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# Numerics
Basic mathematical transforms and utility functions for time series. These building blocks convert raw price data into forms suitable for analysis, comparison, and downstream indicator consumption.
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| Indicator | Full Name | Description |
| :--- | :--- | :--- |
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| [ACCEL ](accel/Accel.md ) | Acceleration | Momentum change; second derivative of price. |
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| [BETADIST ](betadist/Betadist.md ) | Beta Distribution | Beta probability distribution transform. |
| [BINOMDIST ](binomdist/Binomdist.md ) | Binomial Distribution | Binomial probability distribution transform. |
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| [CHANGE ](change/Change.md ) | Percentage Change | Relative price movement over lookback period. |
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| [CWT ](cwt/Cwt.md ) | Continuous Wavelet Transform | Time-frequency decomposition with continuous wavelets. |
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| [DECAY ](decay/Decay.md ) | Linear Decay | Peak envelope with linear degradation; max(input, prev − 1/period). |
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| [DWT ](dwt/Dwt.md ) | Discrete Wavelet Transform | À trous Haar stationary DWT; multi-resolution approximation + detail decomposition. |
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| [EDECAY ](edecay/Edecay.md ) | Exponential Decay | Peak envelope with exponential degradation; max(input, prev × (period− 1)/period). |
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| [EXPDIST ](expdist/Expdist.md ) | Exponential Distribution | Exponential probability distribution transform. |
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| [EXPTRANS ](exptrans/Exptrans.md ) | Exponential Transform | e^x transform for log-space conversion reversal. |
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| [FDIST ](fdist/Fdist.md ) | F-Distribution | Fisher-Snedecor probability distribution transform. |
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| [FFT ](fft/Fft.md ) | Fast Fourier Transform | Frequency-domain decomposition via FFT algorithm. |
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| [GAMMADIST ](gammadist/Gammadist.md ) | Gamma Distribution | Gamma probability distribution transform. |
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| [HIGHEST ](highest/Highest.md ) | Rolling Maximum | Maximum value over lookback window. |
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| [IFFT ](ifft/Ifft.md ) | Inverse Fast Fourier Transform | Frequency-to-time domain reconstruction. |
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| [JERK ](jerk/Jerk.md ) | Jerk | Rate of acceleration; third derivative of price. |
| [LINEARTRANS ](lineartrans/Lineartrans.md ) | Linear Transform | y = ax + b scaling transformation. |
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| [LOGNORMDIST ](lognormdist/Lognormdist.md ) | Log-normal Distribution | Log-normal probability distribution transform. |
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| [LOGTRANS ](logtrans/Logtrans.md ) | Logarithmic Transform | Natural log for percentage-based analysis. |
| [LOWEST ](lowest/Lowest.md ) | Rolling Minimum | Minimum value over lookback window. |
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| [MAXINDEX ](maxindex/Maxindex.md ) | Rolling Maximum Index | Position of maximum value in rolling window. |
feat: add new indicators (Decay, Edecay, MinusDi, MinusDm, PlusDi, PlusDm, Maxindex, Minindex, Sarext) and update pine scripts, core libs, validation tests, and python bindings
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| [MININDEX ](minindex/Minindex.md ) | Rolling Minimum Index | Position of minimum value in rolling window. |
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| [NORMALIZE ](normalize/Normalize.md ) | Min-Max Normalization | Scale to [0,1] range using rolling min/max. |
| [NORMDIST ](normdist/Normdist.md ) | Normal Distribution | Gaussian probability distribution transform. |
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| [POISSONDIST ](poissondist/Poissondist.md ) | Poisson Distribution | Poisson probability distribution transform. |
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| [RELU ](relu/Relu.md ) | Rectified Linear Unit | max(0, x); neural network activation function. |
| [SIGMOID ](sigmoid/Sigmoid.md ) | Logistic Function | 1/(1+e^-x); bounded [0,1] transform. |
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| [SLOPE ](slope/Slope.md ) | First Derivative | First derivative; velocity of price movement. |
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| [SQRTTRANS ](sqrttrans/Sqrttrans.md ) | Square Root Transform | Variance-stabilizing transformation. |
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| [TDIST ](tdist/Tdist.md ) | Student's t-Distribution | Student's t probability distribution transform. |
| [WEIBULLDIST ](weibulldist/Weibulldist.md ) | Weibull Distribution | Weibull probability distribution transform. |