Trading Co-Pilot: Sector Sentiment Analysis

AI-Driven Sector Sentiment Trends for Institutional Investors and Quant Teams

TRANSFORM SECTOR SENTIMENT
INTO
DATA-DRIVEN INVESTMENT DECISIONS

Decode market complexity with Permutable AI’s quantitative decision engine that transforms real-time sentiment sector trends across energy, agriculture, metals, and currencies into precise factor scores across geopolitical events, weather patterns, and macroeconomic shifts impacting price movements.

Process hundreds of global sources hourly through advanced NLP analysis, detecting persistent bullish and bearish themes before they become consensus. Our system correlates sentiment with actual price movements across multiple timeframes – from 1-day tactical decisions to 1-month strategic positioning.

Leverage our quantified intelligence through enterprise-grade API delivering real-time insights that transform market uncertainty into data-validated competitive advantage across global asset classes.

SEE CASE STUDY

Permutable’s sector sentiment engine gives us quantified clarity on shifting macro themes - turning noise into confidence in our positioning.

Multi-Asset Investment Firm

Permutable Financial Assets Dashboard

Technical Overview

Contact us at enquiries@permutable.ai

Trading Co-Pilot delivers a quantitative decision engine by transforming vast, real-time market intelligence and NLP-driven sentiment into actionable insights. Our interactive heatmap displays precisely calibrated factor scores (–1.00 to +1.00) for energy commodities, quantifying the directional impact of geopolitical events, macroeconomic indicators, trade flows, weather, and more. Our system continuously ingests and normalizes global news, economic releases, and trade reports, applying consistent, rigorous scoring to correlate factors with price movements, enabling users to identify significant relationships, backtest signals, and make data-validated trading decisions.

Implementation Use Cases

Comprehensive Market Coverage

Access real-time factor scores and insights across diverse asset classes and geographical regions.

Real-time factor scores for Energy, Agriculture, Metals & Currencies
Global region and country breakdowns

Multi-Horizon Strategy Analysis

Analyze strategies over multiple timeframes with quantified insights into market drivers and price movements.

Decision windows: 1-day, 1-week, 1-month
Quantified driver-to-price insights

Persistent Theme Extraction

Leverage NLP-powered sentiment scoring to automatically detect enduring bullish or bearish market drivers.

NLP-powered sentiment scoring
Automated detection of enduring bullish or bearish drivers

Permutable Co-Pilot API enables programmatic access to structured news data with millisecond latency and enterprise-grade reliability. Full documentation is available at https://copilot-api.permutable.ai/redoc, including Python, R, and Java client libraries with webhook support.

API Reference

GET /v1/sentiment/aggregate/sector/{sector_id}
Provides the latest aggregated sentiment data for a specified market sector. Supports various sentiment metrics based on lookback period and data types.

GET /v1/sentiment/aggregate/sector/{sector_id}

Parameters

Name Description
sector_id
string (path)
 Sector id to filter tickers. Get these sector ids from GET /sector
has_events
boolean (query)
 Whether to include hours with no events in returned aggregation.
Default value: true
version_id
string (query)
 Version id to filter sentiment data. Defaults to latest production version.
lookback_period
integer (query)
 Lookback period in days for sentiment analysis. Default is 7 days, max is 30 days.
Default value: 7
signal_type
string (query)
 Type of signal to use in the sentiment analysis. Options are 'Combined', 'Asset', 'Macro', 'Sector'
Default value: Combined
sentiment_type
string (query)
 Type of sentiment to analyze. Options are 'topic' or 'geolocation'
Default value: topic

Request Example (Python)

import requests

# Replace with your actual credentials
API_KEY = "your-api-key"

# Headers
headers = {
    "x-api-key": API_KEY,
}

# Query parameters
params = {
    'lookback_period': 7,
    'signal_type': 'Combined',
    'sentiment_type': 'topic',
    'has_events': 'true'
}

# Make the request
response = requests.get(
    "https://copilot-api.permutable.ai/v1/sentiment/aggregate/sector/ENRG_SEC",
    headers=headers,
    params=params
)

# Check for errors
response.raise_for_status()

# Get the response data
data = response.json()
print(data)

Response Example

{
  "sentiment": [
    {
      "ticker": "BZ_COM",
      "topic": "Supply-Geopolitical Tensions",
      "event_type": "Combined",
      "avg_sentiment": -0.7,
      "median_sentiment": -0.7,
      "min_sentiment": -0.7,
      "max_sentiment": -0.7,
      "std_dev": 0
    },
    {
      "ticker": "BZ_COM",
      "topic": "Supply-Production Levels",
      "event_type": "Combined",
      "avg_sentiment": -0.7,
      "median_sentiment": -0.7,
      "min_sentiment": -0.7,
      "max_sentiment": -0.7,
      "std_dev": 0
    },
    {
      "ticker": "BZ_COM",
      "topic": "Supply-Inventory Levels",
      "event_type": "Combined",
      "avg_sentiment": -0.7,
      "median_sentiment": -0.7,
      "min_sentiment": -0.7,
      "max_sentiment": -0.7,
      "std_dev": 0
    }
  ]
}
API Documentation

Sample Data (Implied Impact on Price)

Let us answer your questions

Most research platforms are retrospective, offering slow, narrative-heavy summaries. At Permutable, we deliver real-time, quantified sentiment scores drawn from hundreds of sources, correlated directly with market moves – giving you a tactical and strategic edge.

Our coverage includes energy (Brent, WTI, LNG, etc.), agriculture (wheat, soybeans, corn, etc.), metals (gold, copper, silver), and major currencies with equities and fixed income coming soon. Sentiment scores are broken down by region, asset, and theme for precise insight.

Clients use our sector sentiment analysis to:

  • Detect early macro shifts for multi-asset positioning

  • Validate or challenge internal narratives in investment committee prep

  • Support strategic hedging decisions in procurement or treasury

  • Track evolving geopolitical and weather-related risks to commodity pricing

Our sentiment scores are linked to real-time news and event triggers, helping users identify early signs of directional shifts before they’re fully priced in. This supports more confident and timely trade execution.

Absolutely. In addition to traders, we support asset managers, investment banks, and corporate strategy teams seeking to understand cross-sector macro impacts – from sovereign risk to supply chain disruption – through structured, explainable intelligence.

Yes. All data is accessible via our enterprise-grade API with full documentation and client libraries in Python, R, and Java. Clients can choose to integrate our sentiment layers into their dashboards, quant models, or risk analytics tools with minimal development time.

Not at all. While quant teams can easily integrate our data into models, we also offer out-of-the-box visualisations such as heatmaps and dashboards, enabling strategists and analysts to access clear insights without needing to code.

Yes. We offer tailored trials with access to live sector sentiment feeds, sample API calls, and walk-throughs based on your asset focus. This lets you evaluate performance, integration fit, and relevance before making any long-term decisions.

Contact us at enquiries@permutable.ai to arrange access.

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