Backtesting
TechnicalTesting a strategy on historical data
Backtesting involves applying a trading or investment strategy to historical market data to evaluate its performance. While useful for strategy develo... ...read more
Comprehensive financial glossary with 154+ terms
Testing a strategy on historical data
Backtesting involves applying a trading or investment strategy to historical market data to evaluate its performance. While useful for strategy develo... ...read more
Sensitivity of a security's returns to market returns
Beta measures the volatility of a security or portfolio relative to the overall market. A beta of 1.0 indicates the security moves with the market. Be... ...read more
Second derivative of option price to underlying; rate of change of delta
Gamma measures how quickly delta changes as the underlying asset price moves. High gamma means delta is very sensitive to price changes. Gamma is high... ...read more
Market's implied future volatility via option pricing
Implied volatility is the market's forecast of future price volatility, derived from option prices using models like Black-Scholes. High IV suggests m... ...read more
Momentum indicator from exponential moving averages
MACD shows the relationship between two EMAs (12-period and 26-period) with a signal line (9-period EMA of MACD). Crossovers, divergences, and histogr... ...read more
Average of past prices. Simple (SMA) or exponential (EMA)
Moving averages smooth price data to identify trends. SMA gives equal weight to all periods, while EMA gives more weight to recent prices. Crossovers... ...read more
C − P = S − K/(1+r)^t (ignoring dividends)
Put-call parity establishes the relationship between put and call options with the same strike and expiration. Formula: Call - Put = Stock - PV(K). Vi... ...read more
Proportion of variance explained by the model/benchmark
R-squared measures how well a model explains data variation. In finance, it shows how closely a portfolio tracks its benchmark. Range: 0-1, where 1 in... ...read more
Price pattern and volume analysis for trading decisions
Technical analysis studies price movements, patterns, and volume to forecast future price direction. Uses charts, indicators, and statistical measures... ...read more
Option time decay; value loss per day
Theta measures how much option value decreases with time passage. Options lose value as expiration approaches. Long options suffer from theta decay, w... ...read more
Option sensitivity to implied volatility
Vega measures option price sensitivity to volatility changes. Options with higher vega gain/lose more value with volatility changes. Important for opt... ...read more
Statistical measure of price dispersion
Volatility measures price variation magnitude. Realized volatility uses historical data, implied volatility from options. Higher volatility increases... ...read more