Stochastic-Based EA with Scaling, Trailing Stops, and Equity Controls
Summary
This document outlines an automated strategy using two Stochastic indicators, with listed parameters for buy and sell levels. It says trades are evaluated using the open price of the current candle and notes that the EA is intended for major forex pairs and NASDAQ stocks. The inputs also include fast and slow moving averages and momentum triggers, though the document does not explain how these indicators combine to determine entries or exits.
Trade management options include fixed stop-loss and take-profit distances, money- or percentage-based profit targets, a money-based trailing stop for multiple trades, break-even settings for a single trade, and an equity-based drawdown control. Position size can increase after losses through an exponent or increase factor, and a maximum trade count is configurable. The author advises trying the EA on a demo account, but supplies no backtest, live results, precise signal logic, or risk-of-ruin analysis. Consequently, the parameter list describes available controls rather than establishing that the strategy is profitable or suitable for a particular market.
Key ideas
- The EA uses two Stochastic indicators and exposes buy and sell threshold settings.
- Moving average and momentum parameters are listed, but their role in trade signals is not specified.
- Risk controls include stop losses, equity limits, trailing stops, and break-even settings.
- Position size may increase after a losing trade, creating potentially larger exposure.
- The document gives no performance evidence and recommends demo testing.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.