fintech-algorithms
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Hurst Exponent

Install and import#

bash
npm install fintech-algorithms
ts
import { hurstExponent } from "fintech-algorithms/geometric-chart-patterns/market-structure-breakouts-and-regimes/hurst-exponent";

Signature#

hurstExponent(input)

A rolling rescaled-range estimate: over each window of period closes it takes the range of the mean-adjusted cumulative sum, divides by the window's standard deviation, and reports log(R/S) / log(period).

Parameters#

NameTypeNotes
inputTopicInputbars is the required OHLCV history, strictly ordered by timestamp and on a single adjustment basis. parameters.period (default 20, integer of at least 2) sets the window and the log base.

Returns#

TopicResult

series and latest carry a single value key. The warm-up is period - 1 bars, so with the default ready_at is 19; value is additionally null on any window whose cumulative-deviation range or standard deviation is zero, which is what a perfectly flat stretch gives.

Warm-up#

The first period - 1 bars (19 by default) positions are null. The window spans indices i-period+1 through i inclusive, so index period - 1 is the first with a full window.

Errors#

  • When period is supplied as a non-integer or as a value below 2 — throws Error
  • When a bar's close is not a finite number — throws Error

Complexity: time O(n × period), space O(n).

Worked example#

executed Captured by running this function on the input its own test provides. Real output of real code — but not asserted against a published figure.

Input#

input
{
  "bars": [
    {
      "timestamp": "2024-01-02",
      "basis": "synthetic-unadjusted",
      "open": 100,
      "high": 101.45,
      "low": 98.695,
      "close": 100,
      "volume": 750000,
      "benchmark": 200
    },
    {
      "timestamp": "2024-01-03",
      "basis": "synthetic-unadjusted",
      "open": 101.49111452,
      "high": 103.38381693,
      "low": 100.05480022,
      "close": 101.78791214,
      "volume": 795117,
      "benchmark": 200.56326135
    },
    {
      "timestamp": "2024-01-04",
      "basis": "synthetic-unadjusted",
      "open": 102.45519048,
      "high": 104.6701838,
      "low": 100.91147007,
      "close": 102.9549389,
      "volume": 840234,
      "benchmark": 201.11020913
    }
  ],
  "parameters": {}
}

Call#

hurstExponent(input)

Returns#

object with 9 fields: topic_id, title, state, ready, ready_at, series, latest, parameters, …

{
  "topic_id": "D08-F07-A09",
  "title": "Hurst Exponent",
  "state": "calculated",
  "ready": true,
  "ready_at": 19,
  "series": {
    "value": [null, null, null, null, null, null]
  },
  "latest": {
    "value": 0.6970566842387678
  },
  "parameters": {},
  "diagnostics": {
    "causal": true,
    "input_count": 96
  }
}

Diagrams#

Hurst Exponent — article hero
Hurst Exponent — concept map
Hurst Exponent — decision comparison
Hurst Exponent — worked example

Calculation flow#

Hurst Exponent calculation flow
flowchart LR
    A["ordered OHLC observations, explicit lookbacks and threshol"] --> B["Validate order, basis, and finite values"]
    B --> C["Apply the selected Hurst Exponent convention"]
    C --> D["Emit value, readiness, and diagnostics"]
    D --> E["Interpret descriptively; test outcomes separately"]
    B -->|invalid or insufficient| X["Withhold output with a reason"]
Hurst Exponent readiness and evidence states
stateDiagram-v2
    [*] --> Waiting
    Waiting --> Ready: enough valid causal observations
    Waiting --> Rejected: malformed or unsupported input
    Ready --> Calculated: selected formula applied
    Calculated --> Interpreted: diagnostic and limitation retained
    Interpreted --> Ready: next observation arrives
    Rejected --> Waiting: corrected input and deterministic reset

How it works#

This page states the contract — how to call it correctly. The article explains the concept: why it works, and where it breaks.

Read the article →

References#

  • CFA Institute technical-analysis overview — see linked primary or authoritative record
  • TA-Lib maintained source — see linked primary or authoritative record
  • Long-Term Storage Capacity of Reservoirs — see linked primary or authoritative record
  • Evidence decision
  • Level 1 evidence map

The rest of the Market Structure, Breakouts, and Regimes family#