Multi-Indicator Long Trend Strategy with ATR Volatility and Volume Filters

Summary

This strategy combines short and longer simple moving averages, ATR, RSI, MACD, and volume to create long-entry signals on volatile markets. It requires the fast average to exceed the slow one, the current bar’s range to exceed an ATR multiple, RSI to remain between stated bounds, MACD to be positive and above its signal line, volume to exceed its moving average threshold, and the close to sit above the fast average. The accompanying description adds a recent-data filter and presents dynamic profit targets, fixed and ATR-based stops, and a trailing exit.

The document supplies Pine Script and a Binance BTC/USDT futures backtest period, but no reported returns, trade statistics, or plotted evidence to assess the claims. The implementation is long-only and uses many simultaneous conditions, which may reduce trade frequency and invite parameter overfitting. The narrative’s broad claims about risk controls and target ranges should be treated cautiously: the code’s exits are calculated from the current close and its trailing stop is separately specified, so behavior depends on platform execution semantics. Fees, slippage, and position sizing are not established by the supplied results.

Key ideas

• Long entries require agreement among moving-average trend, ATR range, RSI bounds, MACD direction, volume, and price position.
• A recent-data filter is described alongside an hourly trading design for volatile instruments.
• The code defines a profit target, a percentage stop combined with an ATR stop, and a separate trailing exit.
• The supplied example uses futures BTC/USDT, but the document reports no performance statistics.
• The number of filters and parameters creates overfitting and trading-cost concerns, while short entries are absent.

Tags

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