any holdings approaching earnings?"
- AI: Lists 8 positions with earnings in next 2 weeks, historical earnings patterns
Your Investment Committee Prep:
- Monday: Upload updated holdings (5 min)
- Tuesday: Review automated monitoring chartbook (15 min)
- Wednesday: Ask AI for holdings-specific intelligence (10 min)
- Thursday: Create IC presentation showing positions that need attention (30 min)
- Friday: IC meeting - discuss positions flagged by monitoring system
Real-World Example
Position: Apple (AAPL) - 10,000 shares
across Growth Models
- Upload holdings: AAPL tracked automatically
- Set annotations:
- - Support: $165 ("Add to position")
- - Current: $172
- - Resistance: $180 ("Take partial profits")
- - Target: $195 ("Full profit-taking consideration")
- Schedule: Daily monitoring chartbook updates price vs. annotations
- Wednesday: AAPL hits $180 resistance
- Alert triggers: "AAPL at resistance level"
- Ask AI: "What's driving AAPL strength today?"
- AI reports: "iPhone sales data beat estimates, 3 analyst upgrades"
- Decision: Hold through resistance given positive catalysts
- Update annotation: "Watching for breakout above $180"
Portfolio Control:
Track every position, never miss a price level, always informed
Holdings-Specific AI Intelligence
Your Daily Holdings Questions:
"Any unusual volume in my holdings today?"
AI: "Yes, XYZ Corp up 45% volume - merger rumors circulating"
"Show me year-to-date performance of all my healthcare holdings"
AI: Generates comparison chart of all healthcare positions
"Which holdings are below their 50-day moving average?"
AI: Lists 7 positions with technical weakness, suggests review
"Compare my tech holdings to sector performance"
AI: Shows each position vs. XLK (Tech ETF) - identifies laggards
"What percentage of my portfolio is in stocks hitting 52-week highs?"
AI: "18% of holdings at 52-week highs - here's the breakdown..."
Weekly Holdings Intelligence Report (Automated)
Your Daily Holdings Questions
Every Friday at 4 PM, AI generates:
- Best Performers: Top 10 holdings this week
- Worst Performers: Bottom 10 holdings this week
- News Highlights: Material news for any holding
- Technical Signals: Breakouts, breakdowns, support/resistance hits
- Earnings Calendar: Upcoming earnings for holdings
- Analyst Activity: Upgrades/downgrades on holdings
- Sector Rotation: How your holdings fit current market leadership
Decision Support:
AI monitors your exact positions, reports what matters
Multi-Asset Coverage - Analyze Entire Portfolios
How You Use It:
- Track correlations between stocks, bonds, gold, commodities
- Understand portfolio diversification in real-time
- Model multi-asset allocation scenarios
- Analyze currency impacts on international holdings
Your Quarterly Portfolio Review Process:
- 60% Equities (US large-cap, international, small-cap)
- 30% Fixed Income (treasuries, corporates, munis)
- 5% Alternatives (gold, commodities)
- 5% Cash
Your Multi-Asset Workflows
Correlation Analysis:
- Ask AI: "Show correlations between S&P 500, bonds, gold, and oil over last 3 years"
- AI generates correlation matrix
- Identify: "Stocks-bonds correlation turned positive (diversification breakdown)"
- Portfolio response: Increase gold allocation as diversifier
Cross-Asset Positioning:
- Tom Lee bullish on equities
- Fundstrat shows inflation stabilizing
- You analyze: What does this mean for bonds? Gold? Commodities?
- AI: "Show historical pattern when stocks rally and inflation falls"
- Decision: Maintain stocks, reduce gold, increase duration in bondsersifier
Currency Impact Analysis:
- Client has 20% international equity exposure
- Dollar strengthening (+5% last quarter)
- Ask AI: "How does dollar strength impact international returns?"
