Combining RSI, ATR and SuperTrend Conditions for Crypto Futures Signals

Summary

This strategy combines two RSI readings, a SuperTrend-style trend filter, and ATR-based volatility concepts to define long and short signals. The explanatory text describes longs when the fast RSI is below the slow RSI while price is above the trend line, and shorts under the reverse conditions; exits occur when either the RSI relationship or trend condition turns against the position. It also discusses using ATR to scale stops and targets, and gives example RSI lengths and a SuperTrend multiplier. Published backtest settings identify BTC/USDT futures and a date range, but no performance results are supplied.

There is a material mismatch between the description and the included source: its RSI comparisons are reversed from the stated entry rules, and its supposed SuperTrend value is calculated as ATR multiplied by a factor rather than a conventional price-based trend line. The code also does not show ATR-based stop or target orders. These differences make the implementation unclear, and the document’s suggested parameter tuning and testing do not establish profitability. The strategy may also suffer from lagging signals and premature stops.

Key ideas

• The described system combines fast-versus-slow RSI comparisons with a trend filter for entries and exits.
• ATR is presented as a way to account for changing volatility when setting trade risk levels.
• The published settings identify a BTC/USDT futures test period, but no test performance is reported.
• The source code’s RSI logic conflicts with the written rules, and its trend calculation does not match a conventional SuperTrend line.
• The document identifies lagging signals, parameter choice, and overly tight stops as risks.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.