Trend and Reversal Signals from Decomposition, Volume, and Bollinger Bands
Summary
This strategy combines a smoothed trend estimate from a time-series decomposition filter with volume-weighted price, Bollinger Band position measures, and a change in the difference between OBV and PVT. It compares Bollinger %B readings for price and the volume-derived series, then uses their spread, threshold zones, trend direction, and selected candle or range conditions to form long and short entries. Position exits are governed by opposing signals, with an additional cancellation condition for a long trade.
The document argues that these inputs can help assess trend, overbought or oversold conditions, and price-volume divergence. It also warns that the many parameters make tuning difficult, choppy periods may cause losses, and divergence does not remove misleading signals. Stop-loss and take-profit defaults are given, but no measured backtest performance is reported. Published settings specify an hourly BTC/USDT futures run for about a month, while the source’s date-range inputs are separate and do not clearly constrain trading; this limits what can be inferred from the stated setup.
Key ideas
- A decomposition filter estimates trend before volume-weighted price is calculated.
- Bollinger %B measures are applied to both price and a transformed OBV-PVT series.
- Their relative position and crossover conditions combine with trend and candle filters to trigger trades.
- The strategy includes configurable stop-loss and take-profit levels.
- Complex tuning, choppy markets, and imperfect divergence signals are stated limitations.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.