- AI shows historical relationship
- Explain to client: "Your international holdings underperformed partly due to FX headwinds"
Risk Management:
Understand true portfolio diversification, not just asset class mix
AI Market Intelligence - Your Portfolio Research Assistant
How You Use It:
- Ask complex portfolio questions, get instant data-backed answers
- Research historical patterns for tactical decisions
- Compare asset classes and sectors
- Model portfolio scenarios
Your Investment Committee Questions:
Question 1: Sector Rotation Decision
- You: "Compare healthcare vs technology sector performance during Fed rate cuts"
- AI: Generates comparative analysis with 6 charts showing historical patterns
- Result: Data-backed decision on sector rotation
Question 2: Defensive Positioning
- You: "What sectors outperform during market corrections?"
- AI: Shows sector performance during last 10 corrections (-10%+)
- Result: Informed defensive positioning (healthcare, utilities, consumer staples)
Question 3: International Allocation
- You: "Compare US vs international equity valuations historically"
- AI: Generates valuation comparison (P/E ratios, CAPE, forward P/E)
- Result: Tactical overweight/underweight decision with supporting data
Question 4: Fixed Income Strategy
- You: "How do investment-grade bonds perform when Fed starts cutting rates?"
- AI: Shows historical bond returns in rate-cutting cycles
- Result: Duration positioning strategy
Time Savings:
12 hours/week on portfolio research (vs. manual data gathering)
AI Chart Generator - Visualize Portfolio Decisions
How You Use It:
- Create custom portfolio analysis charts
- Compare holdings and benchmarks
- Visualize sector exposure and attribution
- Generate "what if" scenario charts
Your Multi-Asset Workflows
Sector Exposure Analysis:
- "Chart my portfolio sector weights vs S&P 500 weights"
- Shows over/underweight positions visually
- Helps explain portfolio tilts to clients
Attribution Analysis:
- "Show which sectors contributed to portfolio outperformance"
- Identifies what worked (and what didn't)
- Informs future positioning
Scenario Modeling:
- "Chart portfolio performance if tech falls 10%"
- Models risk scenarios before they happen
- Helps with position sizing
Correlation Breakdown:
- "Visualize correlation between my top 10 holdings"
- Identifies concentration risk
- Informs diversification decisions
Portfolio Transparency:
Clients see exactly how portfolios are positioned and why
Chartbook Builder - Portfolio Review Presentations
How You Use It:
- Investment committee meetings: Strategy review presentations
- Client portfolio reviews: Custom performance and positioning decks
- Prospect pitches: "Our Investment Process" presentations
- Board meetings: Portfolio oversight reporting
Your Investment Committee Deck (Monthly)
- Cover: Investment Committee Meeting - January 2026
- Executive Summary: Key decisions and rationale
- Macro Outlook: Tom Lee's S&P target, Fed policy, economic indicators (3 slides)
- Asset Class Review: Equities, bonds, alternatives performance (4 slides)
- Sector Analysis: Current positioning and changes (5 slides)
- Holdings Performance: All positions tracked with annotations (4 slides)
- Portfolio Models: Performance vs benchmarks (3 slides)
- Risk Analysis: Volatility, drawdowns, correlations (3 slides)
- Decisions: Tactical changes and implementation (2 slides)
- Outlook: Next month expectations (1 slide)
Scheduled Holdings Monitoring Chartbooks
Daily Updates (7:00 AM):
- All Growth Model holdings (30 stocks) - auto-updated
- All Balanced Model holdings (40 stocks) - auto-updated
- All Conservative Model holdings (25 stocks) - auto-updated
- High-net-worth custom portfolios - auto-updated
- Annotations show if any price levels hit overnight
Weekly Summaries (Friday 4:30 PM):
- Complete performance summary across all holdings
- Winners/losers of the week
- Annotation levels hit during the week
- Holdings requiring attention
- Delivered to your inbox automatically
Your Investment Committee Deck (Monthly)
- Welcome: Client name and quarter
- Performance: Returns vs benchmarks (2 slides)
- Market Overview: What happened in markets (3 slides with Fundstrat annotations)
