Investment Indicators
Educational profiles for technical, fundamental, and macro indicators: formula, inputs, interpretation, limitations, and how each one fits into a research process.
An investment indicator is a calculation on market data that answers one question: where the trend is, how fast price is moving, how much it moves, who is participating, what options or surveys say investors expect, how the economy or the credit market is pricing risk, or how a portfolio is exposed. The 16 categories below group about 640 profiles by the question each indicator answers, and every profile states the formula, the inputs, a worked example, how to read it and where it fails.
What do Investment indicators have in common?
Every indicator starts from the same raw material, a series of prices, volumes, rates or counts, and reduces it to a number that is easier to compare across time or across assets than the series itself. A moving average answers where the trend is, a z-score answers how unusual today's reading is, a put-call ratio answers what option buyers expect, a credit spread answers what lenders charge for default risk. None forecasts on its own; each is a summary of what has already been recorded, and its use depends on knowing which question it summarizes.
The categories divide along the data they read. Trend, momentum, volatility, volume, price and structure, and relative strength indicators read price and volume of a single instrument or of one against another. Breadth, sentiment and options indicators read what many participants are doing at once, through issue counts, surveys, positioning and option prices. Fixed income and credit, macro and cross-asset, and crypto indicators read a market's own data: yields and spreads, the Fed's balance sheet and survey diffusion indexes, or a blockchain's transaction record. Market microstructure indicators read the trade and quote record itself. Statistical and quantitative, cycle and signal-processing, and portfolio and risk indicators are methods applied to any of those series rather than tied to one.
What they share is that each is published with a formula and a reading rule, and that the reading rule is where the judgment lives: an RSI above 70 or a yield curve inversion is a fact, and whether it matters depends on the regime, the horizon and the other evidence. The profiles here state the formula, the inputs, a worked example with real numbers, how the indicator is read, where it fails, and, where the method has a published origin, the paper or the official data series behind it.
How do you choose a Investment indicator?
- Start from the question, not the indicator: direction (trend), speed (momentum), size of moves (volatility), participation (volume, breadth), expectation (sentiment, options), regime (macro, fixed income and credit) or portfolio exposure (portfolio and risk)
- Use one indicator per question; stacking three momentum oscillators built from the same price change tells one story three times
- Match the indicator's horizon to the decision: an opening range answers a question about today, a 200-day average or a 12-1 momentum rank answers one about the next several months
- Prefer an indicator with a published origin or an official data series behind it, so that its formula is fixed and its history can be checked, over one whose definition varies between charting packages
- Read every indicator against its own limits section before acting on it; the profiles state where each fails, and most fail in the regime where they are most tempting
Investment indicators at a glance
| Category | What its indicators measure |
|---|---|
| Fixed Income And Credit Indicators | Fixed income and credit indicators measure the price of time and the price of default risk: the yield of a bond and how it responds to rate changes (duration, convexity, the yield measures), the shape of the Treasury curve (term spreads, real yields, breakevens, the term premium) and the extra yield credit pays over Treasuries (option-adjusted, G-, I- and Z-spreads, CDS spreads, distance to default). |
| Breadth Indicators | Market breadth indicators count how many securities are taking part in a move rather than how far the index has moved: advancing against declining issues, new highs against new lows, the share of stocks above a moving average, and up volume against down volume. |
| Sentiment Indicators | Sentiment indicators measure what investors as a group expect or fear, from three sources: the prices they pay for options (the VIX family, put-call ratios, skew), the answers they give to surveys (AAII, Investors Intelligence, NAAIM) and the positions they hold (margin debt, short interest, fund flows, insider and corporate activity, the Commitments of Traders report). |
| Momentum Indicators | Momentum indicators measure the speed and persistence of price change: oscillators such as RSI, the stochastic oscillator, the commodity channel index and rate of change, which are bounded or centered and read for overbought and oversold extremes, and the cross-sectional and time-series momentum measures from the academic literature, which rank assets by their past return over months. |
| Relative Strength Indicators | Relative strength indicators compare one instrument with another instead of with its own past: a stock against its index, a sector against the market, small caps against large, growth against value, equal-weight against cap-weight, or any asset against a benchmark or peer group. |
| Trend Indicators | Trend indicators describe the direction, strength and persistence of a price move, mostly by smoothing price into a reference line and measuring where price sits against it: the moving-average family and its crossovers, channels and ribbons, the directional-movement system, MACD and its relatives, Ichimoku, Supertrend and Parabolic SAR. |
| Crypto Indicators | Crypto indicators measure what a public blockchain and its derivatives markets record directly: coins moving between addresses and exchanges, the price at which each coin last moved, miner revenue and difficulty, open interest, funding rates and liquidations. |
