This page describes how the Murray Money Pro signal model is designed to work. It is published for educational and transparency purposes only. Nothing here constitutes financial advice or a personal recommendation. Read our full disclaimer →
Signal Model Methodology
How the 0–6 model score system is designed — and what it means.
The 0–6 Model Score
Every asset in the Murray Money Pro signal matrix receives a model score from 0 to 6. The score is the sum of up to six binary model inputs — each input is either present (1) or absent (0). A higher score reflects more model conditions aligned in the same direction. It does not predict the future or guarantee any outcome.
The Six Model Inputs
Each of the six inputs is a binary check — the condition is either satisfied or it is not. All inputs are evaluated on the weekly timeframe for swing-level analysis. The inputs are:
Is the asset trading above its key long-term moving average (200-period)? A yes scores +1. This is the primary macro filter — the model does not take long positions in structural downtrends.
Is a momentum oscillator (such as RSI or a custom momentum indicator) in positive territory with directional strength? This filters out assets that are range-bound or losing momentum.
Is price action supported by above-average volume or on-chain accumulation signals? Volume and on-chain data are used to distinguish genuine moves from low-liquidity noise.
Has the asset formed a technically sound base, breakout, or continuation pattern? Structure is assessed through support/resistance, swing highs/lows, and pattern recognition.
Is the broader macro backdrop supportive? This input incorporates risk-on/risk-off conditions, USD strength, liquidity indicators, and the overall crypto market cycle stage.
Where does the asset sit within the current market cycle? This long-cycle input considers halving cycles for Bitcoin, capital rotation patterns, and relative performance versus BTC dominance.
The Three-Tier Indicator System
Murray Money Pro uses three tiers of Pine Script indicators, each designed for a different analytical timeframe. They are designed to be used together — lower tiers provide entry precision within the context set by higher tiers.
Macro trend direction. Used to determine whether the model is in a long bias or reduced exposure posture. Never trade against Tier 1.
Swing-level timing. Identifies entry zones, momentum shifts, and key price structures within the prevailing Tier 1 trend.
Short-term precision timing. Used for fine-tuning entries and exits. Always subordinate to Tier 1 and Tier 2 context.
Model Position Sizing Rules
The model uses two distinct sizing parameters. These are illustrative model design rules — they are not personal recommendations and do not account for your individual financial circumstances.
- It is not a guarantee of profit or a reliable predictor of future prices
- It is not personalised financial advice tailored to your circumstances
- It is not a fully automated trading system — all decisions remain yours
- It is not backtested to guarantee future replication of any historical outcome
- It is not regulated investment advice under the Financial Services and Markets Act 2000
Murray Money Pro is not authorised or regulated by the FCA. All model outputs are educational illustrations of how a rules-based system operates. Past model performance is not a reliable guide to future results. You must make your own independent assessment of any investment. Read the full risk warning →