Library "AGbayLIB" Changes the timeframe period to the given period and returns the data matrix[cyear, cmonth, cday, chour, cminute_, csecond, cfulltime, copen, cclose, chigh, clow, cvolume] 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: [year, month, day, hour, minute_, second, fulltime, open, close, high, clow, volume]
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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v3
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 [timestamp, year, month, day, hour, minute, second, fulltime, open, close, high, clow, volume, trend]
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v4
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v5
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v6
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v7
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v8
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v9
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v10
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v11
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v12
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v13
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v14
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v15
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v16
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v17
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v18
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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v19
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v20
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
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 [timestamp, year, month, day, hour, minute, second, fulltime, open, close, high, clow, volume, trend]
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)