Fisher Transform Signals from Normalized HL2 Prices
Summary
This strategy uses the Fisher transform of HL2, the midpoint of each bar’s high and low, to create directional signals. It finds the recent range over a configurable lookback, normalizes HL2 within that range, smooths the normalized value, clamps it near the transform’s limits, and applies a logarithmic transform. A positive Fisher value signals a long position and a negative value signals a short position; an option reverses those directions.
The document explains the indicator’s intended role in highlighting price extremes and possible turns, and gives a sample configuration and backtest period for BTC-USDT futures. It reports no performance results, so it does not establish that the approach is profitable or that the transformed values reliably predict reversals. The source also cautions that the indicator can lag and that choppy conditions may produce losses. It suggests further trend and timeframe checks, parameter adjustment, and stop management, but these additions are not evaluated in the supplied material.
Key ideas
- The strategy normalizes HL2 within its recent high-low range before applying a smoothed Fisher transform.
- A positive or negative transformed value determines the long or short direction, with an option to reverse the signal.
- The example uses a lookback length of 10 and describes a BTC-USDT futures backtest period, but supplies no performance results.
- The document identifies lag, false signals in choppy markets, and poorly chosen reverse settings as risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.