Hawk Eye Short-Term Signals with Moving Averages, MACD, and Stochastics

Summary

The Hawk Eye strategy combines moving-average and momentum conditions to seek short-term trades on a one-hour chart. Its description uses a fast and slow exponential moving average, MACD direction, VWMA comparisons, and Stochastic conditions; it also discusses RSI as a signal filter. The code specifies EMA periods of 21 and 55, MACD smoothing of 8, and VWMA periods of 55 and 144. Long and short entries are gated by MACD movement and the relative VWMA levels, with Stochastic thresholds and direction providing additional conditions.

The document frames the indicator combination as a way to filter signals, but supplies no backtest results or measured win rate. It warns that frequent trading raises costs and monitoring demands, while tuning several indicators can overfit historical data. It also recommends exploring stop losses, position sizing, and tests across products. The prose is not fully consistent about the precise VWMA periods and the role of RSI, so the implementation details should be checked directly before using the described rules.

Key ideas

• The strategy seeks one-hour trades using moving-average, MACD, VWMA, and Stochastic conditions.
• The code uses fast and slow EMA periods of 21 and 55 and VWMA periods of 55 and 144.
• The written account mentions RSI filtering, but the shown entry logic relies on Stochastic conditions instead.
• Frequent trading can add costs and requires timely monitoring.
• The document provides no measured evidence of performance and identifies overfitting as a risk.

Tags

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