| Volatility Indicators | Volatility indicators measure how much price moves rather than where it goes: realized measures from past prices (standard deviation, ATR, the Parkinson, Garman-Klass and Yang-Zhang range estimators), implied measures from option prices (implied volatility, IV rank, the volatility risk premium) and the bands that place a volatility-scaled envelope around price. |
| Portfolio And Risk Indicators | Portfolio and risk indicators measure a whole portfolio rather than one security: its exposure (gross, net, beta-adjusted, factor), its concentration (Herfindahl index, effective number of bets, diversification ratio), its loss profile (drawdown, downside deviation, value at risk and its components) and its return quality against a benchmark (alpha, tracking error, capture ratios, the Sterling, Martin and gain-to-pain ratios). |
| Market Microstructure Indicators | Market microstructure indicators measure the cost and mechanics of trading rather than the direction of price: bid-ask spreads and their estimators, order book depth and imbalance, order flow imbalance, price impact, slippage against arrival price, VWAP or TWAP, and the ratios that describe how orders, quotes and trades relate. |
| Cycle & Signal Processing Indicators | Cycle and signal-processing indicators treat a price series as a signal made of a trend, one or more cycles and noise, and use filters borrowed from engineering to separate them: band-pass and high-pass filters, the Hilbert transform, the Fisher transform and John Ehlers' adaptive filters. |
| Macro & Cross-Asset Indicators | Macro and cross-asset indicators turn economic data and the relationship between asset classes into a reading of the market regime: financial conditions indexes, the slope and inversion of the yield curve, credit spreads, the dollar, liquidity proxies built from the Federal Reserve's balance sheet, and ratios such as copper to gold or stocks to bonds. |
| Options Indicators | Options indicators read the options market for what it implies about the underlying: implied volatility and its term structure, skew and the volatility surface, the expected move, put-call ratios and open interest, and the dealer-positioning measures (gamma, delta, vanna and charm exposure, the gamma flip level, call and put walls, max pain) that describe how hedging flows may push the underlying as it moves. |
| Price & Structure Indicators | Price and structure indicators describe where price sits relative to a recurring reference rather than how fast it is moving: the day's or week's high and low, pivot points, opening ranges, 52-week extremes, Darvas boxes, price channels, regression channels and fractals, plus the simple transforms (typical price, median price, weighted close, log price, normalized price, ratios and spreads) that other indicators are built from. |
| Statistical & Quantitative Indicators | Statistical and quantitative indicators apply textbook statistics to price and return series: rolling location and scale, z-scores and percentile ranks, correlation, beta, regression and cointegration, persistence tests such as autocorrelation and the Hurst exponent, and entropy measures. |
| Volume Indicators | Volume indicators measure participation: how much was traded, at which prices, and whether buyers or sellers were pushing. |
Each row is the opening sentence of that category hub's own direct answer, so the table says exactly what the hub says.
Guides in This Category
What limits do Investment indicators share?
No indicator forecasts; each summarizes recorded data, and its value comes from the reading rule applied to it, which is a judgment about regime and horizon that the number itself does not carry. Indicators built from the same input are not independent evidence, lookback lengths and thresholds are conventions rather than tested constants, and the relationships that macro and cross-asset indicators encode have changed sign within living memory. A profile's worked example uses real arithmetic on stated inputs, not a claim about future results.
Frequently Asked Questions
What is an investment indicator?
An investment indicator is a calculation on market data, such as prices, volumes, yields, option prices, survey results or blockchain records, that reduces a series to a number answering one question: where the trend is, how fast price moves, how much it moves, who is participating, what investors expect, or how a portfolio is exposed. It summarizes what has been recorded rather than forecasting what comes next.
How many indicators are profiled here and how are they organized?
About 640 indicator profiles are organized into 16 categories by the question each answers: trend, momentum, volatility, volume, price and structure, relative strength, breadth, sentiment, options, fixed income and credit, macro and cross-asset, crypto, market microstructure, statistical and quantitative, cycle and signal processing, and portfolio and risk. Each category hub explains what its members have in common and how to choose among them.
Which indicator is best for a beginner?
The ones whose question is clearest: a simple or exponential moving average for trend, average true range for how much an instrument moves, relative volume for participation and the yield curve slope for the economic regime. Each has a fixed formula, a long public history and a limits section that explains the one way it most often misleads, which is more useful at the start than an indicator with more parameters.
Do technical indicators work?
Some rules have a published record and some do not. Trend following across many markets, cross-sectional momentum over months, the yield curve as a recession signal and volatility clustering each have decades of peer-reviewed evidence, cited on the relevant profiles. Most short-term oscillator rules do not, and their value is as a description of the recent move rather than as a prediction. The profiles say which is which.