@thi.ng/transducers-stats

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About
Supported indicators
Status
Installation
Dependencies
Usage examples
API
Authors
License

About

Transducers for statistical / technical analysis. This is a support package for @thi.ng/transducers.

This package provides a set of transducers for technical (financial) and statistical analysis and replaces the older @thi.ng/indicators package.

The transducers provided here accept an optional input iterable, which allows them them to be used directly instead of having to wrap their call in one of the transducer execution functions (i.e. transduce(), iterator()). If executed this way, the functions will return a transforming ES6 iterator (generator) instead of a transducer.

Supported indicators

Status

STABLE - used in production

Search or submit any issues for this package

Installation

yarn add @thi.ng/transducers-stats

ESM import:

import * as ts from "@thi.ng/transducers-stats";

Browser ESM import:

<script type="module" src="https://esm.run/@thi.ng/transducers-stats"></script>

JSDelivr documentation

For Node.js REPL:

const ts = await import("@thi.ng/transducers-stats");

Package sizes (brotli'd, pre-treeshake): ESM: 1.75 KB

Dependencies

Note: @thi.ng/api is in most cases a type-only import (not used at runtime)

Usage examples

Three projects in this repo's /examples directory are using this package:

Description	Live demo	Source
ASCII art raymarching with thi.ng/shader-ast & thi.ng/text-canvas	Demo	Source
Basic crypto-currency candle chart with multiple moving averages plots	Demo	Source
Fork-join worker-based raymarch renderer (JS/CPU only)	Demo	Source

API

Generated API docs

import * as tx from "@thi.ng/transducers";
import * as stats from "@thi.ng/transducers-stats";

// Simple moving average (SMA) (sliding window size 5)
// if an input is given (as is the case here), then returns
// a transforming iterator instead of transducer
[...stats.sma(5, [1,2,3,4,5,10,11,12,13,14,9,8,7,6,5])]
// [ 3, 4.8, 6.6, 8.4, 10.2, 12, 11.8, 11.2, 10.2, 8.8, 7 ]

// compute multiple stats at once
tx.transduce(
    tx.comp(
        tx.multiplexObj({
            sma: stats.sma(5),
            ema: stats.ema(5),
            wma: stats.wma(5)
        }),
        // ignore first `period-1` values
        // (because MAs require at least `period` inputs to warm up)
        tx.drop(4)
    ),
    tx.push(),
    [1,2,3,4,5,10,11,12,13,14,9,8,7,6,5]
);
// [ { wma: 3.6666666666666665, ema: 3, sma: 3 },
//   { wma: 6, ema: 5.333333333333333, sma: 4.8 },
//   { wma: 8.066666666666666, ema: 7.222222222222221, sma: 6.6 },
//   { wma: 9.866666666666667, ema: 8.814814814814815, sma: 8.4 },
//   { wma: 11.4, ema: 10.209876543209877, sma: 10.2 },
//   { wma: 12.666666666666666, ema: 11.473251028806585, sma: 12 },
//   { wma: 11.666666666666666, ema: 10.64883401920439, sma: 11.8 },
//   { wma: 10.4, ema: 9.76588934613626, sma: 11.2 },
//   { wma: 9, ema: 8.843926230757507, sma: 10.2 },
//   { wma: 7.6, ema: 7.895950820505004, sma: 8.8 },
//   { wma: 6.333333333333333, ema: 6.93063388033667, sma: 7 } ]

Authors

Karsten Schmidt

If this project contributes to an academic publication, please cite it as:

@misc{thing-transducers-stats,
  title = "@thi.ng/transducers-stats",
  author = "Karsten Schmidt",
  note = "https://thi.ng/transducers-stats",
  year = 2017
}