AIQ Investment & Analysis Concepts

Financial markets are price discovery mechanisms that aggregate the beliefs of millions of participants into a single tradeable number. Understanding the structure beneath that number changes how you interpret price action and execution quality.

Asset classes are groupings of investments with similar risk drivers, return profiles, and correlation behavior. Getting the asset class mix right is responsible for more of long-run portfolio outcomes than any individual security selection.

Exchanges and order types determine how your analysis translates into actual executed trades. Execution quality compounds silently over time -- poor execution erodes returns just as reliably as poor stock selection.

Bull and bear market regimes are not just labels for direction -- they represent fundamentally different environments where the same investment behavior produces dramatically different outcomes.

Market cap is the total market value of a company's equity: share price multiplied by shares outstanding. It is a starting point for classification, not a quality signal.

Stock prices are set by the interaction of fundamentals, narratives, and flows -- each operating on different time horizons. Conflating these layers produces the most common mistakes in equity investing.

Dividends are one of the most misunderstood topics in investing. High yield attracts retail investors who often mistake elevated yield for value, while dividend growth -- the actual engine of long-run income compounding -- is systematically underappreciated.

Stock Splits & Reverse Splits explained with practical workflows, risk-aware interpretation, and portfolio-level context.

IPOs - Initial Public Offerings explained with practical workflows, risk-aware interpretation, and portfolio-level context.

The three financial statements -- income statement, balance sheet, and cash flow statement -- are designed to be read together. Each validates or challenges what the others claim. Reading one in isolation is like reading every third page of a novel and calling it analysis.

EPS measures per-share earnings — but reported EPS is rarely the whole story. Understanding what drives it and what it hides separates informed analysis from surface-level screening.

P/E compares price to earnings: how much investors pay per $1 of annual earnings.

P/B compares market price to accounting book value. In the right industry it is highly informative; in the wrong one it is nearly useless. Knowing which is which is the entire skill.

Price-to-Sales Ratio (P/S) explained with practical workflows, risk-aware interpretation, and portfolio-level context.

EV/EBITDA is the standard cross-company valuation multiple for professionals. Its power is capital-structure neutrality; its danger is that EBITDA is not cash flow, and treating it as such is one of the most common and consequential errors in equity analysis.

Return on Equity (ROE) explained with practical workflows, risk-aware interpretation, and portfolio-level context.

ROIC is the single most important metric for assessing business quality over time. It measures how much after-tax operating profit a company generates per dollar of total capital deployed -- and whether that return exceeds the cost of obtaining that capital.

Debt-to-Equity Ratio explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Free cash flow is the cash a business generates after maintaining and growing its asset base -- the truest measure of what is available to owners. Unlike accounting earnings, it is difficult to fabricate and impossible to fake indefinitely.

DCF is the theoretically correct framework for valuing any asset -- it forces explicit assumptions and produces an intrinsic value estimate. But it is only as good as its assumptions, and small changes in key inputs can produce wildly different outputs. The discipline of DCF lies in the process, not the precision.

Revenue Growth & Earnings Growth explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Gross Margin, Operating Margin & Net Margin explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Competitive Moat Analysis explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Sector & Industry Analysis explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Macroeconomic Indicators That Move Markets explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Introduction to Technical Analysis explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Candlestick Charts explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Support & Resistance Levels explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Trendlines & Trend Channels explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Moving averages are trend-following tools that smooth noisy price data. Used well, they provide genuine edge in identifying trend direction and dynamic support. Used naively, they produce whipsaws and false signals in exactly the conditions where investors need the clearest guidance.

Moving Average Convergence Divergence (MACD) explained with practical workflows, risk-aware interpretation, and portfolio-level context.

RSI is the most widely used momentum oscillator in equity markets. Its power lies not in its overbought and oversold thresholds -- those are the least reliable signals it generates -- but in divergence detection and its use as a trend-confirmation tool.

Bollinger Bands explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Volume Analysis explained with practical workflows, risk-aware interpretation, and portfolio-level context.

On-Balance Volume (OBV) explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Stochastic Oscillator explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Average True Range (ATR) explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Fibonacci Retracement explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Chart Patterns explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Ichimoku Cloud explained with practical workflows, risk-aware interpretation, and portfolio-level context.

VWAP - Volume Weighted Average Price explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Building a Portfolio from Scratch explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Asset Allocation explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Diversification explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Rebalancing a Portfolio explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Factor Investing explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Growth vs Value Investing explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Dividend Growth Investing explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Thematic Investing explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Index investing is not passive acceptance of mediocrity -- it is the rational response to the mathematics of market competition, decades of empirical evidence about active management performance, and the compounding importance of cost control. Understanding why it works is more important than simply implementing it.

Dollar-cost averaging is most accurately described as a behavioral tool, not an optimal mathematical strategy. The empirical evidence consistently shows lump-sum investing beats DCA two-thirds of the time -- yet DCA remains one of the most powerful practical investing approaches because the investor who can actually implement it consistently beats the investor who can't.

Tax-Efficient Investing explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Understanding Investment Risk explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Standard Deviation & Volatility explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Beta - Market Sensitivity explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Alpha - Excess Return explained with practical workflows, risk-aware interpretation, and portfolio-level context.

The Sharpe ratio is the most widely cited risk-adjusted return metric in institutional investing -- and among the most misapplied. Understanding what it actually measures, what it penalizes incorrectly, and when to use alternatives determines whether it is useful or misleading.

Sortino Ratio explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Maximum drawdown is the most psychologically honest risk metric -- it measures the worst loss an investor would have experienced holding through the full period. Unlike volatility, it captures the path of loss, not just its average magnitude.

Value at Risk (VaR) explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Correlation & Covariance explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Position Sizing explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Stop-Loss Strategies explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Hedging Strategies explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Options - Calls & Puts explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Options Greeks explained with practical workflows, risk-aware interpretation, and portfolio-level context.

The Black-Scholes Model explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Implied Volatility & the VIX explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Short Selling explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Margin Trading & Leverage explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Modern Portfolio Theory (MPT) explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Capital Asset Pricing Model (CAPM) explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Efficient Market Hypothesis (EMH) explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Behavioral Finance explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Sentiment Analysis in Markets explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Introduction to Algorithmic Trading explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Backtesting Strategies explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Overfitting & Lookahead Bias explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Mean Reversion Strategies explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Momentum Strategies explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Statistical Arbitrage explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Machine Learning in Investing explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Signal Generation & Filtering explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Execution Algorithms explained with practical workflows, risk-aware interpretation, and portfolio-level context.

Market Microstructure explained with practical workflows, risk-aware interpretation, and portfolio-level context.