AGbayLIB

Library "AGbayLIB"
Changes the timeframe period to the given period and returns the data matrix and sets the timeframe to the active time period

getTimeFrameValues(active_period_, period_, max_bars_)
  : add function description here
  Parameters:
    active_period_ (string): Current time frame period to be set after getting period_ data
    period_ (string): Target time period for returning data
    max_bars_ (int): The historical bar count to be get
  Returns: An array of data_row type with size of max_bars_ which includes rows of data:

data_row
  Fields:
    year (series__integer)
    month (series__integer)
    day (series__integer)
    hour (series__integer)
    minute (series__integer)
    second (series__integer)
    fulltime (series__string)
    open (series__float)
    close (series__float)
    high (series__float)
    low (series__float)
    volume (series__float)

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Unused import removed

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Added:
data_set
  Fields:
    symbol (series__string)
    time_period (series__string)
    count (series__integer)
    records (array__|data_row|#OBJ)

Updated:
getTimeFrameValues(symbol, period, max_bars, opens, closes, highs, lows, volumes, times)
  : Creates an data_set typed object, copies open,close,high,low,volume,time data into records and also calculates trends of records
  Parameters:
    symbol (string): Symbol
    period (string): Target time period for returning data
    max_bars (int): The historical bar count to be get
    opens (float): The historical bars of open data
    closes (float): The historical bars of open data
    highs (float): The historical bars of open data
    lows (float): The historical bars of open data
    volumes (float): The historical bars of open data
    times (int): The historical bars of open data
  Returns: An data_set object which contains array of data_row type which includes

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Updated:
data_row
  Contains candle values
  Fields:
    timestamp (series int): Time value of the candle
    year (series int): Extracted year value from time
    month (series int): Extracted month value from time
    day (series int): Extracted day value from time
    hour (series int): Extracted hour value from time
    minute (series int): Extracted minute value from time
    second (series int): Extracted second value from time
    fulltime (series string)
    open (series float): Open value of candle
    close (series float): Close value of candle
    high (series float): High value of candle
    low (series float): Low value of candle
    volume (series float): Volume value of candle
    trend (series int): Calculated trend value of candle
    trend_count (series int): Calculated trending candle count of active candle

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Added:
agSetting
  Fields:
    symbol (series__string)
    period (series__string)
    iperiod (series__integer)
    max_bar_count (series__integer)
    min_trend_count (series__integer)
    tenkansen_count (series__integer)
    kijunsen_count (series__integer)

agCandle
  Contains candle values
  Fields:
    timestamp (series int): Time value of the candle
    year (series int): Extracted year value from time
    month (series int): Extracted month value from time
    day (series int): Extracted day value from time
    dayofweek (series int)
    hour (series int): Extracted hour value from time
    minute (series int): Extracted minute value from time
    second (series int): Extracted second value from time
    fulltime (series string)
    barindex (series int)
    open (series float): Open value of candle
    close (series float): Close value of candle
    high (series float): High value of candle
    low (series float): Low value of candle
    volume (series float): Volume value of candle
    resistantance (series bool)
    supply (series bool)
    trend (series int): Calculated trend value of candle
    trend_count (series int): Calculated trending candle count of active candle

agZigZagNode
  Fields:
    candle (|agCandle|#OBJ)
    candle_index (series__integer)
    trend (series__integer)
    pinnedCandle (|agCandle|#OBJ)
    pinned_candle_index (series__integer)

agSymbolCandles
  Fields:
    setting (|agSetting|#OBJ)
    count (series__integer)
    candles (array__|agCandle|#OBJ)
    zigzag_nodes (array__|agZigZagNode|#OBJ)

Updated:
getTimeFrameValues(setting, opens, closes, highs, lows, volumes, times, bar_indexes)
  : Creates an data_set typed object, copies open,close,high,low,volume,time data into records and also calculates trends of records
  Parameters:
    setting (agSetting)
    opens (float): The historical bars of open data
    closes (float): The historical bars of open data
    highs (float): The historical bars of open data
    lows (float): The historical bars of open data
    volumes (float): The historical bars of open data
    times (int): The historical bars of open data
    bar_indexes (int)
  Returns: An agSymbolCandles object which contains array of agCandles type which includes

Removed:
data_row
  Contains candle values

data_set

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Added:
isBearishBullish(setting, copen, cclose, clow, chigh)
  : Searches bearish and bullish order blocks
  Parameters:
    setting (agSetting): setting parameters for calculation
    copen (float)
    cclose (float)
    clow (float)
    chigh (float)
  Returns: Tuple

Updated:
agCandle
  Contains candle values
  Fields:
    timestamp (series int): Time value of the candle
    year (series int): Extracted year value from time
    month (series int): Extracted month value from time
    day (series int): Extracted day value from time
    dayofweek (series int)
    hour (series int): Extracted hour value from time
    minute (series int): Extracted minute value from time
    second (series int): Extracted second value from time
    fulltime (series string)
    barindex (series int)
    open (series float): Open value of candle
    close (series float): Close value of candle
    high (series float): High value of candle
    low (series float): Low value of candle
    volume (series float): Volume value of candle
    resistantance (series bool)
    supply (series bool)
    trend (series int): Calculated trend value of candle
    trend_count (series int): Calculated trending candle count of active candle
    is_order (series bool)
    is_white (series bool)
    is_bullish (series bool)