PINE LIBRARY
Actualizado OHLCVData

OHLCV Data Power Library
Multi-Timeframe Market Data with Mathematical Precision
📌 Overview
This Pine Script library provides structured OHLCV (Open, High, Low, Close, Volume) data across multiple timeframes using mathematically significant candle counts (powers of 3). Designed for technical analysts who work with fractal market patterns and need efficient access to higher timeframe data.
✨ Key Features
6 Timeframes: 5min, 1H, 4H, 6H, 1D, and 1W data
Power-of-3 Candle Counts: 3, 9, 27, 81, and 243 bars
Structured Data: Returns clean OHLCV objects with all price/volume components
Pine Script Optimized: Complies with all security() call restrictions
📊 Timeframe Functions
pinescript
f_get5M_3() // 3 candles of 5min data
f_get1H_27() // 27 candles of 1H data
f_get1D_81() // 81 candles of daily data
// ... and 27 other combinations
🚀 Usage Example
pinescript
import YourName/OHLCVData/1 as OHLCV
weeklyData = OHLCV.f_get1W_27() // Get 27 weekly candles
latestHigh = array.get(weeklyData, 0).high
plot(latestHigh, "Weekly High")
💡 Ideal For
Multi-timeframe analysis
Volume-profile studies
Fractal pattern detection
Higher timeframe confirmation
⚠️ Note
Replace "YourName" with your publishing username
All functions return arrays of OHLCV objects
Maximum lookback = 243 candles
📜 Version History
1.0 - Initial release (2024)
Multi-Timeframe Market Data with Mathematical Precision
📌 Overview
This Pine Script library provides structured OHLCV (Open, High, Low, Close, Volume) data across multiple timeframes using mathematically significant candle counts (powers of 3). Designed for technical analysts who work with fractal market patterns and need efficient access to higher timeframe data.
✨ Key Features
6 Timeframes: 5min, 1H, 4H, 6H, 1D, and 1W data
Power-of-3 Candle Counts: 3, 9, 27, 81, and 243 bars
Structured Data: Returns clean OHLCV objects with all price/volume components
Pine Script Optimized: Complies with all security() call restrictions
📊 Timeframe Functions
pinescript
f_get5M_3() // 3 candles of 5min data
f_get1H_27() // 27 candles of 1H data
f_get1D_81() // 81 candles of daily data
// ... and 27 other combinations
🚀 Usage Example
pinescript
import YourName/OHLCVData/1 as OHLCV
weeklyData = OHLCV.f_get1W_27() // Get 27 weekly candles
latestHigh = array.get(weeklyData, 0).high
plot(latestHigh, "Weekly High")
💡 Ideal For
Multi-timeframe analysis
Volume-profile studies
Fractal pattern detection
Higher timeframe confirmation
⚠️ Note
Replace "YourName" with your publishing username
All functions return arrays of OHLCV objects
Maximum lookback = 243 candles
📜 Version History
1.0 - Initial release (2024)
Notas de prensa
Key Fixes:Library Changes:
Added array size trimming for safety
Simplified the security call while maintaining functionality
Notas de prensa
v3Added:
f_get4H_81()
f_get4H_243()
Notas de prensa
v4Removed:
f_get4H_3()
f_get4H_27()
f_get4H_81()
f_get4H_243()
Notas de prensa
v5Added:
getOHLCV(tf, count)
Parameters:
tf (string)
count (int)
getSupportedTimeframes()
getSupportedCounts()
Removed:
f_get4H_9()
Notas de prensa
v6Added:
getAvailableCandleCount(tf)
Parameters:
tf (string)
Removed:
getSupportedCounts()
Notas de prensa
v7Notas de prensa
v8Added:
getAvailableHistory(tf)
Parameters:
tf (string)
getFirstValidIndex(tf)
Parameters:
tf (string)
getTimeAt(data, index)
Parameters:
data (array<OHLCV>)
index (int)
Updated:
OHLCV
Fields:
open (series float)
high (series float)
low (series float)
close (series float)
volume (series float)
time (series int)
Removed:
getAvailableCandleCount(tf)
Notas de prensa
v9Notas de prensa
v10Updated:
getOHLCV(timeframe, symbol, length)
Parameters:
timeframe (string)
symbol (string)
length (int)
Removed:
getAvailableHistory(tf)
getFirstValidIndex(tf)
getTimeAt(data, index)
getSupportedTimeframes()
Notas de prensa
v11Added:
getTimeframeData(timeframe, symbol)
Parameters:
timeframe (string)
symbol (string)
TimeframeData
Fields:
ohlcv (OHLCV)
isAdjustedToChartTF (series bool)
isTargetBarClosed (series bool)
Removed:
getOHLCV(timeframe, symbol, length)
Notas de prensa
v12Notas de prensa
v13Updated:
OHLCV
Fields:
open (series float)
high (series float)
low (series float)
close (series float)
volume (series float)
time (series int)
bar_index (series int)
Notas de prensa
v14Added:
getCurrentChartOHLCV()
getPreviousChartOHLCV(offset)
Parameters:
offset (int)
getRangePercent(ohlcv)
Parameters:
ohlcv (OHLCV)
getBodySize(ohlcv)
Parameters:
ohlcv (OHLCV)
getUpperWick(ohlcv)
Parameters:
ohlcv (OHLCV)
getLowerWick(ohlcv)
Parameters:
ohlcv (OHLCV)
isBullish(ohlcv)
Parameters:
ohlcv (OHLCV)
isBearish(ohlcv)
Parameters:
ohlcv (OHLCV)
isValidTimeframeData(tf)
Parameters:
tf (TimeframeData)
manualHTFAggregate(barsBack)
Parameters:
barsBack (int)
Notas de prensa
v15Added:
getFirstTimestamp(src)
Parameters:
src (array<OHLCV>)
getLastTimestamp(src)
Parameters:
src (array<OHLCV>)
slice(src, start, end)
Parameters:
src (array<OHLCV>)
start (int)
end (int)
getHigh(src)
Parameters:
src (array<OHLCV>)
getLow(src)
Parameters:
src (array<OHLCV>)
getVolume(src)
Parameters:
src (array<OHLCV>)
Biblioteca Pine
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
Exención de responsabilidad
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Biblioteca Pine
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
Exención de responsabilidad
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.