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AI Tools for Hedge Fund Managers
AI tools that help hedge fund managers research investment themes, monitor portfolio risk, screen regulatory history, and prepare investor letters.
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San Francisco Vacancy
36% — 20-year high
Manhattan Vacancy
22% — 20-year high
2025–2026 Debt Maturities
$54B refinancing at 7–8% (was 3–4%)
SL Green LTV
48% · Debt/EBITDA 9.2x — highest stress
Vornado Dividend
Cut 29% in 2023 — distress signal
Long and short investment thesis development
Build investment theses for long and short positions with synthesized research across SEC filings, competitive dynamics, and macro context. Generate a first-draft investment memo in minutes rather than days.
Build a short thesis on US commercial office REITs. I want vacancy rates by major market, refinancing risk on 2025–2026 debt maturities, names with highest leverage, and any recent dividend cuts as distress signals.
Compiled 6-section memo. Vacancy: San Francisco 36%, Chicago 26%, Manhattan 22% (all 20-year highs). Debt maturities: $54B in office REIT debt due 2025–2026 at rates originally set at 3–4%, now refinancing at 7–8%. Most stressed: SL Green (LTV 48%, debt/EBITDA 9.2x), Vornado (cut dividend 29% in 2023), Columbia Property Trust (taken private after distress). Highest-conviction short: SL Green and Vornado. Risk: NYC office recovery in financial district.
ToolRouter research
Vacancy — San Francisco
36% · 20-year high
Vacancy — Chicago
26% · 20-year high
Vacancy — Manhattan
22% · elevated
2025–26 Maturities
$54B refinancing at 7–8%
Highest Conviction Short
SL Green & Vornado
ToolRouter get_filing
MetricFy 2024Fy 2023
Total Debt$5.8B$5.4B
Debt/EBITDA9.2x8.1x
LTV48%43%
Occupancy Rate87.4%91.2%
Source: SEC 10-K filed Mar 1 2025
Daily portfolio and risk monitoring
Run the morning portfolio risk check — pull overnight price moves for all positions, flag anything that moved more than 4%, check macro conditions, and confirm gross and net exposure are within limits.
Morning risk check: pull prices for our top 10 longs and 5 shorts. Flag any that moved more than 5% from yesterday. Show me the current VIX and 10-year Treasury yield.
Flagged 2 moves: NVDA +6.2% (earnings beat overnight — positive for our long, consider partial trim). SLG -4.8% (NYC office data worse than expected — short thesis continuing to work). Other 13 positions within normal range. VIX: 18.4 (calm). 10Y Treasury: 4.41% (up 4bp). No stop-loss triggers hit. Net exposure: 42% long (within 30–60% target range).
ToolRouter get_quote
TickerPrice1d change
NVDA$892.40+6.2%
SLG$41.82-4.8%
MSFT$415.20+0.4%
JPM$198.60-0.8%
VIX 18.4 · 10Y Treasury 4.41% · 2 of 15 positions flagged
ToolRouter create_chart
Gross Exposure %
Net Long %
Pre-investment regulatory screening
Before adding a new position, screen the company and its management for SEC enforcement history, shareholder class actions, and FINRA violations. Catch regulatory landmines before they surface in the stock.
Before we size up our long in Evolent Health (EVH), screen the company and CEO for any SEC, DOJ, or state insurance regulatory actions. Also check for shareholder class action lawsuits.
Evolent Health: 1 SEC comment letter (2022, routine accounting inquiry — closed with no action). No enforcement actions against CEO or management. Shareholder class action: filed 2023 related to forward guidance — settled for $7.5M in Feb 2024 (immaterial). No regulatory disqualification concerns. Company holds state insurance licenses in 32 states — check DOI licenses separately for disciplinary history.
ToolRouter search_actions
SEC Comment Letter
2022 — routine inquiry, closed no action
Enforcement Actions
None against company or management
Shareholder Class Action
Settled $7.5M Feb 2024 — immaterial
DOJ / Criminal Charges
None found
State Insurance Licenses
Active in 32 states — verify DOI
ToolRouter screen_entity
CEO — John Johnson
No disqualifying history
CFO — Sarah Kim
No disqualifying history
Board — 7 members screened
No enforcement flags
Regulatory Disqualification
None — cleared for long
Macro theme and credit cycle research
Research macroeconomic themes that drive top-down sector tilts and geographic allocation. Get synthesized, cited analysis on Fed policy, credit cycle dynamics, and whether to run more or less net long exposure.
