Multi-Timeframe Trading with Adaptive Market Regime Classification
Summary
This document describes a multi-indicator strategy intended to adapt its signals and risk controls to trending, ranging, volatile, or quiet conditions. It combines fast and slow EMAs with ATR thresholds, higher-timeframe RSI and MACD confirmation, and regime rules based on ADX, price range, Bollinger Band width, and ATR. Candlestick patterns require volume expansion, and a composite bullish or bearish score determines whether a signal qualifies. ATR is also used to set dynamic and trailing stops, while performance tracking is proposed as a way to adjust parameters by regime.
The document provides threshold examples and a detailed conceptual framework, but the supplied material does not establish measured results or validate the claimed adaptability. It acknowledges parameter sensitivity, regime-transition delays, computational complexity, reliance on technical data, and overfitting risk. It recommends forward testing and suggests possible additions such as sentiment, fundamental data, correlation analysis, and position sizing.
Key ideas
- The framework classifies conditions as trending, ranging, volatile, or quiet using indicator and price-range thresholds.
- Higher-timeframe RSI and MACD are used to confirm lower-timeframe signals.
- Candlestick patterns require volume confirmation, and a composite score gates entries.
- ATR-based stops adapt their distance to changing volatility.
- Complexity, transition delays, parameter sensitivity, and overfitting are identified as limitations.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.