Automated Market Intelligence for the Moder
We provide institutional-grade data analytics tools and sentiment analysis APIs for research purposes.
Institutional-Grade
Data Infrastructure
Purpose-built tools for researchers, analysts, and quantitative teams who demand precision and reliability.
Sentiment Algo Engine
Real-time NLP analysis of market news, earnings calls, and social media feeds. Our proprietary algorithms classify sentiment across 47 asset classes with sub-second latency.
Historical Data Export
Clean, normalized datasets spanning 20+ years of market data. Export in CSV, Parquet, or stream via our REST API for seamless backtesting integration.
Risk Visualization
Interactive dashboards for volatility tracking, correlation matrices, and tail-risk monitoring. Built for quantitative researchers and risk analysts.
import requests
API_KEY = "dw_live_xxxxxxxxxxxx"
BASE_URL = "https://api.dealwells.com/v2"
# Fetch sentiment analysis for a ticker
response = requests.get(
f"{BASE_URL}/sentiment/analyze",
headers={"Authorization": f"Bearer {API_KEY}"},
params={
"ticker": "AAPL",
"source": "news,social",
"lookback": "24h",
"model": "nlp-v3"
}
)
data = response.json()
print(f"Sentiment Score: {data['score']}")
print(f"Confidence: {data['confidence']}%")
print(f"Sources Analyzed: {data['source_count']}")Build with
Confidence
Our RESTful API delivers clean, normalized financial data with comprehensive documentation, client libraries in 6 languages, and dedicated technical support for enterprise integrations.
Low Latency
Sub-50ms response times with global edge caching across 12 regions.
Enterprise Security
TLS 1.3, API key rotation, IP whitelisting, and SOC 2 Type II compliance.
Global Coverage
Data from 60+ exchanges, 15,000+ instruments, and 200+ news sources.
Historical Depth
Access 20+ years of tick-level data with point-in-time accuracy.
Technology Company,
Data-First Approach
Founded in 2017, Deal Wells Securities Inc is a technology company focused on financial data infrastructure. We help researchers make better decisions through code and data.
Our engineering team builds and maintains the data pipelines, NLP models, and visualization tools that power quantitative research workflows. We believe that access to clean, well-structured data is the foundation of sound analysis.
As a software and technology services provider, we focus exclusively on building tools — not managing assets, facilitating trades, or providing investment advice. Our clients use our platform to conduct their own independent research.
Company Timeline
Company founded — initial data pipeline architecture
Launched Sentiment Algo Engine v1.0
Historical Data Export platform goes live
Risk Visualization dashboard released
Serving 500+ institutional research teams globally
Get in Touch
Interested in our data analytics platform? Request a demo or reach out to discuss how our tools can support your research workflow.