EMA Slope and RSI Oscillator Entries with Stretch Filters
Summary
This strategy combines the slope of a long moving average with RSI-based signals to identify directional conditions and potential entries. The slope is normalized with an arctangent transformation to fit a centered oscillator scale, and a threshold creates a no-trade zone when the trend slope is weak. A separate stretch filter uses the distance between short and long moving averages to avoid entries when price action is considered overextended. The script description also lists optional divergence and slope-RSI entry modes, exit confirmation bars, trailing stops, and position sizing based on equity, cash, or fixed quantity.
The script notes that it evaluates at bar close to avoid intrabar repainting and says its default settings were tested on a BTCUSDT 15-minute market. That is not a reported performance result, and the provided document is truncated before the full logic and parameters are visible. The feature list alone therefore cannot establish how signals interact or whether the approach is profitable. Its many configurable filters also create parameter-selection and overfitting risks that require independent testing with trading costs included.
Key ideas
- The long moving average slope is normalized with an arctangent transform and compared with RSI.
- A slope threshold defines conditions in which the strategy avoids trading.
- A moving-average stretch filter is intended to screen out overextended entries.
- Optional entry modes include divergence and slope-RSI signals, with trailing stops and configurable sizing.
- The script evaluates at bar close, but the supplied text is incomplete and provides no performance evidence.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.