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features
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support

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Write a Review

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

The optional feature for data downloading and analysis is designed to seamlessly pull historical prices for stocks, funds, and indices from Yahoo Finance, catering to most exchanges, or can work with data from an external spreadsheet for a comprehensive portfolio assessment. It will compute essential risk metrics, including volatility broken down into active risk, residual risk, and market risk, alongside Beta and R-Squared values for both individual securities and the overall portfolio, as well as the specified index. Additionally, users can visualize historical patterns regarding the volatilities, betas, and prices of individual assets, as well as explore trends in correlations between pairs of assets, offering insights into their stability over various time periods. This graphical representation aids in better understanding the dynamics of the portfolio.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$129 one-time payment
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Synertree CMS

Founded

2016

Country

Canada

Website

synertree.io/portfolios-management-cubitblack/

Vendor Details

Company Name

Hoadley Trading & Investment Tools

Website

www.hoadley.net/options/develtoolsoptimize.htm

Product Features

Algorithmic Trading

2-Click Trading No 
Analyst on Demand No 
Auto Fibs No 
Auto Trend Lines No 
Backtesting No 
Basket Trading No 
Drawing Tools No 
Pattern Tools No 
Stock Screener No 
Trading From Charts Yes 

Stock Portfolio Management

Billing & Invoicing No 
Client Management Yes 
Data Warehousing Yes 
For Investment Advisors Yes 
For Traders Yes 
Order Management No 
Portfolio Accounting Yes 
Portfolio Rebalancing No 
Risk Management Yes 
Tax Management No 
Technical Analysis Yes 
Wash Sale Detection No 

Product Features

Financial Risk Management

Compliance Management No 
Credit Risk Management No 
For Hedge Funds Yes 
Liquidity Analysis No 
Loan Portfolio Management No 
Market Risk Management Yes 
Operational Risk Management No 
Portfolio Management Yes 
Portfolio Modeling Yes 
Risk Analytics Benchmarks Yes 
Stress Tests No 
Value At Risk Calculation No 

Alternatives

Alternatives

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