Truss Financial Group Launches Innovative Mortgage Approval Predictor for America's 16 Million Self-Employed Population
TFG releases a tool that turns 12‑24 months of bank deposits into an instant mortgage approval score, home price and payment breakdown, no W‑2s or credit pull.
LOS ANGELES, CA, UNITED STATES, June 25, 2025 /EINPresswire.com/ -- For the more than 16 million self-employed Americans who make up over 10% of the working population, getting a mortgage approval has always been a guessing game, until now!
Truss Financial Group introduces the Ultimate Self-Employed Mortgage Approval Predictor, an innovative FREE tool that transforms complex bank statements into clear approval chances. It helps self-employed people ease their stress around mortgage approval by showing them what their chances of approval are within their given bank statements, and it also gives them an entire breakdown of the expenses related to a mortgage. Try the free Self‑Employed Mortgage Approval Predictor and see your approval odds instantly.
Traditional mortgage qualification methods simply don't work for entrepreneurs and freelancers whose tax returns don't tell their whole financial story. This calculator cum predictor changes that by analyzing what really matters: their actual bank deposits.
On top of that, it gives you approval chances based on factors that real-life lenders and brokers use to qualify self-employed individuals.
Breaking Down Barriers to Homeownership:
The innovative tool analyzes 12-24 months of bank statements, the same way lenders do, to determine true qualifying income. Users receive instant feedback on their maximum borrowing potential, without the typical months-long waiting game that self-employed borrowers often face.
Smart Features for Smart Business Owners and Freelancers:
1. Drag‑and‑Drop Deposit Entry – Paste 12–24 monthly totals; the tool auto‑averages and flags high‑variance months.
2. Live Scenario Tuning – Adjust down payment or price; ratios update instantly.
3. Detailed Debt‑to‑Income Split – Front‑end, back‑end and recommended caps.
4. Real-time approval probability calculations
5. One‑Click Expert Review – Tap Talk to Our Expert features are also available which can help self-employed individuals move straight to a bank‑statement loan pre‑qual in under 24 hours.
How to Use the Ultimate Self-Employed Mortgage Approval Predictor?
Getting an accurate picture of your mortgage approval chances starts with understanding your true qualifying income. Our innovative predictor tool makes this process simple and transparent. Here's how to get started:
1. Visit the Calculator page, Enter Deposits & Debts – No uploads, no log‑ins; just the figures already in your banking app.
2. Hit “Calculate” – In ~20 seconds the engine applies the industry‑standard 50 % expense factor, ownership percentage and credit‑tier rate.
3. Read Your Verdict – Max home price, monthly payment, DTI, LTV and approval score appear on one dashboard.
4. Next‑Step Ready – Talk to Our Expert to fast‑track a formal term‑sheet.
Why Truss Built It?
Listings are disappearing in days; self‑employed buyers can’t wait six weeks for an underwriter to decipher their income. Truss built this tool as a public service, yes, it generates educated leads, but first it gives entrepreneurs the clarity they’ve been denied.
About Truss Financial Group
Truss Financial Group is an award‑winning independent mortgage brokerage specialising in self‑employed and non‑QM solutions since 2009. With more than 3100 self-employed loans funded, Truss pairs fintech speed with human expertise to open doors W‑2 driven lenders often close.
Jason Nichols
Truss Financial Group
+1 888-878-7715
pr@trussfinancialgroup.com
Visit us on social media:
LinkedIn
Instagram
Facebook
YouTube
X
Legal Disclaimer:
EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
