TD Sequential Support and Resistance with Moving Average Filters

Summary

This strategy combines consecutive price comparisons, moving averages, and configurable trend filters to generate long and short signals. Its support and resistance logic tracks runs of closes relative to the close four bars earlier; after a configurable count, it looks for a trade in the corresponding direction. A moving average condition filters entries, and the strategy can close positions when price crosses its exit average. The published settings also include percentage profit targets and stop losses, plus choices for SMA, EMA, or VWMA calculations.

The document describes adjustable rules and risks, including whipsaw losses, mistaken level identification, and repeated losses during trends. It suggests tuning the lookback and moving average settings or adding trend measures. A BTC-USDT Binance futures backtest interval is specified, but no results or performance statistics are reported. The prose and source do not align fully on the exact entry and stop logic, so implementation details should be checked before interpreting or evaluating the strategy.

Key ideas

• The setup identifies support and resistance from consecutive closes compared with prices four bars earlier.
• Long and short signals depend on configurable consecutive price-count thresholds.
• Moving averages can filter entries and provide price-based exits, with SMA, EMA, and VWMA choices.
• The published configuration includes optional percentage profit targets and stop losses.
• The document lists a BTC-USDT futures test interval but gives no performance results.

Tags

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