TickAtlas
oscillator 10 min read Updated 2026-03-21

Stochastic Oscillator (Stochastic)

The Stochastic Oscillator compares the closing price to the price range over a given period. It oscillates between 0 and 100, with %K and %D lines providing crossover signals.

TL;DR

  • Stochastic is a oscillator indicator used in technical analysis
  • Above 80 is overbought; below 20 is oversold. %K crossing %D from below is bullish; from above is bearish.
  • Best timeframes: M15, H1, H4
  • Skip to API docs →

What is Stochastic Oscillator?

The Stochastic Oscillator compares the closing price to the price range over a given period. It oscillates between 0 and 100, with %K and %D lines providing crossover signals.

How Stochastic is Calculated

formula 
%K = (Close - Lowest Low) / (Highest High - Lowest Low) × 100
%D = SMA(%K, 3)

Default period: 14

How to Interpret Stochastic

Above 80 is overbought; below 20 is oversold. %K crossing %D from below is bullish; from above is bearish.

Trading Strategies Using Stochastic

Strategy 1: Stochastic Crossover

Trade when %K crosses %D in overbought/oversold zones.

Entry Rules

Buy when %K crosses above %D below 20. Sell when %K crosses below %D above 80.

Exit Rules

Exit when opposite zone is reached or on reverse crossover.

Combining Stochastic with Other Indicators

Stochastic works best when combined with complementary indicators:

  • Stochastic + RSI: Combine for stronger confluence signals
  • Stochastic + Williams %R: Combine for stronger confluence signals
  • Stochastic + CCI: Combine for stronger confluence signals

Stochastic Across Different Timeframes

Stochastic works across all 7 timeframes but performs best on M15, H1, H4 for most trading styles.

M15 H1 H4

Learn about all 7 timeframes →

Accessing Stochastic via TickAtlas API

GET https://tickatlas.com/v1/indicator

Python Example

python 
import requests

url = "https://tickatlas.com/v1/indicator"
headers = {"X-API-Key": "YOUR_API_KEY"}
params = {
  "symbol": "EURUSD",
  "indicator": "Stoch_K",
  "timeframe": "H1"
}

response = requests.get(url, headers=headers, params=params)
data = response.json()
print(data)

Sample Response

200 OK 
{
  "symbol": "EURUSD",
  "indicator": "Stoch_K",
  "timeframe": "H1",
  "timestamp": "2026-03-21T14:00:00Z",
  "value": 58.43,
  "signal": "neutral"
}
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Common Mistakes to Avoid

  1. 1

    Taking every crossover signal without zone confirmation

  2. 2

    Using Stochastic in strongly trending markets where it stays overbought/oversold

Frequently Asked Questions

What is the difference between RSI and Stochastic?

RSI measures price velocity while Stochastic measures closing price position relative to the range. Stochastic is more sensitive and generates more signals. RSI is smoother and better for divergence.

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