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Multi-Indicator Trading Signals with ATR-Based Exits

Article Strategy library · Author: ianzeng123
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Summary

This strategy combines trend, momentum, volatility, and volume measures into strict long and short entry rules. The stated conditions include moving averages and ADX, RSI, MACD, stochastic and CCI readings, Bollinger Band breaks, volume confirmation, and moving-average crosses, with price relative to the 200-period average as a trend filter. Exits are specified using stop and target distances based on ATR, with the target set farther from entry than the stop.

The document discusses the appeal of combining independent market views, but also points out that many indicators can conflict, make signals rare, increase computation, and create overfitting risk. It proposes weighting or grouping indicators, classifying market regimes, simplifying correlated measures, and adapting risk controls. A short ETH/USDT futures backtest period is listed, but the document gives no performance results. The number and rigidity of conditions make empirical validation especially important before drawing conclusions about effectiveness.

Key ideas

  • Long and short signals combine trend, momentum, volatility, and volume conditions.
  • The rules require multiple confirmations, including a Bollinger Band break, volume expansion, a moving-average cross, and alignment with the 200-period average.
  • ATR determines the described stop and target distances, with a wider target than stop.
  • The document identifies conflicting indicators, sparse signals, computational demands, and overfitting as key risks.
  • Backtest settings are listed for ETH/USDT futures, but no results are provided.

Tags

FuturesTechnical indicatorsMomentumBreakoutRisk management

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