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Multi-Timeframe AO, EMA, RSI, and PSAR Trend Strategy

Article Strategy library · Author: ianzeng123

Summary

This strategy combines the Awesome Oscillator (AO), a 100-period exponential moving average, the Relative Strength Index (RSI), and Parabolic SAR (PSAR) across several timeframes. Long signals require AO to turn positive, price to be above the EMA, and RSI to be at least 50. Short signals use the inverse conditions. The described timeframes are five minutes for AO, one hour for the EMA and PSAR, and 15 minutes for RSI.

PSAR supplies a dynamic stop level, with a take-profit distance set at twice the distance to the stop. The document gives parameter defaults and published backtest settings for ETH/USDT futures, but reports no performance results. It also describes limitations including lagging indicators, sensitivity to parameter choices, choppy-market signals, and gaps that can bypass stops. Suggested extensions include volatility-based parameter adjustment, volume confirmation, trend filters, and position sizing; these are proposals, not tested findings.

Key ideas

  • AO direction, price relative to the EMA, and RSI thresholds jointly define long and short signals.
  • The strategy combines indicators calculated on different timeframes to confirm trend direction.
  • PSAR sets the stop level, while the target distance is twice the stop distance.
  • The document provides backtest settings but no reported performance evidence.
  • Lag, parameter sensitivity, ranging conditions, and stop slippage are stated risks.

Tags

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