Live factor timing dashboard on analyst screens

Live Factor Signals, Updated on Schedule

You have been working with static factor exposure and no systematic framework for reading when conditions favour which factors. The signals dashboard changes that — macroeconomic, valuation, and sentiment readings combined into composite scores, documented and updated on a defined schedule.

Every signal on this dashboard is built from observable macroeconomic, valuation, and sentiment data with documented analytical rationale. You see the composite score. You see the component inputs. You see where signals agree and where they conflict. Nothing is hidden behind a black box. Past signal behaviour does not guarantee future analytical outcomes. Results may vary.

What the Signals Dashboard Gives You That Static Factor Tools Do Not

Most factor tools show you historical returns and leave you to form your own timing view from raw data scattered across sources. This dashboard does the analytical assembly work — macroeconomic indicators, valuation spreads, and sentiment readings scored, aggregated, and presented in one place on a documented, consistent schedule.

Composite Factor Scores Across All Five Systematic Factors

Value, momentum, quality, low volatility, and size — each factor category has its own composite timing score built from macroeconomic, valuation, and sentiment inputs. Component scores are visible alongside the composite so you can see exactly what is driving the overall reading and where the analytical disagreements sit at each update point. You never have to trust a number you cannot interrogate.

Regime Conditioning Layer Built Into Every Signal Reading

Signals are not scored against undifferentiated full-sample historical baselines. The dashboard's regime conditioning framework classifies the current macroeconomic environment across growth, inflation, credit, and policy dimensions and applies historically comparable benchmarks to each signal score. A valuation spread reading carries different analytical weight depending on the regime context it sits within — and the dashboard reflects that distinction explicitly in every output it publishes.

Full Methodology Documentation Alongside Every Published Signal

Each signal on the dashboard links directly to its corresponding methodology document — covering data sources, scoring logic, aggregation weights, update schedule, and documented limitations. You can move from a composite score to the full analytical rationale behind it in one step. When the methodology changes, the documentation is updated and the revision is logged with a clear explanation of what changed and why it changed.

Dashboard Preview

See what analytical tools and signal visualisations members access on the platform.

Full factor timing dashboard showing all five composite signal scores

Composite signal scores across all five systematic factor categories

Macroeconomic regime classification panel on dashboard

Regime classification panel updated on defined schedule

Valuation spread scoring chart with regime-conditioned percentile

Valuation spreads scored against regime-comparable history

Sentiment indicator composite view in dashboard — Sentiment signal aggregation across factor categories

Data Sources and Platform Access Options

The dashboard connects to established data sources and supports the tools analytical professionals already use in their daily workflow.

Step 1

1

Bloomberg Terminal

Live Access

Factor timing signal outputs and regime classification data can be referenced alongside Bloomberg terminal data, allowing analysts to cross-reference platform signals with the macroeconomic and pricing data they already monitor in their primary research environment.

Bloomberg Terminal

Live Access

Factor timing signal outputs and regime classification data can be referenced alongside Bloomberg terminal data, allowing analysts to cross-reference platform signals with the macroeconomic and pricing data they already monitor in their primary research environment.
Step 2

2

Refinitiv Eikon

Compatible

Platform methodology documents and signal outputs are structured to complement Refinitiv Eikon data workflows, enabling analysts to apply regime-conditioned factor scoring to the valuation and fundamental data sets they source through their existing Eikon subscriptions.

Refinitiv Eikon

Compatible

Platform methodology documents and signal outputs are structured to complement Refinitiv Eikon data workflows, enabling analysts to apply regime-conditioned factor scoring to the valuation and fundamental data sets they source through their existing Eikon subscriptions.
Step 3

3

Python and R APIs

API Access

Members with technical analytical workflows can access structured signal data through documented API connections, enabling integration of platform outputs into Python or R-based quantitative analysis pipelines without manual data extraction from the dashboard interface.

Python and R APIs

API Access

Members with technical analytical workflows can access structured signal data through documented API connections, enabling integration of platform outputs into Python or R-based quantitative analysis pipelines without manual data extraction from the dashboard interface.
Step 4

4

Excel Add-In

Export Ready

Analysts who build and maintain factor timing models within Excel can export composite signal scores and component-level readings directly into spreadsheet environments, maintaining consistent data structures across both the platform dashboard and their own analytical models.

Excel Add-In

Export Ready

Analysts who build and maintain factor timing models within Excel can export composite signal scores and component-level readings directly into spreadsheet environments, maintaining consistent data structures across both the platform dashboard and their own analytical models.
Step 5

5

FactSet Workstation

Compatible

Factor timing signals and regime classification outputs are formatted for straightforward reference alongside FactSet data sets, supporting analysts who use FactSet as their primary fundamental and quantitative data environment within institutional research or asset management operations.

FactSet Workstation

Compatible

Factor timing signals and regime classification outputs are formatted for straightforward reference alongside FactSet data sets, supporting analysts who use FactSet as their primary fundamental and quantitative data environment within institutional research or asset management operations.

Why Analytical Professionals Use the Signals Dashboard

You already understand that factor premiums exist and that they vary across market environments. The dashboard gives you the systematic framework for reading those variations — documented, consistent, and built to hold up under scrutiny.

