Portfolio Manager

Deep Dive on NVDA in 90 Seconds β€” Fundamental + Technical in One Report

90 sec vs 2-4 hours per analysisFinance & Trading5 min read

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
πŸ“Š 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:
  🐻 Bear: $118 (-17.4%)
  πŸ“Š Base: $156 (+9.2%)
  πŸ‚ 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 βœ‹
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:
⚠️ China export restrictions tightening
⚠️ Customer concentration (hyperscaler dependency)
⚠️ Multiple compression if growth decelerates

The Results

MetricManual AnalysisAgent Analysis
Time to complete2-4 hours90 seconds
Data points analyzed~30 (manual fatigue)85+
Peer comparison depthSurface-level10 metrics, 3 peers
DCF scenariosUsually 13 (bull/base/bear)
Technical indicators2-36+ with support/resistance
Frequency possibleQuarterly at bestOn-demand, any time
CostHours 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

  1. Set up Alpha Vantage API access (free tier: 25 calls/day; premium for serious use)
  2. Define your peer groups per holding
  3. Customize the DCF assumptions (discount rate, terminal growth) to your investing framework
  4. Use on-demand for active research or schedule weekly for all holdings
  5. 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.

stock-analysisNVDAfundamental-analysistechnical-analysisDCF

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Deep Dive on NVDA in 90 Seconds β€” Fundamental + Technical in One Report β€” Mr.Chief