PINE LIBRARY
Updated

Indicators

163
Library "Indicators"

cmf(lookback, n_to_smooth)
  Calculates the Chaikin's Money Flow.
  Parameters:
    lookback (simple int)
    n_to_smooth (simple int)
  Returns: float The Money Flow value.

cmma(lookback, atr_length)
  Calculates the CMMA (Close Minus Moving Average) indicator.
  Parameters:
    lookback (simple int)
    atr_length (simple int)
  Returns: float The CMMA value.

macd(fast_length, slow_length, n_to_smooth)
  Calculates the normalized and scaled MACD.
  Parameters:
    fast_length (simple int)
    slow_length (simple int)
    n_to_smooth (simple int)
  Returns: [float, float, float] A tuple containing [macd_n, macd_s, macd_diff].

stochK(length, n_to_smooth)
  Calculates a simplified Stochastic Oscillator.
Uses: 100 * ta.sma((close - lowest_low) / (highest_high - lowest_low), n_to_smooth)
  Parameters:
    length (simple int)
    n_to_smooth (simple int)
  Returns: float The Stochastic %K value.

williamsR(length)
  Calculates the Williams %R using the stochK function.
Uses: -1 * (100 - stoch(length, 1))
  Parameters:
    length (simple int)
  Returns: float The Williams %R value.
Release Notes
v2

Updated:
cmf(lookback, n_to_smooth)
  Calculates the Chaikin's Money Flow.
  Parameters:
    lookback (simple int)
    n_to_smooth (simple int)
  Returns: float The Money Flow value.

macd(fast_length, slow_length, n_to_smooth)
  Calculates the normalized and scaled MACD.
  Parameters:
    fast_length (simple int)
    slow_length (simple int)
    n_to_smooth (simple int)
  Returns: [float, float, float] A tuple containing [macd_n, macd_s, macd_diff].

williamsR(length)
  Calculates the Williams %R using the stochK function.
Uses: -1 * (100 - stoch(length, 1))
  Parameters:
    length (simple int)
  Returns: float The Williams %R value.
Release Notes
v3

Added:
volatility_risk(atr_length, lookback)
  Calculates a volatility-based risk measure.
  Parameters:
    atr_length (simple int)
    lookback (simple int)
  Returns: [float, float] Returns [NDlr, NDlr_diff]:
NDlr: Normalized Daily Loss Range (ATR * pointvalue)
NDlr_diff: Difference between NDlr and NDlr_threshold (NDlr - (NDlr_avg + NDlr_std))
A value <= 0 indicates NDlr <= NDlr_threshold

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.