Pivot Structure and EMA Alignment for Directional Crypto Trades
Summary
This strategy combines pivot-based market structure with moving-average alignment and hourly momentum indicators to generate directional trade setups. It identifies swing highs and lows using configurable bars on each side, classifies higher highs, lower lows, higher lows, and lower highs, and updates support and resistance levels. A directional trend state is based on price moving through those levels. Entry signals additionally require a strict ordering of several short EMAs relative to the 200-period EMA and a Supertrend direction condition; RSI and a Supertrend change gate actual order placement. Exits can occur on a short EMA crossover or when a position is losing beyond a configurable threshold.
The author recommends crypto charts, a 15-minute timeframe, coins priced above one USDT, and avoiding highly volatile coins, while also mentioning leverage and percentage targets. No verified performance data is provided. The hourly RSI and Supertrend requests use lookahead-on settings, which can introduce future-data leakage or repainting in historical signals. Treat the stated performance claims and settings as unvalidated, and inspect execution and risk behavior before relying on them.
Key ideas
- Pivot highs and lows define market structure, support, resistance, and a directional trend state.
- A sequence of aligned EMAs and a Supertrend direction condition contribute to long and short setups.
- Hourly RSI and Supertrend values gate order placement, while EMA crosses or adverse open profit can trigger exits.
- The script uses lookahead-on for higher-timeframe indicators, which can undermine historical signal reliability.
- The author’s crypto and timeframe recommendations are not supported by performance evidence in the document.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.