PINE LIBRARY

AGbayLIB

Aktualisiert

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)

Versionshinweise

Unused import removed

Versionshinweise

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]

Versionshinweise

v10

Versionshinweise

v11

Versionshinweise

v12

Versionshinweise

v13

Versionshinweise

v14

Versionshinweise

v15

Versionshinweise

v16

Versionshinweise

v17

Versionshinweise

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

Versionshinweise

v19

Versionshinweise

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

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 [timestamp, year, month, day, hour, minute, second, fulltime, open, close, high, clow, volume, trend]

Removed:
data_row
Contains candle values

data_set

Versionshinweise

v21

Versionshinweise

v22

Versionshinweise

v23

Versionshinweise

v24

Versionshinweise

v25

Versionshinweise

v26

Versionshinweise

v27

Versionshinweise

v28

Versionshinweise

v29

Versionshinweise

v30

Versionshinweise

v31

Versionshinweise

v32

Versionshinweise

v33

Versionshinweise

v34

Versionshinweise

v35

Versionshinweise

v36

Versionshinweise

v37

Versionshinweise

v38

Versionshinweise

v39

Versionshinweise

v40

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: [bullishOB, bearishOB, OB_bull, OB_bull_chigh, OB_bull_clow, OB_bull_avg, OB_bear, OB_bear_chigh, OB_bear_clow,OB_bear_avg] 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)

Pine Bibliothek

Ganz im Sinne von TradingView hat dieser Autor seinen/ihren Pine Code als Open-Source-Bibliothek veröffentlicht. Auf diese Weise können nun auch andere Pine-Programmierer aus unserer Community den Code verwenden. Vielen Dank an den Autor! Sie können diese Bibliothek privat oder in anderen Open-Source-Veröffentlichungen verwenden. Die Nutzung dieses Codes in einer Veröffentlichung wird in unseren Hausregeln reguliert.

agbay

Haftungsausschluss

Die Informationen und Veröffentlichungen sind nicht als Finanz-, Anlage-, Handels- oder andere Arten von Ratschlägen oder Empfehlungen gedacht, die von TradingView bereitgestellt oder gebilligt werden, und stellen diese nicht dar. Lesen Sie mehr in den Nutzungsbedingungen.