Backtesting
Backtesting applies a trading or investment rule to historical data to evaluate hypothetical performance, risk, and implementation limits.
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Backtesting applies a trading or investment rule to historical data to evaluate hypothetical performance, risk, and implementation limits.
Technical-indicator and oscillator terms for momentum, volume, volatility bands, trend strength, and signal confirmation.
Mean reversion is the idea that a price, spread, return, or valuation measure may move back toward a reference level after an extreme deviation.
Quantitative trading uses data, statistics, models, and systematic rules to identify signals, size positions, and manage trading risk.
Risk-measurement terms for beta, VaR, CVaR, expected shortfall, semivariance, tail risk, and model-based risk estimates.
Statistical arbitrage uses data, models, and systematic rules to trade temporary pricing deviations among related securities.
Systematic trading pages covering backtesting, forward testing, quantitative rules, algorithmic execution, and model-driven signals.