Portfolio Manager
Deep Dive on NVDA in 90 Seconds β Fundamental + Technical in One Report
Key Takeaway
I type "analyze NVDA" and in 90 seconds get P/E, PEG, DCF fair value, RSI, MACD, support/resistance, peer comparison, and a buy/hold/sell recommendation β what takes an analyst 2-4 hours.
The Problem
I hold NVDA. It's one of my larger US equity positions. When Jensen announces a new chip architecture or when earnings approach, I need to know: is the current price justified? What do the technicals say? How does it compare to AMD and Intel?
The traditional approach: open a Bloomberg terminal (or Yahoo Finance if you're bootstrapping), pull the fundamentals manually, switch to TradingView for technicals, open a spreadsheet to do peer comparison, read three analyst reports for context, and synthesize it all into a view. That's 2-4 hours of work for one stock.
I hold multiple positions across three equity markets. If I did a proper deep dive on each holding every quarter, that's 40+ hours of analysis per quarter. I run a holding company. I don't have 40 hours for equity research.
But I also don't want to fly blind. Every time I skip the analysis, I'm making portfolio decisions on vibes instead of data.
The Solution
The US Stock Analysis agent on Mr.Chief. One command β "analyze NVDA" β triggers a full fundamental and technical analysis. The agent pulls data from Alpha Vantage (financials, ratios, price history), runs technical indicators, does a DCF model, compares against peers, and delivers a structured report with a recommendation.
90 seconds from input to output. No spreadsheets. No tab switching. No manual calculation.
The Process
yamlShow code
# Stock Analysis β On-demand via Telegram
name: stock-deep-dive
trigger: "analyze {TICKER}"
channel: telegram
task: |
Run full fundamental + technical analysis on {TICKER}.
FUNDAMENTAL:
- P/E, Forward P/E, PEG ratio
- Revenue growth (YoY, QoQ), gross/operating/net margins
- Free cash flow, FCF yield
- DCF fair value (3 scenarios: bull/base/bear)
- Balance sheet: debt/equity, current ratio, cash position
TECHNICAL:
- RSI (14-day), MACD, signal line
- 50-day and 200-day SMA, current price vs both
- Support and resistance levels (3 each)
- Volume trend (20-day avg vs current)
PEER COMPARISON:
- Compare against sector peers on 10 key metrics
OUTPUT:
- Buy / Hold / Sell recommendation
- Confidence level (1-10)
- Key risk factors
- Price targets (bear/base/bull)
The analysis engine:
pythonShow code
async def analyze_stock(ticker: str):
# Parallel data fetch
overview = await alpha_vantage.get_company_overview(ticker)
income = await alpha_vantage.get_income_statement(ticker)
balance = await alpha_vantage.get_balance_sheet(ticker)
cashflow = await alpha_vantage.get_cash_flow(ticker)
daily = await alpha_vantage.get_daily_prices(ticker, days=365)
# Fundamental analysis
fundamentals = {
"pe_ratio": overview["PERatio"],
"forward_pe": overview["ForwardPE"],
"peg": overview["PEGRatio"],
"rev_growth_yoy": calc_growth(income, "totalRevenue", periods=4),
"gross_margin": calc_margin(income, "grossProfit", "totalRevenue"),
"fcf_yield": calc_fcf_yield(cashflow, overview["MarketCapitalization"]),
}
# DCF Model
dcf = run_dcf(
fcf=cashflow[0]["operatingCashflow"] - cashflow[0]["capitalExpenditures"],
growth_rates={"bull": 0.25, "base": 0.18, "bear": 0.10},
discount_rate=0.10,
terminal_growth=0.03,
years=10
)
# Technical indicators
technicals = {
"rsi_14": calc_rsi(daily, period=14),
"macd": calc_macd(daily),
"sma_50": calc_sma(daily, 50),
"sma_200": calc_sma(daily, 200),
"support": find_support_levels(daily, n=3),
