Momentum indicators measure the speed of movement.
NOTE: All configuration objects for all indicators are optional. If no configuration object is passed, the default configuration will be used. Likewise, you may also partially pass a configuration object, and the default values will be used for the missing properties.
The awesomeOscillator function calculates the awesome oscillator based on low and high daily prices for a given stock. It is an indicator used to measure market momentum.
Median Price = ((Low + High) / 2)
AO = 5-Period SMA - 34-Period SMA.
import { ao } from 'indicatorts';
const defaultConfig = { fast: 5, slow: 34 };
const result = ao(highs, lows, defaultConfig);
// Alternatively:
// const result = awesomeOscillator(highs, lows, defaultConfig);The chaikinOscillator function measures the momentum of the Accumulation/Distribution (A/D) using the Moving Average Convergence Divergence (MACD) formula. It takes the difference between fast and slow periods EMA of the A/D. Cross above the A/D line indicates bullish.
CO = Ema(fastPeriod, AD) - Ema(slowPeriod, AD)
import { cmo } from 'indicatorts';
const defaultConfig = { fast: 3, slow: 10 };
const { adResult, cmoResult } = cmo(highs, lows, closings, volumes, defaultConfig);
// Alternatively:
// const { adResult, cmoResult } = chaikinOscillator(highs, lows, closings, volumes, defaultConfig);Most frequently used fast and short periods are 3 and 10.
The ichimokuCloud, also known as Ichimoku Kinko Hyo, calculates a versatile indicator that defines support and resistence, identifies trend direction, gauges momentum, and provides trading signals.
Tenkan-sen (Conversion Line) = (9-Period High + 9-Period Low) / 2
Kijun-sen (Base Line) = (26-Period High + 26-Period Low) / 2
Senkou Span A (Leading Span A) = (Conversion Line + Base Line) / 2 projected 26 periods in the future
Senkou Span B (Leading Span B) = (52-Period High + 52-Period Low) / 2 projected 26 periods in the future
Chikou Span (Lagging Span) = Closing plotted 26 periods in the past.
import { ichimokuCloud } from 'indicatorts';
const defaultConfig = { short: 9, medium: 26, long: 52, close: 26 };
const { tenkan, kijub, ssa, ssb, leadingSpan } = ichimokuCloud(highs, lows, closings, defaultConfig);The percentagePriceOscillator function calculates a momentum oscillator for the price It is used to indicate the ups and downs based on the price. A breakout is confirmed when PPO is positive.
PPO = ((EMA(fastPeriod, prices) - EMA(slowPeriod, prices)) / EMA(longPeriod, prices)) * 100
Signal = EMA(9, PPO)
Histogram = PPO - Signal
import { ppo } from 'indicatorts';
const defaultConfig = { fast: 12, slow: 26, signal: 9 };
const { ppoResult, signal, histogram } = ppo(prices, defaultConfig);
// Alternatively:
// const { ppoResult, signal, histogram } = percentagePriceOscillator(prices, defaultConfig);The percentageVolumeOscillator function calculates a momentum oscillator for the volume It is used to indicate the ups and downs based on the volume. A breakout is confirmed when PVO is positive.
PVO = ((EMA(fastPeriod, volumes) - EMA(slowPeriod, volumes)) / EMA(longPeriod, volumes)) * 100
Signal = EMA(9, PVO)
Histogram = PVO - Signal
import { pvo } from 'indicatorts';
const defaultConfig = { fast: 12, slow: 26, signal: 9 };
const { pvoResult, signal, histogram } = pvo(volumes, defaultConfig);
// Alternatively:
// const { pvoResult, signal, histogram } = percentageVolumeOscillator(volumes, defaultConfig);The roc function calculates a unbounded momentum indicator for the closing prices. A rising ROC above zero typically indicates an uptrend whereas a falling ROC below zero indicates a downtrend.
ROC[i] = 0 when i < period
ROC[i] = (close[i] / close[i-period] - 1) * 100 when i >= period
import { roc } from 'indicatorts';
const defaultConfig = { period: 3 };
const result = roc(close, defaultConfig);
// Alternatively:
// const result = priceRateOfChange(close, defaultConfig);Ensure that the array close does not contain
The rsi function calculates a momentum indicator that measures the magnitude of recent price changes to evaluate overbought and oversold conditions using a window period.
RS = Average Gain / Average Loss
RSI = 100 - (100 / (1 + RS))
import { rsi } from 'indicatorts';
const defaultConfig = { period: 14 };
const result = rsi(closings, defaultConfig);
// Alternatively:
// const result = relativeStrengthIndex(closings, defaultConfig);The stochasticOscillator function calculates a momentum indicator that shows the location of the closing relative to high-low range over a set number of periods.
K = (Closing - Lowest Low) / (Highest High - Lowest Low) * 100
D = 3-Period SMA of K
import { stoch } from 'indicatorts';
const defaultConfig = { kPeriod: 14, dPeriod: 3 };
const { k, d } = stoch(highs, lows, closings, defaultConfig);
// Alternatively:
// const { k, d } = stochasticOscillator(highs, lows, closings, defaultConfig);The williamsR function calculates the Williams R based on low, high, and closing prices. It is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels.
WR = (Highest High - Closing) / (Highest High - Lowest Low)
import { willr } from 'indicatorts';
const defaultConfig = { period: 14 };
const result = willr(highs, lows, closings, defaultConfig);
// Alternatively:
// const result = williamsR(highs, lows, closings, defaultConfig);The information provided on this project is strictly for informational purposes and is not to be construed as advice or solicitation to buy or sell any security.
Copyright (c) 2022 Onur Cinar. All Rights Reserved.
The source code is provided under MIT License.