Stock market analysis

types of stock market analysis

Why to analyze stocks?

What is the "best" way to invest. This discuss three types of market analyst and how one can understand investment from a "big picture" perspective.

Security Analysis: Does it matter?

Various roles in the market

  • Analysts are hired to find undervalued stocks.

  • Strategists are hired to predict the direction of the market and various sectors.

  • Portfolio managers are hired to put it all together and outperform their benchmarks, but 75% of equity mutual funds underperform the benchmarks.

There are different ways to analyze the market:

  • Fundamental analyst

    • believes that analyzing strategy, management, product, financial statistics and many other readily and not-so-readily quantifiable numbers will help choose the stocks that will outperform the market.

    • They are likely to believe that there is a little to no value in analyzing past prices and that technical analysts would be better off stargazing

  • Technical analyst

    • believes that chart, Volume, Momentum and array of mathematical indicators hold the keys to superior performance

    • likely to believe that fundamental data is complete hogwash

Are Markets Efficient?


Technical Analysis & Trading Handbook

This repository includes a complete Technical Analysis and Trading Handbookβ€”a structured knowledge base from beginner to advanced level.

Handbook (full reference)

  • Technical Analysis Handbook β€” 12 sections covering:

    • Market basics β€” How markets work, participants, order types, bid/ask, sessions

    • Price action β€” Support/resistance, trendlines, structure (HH/HL, BOS, MSS), range vs trend

    • Candlestick analysis β€” Single, two, and three-candle patterns; candle psychology

    • Chart patterns β€” Reversal and continuation patterns; breakout confirmation

    • Technical indicators β€” Trend, momentum, volatility, volume (formulas and usage)

    • Advanced concepts β€” SMC, order blocks, Wyckoff, institutional behavior

    • Trading strategies β€” Trend following, breakout, mean reversion, scalping, swing, position

    • Risk management β€” Position sizing, R:R, drawdown, portfolio risk

    • Trading psychology β€” Discipline, biases, journaling, trading plan

    • Backtesting β€” Basics, walk-forward, overfitting, Python & TradingView

    • Algorithmic trading β€” Automation, APIs, data, backtesting stack

    • Common mistakes β€” Beginner errors, indicator overload, leverage, risk

Revision (quick reference & cheat sheets)

Use the handbook for deep learning; use the Revision folder for quick lookup and exam-style review.

Summary (all three disciplines)

Tips and Tricks

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