PINE LIBRARY

Mis à jour

AGbayLIB

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)

Notes de version

Unused import removed

Notes de version

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]

Notes de version

v10

Notes de version

v11

Notes de version

v12

Notes de version

v13

Notes de version

v14

Notes de version

v15

Notes de version

v16

Notes de version

v17

Notes de version

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

Notes de version

v19

Notes de version

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

Notes de version

v21

Notes de version

v22

Notes de version

v23

Notes de version

v24

Notes de version

v25

Notes de version

v26

Notes de version

v27

Notes de version

v28

Notes de version

v29

Notes de version

v30

Notes de version

v31

Notes de version

v32

Notes de version

v33

Notes de version

v34

Notes de version

v35

Notes de version

v36

Notes de version

v37

Notes de version

v38

Notes de version

v39

Notes de version

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)

Bibliothèque Pine

Dans l'esprit TradingView, l'auteur a publié ce code Pine sous forme de bibliothèque open source afin que d'autres programmeurs Pine de notre communauté puissent le réutiliser. Bravo à l'auteur! Vous pouvez utiliser cette bibliothèque à titre privé ou dans d'autres publications open source, mais la réutilisation de ce code dans des publications est régie par nos Règles.

agbay

Clause de non-responsabilité

Les informations et publications ne sont pas destinées à être, et ne constituent pas, des conseils ou recommandations financiers, d'investissement, de trading ou autres fournis ou approuvés par TradingView. Pour en savoir plus, consultez les Conditions d'utilisation.

Bibliothèque Pine

agbay