diff --git a/README.md b/README.md
index 60303d0fd..438bc6143 100644
--- a/README.md
+++ b/README.md
@@ -42,6 +42,12 @@ The "trading-signals" library provides a TypeScript implementation for common te
 1. Stochastic Oscillator (STOCH)
 1. Wilder's Smoothed Moving Average (WSMA)
 
+Utility Methods:
+
+1. Average
+1. Standard Deviation
+1. Rolling Standard Deviation
+
 ## Usage
 
 ```typescript
diff --git a/src/BBANDS/BollingerBands.ts b/src/BBANDS/BollingerBands.ts
index 4f5856622..958a92dae 100644
--- a/src/BBANDS/BollingerBands.ts
+++ b/src/BBANDS/BollingerBands.ts
@@ -3,7 +3,7 @@ import {SMA} from '../SMA/SMA';
 import {NotEnoughDataError} from '../error';
 import {BandsResult} from '../util/BandsResult';
 import {Indicator} from '../Indicator';
-import {getAverage} from '../util/getAverage';
+import {getStandardDeviation} from '../util';
 
 /**
  * Bollinger Bands (BBANDS)
@@ -42,8 +42,7 @@ export class BollingerBands implements Indicator<BandsResult> {
     }
 
     const middle = SMA.getResultFromBatch(this.prices);
-    const squareDiffs = this.prices.map((price: Big) => price.sub(middle).pow(2));
-    const standardDeviation = getAverage(squareDiffs).sqrt();
+    const standardDeviation = getStandardDeviation(this.prices, middle);
 
     this.result = {
       lower: middle.sub(standardDeviation.times(this.deviationMultiplier)),
diff --git a/src/start/startBenchmark.ts b/src/start/startBenchmark.ts
index fa5251124..75f202556 100644
--- a/src/start/startBenchmark.ts
+++ b/src/start/startBenchmark.ts
@@ -3,7 +3,7 @@ import {BollingerBands} from '../BBANDS/BollingerBands';
 import {SMA} from '../SMA/SMA';
 import {FasterSMA} from '../SMA/FasterSMA';
 import candles from '../test/fixtures/candles/100-candles.json';
-import {fasterGetAverage, getAverage} from '../util';
+import {fasterGetAverage, getAverage, getFasterStandardDeviation, getStandardDeviation} from '../util';
 
 const interval = 20;
 const prices = candles.map(candle => parseInt(candle.close, 10));
@@ -34,6 +34,12 @@ new Benchmark.Suite('Technical Indicators')
   .add('fasterGetAverage', () => {
     return fasterGetAverage(prices);
   })
+  .add('getStandardDeviation', () => {
+    return getStandardDeviation(prices);
+  })
+  .add('getFasterStandardDeviation', () => {
+    return getFasterStandardDeviation(prices);
+  })
   .on('cycle', (event: Event) => {
     console.info(String(event.target));
   })
diff --git a/src/util/getStandardDeviation.test.ts b/src/util/getStandardDeviation.test.ts
new file mode 100644
index 000000000..b3a75d893
--- /dev/null
+++ b/src/util/getStandardDeviation.test.ts
@@ -0,0 +1,30 @@
+import {SMA} from '../SMA/SMA';
+import {getFasterStandardDeviation, getStandardDeviation} from './getStandardDeviation';
+
+describe('getStandardDeviation', () => {
+  it('returns the standard deviation', () => {
+    const prices = [9, 2, 5, 4, 12, 7, 8, 11, 9, 3, 7, 4, 12, 5, 4, 10, 9, 6, 9, 4];
+    const std = getStandardDeviation(prices);
+    expect(std.toFixed(2)).toBe('2.98');
+  });
+
+  it('can be used to calculate a "Window Rolling Standard Deviation / Standard Deviation Over Period"', () => {
+    // Test data taken from:
+    // https://github.com/TulipCharts/tulipindicators/blob/v0.8.0/tests/untest.txt#L367-L369
+    const prices = [81.59, 81.06, 82.87, 83.0, 83.61];
+    const average = SMA.getResultFromBatch(prices);
+    const stdDev = getStandardDeviation(prices, average);
+    expect(stdDev.toFixed(2)).toBe('0.95');
+  });
+});
+
+describe('getFasterStandardDeviation', () => {
+  it('only works with the primitive data type number', () => {
+    const prices = [9, 2, 5, 4, 12, 7, 8, 11, 9, 3, 7, 4, 12, 5, 4, 10, 9, 6, 9, 4];
+    const std = getFasterStandardDeviation(prices);
+    expect(std.toFixed(2)).toBe('2.98');
+    const fivePrices = [81.59, 81.06, 82.87, 83.0, 83.61];
+    const stdDev = getStandardDeviation(fivePrices, SMA.getResultFromBatch(fivePrices));
+    expect(stdDev.toFixed(2)).toBe('0.95');
+  });
+});
diff --git a/src/util/getStandardDeviation.ts b/src/util/getStandardDeviation.ts
new file mode 100644
index 000000000..8ebae2325
--- /dev/null
+++ b/src/util/getStandardDeviation.ts
@@ -0,0 +1,22 @@
+import {fasterGetAverage, getAverage} from './getAverage';
+import Big, {BigSource} from 'big.js';
+
+/**
+ * Standard deviation calculates how prices for a collection of prices are spread out from the average price of these
+ * prices.
+ *
+ * @see https://www.mathsisfun.com/data/standard-deviation-formulas.html
+ * @see https://www.youtube.com/watch?v=9-8E8L_77-8
+ */
+export function getStandardDeviation(values: BigSource[], average?: BigSource): Big {
+  const middle = average || getAverage(values);
+  const squaredDifferences = values.map((value: BigSource) => new Big(value).sub(middle).pow(2));
+  return getAverage(squaredDifferences).sqrt();
+}
+
+export function getFasterStandardDeviation(values: number[], average?: number): number {
+  const middle = average || fasterGetAverage(values);
+  const squaredDifferences = values.map(value => value - middle).map(value => value * value);
+  const averageDifference = fasterGetAverage(squaredDifferences);
+  return Math.sqrt(averageDifference);
+}
diff --git a/src/util/index.ts b/src/util/index.ts
index 7670153d4..2346b3113 100644
--- a/src/util/index.ts
+++ b/src/util/index.ts
@@ -3,4 +3,5 @@ export * from './getAverage';
 export * from './getFixedArray';
 export * from './getMaximum';
 export * from './getMinimum';
+export * from './getStandardDeviation';
 export * from './HighLowClose';