Build a macro brief on the credit cycle heading into 2026. I want: leveraged loan default rates, high yield spread trends, Fed lending standards survey, and whether we should reduce our cyclical long exposure.
Credit brief compiled from BofA, Goldman, and Fed SLOOS data. Leveraged loan default rate: 3.2% LTM (up from 1.4% in 2022, well below 2009 peak of 10.8%). HY spread: OAS 320bp (historically tight, below 10-year average of 450bp). Fed SLOOS: 40% of banks tightening lending standards (leading indicator of corporate stress, 6-12 month lag). Conclusion: credit tightening but not in crisis. Reduce cyclical longs 10–15%, particularly consumer discretionary and commercial real estate.
ToolRouter research
Leveraged Loan Default Rate
3.2% LTM · up from 1.4% in 2022
HY OAS Spread
320bp · below 10-year avg of 450bp
Fed SLOOS Tightening
40% of banks tightening standards
Conclusion
Tightening but not in crisis — reduce cyclicals 10–15%
ToolRouter search_events
Apr 9
CPI Inflation Report
Apr 30
Q1 GDP Advance Estimate
May 6–7
FOMC Meeting — Rate Decision
May 13
PPI Producer Price Index
Jun 17–18
FOMC Meeting — Rate Decision
Quarterly investor letter drafting
Draft the quarterly investor letter: build the performance attribution charts, calculate net returns and fees, and get a first draft of the macro and thesis narrative sections.
Draft the opening section of our Q1 investor letter: fund returned +8.4% net, HFRI Equity Hedge benchmark +5.2%. Top contributor: NVDA long (+3.1% contribution). Largest detractor: consumer discretionary short (-0.8%). Macro context: S&P 500 +10.6% but concentrated in 7 stocks.
Draft Q1 letter opening: "The XYZ Fund returned +8.4% net of fees in Q1 2026, outperforming the HFRI Equity Hedge benchmark by 320 basis points. Equity markets advanced sharply with the S&P 500 gaining 10.6%, though performance remained highly concentrated — the seven largest technology companies accounted for 74% of the index return. Our outperformance reflected selective exposure to AI infrastructure beneficiaries, particularly our long in Nvidia (NVDA), which contributed +3.1% to fund returns following its February earnings beat. Our consumer discretionary short was the primary detractor at -0.8% as the sector proved more resilient than our thesis anticipated..." [full 4-paragraph section generated].
ToolRouter calculate_metrics
Gross Return
+9.6%
Management Fee (1.5% ann.)
-0.375%
Performance Fee (20% above 8% hurdle)
-0.84%
Net Return to LPs
+8.4%
vs HFRI Equity Hedge Benchmark
+320bp outperformance
ToolRouter create_chart
XYZ Fund (net)
HFRI Equity Hedge
Ready-to-use prompts
Short thesis research
Build a short thesis on Carvana (CVNA). Research: current debt load and maturity schedule, used car price trends, gross profit per unit trend over 8 quarters, insider selling activity from SEC Form 4 filings, and comparison of current stock price to tangible book value. Flag any red flags in their 10-K risk factors.
Morning portfolio price check
Pull current price, previous close, daily % change, and 52-week high and low for these tickers: [list 15 tickers]. Flag any that moved more than 4% from the prior close. Also pull current VIX, 10-year Treasury yield, and S&P 500 futures.
Manager regulatory history check
Search for SEC enforcement actions, FINRA disciplinary actions, and any civil or criminal DOJ charges against [company name] and its named executives (CEO, CFO, CIO) over the last 10 years. I am screening this company before adding it to our long book.
Credit cycle macro brief
Research the current state of the US credit cycle: (1) leveraged loan default rates compared to 5-year average, (2) US high yield OAS spread vs 10-year historical range, (3) Fed Senior Loan Officer Survey net tightening percentage, (4) bank CRE loan charge-off rates. Assess whether a material credit contraction is likely in the next 6–18 months.
