Subscribe Guide and Data Dictionary
This directory maps out the elements of the RunProfits Company Cards. It provides insights into the data pipeline driving the WACE pre-market intelligence. It is intended to help subscribers understand the mechanics behind the method and the rigour in the process.
1. The Core Triad
The primary identifiers and the top-level systemic scoring governing the asset.
| UI Element | Exhaustive Definition & Application |
|---|---|
| Fundamental Anchor (Scale: -10 to +10) | The mathematical evaluation of the underlying business. It uses forward valuation multiples, free cash flow yield, debt reduction trajectories, and the velocity of earnings upgrades. A positive score proves the business is generating capital and beating City expectations. |
| Technical Momentum | The aggregate measurement of institutional capital flow. It evaluates price velocity, relative strength, and moving average alignment to determine if the market is actively buying or distributing the asset. |
| System Posture | The overarching structural classification of the equity based on the interaction between its fundamentals and technical momentum. Possible states include Aligned Resonance (strong business, strong price action), Value Capitulation (strong business, weak price action), Speculative Friction (weak business, strong price action), or Aligned Decay / Lag State (weak business, weak price action). |
2. RunProfits Master Insight
The sector context and the primary mathematical catalyst driving the algorithmic evaluation.
| UI Element | Exhaustive Definition & Application |
|---|---|
| Sector & Sector Peers | The macroeconomic category (e.g., Electronic and Electrical Equipment) and the exact ticker symbols of its direct publicly traded competitors. This establishes the baseline for all relative momentum calculations. |
| Catalyst Resonance Score | The most critical diagnostic metric in the system. It measures the structural agreement between the Fundamental Anchor and the Technical Momentum.
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| Brokers | The number of institutional analysts covering and building financial models for the stock. Ensures the consensus data is backed by sufficient liquidity rather than isolated, low-conviction opinions. |
3. Fundamental Narrative
The plain-English translation of the underlying algorithms.
| UI Element | Exhaustive Definition & Application |
|---|---|
| Valuation | Contrasts the asset's specific Forward Price-to-Earnings multiple against the median average of its exact sector. Explicitly states whether the asset is trading at a Discount or a Premium, quantifying the structural margin of safety. |
| Consensus Target | Identifies exactly where the current share price sits relative to the aggregate 12-month broker price target, citing the remaining potential Upside Percentage left in the trade according to City analysts. |
4. Strategic Setup & Guidance
The active technical parameters and historical corporate baselines governing the immediate trade.
| UI Element | Exhaustive Definition & Application |
|---|---|
| Active Setup | The potenetial technical setup describing the current price action and mechanics. The system use these specific setups:
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| Prior Guidance & Baseline | Abstraction of the company's most recent Regulatory News Service (RNS) announcement. Lists the most significant financial metrics (revenue, margins, cash flow) and forward-looking corporate statements, serving as the factual baseline for response inferences absed on these expectations. |
5. Quantitative Cross-Correlation & Inference Engine
The core heuristic engine that tests management narrative against quantitative fact.
| UI Element | Exhaustive Definition & Application |
|---|---|
| Quantitative Cross-Correlation | A diagnostic narrative that cross-references the Prior Guidance against the actual Fundamental Anchor metrics.
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| Market Inference | Establishes the priced-in reality. By cross-referencing the valuation premium/discount against the System Posture, this infers what is already priced-in. |
| Consensus Alignment | Projects the market reaction IF the upcoming earnings simply match the priced-in expectation. Typically forecasts lateral consolidation or volatility contraction. |
| Bullish Deviation | The projected upside response IF the asset materially beats expectations. It provides the structural ceiling that is likely to be targeted, including the Delta Percentage to that target. |
| Bearish Deviation | The projected downside response IF the asset materially misses expectations. It suggests the structural support floor that may be tested, including Delta Percentage downside. |
6. Structural & Friction Reality
The metrics dictating trading conditions and market mechanics.