- Portfolio Positioning: Sector exposure and changes (2 slides)
- Attribution: What drove performance (2 slides)
- Outlook: Next quarter expectations (2 slides)
- Questions: Discussion
Build Time:
- IC presentation: 45 min (used monthly, updated with fresh data)
- Client review: 20 min (template-based, customized)
Professionalism:
Institutional-quality presentations at every client interaction
Reporting Powered by AI - Investment Memos & Commentaries
How You Use It:
- Write investment committee memos documenting decisions
- Create monthly portfolio commentaries for clients
- Generate allocation change rationale documents
- Produce quarterly strategy outlook reports
Your Investment Committee Memo Template
- Subject: IC Decision - Increase Energy Sector Allocation
- Date: January 15, 2026
- Decision: Increase energy sector weight from 5% to 8% across growth models
Rationale:
- Macro Context: Oil prices up 15% on supply constraints (reference Fundstrat commodities analysis)
- Historical Pattern: Energy outperforms when oil rises (AI-generated analysis)
- Valuation: Energy sector P/E at 12x vs S&P 500 at 21x (relative value)
- Technical: Broke above resistance at $85 (Mark Newton annotation)
Risk Considerations:
- Energy volatility higher than market
- Geopolitical risk (Middle East tensions)
- Size position at 8% (not 10%+) to manage concentration
Documentation:
Every portfolio decision documented and explained
AI Research (Daily Briefings) - Start Every Day Informed
How You Use It:
- 6:45 AM: Check Overnight Key Levels before market open
- Know S&P futures, global markets, commodities, treasuries
- 4:05 PM: Review Market Wrap for sector performance and breadth
- Save weekly for pattern recognition
Your Daily Portfolio Manager Routine
Morning (6:45 AM - 7:00 AM):
- Check Overnight Key Levels on phone
- Note: S&P futures, oil, gold, bitcoin, treasury yields
- Identify: "Oil +2%, S&P futures +0.4% - energy strength continues"
- Mental note: "Watch energy sector for overweight confirmation"
- Ready for 8 AM team meeting
Market Close (4:05 PM - 4:15 PM):
- Review Market Wrap
- Check sector performance: Energy +1.8%, Tech -0.5%
- Check breadth: 60% of stocks up (healthy)
- Save insights for tomorrow's decisions
Weekly Pattern Recognition:
- Review all 5 Market Wrap emails from the week
- Identify themes: "Healthcare outperformed 4 out of 5 days"
- Ask AI: "Why is healthcare outperforming?"
- Generate analysis, present to IC next meeting
Preparedness:
Never caught off-guard by market moves. Always informed.
White-Label Branding - Institutional Presentation
How You Use It:
- Client-facing materials carry your firm brand
- Investment committee presentations use firm templates
- Portfolio commentaries look internally produced
- Professional appearance = institutional credibility
Your Brand Strategy:
- Full white-label for client materials (no Fundstrat visible)
- Co-branded for prospect materials ("Powered by Fundstrat" adds credibility)
- Consistent logo, colors, fonts across all outputs
Documentation:
Clients and prospects see you as having institutional infrastructure. "They have research capabilities and portfolio analytics" is the perception. That's the reality—you do. You just didn't build it yourself.
Frequently Asked Questions
No. This complements your PM system (Black Diamond, Orion, Tamarac). You use Fundstrat AI for research, analysis, and decision-making. Your PM system handles execution, reporting, and operations.
No. Fundstrat provides macro outlook, sector frameworks, and technical analysis. You make portfolio decisions. This is research infrastructure, not a signal service.
Yes. Many TAMPs use Fundstrat AI for model construction and IC decision support. The research informs tactical tilts across all client accounts.
You ask plain English questions: "Compare sector performance during Fed rate cuts." AI provides institutional-grade analysis with charts. No technical skills required.
Enterprise plans include API access and custom integrations. Talk to sales about specific requirements.
This is designed for fundamental, macro-driven portfolio management. Quantitative firms may find it useful for macro overlays, but it's not a quant backtesting platform.
