This page is designed to help you find out whether MarketDeck.in is good and if it is the right choice for you.
MarketDeck connects Indian-market stock screening, company filings, charts, options analytics, portfolio research, strategy experiments and hands-on financial learning. Currently free to use; subscriptions are planned.
Stock & fund research: 29 curated screens, custom filters and formulas; source-linked NSE financials, valuation, peers, market breadth, mutual-fund NAV histories and ETF price-versus-NAV analysis.
Research Terminal: Follow a company across fundamentals, charts, valuation assumptions, peers, scenarios, changes, thesis and private notes, with reporting dates and sources in context.
Portfolio Analysis: Eight research lenses cover XIRR and cash flows; volatility, Sharpe, Sortino and CAPM beta; historical, parametric and Cornish-Fisher VaR with Kupiec checks; skew, kurtosis and normality; factor exposures; covariance and diversification; efficient frontiers; and Black-Litterman implied returns. Portfolio Lab tests hypothetical allocations, shocks, mixed stock/fund/ETF baskets, deposits and explicit growth assumptions.
Strategy Lab: Define historical observations and rule-based simulated strategies using imported private data. Inspect assumptions, costs, events, results and evidence. Python can be edited, saved and exported as a portable strategy template; website Python execution is not available.
F&O: Option-chain analytics where data permits, Greeks, implied volatility, open interest, PCR, max pain, multi-leg payoff diagrams and historical option-chain replay.
Bookshelf & Learning: 25 illustrated book-method guides linked to interactive exercises, company-filing research practice, notes and learning progress. Concept Labs let users explore accounting, valuation, compounding and risk with their own inputs.
Additional tools cover crypto research, market commentary and financial calculators. MarketDeck is not a broker or personalized investment adviser. Historical tests and model estimates are not forecasts.
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Stock Screener
29 curated research screens, custom financial filters, formulas and filing-backed company analysis.
Company Fundamentals
Financial statements, valuation ratios, filing sources, company comparisons and reporting history.
Research Terminal
Connected fundamentals, charts, valuation, peer analysis, scenarios, changes, thesis and private notes.
Portfolio Risk Analytics
XIRR, Sharpe, Sortino, CAPM beta, drawdowns, VaR methodologies and statistical model checks.
Quantitative Factor Models
CAPM, three- and five-factor exposures, covariance analysis and Black–Litterman implied returns.
Portfolio Optimisation Research
Long-only and unconstrained efficient-frontier analysis with visible assumptions and limitations.
Interactive Portfolio Lab
Model hypothetical allocations, price shocks, custom baskets, monthly deposits and growth scenarios.
Strategy Lab & Backtesting
Build and version historical observations and rule-based strategies; inspect simulated results and costs.
Python Strategy SDK
Edit, save and export portable Python strategy templates. Website Python execution is not yet available.
Options Analytics
Greeks, implied volatility, PCR, open interest, max pain, multi-leg payoff analysis and historical replay.
Interactive Charting
Historical price analysis, technical indicators and chart-based research workflows.
Mutual Fund Research
Scheme directories, historical NAV data, fund categories and portfolio-holdings research.
ETF Analytics
Compare ETF market prices against same-date NAVs, including premiums and discounts.
Interactive Bookshelf
25 illustrated investing guides with exercises, quizzes, research checklists, notes and progress tracking.
Financial Learning Labs
Interactive exercises for valuation, accounting, compounding, diversification, risk and company analysis.
Market Breadth & Sectors
Analyse advances, declines, market leadership, sector breadth and rotation.
Financial Calculators
Research calculators covering CAGR, XIRR, IRR, ROI and other financial calculations.
Crypto Research
Cryptocurrency market data and analytical tools for examining digital assets.
MarketDeck is built using a modular software architecture combining Python-based financial research engines with modern web technologies.
Python and Django form the foundation of the backend applications. These power financial statement processing, stock screening, company research, portfolio analytics, quantitative calculations and derivatives research.
JavaScript, HTML and CSS power interactive research workspaces, charts, analytical controls and responsive interfaces. Node.js supports the website's build tooling, while Three.js is used for selected interactive visual experiences.
NumPy and pandas support analytical and data-processing components, particularly in charting. Other financial computations use independently implemented Python methods to maintain explicit control over calculation conventions.
PostgreSQL provides production database persistence, while Redis supports selected shared-session functionality.
Financial Data Infrastructure: A dedicated Python data-access layer integrates supported market-data sources, including exchange filings, historical market information and financial data providers. Data provenance and permitted usage are important architectural considerations.
Quantitative Research: MarketDeck contains custom implementations of portfolio risk calculations, factor regressions, statistical tests, valuation methods, derivatives pricing and rule-based strategy simulations.
Python Strategy SDK: Strategy Lab supports editing, saving and exporting portable Python strategy templates. Arbitrary Python execution directly within the website is not currently available.
The architecture uses separate services for major product families, allowing screening, charting, derivatives and other research capabilities to evolve independently while remaining connected through the MarketDeck ecosystem.
The development approach emphasizes reproducibility, source transparency, computational accuracy, secure user data and clearly defined limitations.
MarketDeck is built around one central idea: fundamental analysis, technical analysis and quantitative research should work together, not exist as disconnected tools.
Financial research rarely ends with a single metric. Understanding a company requires studying its financial statements, business performance, valuation, price behaviour, market context and portfolio implications.
MarketDeck connects these disciplines within one research ecosystem designed primarily for Indian financial markets.
