Quantitative models · Page 63 · TradersWeek

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Indicators and filters

Indicators and filters within quantitative-models.

Time series and forecasting

Time series and forecasting within quantitative-models.

Cycles and spectral analysis

Cycles and spectral analysis within quantitative-models.

Statistical tests

Statistical tests within quantitative-models.

The registry

Entries in this field

A

ARIMA Adaptive Filter Adaptive moving average Alpha coefficient Alpha-beta filter Augmented Dickey-Fuller test Autocorrelation test Average Directional Index

B

Bandpass filter Bayesian inference Besson's coefficient of persistence Binomial probability model Black-Scholes Model Bollinger Bands Bootstrap resampling

C

Calmar ratio Chi-square test Cluster analysis Coin-flip no-skill baseline Cointegration test Commodity Channel Index Conditional Value at Risk Covariance matrix estimation Cross-validation

D

Decision tree Differencing Discrete Fourier Transform Dominant cycle detection

E

EGARCH model Exponential smoothing

F

Factor analysis Fast Fourier Transform Final Prediction Error Finite Impulse Response Filter Five-Cycle Analytical System Fourier analysis Fractional differencing Frequency histogram

G

GARCH model Game theory

H

HI/LO Hidden Markov model Highpass filter Historical analog comparison Hull moving average Hypothesis testing

I

Information ratio Investment psychology inventory

K

K-means clustering Kalman filter Kalman smoother

L

Least squares moving average Linear discriminant techniques Linear programming Linear regression Logistic model Lowpass filter

M

Markov transition model Maximum entropy spectrum analysis Mean deviation Mean-variance optimization Monte Carlo simulation Moving average

O

P

Pattern recognition Payoff Index Permutation test Poisson model Price change density histogram Price-change categorization Principal component analysis Profit Matrix

Q

Quantile analysis

R

Random forest Random walk hypothesis test Relative Strength Index Relative Volatility Index Runs test

S

Sharpe ratio Sine-wave price model Sortino ratio Spectral analysis Stochastic oscillator Support vector machine

T

TRIX Transition matrix Trend filter Triangular moving average Typical price

U

Unit root test Up-volume ratio Up/down volume oscillator

V

Value at Risk Vector autoregression Vertical Horizontal Filter Volatility forecast

W

Wavelet transform Weighted moving average Williams %R

Z

Z-score normalization

The archive1156 readings

Readings on this topic

2006Crude oil swing counts and cycle clustersDominant cycle detection 2006Normalized average true range as a pre-entry volatility boundATR position sizing 2006Percent-scale average true range for comparable rangeATR position sizing 2006A linear-regression next-bar forecast needs a searchable cutoffLinear regression 2006Linear forecast versus buy-and-hold when price changes clusterLinear regression 2006Rank price-oscillator divergences, then filter by trendPrice-indicator divergence 2006Constructing a Wilson relative price channel from a range-bound strength indexRelative Strength Index 2006A dominant-cycle split into a trend filter and residual Relative Strength IndexDominant cycle detection 2006Constructing a trend filter from a cycle-length moving average and a highpass residualHighpass filter 2006Cycle and Fibonacci timing without trend contextDominant cycle detection 2006Pairing a dominant-cycle horizon with trend and oscillatorsDominant cycle detection 2006Constructing an adaptive price zone from a double-smoothed rangeExponential smoothing