Signal Readings Updated on Schedule

You do not have to assemble macroeconomic, valuation, and sentiment data from separate sources and reconcile them manually before forming a view on factor conditions. The dashboard does that assembly on a defined update schedule, so when you open the platform, the current composite readings are already there — scored, aggregated, and ready to interrogate. The time you used to spend on data collection is now available for actual analytical thinking about what the signals mean and how they interact with your existing framework.

Regime Context Applied Automatically

Each time the dashboard updates, the regime conditioning layer reassesses the current macroeconomic environment classification and adjusts signal scoring benchmarks accordingly. You do not have to identify the regime yourself before interpreting each signal — that contextual step is built into the output you see. When the regime classification changes, the dashboard reflects that shift in the signal readings at the next scheduled update, giving you an analytically grounded view of whether a change in factor conditions is driven by the signal itself or by a shift in the interpretive context around it.

Systematic Process Replaces Narrative Intuition

When your factor timing conclusions must be grounded in a documented signal framework rather than narrative reasoning, recency bias and anchoring errors become structurally harder to make. The dashboard imposes a consistent analytical discipline — you start from what the data shows, not from what the most recent market narrative suggests. Over time, that discipline compounds into an analytical process that is auditable, repeatable, and defensible to colleagues and stakeholders who want to understand how you reached a particular view about factor conditions.

Ambiguity Is Shown Explicitly, Not Hidden

When macroeconomic, valuation, and sentiment indicators disagree about the same factor's conditions, the composite score reflects that disagreement by producing a moderate or neutral reading rather than forcing a directional output. You see the individual component scores alongside the composite, so you know precisely where the conflict sits and can apply your own analytical judgement about how to weight it. A dashboard that hides signal conflicts behind a single confident number is analytically dangerous. This one shows you the conflicts because they are part of the information.

Every Score Has a Documented Source

You can move from any composite signal score to its full methodology document in one step — covering the data sources behind each component indicator, the historical scoring benchmarks applied, the aggregation weights used, and the documented limitations of the signal framework. That chain of evidence from output back to analytical rationale is what distinguishes a signal you can present with confidence from one you have to defend on the basis of intuition. The documentation is available to every platform member and updated whenever the methodology changes.

Limitations Are Disclosed Before Strengths

The platform's research team documents the periods and environments where each timing signal has underperformed or produced analytically ambiguous readings — and that documentation is part of what you access on the dashboard, not a footnote buried in a separate legal document. Understanding where a signal framework breaks down is as analytically valuable as understanding where it performs well. Members who engage with both sides of the documentation are better positioned to apply factor timing signals as one rigorous input among several, rather than as a single authoritative answer.

Signals Work Alongside Your Existing Analytical Tools

The dashboard is designed to complement — not replace — the data environments and analytical frameworks analytical professionals already use. Signal outputs are structured for straightforward reference alongside Bloomberg, Refinitiv, or FactSet data, and exportable formats support integration into Excel models and Python or R analytical pipelines. You do not have to rebuild your analytical workflow to incorporate factor timing signals — you add them to the process you already have, with the methodology documentation providing the rationale that connects them to your existing framework.

Curriculum Builds the Foundation Before Dashboard Access

Members who work through the structured curriculum before engaging heavily with live dashboard signals consistently report a more rigorous analytical engagement with the outputs they see. Understanding the signal construction logic, the regime conditioning rationale, and the aggregation methodology from the ground up means you are interrogating signals rather than passively reading them. The curriculum is available to all platform members and is designed to be completed progressively alongside growing engagement with the live signals the dashboard publishes on its defined update schedule.

Enrol Now

The Signals Are Live. The Methodology Is Documented. You Can Start Now.

Every factor timing signal on the dashboard is available to enrolled members on a defined update schedule — macroeconomic regime classifications, valuation spread scores, sentiment readings, and composite outputs across value, momentum, quality, low volatility, and size. The methodology documentation is there alongside every signal, open to scrutiny. The research team publishes limitations before strengths and updates documentation when frameworks change. If you want a systematic, evidence-grounded framework for reading factor conditions — one that holds up when you have to explain your analytical reasoning to a colleague or a client — this is where that process begins. Nothing on this platform constitutes financial advice. Past signal behaviour does not guarantee future analytical outcomes. Results may vary.

Live composite factor timing scores across all five systematic factor categories, updated on a defined schedule with full component visibility.

Regime conditioning framework that classifies the macroeconomic environment and adjusts signal scoring benchmarks at each update point.

Full methodology documentation accessible from every signal — data sources, scoring logic, aggregation weights, and documented limitations all included.

Exportable signal data compatible with Bloomberg, Refinitiv, FactSet, Excel, Python, and R analytical environments.

Structured curriculum available to build foundational factor timing analytical knowledge before or alongside live dashboard engagement.

This platform is operated from Australia and all content is subject to applicable Australian law. Nothing on this platform — including factor timing signals, composite scores, regime classifications, methodology documents, or any other analytical content — constitutes financial product advice, general financial product advice, or any regulated financial service under the Corporations Act 2001 (Cth). All signals and analytical frameworks are informational and analytical reference tools only. Users are strongly encouraged to consult a licensed financial adviser before making any financial decision. Past signal behaviour does not guarantee future analytical utility or accuracy. Results may vary.