IR Rehearsal Mode

Analyse draft announcements before publication. Submit draft text via the API or Copilot and receive multi-dimensional feedback on language risk, predicted sentiment, media pickup, and likely analyst questions.

How to Use

Submit a draft announcement via the API:

POST /api/v1/ir-briefing/rehearsal  { "ticker": "EMAAR", "draft_text": "..." }

Or use the Copilot: "Rehearse this announcement for EMAAR: ..."

Analysis Dimensions

1

Language Risk Detection

Flags forward-looking statements, promotional language, and hedging gaps that may trigger regulatory scrutiny.

2

Sentiment Prediction

Estimates how the market will interpret tone — bullish, bearish, or neutral — based on keyword and structure analysis.

3

Media Pickup Probability

Scores likelihood of press coverage based on newsworthiness signals (materiality, controversy, human interest).

4

Analyst Follow-Up Questions

Generates the 5 most likely analyst questions so IR teams can prepare answers before publication.

5

Readability Score

Flesch-Kincaid and plain-language assessment — complex announcements correlate with negative sentiment.

6

Regulatory Pattern Matching

Checks for compliance with exchange-specific disclosure templates and mandatory language.

7

Peer Comparison

Compares draft language against recent announcements from sector peers to flag outlier phrasing.

Regulatory Patterns

Disclosure rules vary by exchange. The rehearsal engine checks against these regulatory frameworks:

SCA

Securities and Commodities Authority

UAE

CMA

Capital Markets Authority

Kuwait

QFMA

Qatar Financial Markets Authority

Qatar

JSC

Jordan Securities Commission

Jordan

CMA

Capital Market Authority

Saudi Arabia

CBB

Central Bank of Bahrain

Bahrain

CMA

Capital Market Authority

Oman

Example Output

SentimentPositive
Language RiskMedium
Media Pickup72%
ReadabilityGrade 11
Regulatory Flags2

This analysis is based on available data and disclosed methodology. Our models estimate outcomes using specific inputs and assumptions — the methodology is described on this page. Observations may not account for all relevant factors. This content is provided for educational and informational purposes only.

Data sources · Full disclaimer

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