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Description
Combat the challenges of information overload with our advanced AI-driven research platform. By minimizing the time spent on searching, you can focus more on in-depth analysis, thanks to innovative natural language processing and automation that enhances your research efforts. Our collaborative research Notebook empowers your team to work together effortlessly, facilitating a more cohesive workflow. Harness the potential of linguistic and alternative data to extract valuable insights that others might overlook. Tackle information overload effectively as we analyze millions of data points and highlight the crucial information needed to maintain a competitive advantage in the markets. Sentieo is designed to help you discover alpha-generating insights from a variety of sources, including news, regulatory filings, market trends, historical data, documents, notes, financial fundamentals, projections, and more, all while keeping your team connected. With everything you need consolidated into a single workspace, Sentieo reveals insights that can significantly enhance your team's performance and decision-making. Ultimately, the platform ensures that your research capabilities are not only efficient but also strategically insightful.
Description
We provide forecasts for more than 2,300 different stocks, ETFs, Futures, Forex Pairs, and cryptocurrencies, utilizing as many as 90 input values to generate daily predictive indicators. Each of these inputs can consist of up to 7 data points, leading to a total of 630 data points per market, or an impressive 1,450,000 data points across all supported markets on a daily basis. VantagePoint is designed to assist traders in safeguarding their investments and building genuine wealth. It offers alerts indicating whether the market is likely to reach a peak or trough within the next 48 hours. Additionally, users benefit from a comprehensive suite of predictive leading indicators and technical tools that pinpoint ideal entry and exit points. This empowers traders with the assurance to make decisive trades at optimal times to enhance their profitability. We also teach users how to anticipate market trends up to 72 hours in advance with a remarkable accuracy rate of 87.4%, as documented and verified. The high-probability forecasts from VantagePoint allow traders to foresee price direction changes, enabling them to react proactively instead of simply recognizing trends post-occurrence, thus boosting their confidence in executing trading signals effectively. By leveraging these insights, traders can improve their overall strategy and performance in the market.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$2900 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Sentieo
Founded
2012
Country
United States
Website
sentieo.com
Vendor Details
Company Name
VantagePoint
Founded
1979
Country
United States
Website
www.vantagepointsoftware.com
Product Features
Competitive Intelligence
Alerts/Notifications
Benchmarking
Competing Product Analysis
Keyword Tracking
Social Media Monitoring
Trend Analysis
Website Monitoring
Hedge Fund
Compliance Management
Contact Management
Investor Accounting
Investor Reporting
P&L Calculation
Partnership Accounting
Performance Analysis
Portfolio Analysis
Portfolio Management
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis