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Technical Analysis

Price Oscillator

Definition

The Price Oscillator (also known as the Percentage Price Oscillator or PPO) is a trend-following momentum indicator that measures the difference between two moving averages of a security's price—typically a short-term and a long-term moving average. It is used to detect trend direction, momentum strength, and crossover signals.

Formula (PPO – Percentage Price Oscillator):

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Common default: EMA(12) and EMA(26)

Interpretation:

  • PPO > 0 and rising: Bullish momentum, trend strengthening
  • PPO < 0 and falling: Bearish momentum, trend weakening
  • Signal Line Crossover: Buy/sell triggers from PPO crossing its 9-period EMA
  • Histogram: Visualizes the distance between PPO and its signal line

Case Study

In October 2023, Reliance Industries provided a strong example of how the Price Oscillator can be used to identify trend shifts in the Indian market. The Price Oscillator, calculated as the difference between two moving averages (typically the 26-day and 12-day), helps traders measure momentum and confirm buy or sell signals. In early October, Reliance was trading near ₹2,340, and the Price Oscillator was slightly negative, showing that the short-term moving average was below the long-term one, indicating mild bearish momentum. However, around October 10, the stock started gaining strength, and the oscillator moved from negative to positive territory as the 12-day average crossed above the 26-day average. This crossover suggested a shift toward bullish momentum. Over the next week, the stock climbed steadily and reached ₹2,420 by October 18. Later in the month, as the oscillator peaked and began to flatten, traders used it as an early sign that momentum was slowing. Indeed, the price consolidated around ₹2,400 afterward.

Historical Reference

The Price Oscillator evolved from the classic MACD (Moving Average Convergence Divergence), developed by Gerald Appel in the late 1970s. The PPO variant introduced percentage-based scaling, making it ideal for comparing momentum across assets with different price levels (e.g., comparing a $20 stock with a $2,000 stock). It became widely adopted in institutional trading systems for cross-market analysis.

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