Market Structure and Liquidity Sweep Signals with Confluence Filters

Summary

This crypto futures approach combines market structure signals with an eight-factor confluence score. It describes using break-of-structure and change-of-character events, with inducement or liquidity-sweep detection, alongside RSI, MACD, an EMA trend filter, volume, volatility, timing, and higher-timeframe confirmation. Entries require a minimum score, while stops and targets are based on ATR and a stated risk-reward setting. The document also outlines per-trade, daily, weekly, and drawdown limits, plus a cooldown intended to manage repeated or correlated exposure.

The discussion reports a one-hour ETH futures backtest setup and gives performance assertions, but supplies no supporting results or detailed evaluation in the provided material. It flags sparse signals in sideways markets, potentially noisy inducement detection, parameter overfitting, slippage, and inadequate correlation controls. Its suggested changes include lowering risk, adding volatility and volume confirmation, and extending the cooldown. Treat its performance claims as unverified; the described limits and sizing logic also require independent review before practical use.

Key ideas

• Entries combine market structure events and inducement signals with a score across eight technical and market filters.
• The described risk controls include ATR-based exits, trade and periodic risk limits, and a maximum drawdown threshold.
• Inducement detection based on a short bar window may be noisy, particularly on lower timeframes.
• The document identifies correlated positions and changing market conditions as limitations of its risk controls.
• The supplied backtest configuration does not substantiate the performance claims made in the discussion.

Tags

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