Stochastic Implied Volatility Skew (C#)
Stochastic Implied Volatility Skew The Stochastic Implied Volatility Skew strategy is built around Stochastic Implied Volatility Skew. Signals trigger when Stochastic confirms trend changes on intrada...
Stochastic Implied Volatility Skew
The Stochastic Implied Volatility Skew strategy is built around Stochastic Implied Volatility Skew.
Signals trigger when Stochastic confirms trend changes on intraday (5m) data. This makes the method suitable for active traders.
Stops rely on ATR multiples and factors like StochLength, StochK. Adjust these defaults to balance risk and reward.
Details
- Entry Criteria: see implementation for indicator conditions.
- Long/Short: Both directions.
- Exit Criteria: opposite signal or stop logic.
- Stops: Yes, using indicator-based calculations.
- Default Values:
StochLength = 14StochK = 3StochD = 3IvPeriod = 20StopLoss = 2mCandleType = TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Trend following
- Direction: Both
- Indicators: Stochastic, Skew
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday (5m)
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
I answer from what this page says. For anything else I will point you to the documentation.