Faytterro Estimator Inflection Signals for Pyramiding Trend Entries

Summary

This strategy uses the Faytterro Estimator to derive a convergence and divergence measure from price, fit a quadratic curve, and look for a change in its direction as a possible trend signal. The described implementation compares nearby curve values at selected array positions. It also applies minimum price gaps to space entries and distinguish ordinary signals from stronger, larger entries, producing a pyramiding approach in both long and short directions.

The document explains the indicator concept and adjustable entry filters, and gives a BTC/USDT futures backtest configuration spanning a stated period. It reports no outcome metrics, so the settings do not demonstrate profitability. The author notes risks from curve fitting, crude inflection-point interpretation, ranging markets, accumulated fees, and parameter sensitivity. The source has no stop-loss logic; the suggested improvements include adding risk limits, complementary filters, market-regime recognition, and more careful position scaling.

Key ideas

• The Faytterro Estimator uses a price convergence and divergence measure to construct a quadratic curve.
• Selected changes in the curve are interpreted as possible trend reversals or continuations.
• Minimum price gaps filter entries, while stronger signals can open larger positions.
• Pyramiding can increase exposure and trading costs, especially when signals are frequent.
• The described implementation lacks a stop loss and provides no backtest performance metrics.

Tags

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