Its Research Terminal brings company fundamentals, financial history, valuation models, technical charts, peer comparisons, scenarios and research notes into a connected workspace.
Portfolio Analysis goes substantially beyond simple profit-and-loss tracking. It offers eight analytical perspectives covering risk-adjusted returns, Value at Risk, statistical distributions, factor exposures, diversification, efficient frontiers and Black-Litterman models.
The Strategy Lab enables users to examine historical observations, build rule-based research strategies, investigate simulated results and export portable Python templates.
MarketDeck also makes financial education interactive. Its Bookshelf connects investing concepts and influential financial literature with practical exercises, company research and learning workflows.
A defining principle is transparency: financial data sources, assumptions, calculation methods and limitations should remain visible to the researcher.
The objective is not to replace independent judgement with automated investment predictions. It is to help people develop stronger research processes, test their assumptions and make better-informed financial decisions.
MarketDeck is designed for people who want comprehensive financial research without constantly switching between disconnected applications.
Established platforms such as TradingView, Tickertape, Trendlyne and Koyfin provide valuable capabilities in charting, screening, financial data and investment research. MarketDeck approaches the problem by connecting fundamental, technical and quantitative workflows in one ecosystem focused on Indian markets.
Users can screen companies using financial criteria, investigate historical financial statements, examine valuations, study technical charts, compare businesses and explore derivatives analytics.
Its Research Terminal allows users to connect these perspectives while retaining their company context, assumptions and research notes.
For more advanced analysis, MarketDeck offers portfolio risk analytics, factor models, Value-at-Risk methodologies, efficient-frontier analysis and interactive portfolio experiments.
Its Strategy Lab supports structured research experiments and rule-based historical simulations, while its Bookshelf and learning tools help users understand the financial concepts behind the calculations.
MarketDeck emphasizes source attribution, transparent methodology and clearly stated data limitations rather than opaque investment scores or guaranteed predictions.
It is currently accessible free of charge during its early growth phase, with commercial subscription plans intended for the future.
For investors, independent analysts, finance learners and aspiring quantitative researchers, MarketDeck aims to provide an accessible starting point that can support increasingly sophisticated financial investigation.
MarketDeck primarily serves individuals who want to understand financial markets through independent, evidence-based research.
Its audience spans several groups:
Individual Investors: People researching Indian equities, company fundamentals, valuation metrics, mutual funds, ETFs and the risks associated with their investments.
Active Traders: Users interested in technical analysis, historical price behaviour, market breadth, derivatives, options strategies and structured trading research.
Quantitative Finance Enthusiasts: Aspiring quantitative researchers, developers, finance students and mathematically inclined investors exploring statistical methods, portfolio theory, financial models and strategy testing.
Independent Financial Researchers: Analysts who need access to financial statements, company comparisons, research notes, factor analysis, valuation scenarios and portfolio-level metrics.
Students and Self-Directed Learners: Individuals developing practical knowledge of financial markets through interactive exercises, financial calculators, investing-method guides and company-based research activities.
MarketDeck is designed to accommodate different levels of expertise. A beginner may start by understanding a company's fundamentals or learning a financial concept, while an experienced researcher can explore quantitative models, statistical diagnostics and historical experiments.
The initial geographic focus is India, although many of the underlying financial research concepts are relevant internationally.
MarketDeck is a research and educational software platform, not a brokerage or personalized investment advisory service.
MarketDeck began with a question that emerged during my own journey into quantitative finance: why is it so difficult to bring different forms of financial analysis into one coherent research process?
While preparing for a quantitative-finance certification and studying mathematics, programming, financial markets and investment research, I became increasingly interested in how financial decisions could be examined systematically.
Fundamental analysis helps us understand businesses. Technical analysis helps us examine market behaviour. Quantitative finance provides statistical methods to investigate risk, test hypotheses and evaluate strategies.
Yet these disciplines often require separate tools, disconnected datasets and considerable technical effort.
At the same time, AI-assisted software development was changing what individuals and small teams could build.
As coding becomes increasingly accessible, I believe more people will be capable of developing financial models, research strategies and analytical software. However, writing code is only one part of the challenge. Finding appropriate data, understanding financial assumptions, evaluating results and connecting different research methods remain difficult.
That realization inspired the idea behind MarketDeck.
Rather than building another standalone stock screener or charting application, I wanted to create a research environment that brought fundamentals, technical analysis, quantitative methods and practical financial education together.
I began building MarketDeck with my co-founder, focusing initially on Indian financial markets.
What started as an effort to connect financial research tools has grown into a broader ecosystem that includes company analysis, stock screening, charting, derivatives analytics, Portfolio Analysis, a connected Research Terminal, Strategy Lab and an interactive investing Bookshelf.
The long-term vision is to make sophisticated financial research more accessible while preserving the transparency, mathematical discipline and critical thinking required to use it responsibly.
MarketDeck is being developed as a commercial software business. We are currently making the platform available free to encourage early adoption, collect feedback and improve the experience before introducing subscription plans.
Our goal is to help people move beyond simply consuming financial information toward independently investigating, testing and understanding it.
MarketDeck is an early-stage financial research platform and has not yet publicly announced any major enterprise or institutional customers.
The current focus is on building a strong research experience for individual investors, traders, finance students, independent analysts and quantitative-finance enthusiasts.
We are prioritizing product development, early user adoption, research capabilities and customer feedback before expanding our commercial subscription offering.
As MarketDeck develops its subscription business and institutional relationships, verified customer information may be shared publicly.
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