Indicator
AI Explanation

Stochastic Oscillator

A momentum indicator comparing the closing price to the range of prices over a specific period.

Plain English Explanation

The Stochastic tells you where the current price is relative to recent highs and lows. It's asking: "Where are we in the recent range?"

**Simple analogy:** Imagine a ball bouncing between floor (0) and ceiling (100). Stochastic tells you how close the ball is to the ceiling or floor.

**Reading the numbers (0-100):**

- **Above 80:** Price is near the top of its recent range (overbought)

- **Below 20:** Price is near the bottom of its recent range (oversold)

**The two lines:**

- **%K (Fast line):** The main signal

- **%D (Slow line):** Smoothed version for confirmation

**Key signals:**

- %K crosses above %D while oversold = Buy signal

- %K crosses below %D while overbought = Sell signal

- Bullish divergence = Price makes lower low, Stochastic makes higher low

How It Works (Technical)

Stochastic calculates where the current close is within the high-low range of the lookback period (typically 14). %K = ((Current Close - Lowest Low) / (Highest High - Lowest Low)) × 100. %D is usually a 3-period SMA of %K.

When It Works Best

  • Range-bound markets
  • Timing entries in trending markets (buy oversold in uptrend)
  • Spotting momentum divergences
  • Short-term trading and scalping
  • Confirming reversal patterns

When It Fails

  • Strong trending markets (stays extreme for long periods)
  • Low volatility periods (gives weak signals)
  • When used as the only indicator
  • News and high-impact event trading
  • Choppy intraday action

Common Beginner Mistakes

  • 1Selling every overbought reading (deadly in uptrends)
  • 2Buying every oversold reading (deadly in downtrends)
  • 3Ignoring the trend direction
  • 4Not waiting for the crossover confirmation
  • 5Using default settings on all timeframes

Pro Tips

  • In uptrends, focus on oversold signals (buy dips)
  • In downtrends, focus on overbought signals (sell rallies)
  • Watch for divergences - they're high probability
  • Slow Stochastic (smoothed) gives fewer false signals
  • Combine with support/resistance levels for best results

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