Headline returns often hide the real path
A single multibagger claim can compress decades of price moves, bonus issues, splits, and dividends into one seductive number.
About Arthalekh
Built for investors who want the full return story, not the cleaned-up headline.
Arthalekh is an India-first equity intelligence product focused on one core problem: most long-term stock stories are easier to repeat than to verify. We built the product to turn those stories into a transparent decision ledger.
That means keeping price history unadjusted, layering in splits and bonus events explicitly, tracking dividend cash separately, and showing users exactly how the final answer was assembled. The result is not just a prettier chart. It is a more honest investing workflow.
Lens
India-first
Designed around Indian equity questions, corporate actions, and long-horizon return narratives.
Method
Action-aware
Price move, share-count changes, and dividend cash are treated as separate layers.
Output
Explainable
The app, content, and developer platform all point back to the same calculation logic.
Method Stack
How Arthalekh keeps the answer honest
01
Keep the chart raw
Arthalekh keeps the price series unadjusted, so you can inspect what actually traded instead of a rewritten history.
02
Apply actions explicitly
Splits and bonus events update share count as dated events, rather than being silently baked into the price line.
03
Track dividends as cash
Dividend payouts are visible as cash by default, which keeps the return decomposition explainable and auditable.
04
Show source status clearly
Live, cache, stale-cache, and demo states are surfaced so users know how fresh the answer is before acting on it.
Operating Stance
Arthalekh sits between raw market history and investor conviction. The job is not to make the story louder. The job is to make the story checkable.
Why It Exists
Arthalekh exists because long-term return stories are often directionally right and structurally misleading.
The most shared investing claims are usually built from a real company and a real outcome, but the path between those two points is where the misunderstanding lives. Arthalekh is designed to reveal that path.
Indian equities need action-aware context
Corporate actions can change share count dramatically. If you do not separate those changes from the market price, the story gets distorted.
Trust comes from decomposition, not confidence
Investors deserve to see what came from the price trend, what came from ownership expansion, and what arrived as dividend cash.
What We Build
A product surface for investors, and a system surface for teams.
Arthalekh is not just a landing page around one calculator. It is a connected stack of investor-facing tools, direct-answer stock pages, research content, and developer infrastructure that all share the same return framework.
Product App
OpenRun the full simulator with unadjusted prices, event markers, and return decomposition in one screen.
Stock Pages
OpenOpen direct-answer pages for supported symbols before diving into the deeper analysis workflow.
Investor Tools
OpenUse focused utilities like the Nifty 50 real-return leaderboard and what-if replay tools.
Developers
OpenIntegrate the same return-forensics engine through the SDK and versioned API.
Stories and Guides
OpenRead stock stories and search-ready guides built on the same methodology shown inside the app.
Contact
OpenReach out for partnerships, product feedback, support, or Pro onboarding.
Who It Is For
Long-term investors
People who want to sanity-check “if you invested” claims before using them as conviction fuel.
Researchers and writers
Teams that need a clean return ledger for newsletters, stock stories, editorial pieces, and investor education.
Builders and product teams
Developers who want app-parity price history, corporate actions, and portfolio simulation inside their own workflows.
Promises
A few things we do not want to compromise.
- No adjusted-close shortcuts that blur the underlying market path.
- No hidden dividend reinvestment assumption in the default simulation.
- No vague source freshness. Data status is shown alongside the answer.
- No split between marketing story and product logic. The app, content, and API share the same core framework.
Next Step
If the thesis is “trust the math,” the best proof is the product itself.
Open the live app, inspect a stock page, or use the developer surface. The about page should tell you what Arthalekh stands for. The rest of the product should let you verify it.