Aktualisiert
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)
Versionshinweise
Key Fixes:Library Changes:
Added array size trimming for safety
Simplified the security call while maintaining functionality
Versionshinweise
v3Added:
f_get4H_81()
f_get4H_243()
Versionshinweise
v4Removed:
f_get4H_3()
f_get4H_27()
f_get4H_81()
f_get4H_243()
Versionshinweise
v5Added:
getOHLCV(tf, count)
Parameters:
tf (string)
count (int)
getSupportedTimeframes()
getSupportedCounts()
Removed:
f_get4H_9()
Versionshinweise
v6Added:
getAvailableCandleCount(tf)
Parameters:
tf (string)
Removed:
getSupportedCounts()
Versionshinweise
v7Versionshinweise
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)
Versionshinweise
v9Versionshinweise
v10Updated:
getOHLCV(timeframe, symbol, length)
Parameters:
timeframe (string)
symbol (string)
length (int)
Removed:
getAvailableHistory(tf)
getFirstValidIndex(tf)
getTimeAt(data, index)
getSupportedTimeframes()
Versionshinweise
v11Added:
getTimeframeData(timeframe, symbol)
Parameters:
timeframe (string)
symbol (string)
TimeframeData
Fields:
ohlcv (OHLCV)
isAdjustedToChartTF (series bool)
isTargetBarClosed (series bool)
Removed:
getOHLCV(timeframe, symbol, length)
Versionshinweise
v12Versionshinweise
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)
Versionshinweise
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)
Versionshinweise
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>)
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.
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.