ATR Trailing Stop Crossovers Confirmed by a Momentum Trend Filter

Summary

The implemented strategy uses an ATR-based trailing stop to adapt its distance from price as volatility changes. It enters long when the close crosses above that stop while the fast-minus-slow exponential-average spread is low but rising; it enters short when price crosses below the stop while the spread is high but falling. The script also calculates and plots simple and exponential averages, and draws separate order-block and liquidity-style signals, though those plotted signals are not used in the strategy’s entry orders.

The document includes parameters and a BTC/USDT futures backtest configuration for a stated period, but it supplies no performance figures or usable evidence of profitability. Its prose refers to STC and moving-average crossover concepts, yet the code’s variable labeled STC is simply an EMA spread and does not implement a stochastic cycle calculation. The strategy description also discusses loss limits and profit targets that are not applied in the shown entry and exit logic. These differences, along with lagging indicators and possible false crossovers, make the source behavior more reliable to assess than its narrative claims.

Key ideas

• The script trails an ATR-based stop and uses price crossings of that stop to trigger entries.
• Long and short signals require the EMA spread to be rising at a low level or falling at a high level, respectively.
• Order-block and swing-related signals are plotted separately and do not drive the strategy’s entries.
• The code’s so-called STC value is an EMA spread, rather than a stochastic cycle calculation.
• The stated backtest setup has no accompanying performance results, and described profit and loss limits are not applied in the shown logic.

Tags

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