Multi-Indicator Signals with ATR-Based Position Sizing

Summary

This framework combines trend, momentum, volatility, and volume measures to form long and short signals. EMA alignment and the Ichimoku cloud set directional context, while RSI, MACD histogram, and Stochastic RSI conditions further screen entries. The stated long setup requires an upward EMA trend, RSI below 50, positive MACD histogram, Stochastic RSI below 80, and a bullish cloud; the short setup applies corresponding bearish conditions. ATR is used to scale position size as account equity and a chosen risk percentage divided by ATR.

The text also describes pivot levels, volume surges relative to a 20-period average, and a 50-period simple moving average as sentiment and liquidity aids. However, it reports no measured trading results. It explicitly notes that the implementation has no clear stop-loss and relies on opposite signals to close positions, and that many simultaneous filters may make signals scarce. Indicators can lag, and tuning many parameters risks overfitting. The supplied material is partly truncated, so not all implementation details can be checked; the described sizing formula also does not specify contract value or stop distance.

Key ideas

• The signal framework combines EMA direction, RSI, MACD histogram, Stochastic RSI, and Ichimoku cloud conditions.
• Position size is described as account risk divided by ATR to adjust exposure for volatility.
• Volume surges and pivot highs and lows are included as auxiliary market context.
• The text identifies lag, overfitting, sparse signals, and the absence of an explicit stop-loss as limitations.
• No backtest performance results are reported, and the provided source excerpt is incomplete.

Tags

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