PINE LIBRARY

Indicators

Actualizado
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.
Notas de prensa
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.
Notas de prensa
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
MATHtechindicator

Biblioteca Pine

Siguiendo fielmente el espíritu TradingView, el autor ha publicado este código Pine como una biblioteca de código abierto, permitiendo que otros programadores de Pine en nuestra comunidad lo utilicen de nuevo. ¡Olé por el autor! Puede utilizar esta biblioteca de forma privada o en otras publicaciones de código abierto, pero tenga en cuenta que la reutilización de este código en una publicación se rige por las Normas internas.


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