"resistance": find_resistance_levels(daily, n=3),
}
# Peer comparison
peers = await analyze_peers(ticker, ["AMD", "INTC"])
return synthesize_recommendation(fundamentals, dcf, technicals, peers)
The output:
View details
π NVDA DEEP DIVE β 90-Second Analysis
PRICE: $142.80 | MCap: $3.51T
FUNDAMENTALS:
P/E: 38.2 | Fwd P/E: 28.4 | PEG: 1.2
Rev Growth: +94% YoY | +22% QoQ
Gross Margin: 74.8% | Op Margin: 62.1%
FCF: $41.2B | FCF Yield: 1.17%
DCF FAIR VALUE:
π» Bear: $118 (-17.4%)
π Base: $156 (+9.2%)
π Bull: $198 (+38.7%)
TECHNICALS:
RSI(14): 58 β neutral
MACD: bullish crossover 3 days ago
Price vs 50 SMA: +4.2% above
Price vs 200 SMA: +28.1% above
Support: $134 / $128 / $119
Resistance: $148 / $156 / $168
PEER COMPARISON (NVDA vs AMD vs INTC):
Revenue Growth: 94% / 18% / -8%
Gross Margin: 74.8% / 49.2% / 41.1%
P/E Ratio: 38.2 / 42.1 / N/A (neg)
FCF Yield: 1.17% / 1.84% / 0.62%
R&D % Revenue: 17.2% / 22.8% / 31.4%
RECOMMENDATION: HOLD β
Confidence: 7/10
Rationale: Trading near base-case fair value.
Technicals neutral-positive. Growth justifies premium
but limited upside from current price. Wait for
pullback to $134 support for add, or breakout
above $148 resistance for momentum entry.
RISK FACTORS:
β οΈ China export restrictions tightening
β οΈ Customer concentration (hyperscaler dependency)
β οΈ Multiple compression if growth decelerates
The Results
| Metric | Manual Analysis | Agent Analysis |
|---|---|---|
| Time to complete | 2-4 hours | 90 seconds |
| Data points analyzed | ~30 (manual fatigue) | 85+ |
| Peer comparison depth | Surface-level | 10 metrics, 3 peers |
| DCF scenarios | Usually 1 | 3 (bull/base/bear) |
| Technical indicators | 2-3 | 6+ with support/resistance |
| Frequency possible | Quarterly at best | On-demand, any time |
| Cost | Hours of analyst time | ~$0.15 per analysis |
I now run deep dives on any holding whenever news breaks. Earnings surprise? 90-second analysis before the market digests it. Sector rotation rumors? Quick peer comparison across all semiconductor names.
Try It Yourself
- Set up Alpha Vantage API access (free tier: 25 calls/day; premium for serious use)
- Define your peer groups per holding
- Customize the DCF assumptions (discount rate, terminal growth) to your investing framework
- Use on-demand for active research or schedule weekly for all holdings
- Track the agent's recommendations against actual outcomes to calibrate confidence
The goal isn't to replace deep thinking about investments. It's to eliminate the hours of data gathering so you can spend your time on the thinking part.
I don't do equity research anymore. I review equity research. There's a difference.
Related case studies
Portfolio Manager
Earnings Preview Report for 5 Holdings β Before the Market Opens
How an AI agent generates earnings preview reports for NVDA, GOOGL, META, TSLA, and PLTR in 10 minutes β consensus estimates, implied moves, and key metrics delivered before Monday open.
Portfolio Manager
Screening for Undervalued AI Stocks β 5 Companies the Market Is Sleeping On
AI agent screens for undervalued AI stocks using fundamental and technical filters. P/E under 30, revenue growth over 25%, positive FCF. Monthly stock screening with Mr.Chief.
Portfolio Manager
The Complete Financial Operating System β All 17 Skills in One Stack
How 17 AI finance skills work as one integrated system: data ingestion, analysis, execution, and reporting. 31 agents across 8 teams running a complete financial operating system on Mr.Chief.
Want results like these?
Start free with your own AI team. No credit card required.