Replacing Candle Signals with Adaptive Price Blocks and Market Statistics

Summary

This installment of a self-adapting algorithm series reviews weaknesses of a candle-count strategy, including unstable candle sizes, time-based entries during quiet markets, drawdowns, and instrument-specific historical tuning. The author proposes rebuilding around fixed-size price blocks, similar to but distinct from Renko, and using M1 data as a practical alternative to processing every tick. The blocks are intended to make price movement and profit or loss more directly comparable in points.

A statistical indicator measures the average vertical distance traveled in blocks across a chosen number of steps and multiple block sizes. The article compares those measurements with a combinatorial random-walk reference and with a sinewave analogy, proposing that different scales can exhibit trend-like or range-like behavior. Research across currencies, stocks, cryptocurrencies, and commodities is reported as showing broadly similar patterns, with some variation by asset and liquidity. This is a design rationale and an intermediate development report, not a complete strategy evaluation: the algorithm and its later tests are unfinished, and the observed statistical similarities do not by themselves establish profitability or reliable adaptation.

Key ideas

• The proposed redesign addresses candle variability, time-triggered entries, drawdowns, and reliance on instrument-specific historical optimization.
• Fixed-size price blocks are used to represent movement in points, with M1 data chosen to limit the resource cost of tick processing.
• The statistical method measures average vertical block movement over a fixed number of steps across several block sizes.
• Measurements are compared with a random-walk reference and a sinewave analogy to identify scales that may behave more like trends or ranges.
• The installment reports descriptive cross-market observations but does not provide a completed algorithm or evidence of profitable trading.

Tags

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