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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Portfolio backtesting involves the simulation of an investment strategy using past market data to evaluate how a portfolio would have historically performed, enabling an analysis of both risk and return. Utilizing tools like Portfolio Visualizer, investors can develop and compare multiple portfolio models that align with their financial objectives. This platform not only supports optimization but also helps users assess the likelihood of different investment results while gaining a clearer understanding of risk implications. Furthermore, it features Monte Carlo Simulation to forecast future portfolio performance across various scenarios. Tactical models enhance investment strategies by leveraging factors such as moving averages, momentum, market valuation, and risk management, ultimately aiming for improved risk-adjusted returns. Designed for both individual investors and institutions, Portfolio Visualizer transforms complex analyses into practical insights, making them accessible through AI-generated text and video tutorials that cater to diverse learning preferences. This ensures that users can confidently make informed decisions in their investment journeys.

Description

Our backtesting software is tailored for investors seeking to enhance their decision-making capabilities. Just choose your financial instruments and input your strategy details. We analyze the data and assess how well your strategy performs. The software showcases the simulated trades executed by your strategy. You will receive email notifications regarding your active orders and portfolio status. This platform is both straightforward and robust, allowing investors to customize, backtest, and implement their investment strategies seamlessly. PyInvesting empowers investors to make decisions backed by data, catering to both novices and experts in the investment field. It allows users to delve into their strategic concepts and portfolio possibilities with ease. For those who lean towards the quantitative analysis of investing, PyInvesting simplifies the process and enhances your experience. This powerful tool enables investors to backtest and launch their investment strategies without requiring any coding expertise, making it accessible for everyone. With PyInvesting, managing and optimizing your investment approach has never been more efficient.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Facebook No 
Google Sheets Yes 
Instagram No 
Microsoft Excel Yes 
Telegram No 
X (Twitter) No 

Integrations

Facebook Yes 
Google Sheets No 
Instagram Yes 
Microsoft Excel No 
Telegram Yes 
X (Twitter) Yes 

Pricing Details

$30 per month
Free Trial No 
Free Version Yes 

Pricing Details

$19.90 per month
Free Trial Yes 
Free Version Yes 

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

SRL

Founded

2024

Country

United States

Website

www.portfoliovisualizer.com

Vendor Details

Company Name

PyInvesting

Website

pyinvesting.com

Product Features

Investment Management

Accounting Management No 
Benchmarking No 
Bonds / Stocks No 
Client Management No 
Commodities No 
Compliance Reporting No 
Data Import / Export No 
For Investment Advisors No 
For Investors & Traders No 
Fund Management No 
Modeling & Simulation No 
Payroll & Commissions No 
Performance Metrics No 
Portfolio Management No 
Risk Management No 

Product Features

Alternatives

Alternatives

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