Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Clients and trial users utilizing CubitBlack as a standalone platform have expressed a desire for us to illustrate the process of constructing strategies and modeling investment portfolios. Within our risk-managed setting, users have access to the market's log returns, conditional and rolling volatility, as well as a five-day forecast generated through the auto-regressive model. The training data spans from 2007 to 2014, while the subsequent testing data aids in enhancing our understanding and predictions of market volatility. By incorporating statistics from VIX front month futures, we are able to produce hybrid conditional volatility for our simulations. These simulations effectively illustrate the anticipated profit and loss distributions, utilizing Value at Risk (VaR) metrics. With a solid grasp of the market’s variance risk and its volatility predictions, we can further explore potential opportunities across various sectors, industries, and individual securities. This comprehensive analysis empowers investors to make more informed decisions based on robust data and forecasts.
Description
Stay ahead of your customers’ fluctuating preferences by leveraging precise demand forecasts and stock-out predictions. Our AI-driven platform, Kronoscope, continuously monitors shifts in demand patterns, enabling you to respond rapidly and avoid excess inventory while ensuring that your customers always find what they need. Utilizing a combination of advanced machine learning and deep learning algorithms, Kronoscope automatically creates a tailored model for each SKU across all stores, warehouses, or channels. Our unique algorithms uncover various patterns, such as seasonality, cannibalization, and substitution effects, enhancing the accuracy of our predictions. There is no need for manual adjustments, as the models autonomously retrain to accommodate emerging demand patterns, identify anomalies, and minimize historical fluctuations. Additionally, Kronoscope delivers natural language insights regarding unusual occurrences, key influences on demand changes, and high-impact items, among other valuable information. Furthermore, you can enhance your demand forecasts by modeling the effects of promotions, marketing initiatives, and various other business elements on customer demand. This comprehensive approach ensures that your inventory strategies remain aligned with the latest market trends.
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
No price information available.
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
Synertree CMS
Founded
2016
Country
Canada
Website
synertree.io/portfolios-management-cubitblack/
Vendor Details
Company Name
Fountain9
Founded
2019
Country
India
Website
www.fountain9.com
Product Features
Algorithmic Trading
2-Click Trading
Analyst on Demand
Auto Fibs
Auto Trend Lines
Backtesting
Basket Trading
Drawing Tools
Pattern Tools
Stock Screener
Trading From Charts
Stock Portfolio Management
Billing & Invoicing
Client Management
Data Warehousing
For Investment Advisors
For Traders
Order Management
Portfolio Accounting
Portfolio Rebalancing
Risk Management
Tax Management
Technical Analysis
Wash Sale Detection
Product Features
Demand Planning
Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting