https://store-images.s-microsoft.com/image/apps.53728.4d94c939-8962-4520-b1b0-f40aa5cfc29a.1919e306-fa37-4023-aa09-ce2220ea273c.fbc353c0-e0cc-4720-a96b-7529b1065cdd

NestQuestROI – Financial Simulation Engine

durch Softtelrg LLC

NestQuestROI helps analyze financial outcomes with precision and ease.

NestQuestROI, developed by SoftTelRG LLC, is a research-grade financial simulation and analytical engine designed to evaluate housing, lending, and hybrid ownership systems through transparent, reproducible modeling.

Purpose:
NestQuestROI models rent, mortgage, rent-to-own, and hybrid pathways using CPI-adjusted analytics. It provides a transparent, ethical framework for comparing financial outcomes under various economic conditions.

Key Features:

  • Mathematical reproducibility: Each result can be rerun with explicit parameter blocks and rule-set hashes.

  • No data collection: The simulator runs entirely client-side; no personal data is stored or transmitted.

  • Open academic access: Supports researchers, educators, policymakers, and financial analysts.

  • Transparent finance modeling: Evaluates outcomes across inflation-adjusted scenarios and contract types.

  • Ethical by design: Built for fairness, clarity, and measurable policy outcomes.

Technical Overview:

  • Hosted on Vercel (AWS & Google Cloud infrastructure)

  • Fully client-side operation with zero storage footprint

  • Secure delivery via HTTPS/TLS 1.3

  • Developed by SoftTelRG LLC, Texas, USA

Who Benefits:

  • Banks & Lenders: Scenario testing for equitable contract design

  • Investors: Comparative modeling for CPI-adjusted ROI

  • Policy Researchers: Ethical and transparent finance simulations

  • Educators & Students: Real-world, research-based financial learning

Availability:

  • Free to access for public research and education

  • Web application only (no installation required)

Learn more or run simulations directly at:
https://www.NestQuestROI.com

Auf einen Blick

https://store-images.s-microsoft.com/image/apps.18865.4d94c939-8962-4520-b1b0-f40aa5cfc29a.1919e306-fa37-4023-aa09-ce2220ea273c.3382169d-84d7-4ede-b6b6-422f0274864f