A Long-Only Bitcoin Strategy Using a Weighted Technical Score
Summary
This Bitcoin strategy combines normalized technical features into a weighted score for long entries. Inputs include fast and slow exponential moving averages, rate of change, price distance from a volume-weighted average, volume, and a regression slope. A trend regime requires the fast average to exceed the slow average while price remains above the slower average. The score must also exceed a threshold to open a position; exits can follow a weaker score or a drop below the fast average.
Position quantity is calculated from strategy equity and a leverage setting. Before runner mode, the script manages an ATR-based stop, a percentage hard stop, and a distant ATR-based target. After a configurable profit trigger, it switches to a hard stop and can close on a bearish higher-timeframe condition. The page claims strong returns but provides no supporting test data, assumptions, or market history. The code and its adjustable settings alone do not validate the claim or establish live-trading risk.
Key ideas
- A weighted score combines trend, momentum, mean-reversion, volume confirmation, and price slope features.
- A moving-average regime filter restricts new entries to bullish conditions.
- The strategy sizes long positions using equity and a configurable leverage multiplier.
- Trade management shifts from ATR stop and target orders to a runner mode after a profit threshold.
- The document makes a performance claim but provides no evidence or backtest details to substantiate it.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.