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Key Takeaways

Difficulty:Advanced
Reliability:High
Category:volume
Timeframes:Daily, Weekly

Klinger Volume Oscillator

volumešŸ“Š Daily, Weekly

Measures long-term money flow trend while remaining sensitive to short-term fluctuations.

Formula

Code
KVO = EMA(VF, 34) - EMA(VF, 55)
Signal = EMA(KVO, 13)

Detailed Explanation

The Klinger Oscillator was developed by Stephen Klinger to track volume flow over time.

**Components:** - Volume Force (VF) based on trend and volume - Fast EMA (34) and slow EMA (55) - Signal line (13-period EMA of KVO)

Parameters

Fast
Default: 34
Fast EMA period
Slow
Default: 55
Slow EMA period
Signal
Default: 13
Signal line period

šŸ“ˆ Bullish Signals

KVO crosses above signal line, bullish divergence

šŸ“‰ Bearish Signals

KVO crosses below signal line, bearish divergence

Python Implementation

Klinger Oscillator calculation

Python
import pandas_ta as ta
kvo = ta.kvo(df['high'], df['low'], df['close'], df['volume'], fast=34, slow=55, signal=13)

TradingView Pine Script

JavaScript
//@version=5
indicator("Klinger Oscillator")
// Custom implementation or use built-in
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MT5 MQL5 Code

C++
// Custom implementation needed

Common Mistakes

āœ—Using on low volume instruments
āœ—Ignoring the signal line

Confirmation Signals

OBV
Price trends
MACD

Best For

Long-term volume analysisTrend confirmationDivergence trading

šŸ’” Pro Tips

  • •Good for confirming long-term trends
  • •Signal line crossovers like MACD
  • •Divergences are powerful signals
Last updated: December 29, 2024

Educational Disclaimer

This content is for educational purposes only and does not constitute financial or investment advice. Trading involves significant risk and you may lose your capital. Always consult a licensed financial advisor before making investment decisions.

Frequently Asked Questions