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What is PortfolioMetrics?

PortfolioMetrics is a web-based application aimed at helping users evaluate and improve their investment strategies. By inputting a few straightforward parameters, users can forecast past portfolio performance, compare it against various benchmarks, and carry out detailed simulations, including Monte Carlo analyses. This platform caters to a wide range of users, from individual investors to financial advisors and content creators, offering critical tools for assessing risk and performance, optimizing asset allocation, and producing shareable insights. Among the features available are: - Backtesting using historical data reflective of real market conditions - Comparative evaluations of various strategies against benchmarks - Calculation of essential metrics such as compound annual growth rate (CAGR), drawdowns, and the Sharpe ratio - Sophisticated simulation capabilities, including Monte Carlo techniques - Options for exporting results in formats like PDF and CSV, along with features for public sharing Ultimately, PortfolioMetrics equips its users with the necessary resources to make well-informed investment choices by utilizing powerful analytical tools, thus enhancing their overall investment experience. The platform stands out by combining user-friendly interfaces with advanced financial analytics to meet diverse investment needs.

What is Fineas?

Fineas is a cutting-edge financial platform that harnesses the power of AI to provide immediate answers to a wide range of financial questions, personalized portfolio enhancement recommendations, and comprehensive asset tracking, all within a cohesive and intuitive interface. Users can enjoy the capability to incorporate live charts into their dashboards, facilitating seamless navigation across various timeframes, the addition of indicators, and monitoring of real-time price fluctuations. The platform’s chatbot feature allows users to ask simple questions regarding their investments and receive quick responses, complete with visual support and tailored advice, effectively alleviating uncertainty in their decision-making processes. Furthermore, an anticipated portfolio optimization feature will enable users to set custom targets, track their progress, and obtain AI-generated insights to ensure their investments stay aligned with their goals. Built on a foundation of advanced technologies including Akash, Docker, MongoDB, OpenAI, Pinecone, and Polygon, Fineas aims to enhance user experience by continuously adapting to feedback and refining its functionalities. Overall, this platform not only streamlines financial management but also equips users with the tools they need to make informed investment decisions confidently, ultimately fostering a more engaged and knowledgeable investing community. This commitment to innovation and user satisfaction positions Fineas as a leader in the evolving landscape of financial technology.

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Integrations Supported

Akash
Docker
MongoDB
OpenAI
Pinecone
Polygon
TradingView

Integrations Supported

Akash
Docker
MongoDB
OpenAI
Pinecone
Polygon
TradingView

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$9.99 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PortfolioMetrics

Date Founded

2023

Company Location

Czech Republic

Company Website

portfoliometrics.net

Company Facts

Organization Name

Fineas

Company Location

United States

Company Website

fineas.ai/

Categories and Features

Categories and Features

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