Show HN: Zenly – Investment research platform built around a quality/value score

Posted by juliiii 11 hours ago

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I've spent the past year building what I believe to be a comprehensive investment research and tracking platform. As an avid investor who incorporates a few strategies for investing (index investing, factor tilts, some quality stocks at good valuations, a bit of dividends), I was continuously jumping between different websites and tools for different needs, most of which were missing the exact thing I needed.

I wanted one place which had visual representation of stock fundamentals without overwhelming me with data, a portfolio tracker that integrates with my brokerage, a stock screener which filters for PEG ratio the correct way (trailing P/E vs long term eps growth rate), to see a full exposure analysis and AI insights on my portfolio, back-testing capabilities, and a quick way to evaluate how good an investment is (since the process I was doing for evaluating stocks was the same one every time - PEG ratio, expected growth, debt, revenue growth, ROIC). I wanted something simple yet powerful that gives me exactly the information I need, and nothing more.

Zenly is a result of many months of work of re-iteration, improvement, and research. It's a passion project that eventually became my number one used tool for all my investing needs.

What sets Zenly apart:

- The zen score (Methodology: https://zenlyfinancial.com/zen-score-explained). This is a score I created based on the quality factor premium literature along with hefty work I personally did on running regression analysis on stock behavior based on fundamentals for the past 20 years. The score takes into account fundamental metrics that have been found to be differentiators in stock returns - 5y revenue growth, estimated eps growth, debt levels, ROIC, and forward looking valuation. Grading every publicly US-listed equity with this score, basically creating a desirability score for each.

- Intuitive visualizations of stock fundamentals, along with builtin AI analysis for the thesis, bear case, bull case, and earnings sustainability.

- In-depth exposure analysis, income tracking, performance tracking, and aggregate quality data on the users portfolio, all automatically connected to your brokerage.

- Stock screening, back testing, aggregate fundamental simulation on pre-built portfolios.

It's priced at 5usd/month to cover my hosting, financial apis and AI usage cost, with a 14 day free trial no credit card required. I would love any feedback, and I welcome any questions regarding the Zen Score, my stack, or anything else that comes to mind.

Comments

Comment by juliiii 9 hours ago

Giving some extra context on how the zen score is calculated for whoever is interested:

- All US listed equities are put on a curve for each one of the flagged fundamental values: ROIC, 5y Revenue growth, Debt-To-Ebidta, PEG ratio (relative to long term expected growth).

- Each one of the fundamental values is assigned a score for each one of the values, based on their grade and based on what has been found to be significant for long term returns.

- All scores are weighed (according to their importance) together to provide an aggregate score for the company.

- The result is that approximately only 1% of us listed equities have above a 90 score, representing the best quality-value tradeoff amongst all equities listed.

- So far in my analysis, 80+ zen score companies have achieved a 6% gain over the past month, in a period the snp500 has returned -2% return. I rebalance monthly according to the changes in the zen score.

Of course this is a very short investment period to come to any conclusions, but this methodology is based on a very long term regression analysis that has shown time and time again to be a true differentiator in long term risk-adjusted-returns.