Stock Market Mastercourse 2.0 (2026) | Complete Fundamental and Technical Analysis | Beginner to Pro

Note: I could not find any subtitle content in the file you provided (the subtitles block appears empty). The following is an inferred syllabus-style summary based on the course title “Stock Market Mastercourse 2.0 (2026) | Complete Fundamental and Technical Analysis | Beginner to Pro.” Treat this as an inferred summary (not a transcript). If you paste the actual subtitles/transcript I will extract exact tickers, numbers, quotes, and any explicit recommendations or disclaimers.

Inferred finance-focused summary

1) Markets and instruments likely covered

• Equities: individual stocks across market-cap segments and sectors.
• ETFs: broad-market, sector, and factor ETFs.
• Bonds / fixed income: treasuries, corporate bonds, yield concepts, duration.
• Options: basic strategies such as covered calls, protective puts, and vertical spreads.
• Commodities and FX: brief macro context and how these affect portfolios.
• Crypto: likely high-level coverage given a 2026 course.

2) Fundamental analysis framework (step-by-step)

• Business and industry analysis
  • Market size, growth drivers, competitive landscape, and economic moats.
• Financial statements review
  • Income statement: revenue growth, gross/operating/net margins, EBITDA.
  • Cash flow statement: operating cash flow and free cash flow (FCF).
  • Balance sheet: cash, debt, working capital, and liquidity ratios.
• Key metrics and ratios
  • Revenue growth rates, EPS, P/E, PEG, EV/EBITDA, P/B, ROE, ROIC, gross margin.
• Valuation methods
  • Discounted cash flow (DCF): forecast FCF, select discount rate (WACC), terminal value, sensitivity/scenario analysis.
  • Relative valuation: peer multiples and sector comps.
  • Sum-of-the-parts / intrinsic valuation where applicable.
• Quality and risk checks
  • Management quality, capital allocation history, margin of safety, and red flags (declining FCF, rising leverage).
• Catalysts and timeline
  • Upcoming earnings, product launches, regulatory events, and other catalysts.

3) Technical analysis framework (step-by-step / trade setup)

• Market regime and trend identification
  • Higher highs/lows, moving averages (50, 100, 200 MA).
• Support / resistance and price structure
  • Swing highs/lows, breakout and consolidation levels.
• Indicators and signals
  • RSI (overbought/oversold), MACD, Bollinger Bands, volume confirmation.
• Entry / exit mechanics
  • Entry on breakouts or pullbacks to confluence (moving averages, Fibonacci retracements).
  • Stop placement: below recent swing low or using volatility-based stops.
  • Targeting: measured moves and risk–reward ratios (example: 1:3 or better).
• Risk control
  • Position sizing rules, trailing stops, scaling in/out.
• Process
  • Backtesting setups and journaling trade ideas and outcomes.

4) Portfolio construction and risk management

• Asset allocation: equities vs fixed income vs alternatives; strategic vs tactical allocations.
• Diversification: across sectors, geographies, market-cap, and style factors.
• Position sizing frameworks: fixed fraction, volatility parity, and Kelly-derived sizing (with cautions).
• Rebalancing cadence: calendar-based (quarterly/annual) or threshold-based.
• Risk budgeting: max drawdown per position/portfolio and correlation monitoring.
• Hedging: options or inverse ETFs as overlays; using cash as a risk buffer.
• Performance metrics: absolute returns, CAGR, volatility, Sharpe ratio, Sortino, max drawdown, drawdown recovery time.

5) Macroeconomic context and how it informs decisions

• Interest rates and central bank policy (e.g., Fed): effects on valuations and sector rotation.
• Inflation trends and real yields: impacts on growth/tech vs value sectors.
• Yield curve signals (inversion) and recession probabilities.
• Currency and commodity moves: how these affect multinational earnings and input costs.

6) Practical items often emphasized for beginners → pro

• Building watchlists and thesis templates (bull/bear/scenario).
• Earnings-season playbook: approaches to trading earnings risk.
• Screening and idea generation: quant screens and fundamental filters.
• Paper trading and progressive allocation before scaling live.
• Record-keeping: investment journal, trade log, and post-mortem analysis.

7) Typical explicit cautions / disclosures you would expect

• Importance of due diligence and independent verification of data.
• Standard disclaimer: not financial advice / consult a licensed advisor.
• Risk warnings about leverage, options, and concentrated positions.

Items I could not extract from the provided subtitles

• No specific tickers, prices, yields, growth rates, or dates/timelines.
• No explicit buy/sell recommendations or numeric examples.
• No presenters’ names or source citations.

What I can extract if you paste the actual subtitles/transcript

• All mentioned tickers, assets, ETFs, cryptos, commodities, and bonds.
• Any numeric values (prices, yields, multiples, growth rates, timelines).
• Exact step-by-step frameworks and any rule-based setups.
• Explicit recommendations, cautions, and any disclaimers.
• Names of presenters and sources mentioned in the video.