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From Engineer to Investor: How Hendry Tanadi Is Making Long-Term Investing Smarter with StockMoat AI

08-15-2025 11:08 PM CET | Business, Economy, Finances, Banking & Insurance

Press release from: ABNewswire

From Engineer to Investor: How Hendry Tanadi Is Making Long-Term

In a market flooded with noise, trend-chasing, and algorithmic overload, a growing number of investors are returning to timeless principles. Few have made those principles as practical and accessible as Hendry Tanadi [https://www.linkedin.com/in/investwithhendry/].

Tanadi, a former software engineer and the founder of Value Based Wealth, is the creator of StockMoat AI, a platform that evaluates public companies based on financial strength, economic moat, and long-term growth potential. Unlike traditional screeners or AI tools designed for speed and speculation, StockMoat AI is built for a different kind of investor. It serves those who want conviction, structure, and sustainable returns.

"Most investors don't need more alerts. They need better filters," Tanadi explains. "We built StockMoat AI to help people invest like owners, using logic and discipline, not emotion."

The Rise of Moat-Driven Investing

At its core, StockMoat AI combines quantitative data with qualitative insights to score businesses based on how profitable, durable, and scalable they are. The platform does not aim to predict short-term movements. Its purpose is to help investors identify companies that can endure market cycles and generate long-term value.

Tanadi's inspiration came from his own experience navigating investing while working full-time in software. "I didn't want to trade. I didn't want to guess. I wanted a system that filtered for quality and helped me stay consistent."

After achieving personal milestones, including building a portfolio that allowed him to retire his wife and mother, Tanadi codified his investing principles into a larger education platform called Value Based Wealth.

A System for Real Investors, Not Speculators

StockMoat AI now serves as the foundation of Tanadi's Elite Investor Formula Trademark , a structured roadmap taught inside the Value Based Wealth community. Members move through three phases:

*
Conviction Builder - Using StockMoat AI to evaluate companies with discipline and confidence

*
Growth Engine - Applying structured options strategies such as LEAPS calls and monthly cash-secured puts

*
Wealth Architect - Optimizing and compounding wealth through advanced portfolio construction

The system is designed for professionals who want to grow their portfolios without constant trading or second-guessing.

"We're not anti-technology. We're pro-discipline," Tanadi adds. "The real edge today isn't speed. It's patience guided by the right data."

Quietly Becoming a Voice of Reason

In a financial landscape where influencer-driven speculation dominates headlines, Tanadi's brand stands out for its calm, methodical approach. His private Discord community continues to grow, attracting professionals from engineering, consulting, and business who want more structure and less noise in their investment decisions.

Though StockMoat AI is currently limited to members of the Elite Investor tier, broader availability is planned later this year.

As more investors grow fatigued with the chaos of short-term trading, Tanadi's structured, moat-based model may become a defining approach for those seeking long-term, conviction-led wealth.

For Media Contact:

To request interviews, podcast features, or commentary from Hendry Tanadi on long-term investing, behavioral finance, or StockMoat AI, visit LinkedIn [https://www.linkedin.com/in/investwithhendry/] or contact hendry.tanadi@valuebasedwealth.co [mailto:hendry.tanadi@valuebasedwealth.co].

Media Contact
Company Name: Value Based Wealth - StockMoat AI
Contact Person: Hendry Tanadi
Email:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=from-engineer-to-investor-how-hendry-tanadi-is-making-longterm-investing-smarter-with-stockmoat-ai]
City: Sydney
Country: Australia
Website: https://valuebasedwealth.co/

Legal Disclaimer: Information contained on this page is provided by an independent third-party content provider. ABNewswire makes no warranties or responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you are affiliated with this article or have any complaints or copyright issues related to this article and would like it to be removed, please contact retract@swscontact.com



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