PolicyScope Data and Signals

**Overview**
**TO REQUEST ACCESS, PLEASE USE THIS EMAIL: [e-mail].**

The PolicyScope dataset provides access to daily volume measurements and momentum-based directional signals regarding global public policy activities across three thematic verticals: **Monetary Policy, Climate/Energy Policy, and Digital Currency Policy.**

***PolicyScope data measures the path towards a policy decision, before decisions have been taken***. Momentum-based signals identify increased volatility often before media coverage.

PolicyScope data aligns with automated finance workflows through 4000+ tickers attached to official sector activity, including all tradeable instruments in the Russell 3000 plus the main reserve and digital currencies as well as key indices (e.g., VIX) and ETFs.

Leverage this dataset to conduct macrotrend and technical analysis (MACD, RSI, etc.) on policy activity *on a par with* tradeable assets. Identify trading opportunities by analyzing the delta and momentum between news coverage (rhetoric, leaks) against official sector activity (action, data releases, judicial decisions).

Users can also identify policy trajectories as they emerge daily by using the Posture Measurements (in beta) which identify whether the activity in question is favorable, negative, or neutral regarding a policy and our proprietary Momentum Index.

Use PolicyScope data to track easily the daily rhythm and patterns of policy formation using ethically sourced, publicly available official sector information and news coverage acquired through appropriate licenses.

This dataset includes:
- Daily multivariate time series data measuring notional volumes of policy activity regarding specific topics and keywords. The data measures the path towards a decision, before decisions have been taken by policymakers.

- Daily Posture and Momentum Index scores for all official sector policy activity (Action, Data, Rhetoric).

- Tickerization to all individual tradeable assets in the Russell 3000, major reserve currencies, top digital currencies, major indices (e.g., VIX), and thematic ETFs.

**Use cases**

- **Customized Policy Volatility Forecasting – Alpha Generation**: Backtests show that spikes in Action levels consistently precede news coverage which drives market volatility across a range of issues. Create finely tuned trading signals specific to your portfolio..

- **Technical/Quantitative Market Analysis**: Design and implement customized MACD analysis for any combination of policy topic/keyword and tradeable asset. Spot technical trading opportunities with better precision for key sectors uniquely exposed to public policy risks (e.g., hydrogen, renewables, inflation) policy.

- **Strategy Formation**: Spot strategic policy shifts as they occur, before they materialize as market-moving headlines.

- **Risk Management – Smart Beta**: Create data-driven benchmarks to identify whether underlying model assumptions and parameters have accurately factored in public policy risks.

- **Scenario Analysis – Smart Beta**: Create more accurate scenario analysis and stress tests by incorporating observed correlations between policy shifts and market shifts.

**Product details**

One table that updates daily and automatically at 7:45 am Eastern Time in the United States.

Sample Fields:

- Acquisition Date
- Keyword
- Topic
- Theme
- Tickers
- Official Sector Action Types: Action, Data, Judicial
- Media Sector Action Types: Rhetoric, Leaks.

For more details, refer to the embedded notebook.

**Additional Insights -- Customized Deployments**
Customized deployments include additional fields (Country, Institution Name, Institution Type, Official Sector URL) and deployment on dedicated servers to maximize confidentiality.

**Additional Features -- Dow Jones Institutional News Feed Customers**
If you currently ingest data from the Dow Jones Institutional Newsfeed, additional fields and columns are available to you. Please contact us for further details