Wave Trend Oscillator Crossovers with EMA and Volume Filters
Summary
This strategy uses a Wave Trend oscillator to generate directional entries. It smooths the average of the high, low, and close with an exponential moving average, normalizes the deviation from that average, and smooths the result again. Crosses of configured overbought and oversold thresholds define long and short signals. The description also proposes moving average and volume filters, plus take profit and stop loss exits.
The document supplies indicator equations, example threshold and exit settings, and a short backtest configuration for BTC/USDT futures. It reports no performance statistics, so it does not establish that the strategy is profitable or that its example settings are suitable elsewhere. Its stated limitations include parameter sensitivity, possible overfitting, whipsaws in choppy markets, and limited exit logic beyond fixed profit and loss levels. Testing across assets and timeframes, volatility filters, and more adaptive exits are suggested as possible improvements.
Key ideas
- The oscillator is built by smoothing average price and its absolute deviation, then applying a second smoothing step.
- Long and short entries are triggered by crosses of the oscillator through configured outer thresholds.
- Moving average and volume filters are proposed to reduce false signals.
- Fixed take profit and stop loss levels provide the described position exits.
- Choppy conditions and parameter selection can cause whipsaws or overfitting.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.