Performance attribution waterfall chart
Create a horizontal waterfall bar chart showing Q2 performance attribution: start 0%, AI/tech longs +3.8%, healthcare longs +1.2%, macro hedges +0.6%, consumer shorts -1.1%, management fee -0.5%, performance fee -0.8%, net result +3.2%.
FOMC and volatility event calendar
Show all FOMC meetings, CPI data releases, non-farm payroll dates, and earnings from S&P 500 companies above $200B market cap scheduled for the next 45 days. I size my hedge book around volatility events.
Performance fee calculation
Calculate Q3 performance fees: fund AUM $340M, Q3 gross return +5.2%, management fee 1.5% annual (accrued quarterly at 0.375%), performance fee 20% above 8% annual hurdle rate (prorated quarterly at 2%). Fund was above the high water mark entering Q3. Show gross return, fees, and net return to LPs.
Activist investor 13F research
Pull the most recent 13F filing from both Pershing Square Capital Management and Third Point LLC from SEC EDGAR. List their top 10 long positions, any new positions added this quarter, and any positions fully exited. I track activist positioning for potential catalyst signals.
Tools to power your best work
Generate ChartTurn data into chart images fast
SEC FilingsSEC EDGAR filings & financial data
Deep ResearchAI research reports with citations
Stock MarketQuotes, history & analyst insights
Regulatory ActionsSEC, CFPB, FDIC & Federal Register
Economic CalendarEarnings, IPOs, FOMC & events
Financial CalculatorDCF, bonds, options & portfolios
Compliance ScreeningAML, sanctions, PEP & due diligence investigations
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New position investment memo
Before sizing into a new long or short position, build the full investment memo with regulatory screening, financial analysis, and risk-reward framing.
Morning portfolio review
Every morning before the open, run a structured review of portfolio positions, macro conditions, and risk metrics.
Quarterly investor letter preparation
Draft the quarterly investor letter: pull performance data, build attribution charts, research the macro backdrop, and write the narrative.
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Financial CalculatorCalculate gross and net returns, fees, Sharpe, and attribution by position group
Frequently Asked Questions
How do I structure a short thesis to present to my team?
A strong short memo has six sections: (1) one-line thesis statement, (2) why the market is wrong — the specific consensus view you are fading, (3) fundamental analysis from SEC filings showing the disconnect from current valuation, (4) catalysts — specific events that will drive the stock lower and on what timeline, (5) risks and stop-loss level, and (6) position sizing rationale. The catalyst section is most critical — a correct short thesis without a near-term catalyst is an expensive experience.
What SEC disclosure requirements apply to hedge funds?
Key filings: Form ADV (investment adviser registration, updated annually). Form 13F (quarterly disclosure of US long equity positions above $100M AUM threshold, filed within 45 days of quarter end). Form 13G/13D (when you cross 5% ownership in a public company). Form PF (for private fund advisers with >$150M AUM — quarterly or annual depending on size). The Regulatory Actions tool can help check for any SEC comment letters or deficiency notices related to these filings.
How do I calculate gross and net exposure?
Gross exposure = sum of all long positions (% of NAV) + sum of all short positions (% of NAV, absolute value). Net exposure = sum of longs minus sum of shorts. Example: $100M long, $40M short, $200M NAV = 50% gross long + 20% gross short = 70% total gross, 30% net long. Most long-short equity funds run 70–120% gross and 30–60% net long.
What is a high water mark and how does it affect performance fees?
The high water mark is the highest NAV per unit the fund has ever achieved. Performance fees are only charged on returns above the high water mark — preventing double-charging on recovered losses. Example: fund at $100 earns 20% to $120. Performance fee charged on $20. Fund falls to $110, recovers to $125. Performance fee only applies to the $5 gain above the prior $120 high water mark.
How do I set position size limits for a long-short book?
Common limits: maximum single long position 8–10% of NAV (5% for shorts since losses are theoretically unlimited). Maximum sector concentration 25–30% gross. Risk-based sizing: size each position so a 20% adverse move costs no more than 1% of NAV — this caps each position at approximately 5% net for a 20% stop. Shorts should be sized smaller than equivalent longs given the asymmetric loss profile.
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