Multi-Indicator Market Regimes with Adaptive Signal Scoring

Summary

This framework combines trend, momentum, volume, volatility, and candle-pattern inputs to classify the market into ten named states. It describes indicators including EMA, MACD, RSI, ATR, and volume averages, then assigns different weights to signals depending on the detected state. A weighted score is mapped to a 0–100 range: scores above 65 are treated as strong buy signals and those below 35 as strong sell signals. Long entries are associated with bull, eagle, or momentum states; short entries with bear or wolf states, and positions close when their entry conditions cease to hold.

The document explains the classification rules and sample weighting and scoring logic, but gives no backtest results or independent evidence of effectiveness. It acknowledges sensitivity to thresholds, delayed regime detection, false breakouts, overtrading, and overfitting risks from system complexity. Suggested extensions include adapting parameters, using multiple timeframes, and adding position and drawdown controls; these are proposals rather than demonstrated improvements.

Key ideas

• The framework combines technical, volume, volatility, and candle-pattern signals to classify ten market states.
• Indicator weights vary by regime, and a composite score guides directional entries.
• Long and short positions are tied to specific regimes and score thresholds, with exits when conditions fail.
• The document describes the model logic but supplies no performance evidence and identifies complexity and overfitting risks.

Tags

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