A Peaceful Way to Invest Using Quants

Investors build wealth through strong businesses. Traders look to buy low and sell high.

At Quantvesting, we combine the best of both worlds—using the power of quants, technology, and data to identify quality businesses that are also value opportunities.

Our goal?

Buy decent businesses when they’re cheap* and sell when they get expensive* — *(cheap and expensive = valuation-wise).

It’s like Techno-Funda investing, but with a modern twist: We bring in math, logic, and automation to remove noise and improve decision-making.

How It Works

We maintain and refine a focused stock universe, based on business fundamentals, and make trading decisions based on key technical and valuation factors.

We categorize our universe into custom-built segments like: X40, X40N, X5K, X-LC, H-LC, X-MC, X-SC (Don’t worry—we break these down in our detailed blogs.)

Our trading signals are based on a blend of:

• Price deviation from 200/50 DMA
• Valuation gap vs 5-year median
• Sales & profit growth
• Market cap tiers
• ROE and other quality metrics

We look at the full picture—top-down: Macro > Industry > Business > Fundamentals > Valuations > Technicals

The Takeaway

Quantvesting isn’t about chasing fads. It’s a systematic, research-backed framework designed to create long-term wealth using logic, discipline, and data.

• Curious to know how we rank stocks?
• Want to explore our signals and universe in detail?

Scroll to the blog posts section and start your Quantvesting journey.

Blog Posts

General

• My Journey to Peaceful Quantvesting
• What I learnt reading top 15 books on Investment?
• 12 Key Learnings
• Basics of Stock Market
• How to remain Peaceful in Stock Market?
• What is Quantvesting?
• Quantvesting Methodology
• How to leverage Python?

In-Depth

• Business Analysis
• Fundamental Analysis
• Stock Selection Criteria
• How I built my Stock Universe?
• Technical Analysis
• Trading Strategies
• Intrinsic Value and Margin of Safety
• Valuation Analysis
• Operators and Market Cycles
• Industry Analysis
• Macroeconomics Analysis
• Random Walk Hypothesis (RWH) vs Efficient Market Hypothesis (EMH)

Hands-On

• Learning Just Enough Python
• Quantifying and Automating with Python
• Prospects Analysis
• Portfolio Analysis
• Buy Sell Recommendations
• Valuation Gap Analysis
• Multi-Timeframe Analysis
• Sector Indices Analysis
• ATH TTM Analysis
• 200 DMA RSI 14 Analysis
• 30 WMA RSI 14 Analysis