| UI Element | Exhaustive Definition & Application |
|---|---|
| RSI (14) State | Evaluates the 14-day Relative Strength Index. Classifies the asset as Oversold (extreme selling, potential bounce), Neutral (stable trend), or Overbought (over-extended, high risk of pullback). |
| Short Exposure | Rates the level of active short-selling against the asset as Elevated or Nominal. Elevated exposure warns of underlying structural risks, but also highlights the potential for violent, forced short-squeezes on positive news. |
| Volatility Squeeze State | Measures Bollinger Band compression. If flagged as ELEVATED (MA Clustering), it warns subscribers that standard moving averages have tightly converged, and a severe expansion in price volatility is imminent. |
7. Market Data & Key Metrics
The raw, unvarnished statistical figures powering the engine.
| UI Element | Exhaustive Definition & Application |
|---|---|
| Close Price, 52W High, 52W Low | The last recorded trading price alongside the yearly extremes, establishing the psychological range of the asset. |
| Volume (Raw) & Daily Value Traded | The number of shares traded and the total monetary value of those shares. High daily value traded is a measure of liquidity and tighter spreads. |
| Bull Score | The RunProfits proprietary measure of price trend and momentum: a predictive momentum validation score (scale: -20 to +20) that evaluates the physical force and conviction of a price move based a multifactorial composite of 24 trend, momentum and liquidity metrics |
| Moving Average Proximity (8d, 21d, 50d, 200d) | The percentage distance from the current share price to the four most connonly used moving averages. Large percentages indicate severe over-extension and a probability of mean reversion. |
| Short Interest & Days to Cover | The percentage of the company's shares sold short, and the theoretical number of trading days required for those short-sellers to buy back their positions at average volume. |
8. Peer Relative Momentum
Indicator of market leadership or structural lag.
| UI Element | Exhaustive Definition & Application |
|---|---|
| Posture | Categorises the asset's performance relative to its peers as Outperforming, Lagging, or Decoupling. |
| Horizon Performance Table | A direct comparison of the Asset's percentage returns versus the Sector Peer Median returns across rolling 5-day, 10-day, 1-month, and 3-month windows. |
| Quantitative Inference | A final summary that weaves the horizon data points together to infer whether a short-term rally is genuine sector leadership or merely a temporary decoupling within a broader structural decline. |
9. Appendix: Mathematical Architecture
The Deterministic Foundation: The RunProfits architecture is driven by a comprehensive relational data model executing thousands of proprieatary calculations daily. The equations below are provided strictly as a simplified illustration of how specific fundamental, technical, and resonance metrics are derived within the WACE core engine.
The WACE process separates deterministic calculation from heuristic synthesis: the data pipeline generates the mathematical truth, and the Large Language Models act solely as contributors to translate those facts into actionable plain English. The AI Agents are strictly forbidden from producing or manipulating the underlying data. THis carefully architected "separation of concerns" selectively unlocks the power of AI while guaranteeing the integrity of the financial data (anti hallucination, fabrication and LLM inferential errors)
The WACE process separates deterministic calculation from heuristic synthesis: the data pipeline generates the mathematical truth, and the Large Language Models act solely as contributors to translate those facts into actionable plain English. The AI Agents are strictly forbidden from producing or manipulating the underlying data. THis carefully architected "separation of concerns" selectively unlocks the power of AI while guaranteeing the integrity of the financial data (anti hallucination, fabrication and LLM inferential errors)
Illustration 1.0: The Fundamental Anchor Structure
$$ \mathcal{F}_{score} = \sum_{i=1}^{4} V_i = V_{valuation} + V_{capital} + V_{revisions} + V_{flow} $$
Illustration 2.0: Technical Momentum Scaling
$$ \mathcal{T}_{score} = \mathcal{B}_{base} + \delta_{extremes} $$
Illustration 3.0: Catalyst Resonance (Polarity Filtration)
$$ \mathcal{R} = \begin{cases} |\mathcal{F}_{score} \times \mathcal{T}_{score}| & \text{if } \mathcal{F}_{score} > 0 \text{ and } \mathcal{T}_{score} > 0 \\ -|\mathcal{F}_{score} \times \mathcal{T}_{score}| & \text{otherwise} \end{cases} $$
